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Answer Explained: What should SysOps administrator do to review Amazon EBS volumes associated with EC2 instances and create cost optimization recommendations in the MOST operationally efficient way

Question

A company has users that deploy Amazon EC2 instances that have more disk performance capacity than is required. A SysOps administrator needs to review all Amazon Elastic Block Store (Amazon EBS) volumes that are associated with the instances and create cost optimization recommendations based on IOPS and throughput.

What should the SysOps administrator do to meet these requirements in the MOST operationally efficient way?

A. Use the monitoring graphs in the EC2 console to view metrics for EBS volumes. Review the consumed space against the provisioned space on each volume. Identify any volumes that have low utilization.
B. Stop the EC2 instances from the EC2 console. Change the EC2 instance type for Amazon EBS-optimized. Start the EC2 instances.
C. Opt in to AWS Compute Optimizer. Allow sufficient time for metrics to be gathered. Review the Compute Optimizer findings for EBS volumes.
D. Install the fio tool onto the EC2 instances and create a .cfg file to approximate the required workloads. Use the benchmark results to gauge whether the provisioned EBS volumes are of the most appropriate type.

Answer

C. Opt in to AWS Compute Optimizer. Allow sufficient time for metrics to be gathered. Review the Compute Optimizer findings for EBS volumes.

Explanation 1

The MOST operationally efficient way to meet the requirements is to opt in to AWS Compute Optimizer and review the Compute Optimizer findings for EBS volumes.

Option A is not as operationally efficient as Option C because it would require the SysOps administrator to manually review the monitoring graphs for each EBS volume. This could be time-consuming and error-prone.

Option B is not as operationally efficient as Option C because it would require the SysOps administrator to stop and start the EC2 instances. This could disrupt the company’s workloads.

Option D is not as operationally efficient as Option C because it would require the SysOps administrator to install the fio tool on each EC2 instance and create a .cfg file for each workload. This could be time-consuming and error-prone.

To opt in to AWS Compute Optimizer:

  1. Open the AWS Compute Optimizer console.
  2. Click Get started.
  3. Click Opt in.

To review the Compute Optimizer findings for EBS volumes:

  1. Open the AWS Compute Optimizer console.
  2. Click Recommendations.
  3. In the Recommendation type filter, select EBS.
  4. Review the recommendations.

The Compute Optimizer recommendations will include information about the current EBS volume type, the recommended EBS volume type, and the potential cost savings.

Additional benefits of using AWS Compute Optimizer:

  • AWS Compute Optimizer is a fully managed service, so you don’t need to worry about managing the infrastructure required to run the service.
  • AWS Compute Optimizer is highly scalable, so it can handle large volumes of data.
  • AWS Compute Optimizer provides actionable recommendations that can help you to reduce your AWS costs.

Overall, opting in to AWS Compute Optimizer and reviewing the Compute Optimizer findings for EBS volumes is the most operationally efficient way to meet the requirements.

Additional tips for optimizing EBS volume costs:

  • Use the appropriate EBS volume type for your workloads. General Purpose (gp2) EBS volumes are a good choice for most workloads. However, if you need high performance, you may want to use Provisioned IOPS (io1) or Provisioned Throughput (tp1) EBS volumes.
  • Use the appropriate EBS volume size for your workloads. If you are overprovisioning EBS volumes, you can reduce your costs by downsizing the volumes.
  • Use EBS snapshots to create backups of your EBS volumes. You can then use the snapshots to restore your EBS volumes if they are lost or damaged.
  • Delete unused EBS volumes. You can do this using the AWS Console, the AWS CLI, or the AWS SDK.

By following these tips, you can optimize your EBS volume costs and save money on your AWS bill.

Explanation 2

To meet the requirement of reviewing Amazon Elastic Block Store (Amazon EBS) volumes associated with Amazon EC2 instances and creating cost optimization recommendations based on IOPS (Input/Output Operations Per Second) and throughput, the most operationally efficient option for a SysOps administrator would be option C: Opt in to AWS Compute Optimizer and review the Compute Optimizer findings for EBS volumes.

Here’s a detailed explanation of why option C is the correct choice:

  • AWS Compute Optimizer: AWS Compute Optimizer is a service that analyzes the resource utilization of EC2 instances and provides recommendations for optimizing performance and cost. It uses machine learning algorithms to identify opportunities for improving resource allocation. By opting in to Compute Optimizer, the SysOps administrator can leverage its capabilities to analyze the EBS volumes associated with the EC2 instances.
  • Metrics Gathering: After opting in to Compute Optimizer, it will gather metrics related to the performance and usage of EBS volumes over time. It is important to allow sufficient time for Compute Optimizer to collect these metrics before reviewing its findings. This ensures that the recommendations provided are based on accurate and representative data.
  • Compute Optimizer Findings: Once sufficient metrics have been gathered, the SysOps administrator can review the Compute Optimizer findings for the EBS volumes. Compute Optimizer analyzes the metrics and provides recommendations on the appropriate volume types, sizes, and configurations based on IOPS and throughput requirements. These recommendations help in identifying opportunities for cost optimization by matching the disk performance capacity to the actual requirements of the EC2 instances.

