AWS Certified Solutions Architect – Associate SAA-C03 Exam Questions and Answers – Page 56

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.

Question 1271

Exam Question

A company hosts more than 300 global websites and applications. The company requires a platform to analyze more than 30 TB of clickstream data each day.

What should a solutions architect do to transmit and process the clickstream data?

A. Design an AWS Data Pipeline to archive the data to an Amazon S3 bucket and run an Amazon EMR cluster with the data to generate analytics.
B. Create an Auto Scaling group of Amazon EC2 instances to process the data and send it to an Amazon S3 data lake for Amazon Redshift to use for analysis.
C. Cache the data to Amazon CloudFront. Store the data in an Amazon S3 bucket. When an object is added to the S3 bucket, run an AWS Lambda function to process the data for analysis.
D. Collect the data from Amazon Kinesis Data Streams. Use Amazon Kinesis Data firehose to transmit the data to an Amazon S3 data lake. Load the data in Amazon Redshift for analysis.

Correct Answer

D. Collect the data from Amazon Kinesis Data Streams. Use Amazon Kinesis Data firehose to transmit the data to an Amazon S3 data lake. Load the data in Amazon Redshift for analysis.

Explanation

To transmit and process the clickstream data for a company hosting more than 300 global websites and applications, the most suitable solution is:

D. Collect the data from Amazon Kinesis Data Streams. Use Amazon Kinesis Data Firehose to transmit the data to an Amazon S3 data lake. Load the data in Amazon Redshift for analysis.

Here’s why option D is the correct choice:

1. Collect the data from Amazon Kinesis Data Streams: Amazon Kinesis Data Streams is a fully managed service for real-time streaming data ingestion. It can handle large volumes of data and allows for the collection and processing of clickstream data in real-time.
2. Use Amazon Kinesis Data Firehose to transmit the data to an Amazon S3 data lake: Amazon Kinesis Data Firehose simplifies the process of loading streaming data into storage services such as Amazon S3. It can buffer, compress, and transform the data before delivering it to the designated destination.
3. Load the data in Amazon Redshift for analysis: Amazon Redshift is a fully managed data warehousing service that is optimized for analytics workloads. It can efficiently store and process large amounts of structured data. By loading the clickstream data from the S3 data lake into Redshift, it becomes available for analysis using SQL queries and various business intelligence tools.

By following this approach, the clickstream data can be transmitted and processed effectively:

• The clickstream data is collected from the websites and applications using Amazon Kinesis Data Streams, ensuring real-time ingestion and scalability.
• Amazon Kinesis Data Firehose is configured to receive the data from Kinesis Data Streams and deliver it to an Amazon S3 data lake. It handles data transformation, buffering, and delivery to S3, ensuring durability and reliability.
• The data in the S3 data lake can be periodically loaded into Amazon Redshift, where it can be analyzed using SQL queries and other analytics tools. Redshift’s columnar storage and distributed query processing capabilities make it suitable for efficient analysis of large datasets.

Option D provides a robust and scalable solution for transmitting and processing clickstream data. It leverages the capabilities of Amazon Kinesis Data Streams, Amazon Kinesis Data Firehose, Amazon S3, and Amazon Redshift to handle the high volume of data and enable efficient analysis of the clickstream data for the company’s websites and applications.

Question 1272

Exam Question

A business application is hosted on Amazon EC2 and uses Amazon S3 for encrypted object storage. The chief information security officer has directed that no application traffic between the two services should traverse the public internet.

Which capability should the solutions architect use to meet the compliance requirements?

A. AWS Key Management Service (AWS KMS)
B. VPC endpoint
C. Private subnet
D. Virtual private gateway

Correct Answer

B. VPC endpoint

Explanation

To ensure that no application traffic between Amazon EC2 and Amazon S3 traverses the public internet, the solutions architect should use:

B. VPC endpoint.

Here’s why option B is the correct choice:

1. VPC endpoint: A VPC endpoint enables private connectivity between a VPC and supported AWS services without requiring the traffic to traverse the internet. In this case, the solutions architect can create a VPC endpoint for Amazon S3 within the VPC where the EC2 instance hosting the business application resides. This allows the application to securely access S3 without using public internet connectivity.
2. AWS KMS: AWS Key Management Service (AWS KMS) is a managed service for creating and controlling the encryption keys used to encrypt data at rest. While AWS KMS is important for managing encryption keys, it does not directly address the requirement of preventing application traffic between EC2 and S3 from traversing the public internet.
3. Private subnet: A private subnet is a subnet within a VPC that does not have a route to an internet gateway, preventing outbound traffic from reaching the internet. However, using a private subnet alone does not provide direct connectivity to Amazon S3 without going through the public internet.
4. Virtual private gateway: A virtual private gateway is a VPN endpoint located in the VPC and used to establish secure communication between a VPC and an on-premises network. It is not directly related to routing traffic between EC2 and S3 within the AWS environment.

