The latest AWS Certified Solutions Architect – Associate SAA-C03 certification actual real practice exam question and answer (Q&A) dumps are available free, which are helpful for you to pass the AWS Certified Solutions Architect – Associate SAA-C03 exam and earn AWS Certified Solutions Architect – Associate SAA-C03 certification.
Table of Contents
- Question 1301
- Exam Question
- Correct Answer
- Explanation
- Question 1302
- Exam Question
- Correct Answer
- Explanation
- Question 1303
- Exam Question
- Correct Answer
- Explanation
- Question 1304
- Exam Question
- Correct Answer
- Explanation
- Question 1305
- Exam Question
- Correct Answer
- Explanation
- Question 1306
- Exam Question
- Correct Answer
- Explanation
- Question 1307
- Exam Question
- Correct Answer
- Explanation
- Question 1308
- Exam Question
- Correct Answer
- Explanation
- Question 1309
- Exam Question
- Correct Answer
- Explanation
- Question 1310
- Exam Question
- Correct Answer
- Explanation
Question 1301
Exam Question
A company hosts its multi-tier public web application in the AWS Cloud. The web application runs on Amazon EC2 instances and its database runs on Amazon RDS. The company is anticipating a large increase in sales during an upcoming holiday weekend. A solutions architect needs to build a solution to analyze the performance of the web application with a granularity of no more than 2 minutes.
What should the solutions architect do to meet this requirement?
A. Send Amazon CloudWatch logs to Amazon Redshift. Use Amazon QuickSight to perform further analysis.
B. Enable detailed monitoring on all EC2 instances. Use Amazon CloudWatch metrics to perform further analysis.
C. Create an AWS Lambda function to fetch EC2 logs from Amazon CloudWatch Logs. Use Amazon CloudWatch metrics to perform further analysis.
D. Send EC2 logs to Amazon S3. Use Amazon Redshift to fetch logs from the S3 bucket to process raw data for further analysis with Amazon QuickSight.
Correct Answer
B. Enable detailed monitoring on all EC2 instances. Use Amazon CloudWatch metrics to perform further analysis.
Explanation
To meet the requirement of analyzing the performance of the web application with a granularity of no more than 2 minutes, the solutions architect should choose option B: Enable detailed monitoring on all EC2 instances and use Amazon CloudWatch metrics for further analysis.
Enabling detailed monitoring on EC2 instances allows CloudWatch to collect monitoring data at a 1-minute interval, providing a higher level of granularity. This data includes metrics such as CPU utilization, network traffic, disk I/O, and more. By enabling detailed monitoring, you ensure that the performance data is captured frequently enough to meet the requirement.
Once the detailed monitoring is enabled, you can utilize Amazon CloudWatch metrics to analyze the performance of the web application. CloudWatch provides a set of pre-built metrics that you can use to monitor your instances and applications. These metrics can be visualized, aggregated, and analyzed using CloudWatch dashboards and alarms.
Option A (sending CloudWatch logs to Redshift) and option D (sending EC2 logs to S3 and using Redshift) focus on log data rather than performance metrics. While logs can provide valuable information for troubleshooting and debugging, they might not provide the required granularity for performance analysis at a 2-minute interval.
Option C suggests creating a Lambda function to fetch EC2 logs from CloudWatch Logs. Again, logs might not provide the necessary granularity for performance analysis, and the use of Lambda adds unnecessary complexity to the solution.
Therefore, option B is the most appropriate choice for analyzing the performance of the web application with the desired granularity.
Question 1302
Exam Question
A company has a live chat application running on its on-premises servers that use WebSockets. The company wants to migrate the application to AWS. Application traffic is inconsistent, and the company expects there to be more traffic with sharp spikes in the future. The company wants a highly scalable solution with no server maintenance nor advanced capacity planning.
Which solution meets these requirements?
A. Use Amazon API Gateway and AWS Lambda with an Amazon DynamoDB table as the data store. Configure the DynamoDB table for provisioned capacity.
B. Use Amazon API Gateway and AWS Lambda with an Amazon DynamoDB table as the data store. Configure the DynamoDB table for on-demand capacity.
C. Run Amazon EC2 instances behind an Application Load Balancer in an Auto Scaling group with an Amazon DynamoDB table as the data store. Configure the DynamoDB table for on-demand capacity.
D. Run Amazon EC2 instances behind a Network Load Balancer in an Auto Scaling group with an Amazon DynamoDB table as the data store. Configure the DynamoDB table for provisioned capacity.
