Amazon Amazon Certifications SAA-C03 Questions & Answers

• Question 361:

  A company wants to use Amazon Elastic Container Service (Amazon ECS) clusters and Amazon RDS DB instances to build and run a payment processing application. The company will run the application in its on-premises data center for compliance purposes.

  A solutions architect wants to use AWS Outposts as part of the solution. The solutions architect is working with the company's operational team to build the application.

  Which activities are the responsibility of the company's operational team? (Select THREE.)

  A. Providing resilient power and network connectivity to the Outposts racks

  B. Managing the virtualization hypervisor, storage systems, and the AWS services that run on Outposts

  C. Physical security and access controls of the data center environment

  D. Availability of the Outposts infrastructure including the power supplies, servers, and network-ing equipment within the Outposts racks

  E. Physical maintenance of Outposts components

  F. Providing extra capacity for Amazon ECS clusters to mitigate server failures and maintenance events

  Correct Answer: ACF

  These answers are correct because they reflect the customer's responsibilities for using AWS Outposts as part of the solution. According to the AWS shared responsibility model, the customer is responsible for providing resilient power and

  network connectivity to the Outposts racks, ensuring physical security and access controls of the data center environment, and providing extra capacity for Amazon ECS clusters to mitigate server failures and maintenance events. AWS is

  responsible for managing the virtualization hypervisor, storage systems, and the AWS services that run on Outposts, as well as the availability of the Outposts infrastructure including the power supplies, servers, and networking equipment

  within the Outposts racks, and the physical maintenance of Outposts components.

  References:

  https://docs.aws.amazon.com/outposts/latest/userguide/what-is-outposts.html https://www.contino.io/insights/the-sandwich-responsibility-model-aws-outposts/

• Question 362:

  A company migrated a MySQL database from the company's on-premises data center to an Amazon RDS for MySQL DB instance. The company sized the RDS DB instance to meet the company's average daily workload. Once a month, the database performs slowly when the company runs queries for a report. The company wants to have the ability to run reports and maintain the performance of the daily workloads.

  Which solution will meet these requirements?

  A. Create a read replica of the database. Direct the queries to the read replica.

  B. Create a backup of the database. Restore the backup to another DB instance. Direct the queries to the new database.

  C. Export the data to Amazon S3. Use Amazon Athena to query the S3 bucket.

  D. Resize the DB instance to accommodate the additional workload.

  Correct Answer: A

  Clearly the right choice, with a read replica all the queries needed for a report are done in the replica, leaving the primary on best perfomance for write

• Question 363:

  A company is subscribed to the AWS Business Support plan. Compliance rules require the company to check on AWS infrastructure health before deployments can proceed. The company needs a programmatic and automated way to check on infrastructure health at the beginning of new deployments.

  Which solution will meet these requirements?

  A. Use the AWS Trusted Advisor API at the start of each deployment. Pause all new deployments if the API returns any issues.

  B. Use the AWS Health API at the start of each deployment. Pause all new deployments if the API returns any issues.

  C. Query the AWS Support API at the start of each deployment. Pause all new deployments if the API returns any open issues.

  D. Send an API call to each workload ahead of deployment. Pause the deployments if the API call fails.

  Correct Answer: B

  The AWS Health API provides programmatic access to the AWS Health information that is presented in the AWS Personal Health Dashboard. You can use the API operations to get information about AWS Health events that affect your AWS services and resources. You can also use the API to enable or disable health-based insights for your organization. You can use the AWS Health API at the start of each deployment to check on AWS infrastructure health and pause all new deployments if the API returns any issues.

  References: https://docs.aws.amazon.com/health/latest/APIReference/Welcome.html

• Question 364:

  A company wants to use high-performance computing and artificial intelligence to improve its fraud prevention and detection technology. The company requires distributed processing to complete a single workload as quickly as possible.

  Which solution will meet these requirements?