Option A suggests using the monitoring graphs in the EC2 console to view metrics for EBS volumes and manually reviewing the consumed space against the provisioned space. While this approach provides some visibility into the volume utilization, it does not specifically focus on optimizing cost based on IOPS and throughput.

Option B suggests stopping the EC2 instances, changing the EC2 instance type for Amazon EBS-optimized, and then starting the instances. This approach is not operationally efficient as it involves stopping and starting the instances, which may cause disruption to the running workloads. Additionally, it does not specifically address the requirement of reviewing cost optimization recommendations based on IOPS and throughput.

Option D suggests installing the fio tool on the EC2 instances and using benchmark results to gauge the appropriateness of the provisioned EBS volumes. While this approach can provide performance insights, it requires additional configuration and manual analysis, making it less operationally efficient compared to using AWS Compute Optimizer.

In summary, option C – opting in to AWS Compute Optimizer and reviewing the Compute Optimizer findings for EBS volumes – is the most operationally efficient choice for reviewing EBS volumes associated with EC2 instances and creating cost optimization recommendations based on IOPS and throughput.

Explanation 3

The correct answer is C. Opt in to AWS Compute Optimizer. Allow sufficient time for metrics to be gathered. Review the Compute Optimizer findings for EBS volumes.

AWS Compute Optimizer is a service that analyzes the configuration and utilization metrics of your AWS resources, such as EC2 instances and EBS volumes, and provides recommendations for optimal performance and cost. By opting in to Compute Optimizer, you can enable the service to collect and analyze data from your AWS account and generate recommendations based on the historical usage patterns of your resources.

For EBS volumes, Compute Optimizer can recommend a different volume type or size that can better meet your performance or cost requirements. For example, if you have a provisioned IOPS SSD (io1 or io2) volume that has low IOPS utilization, Compute Optimizer can suggest a general purpose SSD (gp2 or gp3) volume that can provide the same or better performance at a lower cost. Similarly, if you have a throughput optimized HDD (st1) volume that has low throughput utilization, Compute Optimizer can suggest a cold HDD (sc1) volume that can provide the same or better performance at a lower cost.

To use Compute Optimizer for EBS volumes, you need to opt in to the service from the AWS Management Console, AWS CLI, or AWS SDKs. You also need to ensure that your EC2 instances are running on a supported platform and have detailed monitoring enabled. After you opt in, Compute Optimizer will start collecting and analyzing data from your account and generate recommendations within 12 hours. You can then review the recommendations from the Compute Optimizer console or API and decide whether to apply them or not.

By using Compute Optimizer for EBS volumes, you can optimize the performance and cost of your storage resources in the most operationally efficient way, without having to manually monitor and benchmark each volume. This can help you reduce waste and improve your return on investment.

Explanation 4

The correct answer is C. Opt in to AWS Compute Optimizer. Allow sufficient time for metrics to be gathered. Review the Compute Optimizer findings for EBS volumes.

AWS Compute Optimizer is a service that analyzes the configuration and utilization metrics of your AWS resources and generates optimization recommendations to reduce the cost and improve the performance of your workloads. You can use Compute Optimizer to review all EBS volumes that are associated with your EC2 instances and create cost optimization recommendations based on IOPS and throughput.

To use Compute Optimizer, you need to opt in to the service from the AWS Management Console, the AWS Command Line Interface (AWS CLI), or the AWS SDKs. After you opt in, Compute Optimizer begins analyzing the specifications and the utilization metrics of your resources from Amazon CloudWatch for the last 14 days. For EBS volumes, Compute Optimizer analyzes the volume type, size, IOPS, throughput, and other specifications. It also analyzes the volume read and write operations per second (IOPS), throughput, queue length, idle time, and other utilization metrics.

After sufficient metric data is gathered, Compute Optimizer generates findings and recommendations for your EBS volumes. You can view the findings on the Compute Optimizer console or through the APIs. The findings show whether your EBS volumes are optimal, underprovisioned, or overprovisioned. The recommendations show alternative volume types and configurations that can reduce your cost or improve your performance.

The other options are not the most operationally efficient way to meet the requirements because:

  • A. Use the monitoring graphs in the EC2 console to view metrics for EBS volumes. Review the consumed space against the provisioned space on each volume. Identify any volumes that have low utilization: This option is not operationally efficient because it requires you to manually inspect each volume and compare its consumed space and provisioned space. This can be time-consuming and error-prone. Moreover, this option does not consider other factors such as IOPS and throughput that affect the performance of your workloads.
  • B. Stop the EC2 instances from the EC2 console. Change the EC2 instance type for Amazon EBS-optimized. Start the EC2 instances: This option is not operationally efficient because it does not address the problem of overprovisioned or underprovisioned EBS volumes. Changing the EC2 instance type for Amazon EBS-optimized only affects the network bandwidth between the instance and the volume, not the volume performance itself. Moreover, this option can cause downtime for your workloads.
  • D. Install the fio tool onto the EC2 instances and create a .cfg file to approximate the required workloads. Use the benchmark results to gauge whether the provisioned EBS volumes are of the most appropriate type: This option is not operationally efficient because it requires you to install and run a third-party tool on each EC2 instance and create a configuration file that mimics your workloads. This can be complex and resource-intensive. Moreover, this option does not leverage the existing CloudWatch metrics that are collected by default for EBS volumes.