Correct Answer
B. Use Amazon API Gateway and AWS Lambda with an Amazon DynamoDB table as the data store. Configure the DynamoDB table for on-demand capacity.
Explanation
The solution that meets the requirements described is:
B. Use Amazon API Gateway and AWS Lambda with an Amazon DynamoDB table as the data store. Configure the DynamoDB table for on-demand capacity.
Explanation:
- Amazon API Gateway is a fully managed service that can handle WebSocket traffic and integrates well with AWS Lambda.
- AWS Lambda is a serverless compute service that automatically scales based on demand, making it ideal for handling inconsistent and spiky traffic.
- Using an Amazon DynamoDB table as the data store provides a highly scalable and fully managed NoSQL database solution.
- Configuring the DynamoDB table for on-demand capacity ensures that it automatically scales to handle the increasing workload without requiring advanced capacity planning or server maintenance.
Option A is incorrect because provisioning capacity for the DynamoDB table would require manual capacity planning and management, which goes against the requirement of no advanced capacity planning or server maintenance.
Options C and D are incorrect because they involve managing Amazon EC2 instances, which would require server maintenance and advanced capacity planning, contrary to the requirement specified by the company.
Question 1303
Exam Question
A solutions architect must migrate a Windows internet information Services (IIS) web application to AWS. The application currently relies on a file share hosted in the user’s on-premises network-attached storage (NAS). The solutions architect has proposed migrating the IIS web servers to Amazon EC2 instances in multiple Availability Zones that are connected to the storage solution, and configuring an Elastic Load Balancer attached to the instances.
Which replacement to the on-premises file share is MOST resilient and durable?
A. Migrate the file Share to Amazon RDS.
B. Migrate the file Share to AWS Storage Gateway
C. Migrate the file Share to Amazon FSx for Windows File Server.
D. Migrate the file share to Amazon Elastic File System (Amazon EFS)
Correct Answer
C. Migrate the file Share to Amazon FSx for Windows File Server.
Explanation
The most resilient and durable replacement for the on-premises file share in this scenario would be option C: Migrate the file share to Amazon FSx for Windows File Server.
Amazon FSx for Windows File Server is a fully managed native Windows file system that is compatible with Windows-based applications, including IIS web servers. It provides high durability and availability by automatically replicating data within and across multiple Availability Zones. This ensures that even if one Availability Zone experiences an outage, the data remains accessible from other Availability Zones.
Option A (Migrating the file share to Amazon RDS) is not suitable in this case because Amazon RDS is a managed relational database service and is not designed for hosting file shares.
Option B (Migrating the file share to AWS Storage Gateway) is primarily used for integrating on-premises environments with AWS storage services, and it may not provide the same level of durability and availability as Amazon FSx for Windows File Server.
Option D (Migrating the file share to Amazon Elastic File System or Amazon EFS) is a highly scalable and fully managed file storage service, but it may not provide the same level of performance and compatibility with Windows-based applications as Amazon FSx for Windows File Server.
Therefore, the best choice for resilience and durability in this scenario is option C: Migrate the file share to Amazon FSx for Windows File Server.
Question 1304
Exam Question
A company that hosts its web application on AWS wants to ensure all Amazon EC2 instances, Amazon RDS DB instances, and Amazon Redshift clusters are configured with tags. The company wants to minimize the effort of configuring and operating this check.
What should a solutions architect do to accomplish this?
A. Use AWS Config rules to define and detect resources that are not properly tagged.
B. Use Cost Explorer to display resources that are not properly tagged. Tag those resources manually.
C. Write API calls to check all resources for proper tag allocation. Periodically run the code on an EC2 instance.
D. Write API calls to check all resources for proper tag allocation. Schedule an AWS Lambda function through Amazon CloudWatch to periodically run the code.
Correct Answer
A. Use AWS Config rules to define and detect resources that are not properly tagged.
Explanation
To ensure all Amazon EC2 instances, Amazon RDS DB instances, and Amazon Redshift clusters are configured with tags, a solutions architect should choose option A: Use AWS Config rules to define and detect resources that are not properly tagged.
AWS Config provides a rule-based approach to evaluate the configuration of AWS resources. By creating a custom AWS Config rule, you can define the desired tagging requirements for EC2 instances, RDS DB instances, and Redshift clusters. The rule can be set to check for proper tag allocation and identify resources that are not compliant.
Using AWS Config rules offers the following advantages:
- Automation: AWS Config rules automatically evaluate resources and identify any that do not meet the defined tagging requirements. This minimizes the effort required to manually check each resource.