  A. Use Amazon Elastic Kubernetes Service (Amazon EKS) and multiple containers.

  B. Use AWS ParallelCluster and the Message Passing Interface (MPI) libraries.

  C. Use an Application Load Balancer and Amazon EC2 instances.

  D. Use AWS Lambda functions.

  Correct Answer: B

  AWS ParallelCluster is a service that allows you to create and manage high- performance computing (HPC) clusters on AWS. It supports multiple schedulers, including AWS Batch, which can run distributed workloads across multiple EC2

  instances1. MPI is a standard for message passing between processes in parallel computing. It provides functions for sending and receiving data, synchronizing processes, and managing communication groups2.

  By using AWS ParallelCluster and MPI libraries, you can take advantage of the following benefits:

  You can easily create and configure HPC clusters that meet your specific requirements, such as instance type, number of nodes, network configuration, and storage options1. You can leverage the scalability and elasticity of AWS to run large-

  scale parallel workloads without worrying about provisioning or managing servers1. You can use MPI libraries to optimize the performance and efficiency of your parallel applications by enabling inter-process communication and data

  exchange2. You can choose from a variety of MPI implementations that are compatible with AWS ParallelCluster, such as Open MPI, Intel MPI, and MPICH3.

• Question 365:

  A company has a serverless application on AWS that uses Amazon RDS as a backend database. The application sometimes experiences a sudden unpredictable increase in traffic. During traffic increases, the application frequently opens and closes connections to the database, which causes the application to receive errors from the database or run out of connections. The company needs to ensure that the application is always scalable and highly available.

  Which solution will meet these requirements WITHOUT any code changes to the application?

  A. Increase the maximum number of connections in the option group of the RDS database of the serverless application.

  B. Increase the instance size of the RDS DB instance to meet the peak load traffic.

  C. Deploy Amazon RDS Proxy between the serverless application and Amazon RDS.

  D. Purchase Reserved Instances for Amazon RDS to ensure that the database is highly available during peak load traffic.

  Correct Answer: C

  Amazon RDS Proxy is a fully managed database proxy that makes applications more scalable, more resilient to database failures, and more secure. RDS Proxy sits between your application and your relational database to pool and share established database connections, improving database efficiency and application scalability. RDS Proxy also reduces the load on the database by handling connection management and query retries for transient errors. By deploying RDS Proxy between your serverless application and Amazon RDS, you can avoid opening and closing connections to the database frequently, which can cause errors or run out of connections. This solution will also reduce operational costs and improve availability of your application. References: https://aws.amazon.com/rds/proxy/

• Question 366:

  A company's applications run on Amazon EC2 instances in Auto Scaling groups. The company notices that its applications experience sudden traffic increases on random days of the week The company wants to maintain application performance during sudden traffic increases. Which solution will meet these requirements MOST cost-effectively?

  A. Use manual scaling to change the size of the Auto Scaling group.

  B. Use predictive scaling to change the size of the Auto Scaling group.

  C. Use dynamic scaling to change the size of the Auto Scaling group.

  D. Use schedule scaling to change the size of the Auto Scaling group

  Correct Answer: C

  Dynamic scaling is a type of autoscaling that automatically adjusts the number of EC2 instances in an Auto Scaling group based on demand or load. It uses CloudWatch alarms to trigger scaling actions when a specified metric crosses a threshold. It can scale out (add instances) or scale in (remove instances) as needed1. By using dynamic scaling, the solution can maintain application performance during sudden traffic increases most cost-effectively.

  A. Use manual scaling to change the size of the Auto Scaling group. This solution will not meet the requirement of maintaining application performance during sudden traffic increases, as manual scaling requires users to manually increase or decrease the number of instances through a CLI or console. It does not respond automatically to changes in demand or load2.

  B. Use predictive scaling to change the size of the Auto Scaling group. This solution will not meet the requirement of most cost-effectiveness, as predictive scaling uses machine learning and artificial intelligence tools to evaluate traffic loads and anticipate when more or fewer resources are needed. It performs scheduled scaling actions based on the prediction, which may not match the actual demand or load at any given time. Predictive scaling is more suitable for scenarios where there are predictable traffic patterns or known changes in traffic loads3.

  D. Use schedule scaling to change the size of the Auto Scaling group. This solution will not meet the requirement of maintaining application performance during sudden traffic increases, as schedule scaling performs scaling actions at specific times that users schedule. It does not respond automatically to changes in demand or load. Schedule scaling is more suitable for scenarios where there are predictable traffic drops or spikes at specific times of the day.