I hope this answer helps you understand how to use AWS Compute Optimizer to review all EBS volumes that are associated with your EC2 instances and create cost optimization recommendations based on IOPS and throughput.

Explanation 5

The correct answer is C. Opt in to AWS Compute Optimizer. Allow sufficient time for metrics to be gathered. Review the Compute Optimizer findings for EBS volumes.

Explanation:

AWS Compute Optimizer is a service that helps you optimize your AWS compute resources, such as EC2 instances, EBS volumes, Lambda functions, and Auto Scaling groups. Compute Optimizer analyzes your historical utilization metrics and provides recommendations for optimal configuration and performance of your resources. You can use Compute Optimizer to reduce costs, improve performance, and increase reliability of your workloads.

To use Compute Optimizer, you need to opt in to the service from the AWS Management Console, AWS CLI, or AWS SDKs. You also need to ensure that you have sufficient permissions and that you have enabled the required AWS services and features, such as CloudWatch, AWS Systems Manager, and AWS Identity and Access Management (IAM). Once you opt in, Compute Optimizer will start collecting and analyzing your metrics for up to 14 days before generating recommendations. You can then view the recommendations from the Compute Optimizer console or API.

To review the recommendations for EBS volumes, you can select the EBS volumes option from the navigation pane in the Compute Optimizer console. You can then see a list of your EBS volumes and their current configuration, performance, and utilization. You can also see the recommended volume type and size for each volume, as well as the expected performance improvement and cost difference. You can filter, sort, or export the recommendations based on various criteria, such as volume ID, account ID, Region, or finding. You can also view detailed information about each volume and its recommendation by selecting it from the list.

By using this solution, you can review all EBS volumes that are associated with the EC2 instances and create cost optimization recommendations based on IOPS and throughput. This solution meets the requirements of the company, as it allows them to identify any volumes that have more disk performance capacity than is required, and to choose the most appropriate volume type and size for their workloads. This solution is also the most operationally efficient one, as it does not require them to write any custom code or use any additional tools. It also leverages the existing functionality and scalability of AWS Compute Optimizer.

The other options are not correct for the following reasons:

A. Use the monitoring graphs in the EC2 console to view metrics for EBS volumes. Review the consumed space against the provisioned space on each volume. Identify any volumes that have low utilization.

This option is not operationally efficient, as it requires them to manually view and compare the metrics for each EBS volume in the EC2 console. It also does not provide any recommendations for optimal volume type and size based on IOPS and throughput. It only provides information about the consumed space versus the provisioned space on each volume.

B. Stop the EC2 instances from the EC2 console. Change the EC2 instance type for Amazon EBS-optimized. Start the EC2 instances.

This option is not correct, as it does not address the issue of EBS volume optimization. It only changes the EC2 instance type for EBS-optimized, which means that the instance can fully utilize the IOPS provisioned on an EBS volume. However, this does not guarantee that the EBS volume has the optimal type and size for the workload.

D. Install the fio tool onto the EC2 instances and create a .cfg file to approximate the required workloads. Use the benchmark results to gauge whether the provisioned EBS volumes are of the most appropriate type.

This option is not operationally efficient, as it requires them to install and configure a third-party tool on each EC2 instance that will perform the benchmark tests. It also does not provide any recommendations for optimal volume type and size based on IOPS and throughput. It only provides information about the performance of each EBS volume under different workloads.

Explanation 6

The most operationally efficient option would be to opt in to AWS Compute Optimizer (option C).

AWS Compute Optimizer is a service that analyzes workload patterns and makes recommendations to optimize compute resources like EC2 instances and EBS volumes. It does not require any manual installation or configuration on instances. By opting in, Compute Optimizer will automatically gather metrics from the instances and EBS volumes over time to understand usage patterns.

The administrator can then review the recommendations provided by Compute Optimizer. It will likely identify any EBS volumes that have more provisioned IOPS or throughput capacity than needed based on actual workload patterns, and recommend right-sizing them to reduce costs. This allows optimization to be done automatically with minimal manual effort or configuration required by the administrator.

Compared to the other options:

A) Reviewing metrics manually in the EC2 console would require more time and effort from the administrator to analyze metrics for each volume.

B) Changing instance types would not directly address optimization of EBS volumes.

D) Installing monitoring tools like fio requires manual configuration and work to be done on each instance, and then analyzing the results, which is more complex than letting Compute Optimizer do this automatically.

So in summary, option C using AWS Compute Optimizer is the most operationally efficient approach as it allows optimization recommendations to be generated automatically with minimal manual effort required from the administrator.

Explanation 7

The most operationally efficient way for the SysOps administrator to review Amazon Elastic Block Store (Amazon EBS) volumes and create cost optimization recommendations based on IOPS and throughput is to choose option A: Use the monitoring graphs in the EC2 console to view metrics for EBS volumes and review the consumed space against the provisioned space on each volume to identify any volumes with low utilization.

Here’s a detailed explanation of why option A is the best choice:

Option A suggests using the monitoring graphs in the EC2 console to view metrics for EBS volumes. This approach allows the SysOps administrator to gather important information about the EBS volumes associated with the instances. By reviewing the consumed space against the provisioned space on each volume, the administrator can identify volumes that have low utilization.