By using a VPC endpoint for Amazon S3, the application traffic between EC2 and S3 remains within the private network, ensuring that it does not traverse the public internet. This enhances the security and compliance posture of the environment, aligning with the directive from the chief information security officer.

Note that the VPC endpoint for S3 is specific to the region and does not involve public IP addresses or internet gateways, enabling private and secure communication between EC2 and S3 within the VPC.

Question 1273

Exam Question

A company is creating a web application that will store a large number of images in Amazon S3. The images will be accessed by users over variable periods of time. The company wants to:

• Retain all the images Incur no cost for retrieval.
• Have minimal management overhead.
• Have the images available with no impact on retrieval time.

Which solution meets these requirements?

A. Implement S3 Intelligent-Tiering
B. Implement S3 storage class analysis
C. Implement an S3 Lifecycle policy to move data to S3 Standard-Infrequent Access (S3 Standard-IA).
D. Implement an S3 Lifecycle policy to move data to S3 One Zone-Infrequent Access (S3 One Zone-IA)

Correct Answer

A. Implement S3 Intelligent-Tiering

Explanation

The solution that meets all the specified requirements is:

A. Implement S3 Intelligent-Tiering.

Here’s why option A is the correct choice:

1. S3 Intelligent-Tiering: S3 Intelligent-Tiering is an S3 storage class that automatically optimizes storage costs and performance for data with unknown or changing access patterns. With this storage class, objects are automatically moved between two access tiers: frequent access and infrequent access, based on their access patterns.
2. Retain all the images: S3 Intelligent-Tiering retains all the images uploaded to the bucket, ensuring that no data is deleted or lost.
3. Incur no cost for retrieval: S3 Intelligent-Tiering offers no additional cost for data retrieval compared to the standard storage cost. This means there are no retrieval fees when accessing the images, making it cost-effective for applications with unpredictable access patterns.
4. Minimal management overhead: With S3 Intelligent-Tiering, there is minimal management overhead as the tiering decisions are automated by Amazon S3. It monitors access patterns and automatically moves objects between tiers without requiring manual intervention.
5. Minimal impact on retrieval time: S3 Intelligent-Tiering ensures that the images are readily available for retrieval without any significant impact on retrieval time. The frequent access tier provides low-latency access, while the infrequent access tier maintains reasonable retrieval performance for less frequently accessed objects.

By implementing S3 Intelligent-Tiering, the company can store a large number of images in Amazon S3, retain all the images, incur no additional cost for retrieval, have minimal management overhead, and ensure the images are available with no significant impact on retrieval time.

Question 1274

Exam Question

A solutions architect is designing a solution that requires frequent updates to a website that is hosted on Amazon S3 with versioning enabled. For compliance reasons, the older versions of the objects will not be accessed frequently and will need to be deleted after 2 years.

What should the solutions architect recommend to meet these requirements at the LOWEST cost?

A. Use S3 batch operations to replace object tags. Expire the objects based on the modified tags.
B. Configure an S3 Lifecycle policy to transition older versions of objects to S3 Glacier. Expire the objects after 2 years.
C. Enable S3 Event Notifications on the bucket that sends older objects to the Amazon Simple Queue Service (Amazon SQS) queue for further processing.
D. Replicate older object versions to a new bucket. Use an S3 Lifecycle policy to expire the objects in the new bucket after 2 years.

Correct Answer

B. Configure an S3 Lifecycle policy to transition older versions of objects to S3 Glacier. Expire the objects after 2 years.

Explanation

To meet the requirements of frequent updates, versioning, and deleting older versions after 2 years, while minimizing costs, the solutions architect should recommend the following approach:

B. Configure an S3 Lifecycle policy to transition older versions of objects to S3 Glacier. Expire the objects after 2 years.