- Continuous Monitoring: AWS Config rules provide continuous monitoring, ensuring that any changes to resource configurations are immediately evaluated against the tagging requirements.
- Centralized Management: AWS Config rules allow for centralized management and configuration of tagging requirements. You can define the rule once and apply it to multiple resources, ensuring consistency across the environment.
- Integration with Notifications: AWS Config rules can be configured to trigger notifications, such as Amazon Simple Notification Service (SNS) notifications or AWS Lambda functions, when non-compliant resources are detected. This enables timely remediation of any tagging issues.
Therefore, using AWS Config rules is the recommended approach to achieve the desired outcome with minimal effort and efficient operation.
Question 1305
Exam Question
A company’s website hosted on Amazon EC2 instances processes classified data stored in Amazon S3. Due to security concerns, the company requires a private and secure connection between its EC2 resources and Amazon S3.
Which solution meets these requirements?
A. Set up S3 bucket policies to allow access from a VPC endpoint.
B. Set up an IAM policy to grant read-write access to the S3 bucket.
C. Set up a NAT gateway to access resources outside the private subnet.
D. Set up an access key ID and a secret access key to access the S3 bucket.
Correct Answer
A. Set up S3 bucket policies to allow access from a VPC endpoint.
Explanation
The correct solution to meet the requirements of a private and secure connection between EC2 instances and Amazon S3 is:
A. Set up S3 bucket policies to allow access from a VPC endpoint.
VPC (Virtual Private Cloud) endpoints enable you to privately connect your VPC to supported AWS services, such as Amazon S3, without requiring an internet gateway, NAT instance, or VPN connection. By creating a VPC endpoint for Amazon S3, you can route traffic between your EC2 instances and S3 over the AWS network, providing a more secure and efficient connection. With a VPC endpoint, the traffic remains within the AWS network and does not traverse the public internet.
Setting up S3 bucket policies to allow access from a VPC endpoint ensures that the connection between the EC2 instances and S3 remains private and secure, as it does not rely on internet-based connections or access keys. It allows the EC2 instances within the specified VPC to directly access the S3 bucket without the need for public internet access or exposing access keys, thereby reducing the attack surface and enhancing security.
Option B (Set up an IAM policy to grant read-write access to the S3 bucket) is not the best choice in this case because IAM policies are used for managing access and permissions for AWS resources, but they do not provide a private and secure connection between EC2 instances and S3.
Option C (Set up a NAT gateway to access resources outside the private subnet) is not directly related to establishing a private and secure connection between EC2 instances and S3. NAT gateways are typically used for providing internet access to resources in private subnets, but they do not address the specific requirement of securely connecting to S3.
Option D (Set up an access key ID and a secret access key to access the S3 bucket) is not recommended in this scenario as it involves using access keys, which can pose security risks if not properly managed. Access keys are generally used for programmatic access to AWS resources and are not directly related to establishing a private and secure connection between EC2 instances and S3.
Therefore, option A is the most suitable solution to meet the requirements of a private and secure connection between EC2 instances and Amazon S3.
Question 1306
Exam Question
A company needs to comply with a regulatory requirement that states all emails must be stored and archived externally for 7 years. An administrator has created compressed email files on premises and wants a managed service to transfer the files to AWS storage.
Which managed service should a solutions architect recommend?
A. Amazon Elastic File System (Amazon EFS)
B. Amazon S3 Glacier
C. AWS Backup
D. AWS Storage Gateway
Correct Answer
B. Amazon S3 Glacier
Explanation
Based on the given scenario, the most appropriate managed service to recommend for transferring compressed email files to AWS storage and ensuring compliance with the regulatory requirement is B. Amazon S3 Glacier.
Amazon S3 Glacier is designed for long-term data archiving and storage, making it a suitable choice for storing and managing email archives for the required 7-year period. It offers durable and secure storage at a low cost, making it an ideal solution for compliance purposes.
Additionally, Amazon S3 Glacier provides features such as data encryption, access controls, and compliance capabilities that align with regulatory requirements. It also offers lifecycle policies to automate the transition of data from one storage class to another, which can help optimize costs.
While options such as Amazon Elastic File System (Amazon EFS), AWS Backup, and AWS Storage Gateway have their own use cases, they may not be the best fit for long-term archival storage and compliance needs in this particular scenario.