Low utilization indicates that the disk performance capacity of the instances is more than what is required by the users. By identifying these underutilized volumes, the administrator can make cost optimization recommendations to the company. This may involve downsizing the EBS volumes or changing the instance types to match the actual workload requirements, thereby reducing unnecessary costs.

Option B suggests stopping the EC2 instances from the EC2 console, changing the EC2 instance type for Amazon EBS-optimized, and then starting the instances. While this approach may help optimize performance, it does not directly address the requirement of reviewing EBS volumes and creating cost optimization recommendations based on IOPS and throughput. Therefore, it is not the most operationally efficient way to meet the given requirements.

Option C suggests opting in to AWS Compute Optimizer and reviewing its findings for EBS volumes. While Compute Optimizer can provide recommendations for optimizing EC2 instances, it may not specifically focus on EBS volumes and their associated metrics like IOPS and throughput. Therefore, it may not be the most efficient approach for the given requirements.

Option D suggests installing the fio tool onto the EC2 instances and using benchmark results to gauge the appropriateness of the provisioned EBS volumes. While this approach can provide valuable insights into the performance of the EBS volumes, it requires additional setup and configuration. It may not be as operationally efficient as using the built-in monitoring graphs in the EC2 console, which provide a simpler and more direct way to review the required metrics.

In summary, option A is the most operationally efficient way for the SysOps administrator to review Amazon EBS volumes and create cost optimization recommendations based on IOPS and throughput.

Explanation 8

To optimize the cost of Amazon Elastic Block Store (EBS) volumes associated with the EC2 instances, the SysOps administrator should follow option C, which is to opt in to AWS Compute Optimizer and allow sufficient time for metrics to be gathered. The Compute Optimizer will analyze the workloads and provide recommendations for the most appropriate EBS volume types based on the actual usage patterns. This approach is more operationally efficient and accurate compared to the other options, as it uses real-time data and machine learning to make informed decisions.

In the context of the question, the SysOps administrator is looking to optimize the cost of EBS volumes by ensuring that the provisioned storage is suitable for the actual workloads. By using the Compute Optimizer, they can receive recommendations tailored to their specific use case, which will help reduce unnecessary expenses and improve overall efficiency. The other options, such as reviewing the consumed space against the provisioned space or using the fio tool, may not provide the same level of accuracy and customization as the Compute Optimizer.

Option A would only provide a snapshot of the current usage, while option D would require manual testing and may not be as accurate as the automated recommendations provided by the Compute Optimizer. Option B would change the EC2 instance type, but this might not directly address the EBS volume optimization. Therefore, option C is the most suitable choice for the SysOps administrator to achieve the desired outcome.

Explanation 9

The MOST operationally efficient way for the SysOps administrator to meet these requirements is to opt in to AWS Compute Optimizer. Allow sufficient time for metrics to be gathered. Review the Compute Optimizer findings for EBS volumes.

Option A is not as efficient as Option C because it would require the SysOps administrator to manually review the metrics for all EBS volumes. This could be time-consuming and error-prone.

Option B is not as efficient as Option C because it would require the SysOps administrator to stop and start all EC2 instances, which could disrupt the company’s workloads. Additionally, this option would not provide the SysOps administrator with any recommendations on how to optimize the EBS volumes.

Option D is not as efficient as Option C because it would require the SysOps administrator to manually install and configure the fio tool on all EC2 instances. Additionally, this option would require the SysOps administrator to have a good understanding of how to use the fio tool to benchmark EBS volumes.

To opt in to AWS Compute Optimizer:

  1. Open the AWS Compute Optimizer console.
  2. Click Enable.
  3. Click Enable recommendations.

To review the Compute Optimizer findings for EBS volumes:

  1. Open the AWS Compute Optimizer console.
  2. Click Recommendations.
  3. In the Filter by resource type drop-down list, select EBS volume.
  4. Review the findings and recommendations for each EBS volume.

The SysOps administrator can use the Compute Optimizer findings and recommendations to identify EBS volumes that are overprovisioned and to make recommendations on how to optimize the EBS volumes.

Additional benefits of using AWS Compute Optimizer:

  • AWS Compute Optimizer is a fully managed service, so the SysOps administrator does not need to worry about managing any infrastructure.
  • AWS Compute Optimizer is scalable, so it can handle large volumes of data.
  • AWS Compute Optimizer is easy to use, and it provides clear and concise recommendations.

Overall, opting in to AWS Compute Optimizer is the most operationally efficient way for the SysOps administrator to meet the requirements.

Explanation 10

To review Amazon Elastic Block Store (Amazon EBS) volumes associated with Amazon EC2 instances for cost optimization recommendations based on IOPS and throughput in the MOST operationally efficient way, the SysOps administrator should:

Option D: Install the fio tool onto the EC2 instances and create a .cfg file to approximate the required workloads. Use the benchmark results to gauge whether the provisioned EBS volumes are of the most appropriate type.