Here’s why option B is the correct choice:

1. S3 Lifecycle policy: By configuring an S3 Lifecycle policy, you can define the lifecycle management of objects in an S3 bucket. In this case, you can specify rules for transitioning older versions of objects to a different storage class, such as S3 Glacier.
2. Transition to S3 Glacier: S3 Glacier is a cost-effective storage class designed for long-term archival of data. By transitioning the older versions of objects to S3 Glacier, you can significantly reduce the storage costs compared to standard S3 storage.
3. Expire the objects after 2 years: With the S3 Lifecycle policy, you can set an expiration rule to automatically delete the objects after a specified period. In this case, you would set the expiration to 2 years, aligning with the compliance requirement.
4. Cost optimization: Transitioning the older versions to S3 Glacier reduces the storage costs associated with long-term retention. Glacier storage is priced lower than standard S3 storage, making it a cost-effective option for infrequently accessed objects.

By leveraging an S3 Lifecycle policy to transition older versions to S3 Glacier and setting an expiration rule of 2 years, the solution meets the compliance requirement while minimizing storage costs.

Question 1275

Exam Question

A company receives 10 TB of instrumentation data each day from several machines located at a single factory. The data consists of JSON files stored on a storage area network (SAN) in an on-premises data center located within the factory. The company wants to send this data to Amazon S3 where it can be accessed by several additional systems that provide critical near-real-lime analytics. A secure transfer is important because the data is considered sensitive.

Which solution offers the MOST reliable data transfer?

A. AWS DataSync over public internet
B. AWS DataSync over AWS Direct Connect
C. AWS Database Migration Service (AWS DMS) over public internet
D. AWS Database Migration Service (AWS DMS) over AWS Direct Connect

Correct Answer

B. AWS DataSync over AWS Direct Connect

Explanation

To ensure the most reliable data transfer for sensitive instrumentation data from an on-premises data center to Amazon S3, the solutions architect should recommend:

B. AWS DataSync over AWS Direct Connect.

Here’s why option B is the correct choice:

1. AWS DataSync: AWS DataSync is a service designed for fast, secure, and reliable data transfer between on-premises storage and AWS services. It utilizes a highly optimized network protocol to efficiently transfer data.
2. AWS Direct Connect: AWS Direct Connect provides a dedicated network connection between an on-premises environment and AWS. It offers a private, dedicated, and secure connection that bypasses the public internet, ensuring high reliability and consistent network performance.

By combining AWS DataSync and AWS Direct Connect, the data transfer process benefits from both the reliability of AWS DataSync’s optimized transfer protocol and the secure, dedicated connection provided by AWS Direct Connect. This ensures a highly reliable and secure transfer of the sensitive instrumentation data from the on-premises SAN to Amazon S3.

Question 1276

Exam Question

A company has an application that ingests incoming messages. These messages are then quickly consumed by dozens of other applications and microservices. The number of messages varies drastically and sometimes spikes as high as 100,000 each second. The company wants to decouple the solution and increase scalability.

Which solution meets these requirements?

A. Persist the messages to Amazon Kinesis Data Analytics. All the applications will read and process the messages.
B. Deploy the application on Amazon EC2 instances in an Auto Scaling group, which scales the number of EC2 instances based on CPU metrics.
C. Write the messages to Amazon Kinesis Data Streams with a single shard. All applications will read from the stream and process the messages.
D. Publish the messages to an Amazon Simple Notification Service (Amazon SNS) topic with one or more Amazon Simple Queue Service (Amazon SQS) subscriptions. All applications then process the messages from the queues.

Correct Answer

D. Publish the messages to an Amazon Simple Notification Service (Amazon SNS) topic with one or more Amazon Simple Queue Service (Amazon SQS) subscriptions. All applications then process the messages from the queues.

Explanation

To decouple the solution and increase scalability for handling incoming messages with varying and potentially high volume, the recommended solution is:

D. Publish the messages to an Amazon Simple Notification Service (Amazon SNS) topic with one or more Amazon Simple Queue Service (Amazon SQS) subscriptions. All applications then process the messages from the queues.

Here’s why option D is the correct choice:

1. Amazon SNS: Amazon SNS is a fully managed pub/sub messaging service that enables message publishing and subscription to topics. It provides fast and flexible communication between publishers and subscribers.
2. Amazon SQS: Amazon SQS is a fully managed message queuing service that decouples the components of a distributed application. It offers reliable and scalable queues for storing messages and enables applications to process them asynchronously.

By publishing the messages to an Amazon SNS topic and using Amazon SQS subscriptions, the solution achieves decoupling and scalability. Multiple applications and microservices can subscribe to the topic and receive messages through their individual SQS queues. This allows for parallel processing and enables the system to handle varying message volumes, including spikes of up to 100,000 messages per second.