Question 1307
Exam Question
A company has two applications: a sender application that sends messages with payloads to be processed and a processing application intended to receive messages with payloads. The company wants to implement an AWS service to handle messages between the two applications. The sender application can send about 1,000 messages each hour. The messages may take up to 2 days to be processed. If the messages fail to process, they must be retained so that they do not impact the processing of any remaining messages.
Which solution meets these requirements and is the MOST operationally efficient?
A. Set up an Amazon EC2 instance running a Redis database. Configure both applications to use the instance. Store, process, and delete the messages, respectively.
B. Use an Amazon Kinesis data stream to receive the messages from the sender application. Integrate the processing application with the Kinesis Client Library (KCL).
C. Integrate the sender and processor applications with an Amazon Simple Queue Service (Amazon SQS) queue. Configure a dead-letter queue to collect the messages that failed to process.
D. Subscribe the processing application to an Amazon Simple Notification Service (Amazon SNS) topic to receive notifications to process. Integrate the sender application to write to the SNS topic.
Correct Answer
C. Integrate the sender and processor applications with an Amazon Simple Queue Service (Amazon SQS) queue. Configure a dead-letter queue to collect the messages that failed to process.
Explanation
The solution that best meets the requirements and is the most operationally efficient in this scenario is option C: Integrate the sender and processor applications with an Amazon Simple Queue Service (Amazon SQS) queue and configure a dead-letter queue to collect the messages that failed to process.
Amazon SQS is a fully managed message queuing service that decouples the sender and processor applications, allowing for asynchronous message processing. Here’s how it aligns with the given requirements:
- Scalability: Amazon SQS automatically scales to accommodate the message load, making it suitable for handling up to 1,000 messages per hour.
- Durability: Messages sent to an SQS queue are stored redundantly across multiple availability zones, ensuring high durability. This means that even if the processing application fails or is temporarily unavailable, the messages will be retained and not lost.
- Retention: SQS queues retain messages until they are successfully processed or explicitly deleted. If a message fails to process within a certain time frame, it can be sent to a dead-letter queue for further analysis without impacting the processing of remaining messages. This allows for better fault tolerance and error handling.
- Decoupling: SQS decouples the sender and processor applications, providing loose coupling and enabling them to scale independently. This means that even if the processing application experiences issues or downtime, the sender application can continue sending messages to the queue without disruptions.
Option A (using an EC2 instance with Redis) would require manual management and potential scaling challenges. It may also introduce single points of failure and higher operational overhead compared to a managed service like SQS.
Option B (using Kinesis data stream) is primarily designed for real-time streaming data scenarios and does not provide the same level of durability and retention guarantees as SQS. It may not be the most suitable choice for the given requirements.
Option D (using SNS) is a publish-subscribe messaging service and is not ideal for ensuring that messages are retained until successfully processed. It does not have built-in message durability and retention features like SQS.
Therefore, option C (Amazon SQS with a dead-letter queue) is the most operationally efficient solution that meets the requirements of message retention, fault tolerance, scalability, and decoupling of the applications.
Question 1308
Exam Question
A company has an on-premises MySQL database used by the global sales team with infrequent access patterns. The sales team requires the database to have minimal downtime. A database administrator wants to migrate this database to AWS without selecting a particular instance type in anticipation of more users in the future.
Which service should a solutions architect recommend?
A. Amazon Aurora MySQL
B. Amazon Aurora Serverless for MySQL
C. Amazon Redshift Spectrum
D. Amazon RDS for MySQL
Correct Answer
D. Amazon RDS for MySQL
Explanation
In this scenario, considering the requirement of minimal downtime and the anticipation of more users in the future, the most suitable service to recommend would be D. Amazon RDS for MySQL.
Amazon RDS (Relational Database Service) for MySQL is a fully managed database service provided by AWS. It allows you to set up, operate, and scale a MySQL database in the cloud without worrying about the underlying infrastructure. Amazon RDS provides high availability and automatic backups, which helps minimize downtime.
By choosing Amazon RDS for MySQL, you can benefit from the following features:
- Easy migration: Amazon RDS supports easy migration of your on-premises MySQL database to the AWS cloud. You can use the AWS Database Migration Service (DMS) to perform a seamless migration with minimal downtime.
- Flexible scaling: Amazon RDS allows you to scale your database up or down based on the changing demands of your sales team. You can increase the compute and storage capacity as needed to accommodate more users in the future.
- High availability: Amazon RDS provides built-in high availability through Multi-AZ (Availability Zone) deployments. It automatically replicates your database to a standby instance in a different Availability Zone, ensuring that your database remains highly available even in the event of a failure.