Here’s why Option D is the most efficient choice:

  • Benchmarking with fio: The fio tool is a widely used benchmarking tool that can simulate various disk I/O workloads. By installing fio on the EC2 instances and creating a .cfg file to approximate the required workloads, you can gather specific performance data that closely matches the actual usage patterns of your applications. This provides a highly accurate assessment of whether the provisioned EBS volumes are appropriately sized in terms of IOPS and throughput.
  • Granular Analysis: Fio benchmarking allows you to analyze EBS volume performance at a granular level. You can identify whether the current volume configuration is overprovisioned or underutilized based on the specific needs of your applications.

Option A (using monitoring graphs in the EC2 console) provides some insight into EBS volume usage but lacks the granularity and accuracy provided by fio benchmarking. It may not give you the precise data needed for making cost optimization recommendations.

Option B (stopping and changing EC2 instance types) is a costly and disruptive approach that doesn’t directly address the performance characteristics of the EBS volumes. It is better suited for addressing CPU and memory capacity, not EBS performance.

Option C (opting in to AWS Compute Optimizer) is more focused on optimizing EC2 instances themselves and doesn’t provide detailed information on EBS volume performance characteristics such as IOPS and throughput.

In summary, Option D (using the fio benchmarking tool to assess EBS volume performance) is the most operationally efficient way to gather accurate and granular data on EBS volume performance, which is crucial for making cost optimization recommendations based on IOPS and throughput for EC2 instances with overprovisioned disk performance.

Explanation 11

The most operationally efficient way to meet these requirements would be option C: Opt in to AWS Compute Optimizer. Allow sufficient time for metrics to be gathered. Review the Compute Optimizer findings for EBS volumes.

AWS Compute Optimizer uses machine learning to analyze the configuration and utilization metrics of your AWS resources, and provides recommendations on how to optimize them. It can provide recommendations for EC2 instances, EBS volumes, and Lambda functions. For EBS volumes, it can recommend a volume type and size that can provide the required performance at the lowest possible cost. This makes it a powerful tool for cost optimization.

The other options are less efficient or accurate. Monitoring graphs in the EC2 console (option A) can provide useful information, but it requires manual review and doesn’t provide specific recommendations. Changing the EC2 instance type for Amazon EBS-optimized (option B) may not reduce costs if the EBS volumes are over-provisioned. Using the fio tool to benchmark EBS volumes (option D) can provide useful information, but it requires significant manual work and expertise to interpret the results and make cost optimization recommendations.

Explanation 12

The most operationally efficient way for a SysOps administrator to review all Amazon Elastic Block Store (Amazon EBS) volumes associated with EC2 instances and create cost optimization recommendations based on IOPS and throughput is to:

C. Opt in to AWS Compute Optimizer. Allow sufficient time for metrics to be gathered. Review the Compute Optimizer findings for EBS volumes.

The AWS Compute Optimizer can analyze various resources, including EC2 instances and EBS volumes, and provide recommendations for cost optimization based on the observed workload. By opting in to the service, the SysOps administrator can leverage this tool to efficiently review and make informed decisions about the EBS volumes associated with the EC2 instances in the company.

Explanation 13

To meet the requirements in the MOST operationally efficient way, the SysOps administrator should:

Opt in to AWS Compute Optimizer. Allow sufficient time for metrics to be gathered. Review the Compute Optimizer findings for EBS volumes.

AWS Compute Optimizer is a service that provides recommendations for optimizing the cost of your AWS resources. It can identify EBS volumes that are over-provisioned and recommend ways to reduce your costs.

Using AWS Compute Optimizer is the most operationally efficient way to review all Amazon Elastic Block Store (Amazon EBS) volumes that are associated with the instances and create cost optimization recommendations based on IOPS and throughput because it does not require the SysOps administrator to manually gather and analyze metrics.

Explanation 14

C. Opt in to AWS Compute Optimizer. Allow sufficient time for metrics to be gathered. Review the Compute Optimizer findings for EBS volumes.

This option is the most operationally efficient way to review all Amazon Elastic Block Store (EBS) volumes associated with EC2 instances and create cost optimization recommendations based on IOPS and throughput. Here’s why:

  1. AWS Compute Optimizer provides detailed recommendations for EC2 instances and EBS volumes based on real-time performance data, including IOPS and throughput.
  2. By opting in to Compute Optimizer, the SysOps administrator can receive recommendations for the most appropriate EBS volume types based on the workload requirements of the EC2 instances.
  3. Compute Optimizer provides recommendations for both best practices and cost optimization, ensuring that the EBS volumes are not only performing well but also cost-effective.
  4. The SysOps administrator can review the Compute Optimizer findings for EBS volumes and make adjustments as needed, such as changing the EBS volume type or size, to optimize performance and cost.

The other options are not as effective:

A. Using the monitoring graphs in the EC2 console is a manual process that requires the SysOps administrator to continuously monitor the EBS volumes and identify any potential issues or optimization opportunities.

B. Changing the EC2 instance type to an EBS-optimized instance type may not be the most cost-effective solution, as it may not address the specific EBS volume requirements of the workload.

D. Installing the fio tool onto the EC2 instances and creating a .cfg file to approximate the required workloads is a manual and time-consuming process that may not provide the most accurate results, especially if the workload is complex or dynamic.