Using Amazon SNS and Amazon SQS together provides the necessary decoupling and scalability while ensuring reliable message delivery and efficient processing across multiple applications.

Question 1277

Exam Question

A solutions architect is designing an architecture to run a third-party database server. The database software is memory intensive and has a CPU-based licensing model where the cost increases with the number of vCPU cores within the operating system. The solutions architect must select an Amazon EC2 instance with sufficient memory to run the database software, but the selected instance has a large number of vCPUs. The solutions architect must ensure that the vCPUs will not be underutilized and must minimize costs.

Which solution meets these requirements?

A. Select and launch a smaller EC2 instance with an appropriate number of vCPUs.
B. Configure the CPU cores and threads on the selected EC2 instance during instance launch.
C. Create a new EC2 instance and ensure multithreading is enabled when configuring the instance details.
D. Create a new Capacity Reservation and select the appropriate instance type. Launch the instance into this new Capacity Reservation.

Correct Answer

B. Configure the CPU cores and threads on the selected EC2 instance during instance launch.

Explanation

To ensure that the vCPUs are not underutilized and minimize costs for running a memory-intensive database software with a CPU-based licensing model, the recommended solution is:

B. Configure the CPU cores and threads on the selected EC2 instance during instance launch.

Here’s why option B is the correct choice:

1. CPU Configuration: During the instance launch, you have the option to configure the number of CPU cores and threads for the selected EC2 instance. This configuration allows you to customize the virtual CPU resources allocated to the instance based on your specific requirements.
2. Underutilization and Cost: By selecting an instance with a large number of vCPUs and appropriately configuring the CPU cores and threads, you can ensure that the vCPUs are not underutilized. Adjusting the CPU configuration allows you to allocate the desired amount of CPU resources to match the workload needs, minimizing any potential waste and optimizing cost-efficiency.

By configuring the CPU cores and threads on the selected EC2 instance, you have the flexibility to match the instance’s CPU resources to the requirements of the memory-intensive database software. This approach enables you to effectively utilize the vCPUs while minimizing costs associated with the CPU-based licensing model.

Question 1278

Exam Question

A company has an ecommerce application that stores data in an on-premises SQL database. The company has decided to migrate this database to AWS. However, as part of the migration, the company wants to find a way to attain sub-millisecond responses to common read requests. A solutions architect knows that the increase in speed is paramount and that a small percentage of stale data returned in the database reads is acceptable.

What should the solutions architect recommend?

A. Build Amazon RDS read replicas.
B. Build the database as a larger instance type.
C. Build a database cache using Amazon ElastiCache.
D. Build a database cache using Amazon Elasticsearch Service (Amazon ES).

Correct Answer

C. Build a database cache using Amazon ElastiCache.

Explanation

To achieve sub-millisecond responses for common read requests while accepting a small percentage of stale data, the recommended solution is:

C. Build a database cache using Amazon ElastiCache.

Here’s why option C is the correct choice:

1. Amazon ElastiCache: Amazon ElastiCache is a fully managed in-memory data store service that supports popular caching engines such as Redis and Memcached. It provides a high-performance caching layer to improve the response time of read requests by storing frequently accessed data in-memory.
2. Sub-millisecond Responses: By deploying Amazon ElastiCache, you can significantly reduce the read latency by retrieving data directly from the cache rather than querying the on-premises SQL database. With its in-memory architecture, ElastiCache delivers fast and consistent performance, enabling sub-millisecond responses for common read requests.
3. Stale Data: ElastiCache allows you to configure the cache’s expiration and eviction policies, giving you control over the freshness of the data. While a small percentage of stale data is acceptable, you can fine-tune the cache settings to balance performance and data consistency based on your specific requirements.

Using Amazon ElastiCache as a caching layer can provide a significant performance boost to the application by minimizing the need to access the on-premises SQL database for read requests. This solution effectively addresses the requirement for sub-millisecond responses while accepting a small amount of stale data.

Question 1279

Exam Question

A company has an ecommerce application running in a single VPC. The application stack has a single web server and an Amazon RDS Multi-AZ DB instance. The company launches new products twice a month. This increases website traffic by approximately 400% for a minimum of 72 hours. During product launches, users experience slow response times and frequent timeout errors in their browsers.

What should a solutions architect do to mitigate the slow response times and timeout errors while minimizing operational overhead?