- Automated backups: Amazon RDS automatically takes regular backups of your database, providing point-in-time recovery options. This ensures that you can restore your database to a specific point in time, minimizing the risk of data loss.
While options A, B, and C are all valid AWS database services, they may not be the best fit for the given requirements.
- A. Amazon Aurora MySQL: While Amazon Aurora provides high performance and scalability, it may be overkill for a database with infrequent access patterns. It is generally recommended for applications with higher performance requirements or larger workloads.
- B. Amazon Aurora Serverless for MySQL: Aurora Serverless is a good option for applications with unpredictable workloads, as it automatically scales capacity based on demand. However, since the question mentions an anticipation of more users in the future, it would be beneficial to have more control over the instance type and capacity.
- C. Amazon Redshift Spectrum: Redshift Spectrum is a service for running SQL queries directly on data stored in Amazon S3. It is primarily used for analyzing large amounts of data and is not a direct replacement for an on-premises MySQL database.
Therefore, in this scenario, Amazon RDS for MySQL is the most appropriate choice.
Question 1309
Exam Question
A company has an application that is hosted on Amazon EC2 instances in two private subnets. A solutions architect must make the application available on the public internet with the least amount of administrative effort.
What should the solutions architect recommend?
A. Create a load balancer and associate two public subnets from the same Availability Zones as the private instances. Add the private instances to the load balancer.
B. Create a load balancer and associate two private subnets from the same Availability Zones as the private instances. Add the private instances to the load balancer.
C. Create an Amazon Machine Image (AMI) of the instances in the private subnet and restore in the public subnet. Create a load balancer and associate two public subnets from the same Availability Zones as the public instances.
D. Create an Amazon Machine Image (AMI) of the instances in the private subnet and restore in the public subnet. Create a load balancer and associate two private subnets from the same Availability Zones as the public instances.
Correct Answer
A. Create a load balancer and associate two public subnets from the same Availability Zones as the private instances. Add the private instances to the load balancer.
Explanation
The correct answer would be:
A. Create a load balancer and associate two public subnets from the same Availability Zones as the private instances. Add the private instances to the load balancer.
To make the application available on the public internet with the least amount of administrative effort, a load balancer should be used. The load balancer acts as a single point of contact for clients and distributes incoming traffic across multiple instances.
In this scenario, the application is currently hosted on Amazon EC2 instances in two private subnets. Private subnets do not have direct access to the internet. Therefore, to make the application available on the public internet, the load balancer should be associated with public subnets.
Option A recommends creating a load balancer and associating two public subnets from the same Availability Zones as the private instances. By adding the private instances to the load balancer, traffic can be routed through the load balancer to the instances in the private subnets. The load balancer handles the communication with the public internet and provides a public endpoint for the application.
Options B, C, and D involve creating a load balancer and associating private subnets. However, since the private subnets do not have direct internet access, these options would not make the application available on the public internet.
Therefore, option A is the correct recommendation to make the application available on the public internet with the least administrative effort.
Question 1310
Exam Question
A company is designing a website that uses an Amazon S3 bucket to store static images. The company wants all future requests to have faster response times while reducing both latency and cost.
Which service configuration should a solutions architect recommend?
A. Deploy a NAT server in front of Amazon S3.
B. Deploy Amazon CloudFront in front of Amazon S3.
C. Deploy a Network Load Balancer in front of Amazon S3.
D. Configure Auto Scaling to automatically adjust the capacity of the website.
Correct Answer
B. Deploy Amazon CloudFront in front of Amazon S3.
Explanation
To achieve faster response times, reduced latency, and cost optimization for static image storage using Amazon S3, the recommended service configuration would be to deploy Amazon CloudFront in front of Amazon S3. Therefore, the solution architect should recommend option B.
Amazon CloudFront is a content delivery network (CDN) service provided by Amazon Web Services (AWS). By deploying CloudFront in front of the S3 bucket, the static images can be cached and distributed to edge locations around the world. This allows users to access the images from the nearest edge location, resulting in lower latency and faster response times.
CloudFront also helps to reduce the load on the S3 bucket by serving the cached content directly from the edge locations, minimizing the number of requests that need to be handled by the S3 bucket itself. This can help optimize costs by reducing data transfer and request fees associated with S3.
Therefore, by leveraging Amazon CloudFront’s caching and content delivery capabilities, the company can significantly improve the performance and cost efficiency of the website’s static image delivery.