Therefore, option C is the most operationally efficient way to review all EBS volumes associated with EC2 instances and create cost optimization recommendations based on IOPS and throughput.

Explanation 15

The MOST operationally efficient way to meet these requirements is to opt in to AWS Compute Optimizer. Allow sufficient time for metrics to be gathered. Review the Compute Optimizer findings for EBS volumes.

Option A is not as efficient as Option C because it requires the SysOps administrator to manually review the monitoring graphs in the EC2 console for each EBS volume. This can be time-consuming and error-prone.

Option B is not as efficient as Option C because it requires the SysOps administrator to stop and start the EC2 instances. This can disrupt the company’s workloads.

Option D is not as efficient as Option C because it requires the SysOps administrator to install and configure the fio tool on each ECBS instance. This can be time-consuming and error-prone.

AWS Compute Optimizer is a service that recommends ways to optimize AWS costs. Compute Optimizer can identify EBS volumes that are provisioned with more IOPS and throughput than is required.

To opt in to AWS Compute Optimizer:

  1. Open the AWS Systems Manager console.
  2. Click Compute Optimizer.
  3. Click Enable Compute Optimizer.

To review the Compute Optimizer findings for EBS volumes:

  1. Open the AWS Systems Manager console.
  2. Click Compute Optimizer.
  3. Click Recommendations.
  4. In the Filter section, select EBS volumes in the Recommendation category field.
  5. Click Apply filters.

The Compute Optimizer findings will be displayed in the Recommendations table. The findings will include recommendations to reduce the size of EBS volumes or to change the EBS volume type.

The SysOps administrator can review the Compute Optimizer findings and implement the recommendations to optimize the cost of the company’s EBS volumes.

Additional benefits of using AWS Compute Optimizer:

  • AWS Compute Optimizer is a fully managed service, so the SysOps administrator does not need to worry about managing the infrastructure required to run the service.
  • AWS Compute Optimizer is highly scalable, so it can handle large volumes of data.
  • AWS Compute Optimizer is easy to use, and the findings are presented in a clear and concise format.

Overall, opting in to AWS Compute Optimizer is the most operationally efficient way to meet the requirements of this question.

Explanation 16

I would recommend option C: Opt in to AWS Compute Optimizer. This is the most operationally efficient way to review all Amazon Elastic Block Store (Amazon EBS) volumes associated with Amazon Elastic Compute Cloud (EC2) instances and create cost optimization recommendations based on IOPS and throughput.

AWS Compute Optimizer is a service provided by AWS that helps users identify underutilized instances and optimize their instance types to reduce costs. By opting in to AWS Compute Optimizer, you can automatically collect detailed performance data for your EC2 instances, including EBS volumes, and generate recommendations to optimize instance types and reduce costs.

To use AWS Compute Optimizer, you will need to:

  1. Identify the EC2 instances that are associated with the EBS volumes you want to review.
  2. Opt in to AWS Compute Optimizer for those instances.
  3. Allow sufficient time for metrics to be gathered. This can take several hours or days, depending on the number of instances and the amount of data to be collected.
  4. Review the Compute Optimizer findings for EBS volumes. The service will generate recommendations based on the performance data collected, including suggestions for instance type optimization.

Once you have reviewed the recommendations, you can act on them to optimize the instance types and reduce costs. This approach is the most operationally efficient because it automates the process of collecting and reviewing performance data, and provides actionable recommendations to optimize instance types.

Compared to the other options, using monitoring graphs in the EC2 console to view metrics for EBS volumes (option A) does not provide a comprehensive view of performance data and may not identify all instances that could be optimized. Stopping EC2 instances (option B) is not recommended as it can cause downtime and disrupt business operations. Installing the fio tool (option D) is a more advanced approach that can provide detailed performance benchmarks, but it requires manual configuration and may not be as easy to use or understand as AWS Compute Optimizer.

In summary, opting in to AWS Compute Optimizer is the most operationally efficient way to review all Amazon Elastic Block Store (Amazon EBS) volumes associated with Amazon Elastic Compute Cloud (EC2) instances and create cost optimization recommendations based on IOPS and throughput.

Explanation 17

The correct answer is C. Opt in to AWS Compute Optimizer. Allow sufficient time for metrics to be gathered. Review the Compute Optimizer findings for EBS volumes.

Compute Optimizer is a service provided by AWS that helps customers optimize their EC2 instance types and EBS volumes to match their workloads. It does this by analyzing usage patterns and providing recommendations for instance type and volume changes that can help reduce costs while maintaining performance.

To use Compute Optimizer, you would first need to opt in to the service in the AWS Management Console. Once enabled, Compute Optimizer will begin gathering usage data for your instances and EBS volumes. After sufficient data has been collected, you can view the recommendations provided by Compute Optimizer in the AWS Management Console.

The Compute Optimizer recommendations will include suggestions for instance type and EBS volume changes that can help reduce costs while maintaining performance. These recommendations are based on the actual usage patterns of your instances and EBS volumes, so they are tailored to your specific workload.

Option A is not the most operationally efficient way to optimize EBS volumes because it requires manually monitoring usage patterns and identifying underutilized volumes. This approach can be time-consuming and may not take into account changes in usage patterns over time.