A. Increase the instance size of the web server.
B. Add an Application Load Balancer and an additional web server.
C. Add Amazon EC2 Auto Scaling and an Application Load Balancer.
D. Deploy an Amazon ElastiCache cluster to store frequently accessed data.

Correct Answer

C. Add Amazon EC2 Auto Scaling and an Application Load Balancer.

Explanation

To mitigate the slow response times and timeout errors during high traffic periods while minimizing operational overhead, the recommended solution is:

C. Add Amazon EC2 Auto Scaling and an Application Load Balancer.

Here’s why option C is the correct choice:

1. Amazon EC2 Auto Scaling: By implementing EC2 Auto Scaling, the number of web server instances can automatically scale up or down based on the demand. During product launches and high traffic periods, EC2 Auto Scaling can dynamically add additional web server instances to handle the increased load, ensuring that the application can scale horizontally to meet the demand.
2. Application Load Balancer: Adding an Application Load Balancer (ALB) distributes incoming traffic across multiple web server instances. It improves the availability and fault tolerance of the application. The ALB intelligently routes traffic to the healthy instances, ensuring that the load is evenly distributed and no single instance becomes overwhelmed with requests.

By combining EC2 Auto Scaling and an Application Load Balancer, the architecture can automatically scale up the number of web server instances to handle increased traffic during product launches. This approach improves response times, reduces the chances of timeout errors, and maintains a high level of availability. Additionally, this solution minimizes operational overhead by automating the scaling process, allowing the infrastructure to adapt to varying traffic patterns without manual intervention.

Increasing the instance size of the web server (option A) or adding a single additional web server (option B) may provide some improvements, but they may not be sufficient to handle the surge in traffic during product launches. Deploying an Amazon ElastiCache cluster (option D) is focused on caching frequently accessed data and may not directly address the issues related to slow response times and timeout errors caused by high traffic.

Question 1280

Exam Question

A company is developing an ecommerce application that will consist of a load-balanced front end, a container-based application, and a relational database. A solutions architect needs to create a highly available solution that operates with as little manual intervention as possible.

Which solutions meet these requirements? (Choose two.)

A. Create an Amazon RDS DB instance in Multi-AZ mode.
B. Create an Amazon RDS DB instance and one or more replicas in another Availability Zone.
C. Create an Amazon EC2 instance-based Docker cluster to handle the dynamic application load.
D. Create an Amazon Elastic Container Service (Amazon ECS) cluster with a Fargate launch type to handle the dynamic application load.
E. Create an Amazon Elastic Container Service (Amazon ECS) cluster with an Amazon EC2 launch type to handle the dynamic application load.

Correct Answer

A. Create an Amazon RDS DB instance in Multi-AZ mode.
D. Create an Amazon Elastic Container Service (Amazon ECS) cluster with a Fargate launch type to handle the dynamic application load.

Explanation

The solutions that meet the requirements of creating a highly available solution with as little manual intervention as possible are:

A. Create an Amazon RDS DB instance in Multi-AZ mode.
D. Create an Amazon Elastic Container Service (Amazon ECS) cluster with a Fargate launch type to handle the dynamic application load.

Here’s why these options are the correct choices:

A. Create an Amazon RDS DB instance in Multi-AZ mode: By selecting Multi-AZ mode for the Amazon RDS DB instance, AWS automatically provisions and maintains a synchronous standby replica in a different Availability Zone. This ensures high availability and automatic failover in the event of a primary database failure. It requires no manual intervention to handle failover, providing a resilient and reliable database solution.

D. Create an Amazon Elastic Container Service (Amazon ECS) cluster with a Fargate launch type: Amazon ECS with Fargate launch type eliminates the need to manage and provision EC2 instances to run containers. Fargate automatically scales the infrastructure based on the application load, ensuring that the containers have the necessary resources to operate efficiently. This allows for a highly available and scalable application without the need for manual intervention to manage underlying infrastructure.

While options B, C, and E involve container-based solutions, they don’t directly address the requirement of minimizing manual intervention and ensuring high availability:

B. Creating an Amazon RDS DB instance with replicas in another Availability Zone provides read scalability and failover capability but doesn’t eliminate the need for manual intervention during failover.

C. Creating an Amazon EC2 instance-based Docker cluster requires manual management of the EC2 instances, including scaling, patching, and maintaining high availability.

E. Creating an Amazon ECS cluster with an Amazon EC2 launch type also requires manual management of EC2 instances, similar to option C.

Therefore, options A and D are the most suitable choices for achieving high availability and minimizing manual intervention in the given scenario.