  Reference: https://docs.aws.amazon.com/autoscaling/ec2/userguide/as-scale-based-on-demand.html

• Question 367:

  A company hosts an internal serverless application on AWS by using Amazon API Gateway and AWS Lambda. The company's employees report issues with high latency when they begin using the application each day. The company wants to reduce latency.

  Which solution will meet these requirements?

  A. Increase the API Gateway throttling limit.

  B. Set up a scheduled scaling to increase Lambda provisioned concurrency before employees begin to use the application each day.

  C. Create an Amazon CloudWatch alarm to initiate a Lambda function as a target for the alarm at the beginning of each day.

  D. Increase the Lambda function memory.

  Correct Answer: B

  AWS Lambda is a serverless compute service that lets you run code without provisioning or managing servers. Lambda scales automatically based on the incoming requests, but it may take some time to initialize new instances of your function if there is a sudden increase in demand. This may result in high latency or cold starts for your application. To avoid this, you can use provisioned concurrency, which ensures that your function is initialized and ready to respond at any time. You can also set up a scheduled scaling policy that increases the provisioned concurrency before employees begin to use the application each day, and decreases it when the demand is low.

  References: https://docs.aws.amazon.com/lambda/latest/dg/configuration-concurrency.html

• Question 368:

  A company is deploying an application that processes large quantities of data in parallel. The company plans to use Amazon EC2 instances for the workload. The network architecture must be configurable to prevent groups of nodes from sharing the same underlying hardware.

  Which networking solution meets these requirements?

  A. Run the EC2 instances in a spread placement group.

  B. Group the EC2 instances in separate accounts.

  C. Configure the EC2 instances with dedicated tenancy.

  D. Configure the EC2 instances with shared tenancy.

  Correct Answer: A

  Spread Placement Group strictly places a small group of instances across distinct underlying hardware to reduce correlated failures.

• Question 369:

  A solutions architect is designing a highly available Amazon ElastiCache for Redis based solution. The solutions architect needs to ensure that failures do not result in performance degradation or loss of data locally and within an AWS Region. The solution needs to provide high availability at the node level and at the Region level.

  Which solution will meet these requirements?

  A. Use Multi-AZ Redis replication groups with shards that contain multiple nodes.

  B. Use Redis shards that contain multiple nodes with Redis append only files (AOF) tured on.

  C. Use a Multi-AZ Redis cluster with more than one read replica in the replication group.

  D. Use Redis shards that contain multiple nodes with Auto Scaling turned on.

  Correct Answer: A

  This answer is correct because it provides high availability at the node level and at the Region level for the ElastiCache for Redis solution. A Multi-AZ Redis replication group consists of a primary cluster and up to five read replica clusters,

  each in a different Availability Zone. If the primary cluster fails, one of the read replicas is automatically promoted to be the new primary cluster. A Redis replication group with shards enables partitioning of the data across multiple nodes,

  which increases the scalability and performance of the solution. Each shard can have one or more replicas to provide redundancy and read scaling.

  References:

  https://docs.aws.amazon.com/AmazonElastiCache/latest/red-ug/AutoFailover.html https://docs.aws.amazon.com/AmazonElastiCache/latest/red-ug/Shards.html

• Question 370:

  A company has five organizational units (OUs) as part of its organization in AWS Organizations. Each OU correlates to the five businesses that the company owns. The company's research and development (RandD) business is separating from the company and will need its own organization. A solutions architect creates a separate new management account for this purpose.

  What should the solutions architect do next in the new management account?

  A. Have the RandD AWS account be part of both organizations during the transition.

  B. Invite the RandD AWS account to be part of the new organization after the RandD AWS account has left the prior organization.

  C. Create a new RandD AWS account in the new organization. Migrate resources from the prior RandD AWS account to the new RandD AWS account.

  D. Have the RandD AWS account join the new organization. Make the new management account a member of the prior organization.

  Correct Answer: C

  When separating a business unit from an AWS Organizations structure, best practice is to:

  Create a new AWS account dedicated for the business unit in the new organization Migrate resources from the old account to the new account Remove the old account from the original organization This allows a clean break between the

  organizations and avoids any linking between them after separation.