Option B is not a valid solution because changing the EC2 instance type to EBS-optimized will not provide recommendations for EBS volume optimization.

Option D is not a valid solution because installing the fio tool and creating a .cfg file to approximate the required workloads is a manual process that may not provide accurate results. Additionally, it may not take into account changes in usage patterns over time.

In summary, using Compute Optimizer is the most operationally efficient way to optimize EBS volumes because it provides tailored recommendations based on actual usage patterns and eliminates the need for manual monitoring and analysis.

Explanation 18

The most operationally efficient way for the SysOps administrator to review Amazon Elastic Block Store (Amazon EBS) volumes and create cost optimization recommendations based on IOPS and throughput is to choose option A: Use the monitoring graphs in the EC2 console to view metrics for EBS volumes and review the consumed space against the provisioned space on each volume to identify any volumes with low utilization.

Option A allows the SysOps administrator to leverage the built-in monitoring capabilities provided by AWS to analyze the EBS volumes’ performance and usage. By accessing the EC2 console and viewing the monitoring graphs, the administrator can obtain crucial metrics such as IOPS (Input/Output Operations Per Second) and throughput for each EBS volume associated with the instances.

To perform the necessary steps, the SysOps administrator can follow these guidelines:

  1. Log in to the AWS Management Console.
  2. Navigate to the EC2 service.
  3. Select the relevant instances for which you want to review the EBS volumes.
  4. Click on the “Monitoring” tab to view the monitoring graphs.
  5. Analyze the metrics displayed for each EBS volume, focusing on the consumed space compared to the provisioned space.
  6. Identify volumes that exhibit low utilization, indicating that they have more disk performance capacity than required.

By identifying volumes with low utilization, the SysOps administrator can make cost optimization recommendations. These recommendations may include resizing or downsizing the volumes, changing the volume type, or implementing other strategies to match the actual workload requirements more closely, thus reducing unnecessary costs associated with overprovisioning.

Option A is the most operationally efficient choice because it leverages existing monitoring features provided by AWS, eliminating the need for additional tools or complex configuration. It allows for a straightforward analysis of the EBS volumes’ metrics and identification of underutilized resources, enabling the administrator to make cost optimization recommendations based on IOPS and throughput.

Explanation 19

The most operationally efficient way for the SysOps administrator to meet the requirements is to opt in to AWS Compute Optimizer (option C).

AWS Compute Optimizer automatically analyzes application usage patterns, identifies workload patterns, and recommends the optimal instance type, Amazon EBS volume type, and size combinations to best suit the workloads with good performance at the lowest cost. By opting the account in to Compute Optimizer and allowing sufficient time for metrics to be gathered, the administrator can then review the findings and recommendations specifically around the EBS volumes. Compute Optimizer will identify any volumes that have more capacity than required based on the workload patterns and I/O metrics it collected.

While options A, B and D could also help identify underutilized EBS volumes, they require more manual effort from the administrator compared to letting AWS Compute Optimizer automatically analyze metrics and provide optimized recommendations. Stopping and modifying instances (option B) or installing profiling tools (option D) may also disrupt workloads. Option C allows AWS services to do the heavy lifting of analysis and makes optimized suggestions, providing the most operationally efficient approach for the administrator to review and implement cost optimizations for EBS volumes in this scenario.

Explanation 20

The most operationally efficient way for the SysOps administrator to meet the requirements is to opt in to AWS Compute Optimizer and allow sufficient time for metrics to be gathered, then review the Compute Optimizer findings for EBS volumes (Option C).

AWS Compute Optimizer automatically monitors applications and identifies underutilized or overprovisioned resources like EBS volumes. It provides optimized recommendations based on the analyzed metrics and workloads without requiring the administrator to manually gather or benchmark data. Opting in is non-disruptive, and the administrator can then review findings after metrics have been analyzed to identify any EBS volumes that are overprovisioned in IOPS or throughput capacity. This leverages an AWS service to do the analysis in the most hands-off, automated manner rather than requiring manual steps.

While options A and D would allow analyzing EBS utilization and benchmarking workloads, they require manual data collection and interpretation. Option B of changing EC2 instance types is not relevant to optimizing EBS volumes. Using Compute Optimizer as described in option C is clearly the most operationally efficient approach by automating the analysis using AWS services.

Explanation 21

The most operationally efficient way for the SysOps administrator to review Amazon Elastic Block Store (Amazon EBS) volumes and create cost optimization recommendations based on IOPS and throughput would be to choose option A: Use the monitoring graphs in the EC2 console to view metrics for EBS volumes and review the consumed space against the provisioned space on each volume. Identify any volumes that have low utilization.

Here’s a detailed explanation of why option A is the preferred choice:

A. Use the monitoring graphs in the EC2 console to view metrics for EBS volumes. Review the consumed space against the provisioned space on each volume. Identify any volumes that have low utilization.

This option utilizes the built-in monitoring capabilities of Amazon EC2 and provides a straightforward approach to reviewing EBS volume metrics. By accessing the EC2 console, the SysOps administrator can view various metrics related to the EBS volumes associated with the instances.

The monitoring graphs in the EC2 console provide valuable information about disk performance, including metrics such as IOPS (Input/Output Operations Per Second) and throughput. By analyzing these metrics, the SysOps administrator can determine the actual disk performance utilization of each EBS volume.

To identify volumes with low utilization, the administrator should review the consumed space against the provisioned space for each volume. If a volume has significantly more provisioned space than it actually utilizes, it may indicate that the disk performance capacity is greater than required. In such cases, the administrator can consider downsizing the EBS volumes to optimize costs while still meeting the required performance needs.

In summary, option A leverages the monitoring graphs in the EC2 console to access relevant metrics, enabling the SysOps administrator to review the consumed space versus provisioned space for EBS volumes and identify instances where disk performance capacity can be optimized to reduce costs.

Option B: Stop the EC2 instances from the EC2 console, change the EC2 instance type for Amazon EBS-optimized, and start the EC2 instances is not the most operationally efficient approach for this scenario. Changing the EC2 instance type would require stopping the instances, which would result in downtime and potential disruption to users. Additionally, this option doesn’t directly address the review of EBS volumes or provide specific recommendations based on IOPS and throughput.

Option C: Opting in to AWS Compute Optimizer and reviewing its findings for EBS volumes is a good practice for optimizing EC2 instances. However, it may not be the most operationally efficient solution for this particular scenario. Compute Optimizer analyzes the resource utilization of EC2 instances over a period of time and provides recommendations for improving performance and cost efficiency. While Compute Optimizer may provide valuable insights, it may not offer immediate and specific information related to the IOPS and throughput of individual EBS volumes.

Option D: Installing the fio tool on the EC2 instances and performing benchmark tests to gauge the appropriateness of provisioned EBS volumes is a valid approach for performance testing. However, it is not the most operationally efficient method for reviewing and optimizing EBS volumes. This option requires additional setup and configuration, including installing the fio tool and creating a .cfg file for workload approximation. It also involves performing benchmark tests, which may be time-consuming and complex. In this scenario, where the goal is to review and recommend cost optimization based on IOPS and throughput, option A provides a more straightforward and efficient solution.

Explanation 22

To meet the requirements in the most operationally efficient way, the SysOps administrator should use the monitoring graphs in the EC2 console to view metrics for Amazon Elastic Block Store (Amazon EBS) volumes. By reviewing the consumed space against the provisioned space on each volume, they can identify any volumes that have low utilization. This approach allows them to make cost optimization recommendations based on IOPS and throughput.

Option A is the correct choice because it provides a direct and efficient way to monitor and analyze EBS volume metrics. By identifying volumes with low utilization, the administrator can recommend resizing or modifying the volumes to match the actual disk performance capacity required by the users.

Option B is not recommended because changing the EC2 instance type for Amazon EBS-optimized requires stopping and starting the instances, which can cause downtime and disrupt user workflows.

Option C is not directly related to reviewing EBS volumes for cost optimization based on IOPS and throughput. AWS Compute Optimizer focuses on providing recommendations for EC2 instances, Auto Scaling groups, and AWS Lambda functions.

Option D suggests using the fio tool to approximate required workloads and gauge whether provisioned EBS volumes are appropriate. While this approach may provide some insights, it is not as efficient as using the monitoring graphs in the EC2 console.

Therefore, option A is the most operationally efficient way for the SysOps administrator to review EBS volumes and create cost optimization recommendations based on IOPS and throughput.

Explanation 23

To review all Amazon Elastic Block Store (Amazon EBS) volumes associated with Amazon EC2 instances and create cost optimization recommendations based on IOPS and throughput in the MOST operationally efficient way, a SysOps administrator should follow the MOST operationally efficient approach.

Among the given options, Option A is the most operationally efficient way to meet these requirements. The administrator should use the monitoring graphs in the EC2 console to view metrics for EBS volumes. By reviewing the consumed space against the provisioned space on each volume, the administrator can identify any volumes that have low utilization.

Using the monitoring graphs in the EC2 console provides a centralized and easy-to-use interface for reviewing metrics related to EBS volumes. The administrator can quickly identify volumes that have low utilization by comparing the consumed space against the provisioned space. This approach allows for efficient identification of EBS volumes that have more disk performance capacity than is required, enabling cost optimization recommendations based on IOPS and throughput.

Option B suggests stopping the EC2 instances from the EC2 console and changing the EC2 instance type for Amazon EBS-optimized. While this approach may work, it requires stopping and starting instances, which can result in downtime and potential disruption to running workloads.

Option C suggests opting in to AWS Compute Optimizer and reviewing the Compute Optimizer findings for EBS volumes. While this approach may provide some level of automation, it requires additional time for metrics to be gathered and may not provide real-time insights into cost optimization recommendations.

Option D suggests installing the fio tool onto the EC2 instances and creating a .cfg file to approximate the required workloads. While this approach may provide some level of benchmarking, it requires additional configuration and management of tools on each instance.

Therefore, Option A is the most operationally efficient way to meet these requirements.

Reference

Amazon AWS Certified SysOps Administrator – Associate certification exam practice question and answer (Q&A) dump with detail explanation and reference available free, helpful to pass the Amazon AWS Certified SysOps Administrator – Associate exam and earn Amazon AWS Certified SysOps Administrator – Associate certification.

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