SAA-C03 practice questions 241–250

1. Question 241 · 1017 in bank

   A company is running a critical business application on Amazon EC2 instances behind an Application Load Balancer. The EC2 instances run in an Auto Scaling group and access an Amazon RDS DB instance. The design did not pass an operational review because the EC2 instances and the DB instance are all located in a single Availability Zone. A solutions architect must update the design to use a second Availability Zone. Which solution will make the application highly available?

   • AProvision a subnet in each Availability Zone. Configure the Auto Scaling group to distribute the EC2 instances across both Availability Zones. Configure the DB instance with connections to each network.
   • BProvision two subnets that extend across both Availability Zones. Configure the Auto Scaling group to distribute the EC2 instances across both Availability Zones. Configure the DB instance with connections to each network.
   • CProvision a subnet in each Availability Zone. Configure the Auto Scaling group to distribute the EC2 instances across both Availability Zones. Configure the DB instance for Multi-AZ deployment.
   • DProvision a subnet that extends across both Availability Zones. Configure the Auto Scaling group to distribute the EC2 instances across both Availability Zones. Configure the DB instance for Multi-AZ deployment.

   Show answer

   Answer: C

   Explanation

   An Auto Scaling group can span across two Availability Zones, where one subnet is created in each AZ. When creating an Auto Scaling group, you need to specify at least one subnet. You can add additional subnets later on, including subnets across multiple AZs. Auto Scaling will distribute instances evenly across the specified subnets to maintain availability and optimize performance. If one AZ becomes unavailable, instances can be launched in the other AZ. The associated load balancer should also span the same subnets/AZs as the Auto Scaling group. This allows traffic to be routed to instances in different subnets and AZs, increasing fault tolerance of the application.

   Source: Adapted from community discussion — thewalker

   References

   • AWS documentation
   • AWS documentation
   • AWS documentation

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2. Question 242 · 1017 in bank

   A research laboratory needs to process approximately 8 TB of data. The laboratory requires sub-millisecond latencies and a minimum throughput of 6 GBps for the storage subsystem. Hundreds of Amazon EC2 instances that run Amazon Linux will distribute and process the data. Which solution will meet the performance requirements?

   • ACreate an Amazon FSx for NetApp ONTAP file system. Sat each volume’ tiering policy to ALL. Import the raw data into the file system. Mount the fila system on the EC2 instances.
   • BCreate an Amazon S3 bucket to store the raw data. Create an Amazon FSx for Lustre file system that uses persistent SSD storage. Select the option to import data from and export data to Amazon S3. Mount the file system on the EC2 instances.
   • CCreate an Amazon S3 bucket to store the raw data. Create an Amazon FSx for Lustre file system that uses persistent HDD storage. Select the option to import data from and export data to Amazon S3. Mount the file system on the EC2 instances.
   • DCreate an Amazon FSx for NetApp ONTAP file system. Set each volume’s tiering policy to NONE. Import the raw data into the file system. Mount the file system on the EC2 instances.

   Show answer

   Answer: B

   Explanation

   Keyword here is a minimum throughput of 6 GBps. Only the FSx for Lustre with SSD option gives the sub-milli response and throughput of 6 GBps or more. B. Create an Amazon S3 bucket to store the raw data. Create an Amazon FSx for Lustre file system that uses persistent SSD storage. Select the option to import data from and export data to Amazon S3. Mount the file system on the EC2 instances. Refrences: https://aws.amazon.com/fsx/when-to-choose-fsx/

   Source: Adapted from community discussion — Bhawesh

   References

   • AWS documentation
   • AWS documentation
   • AWS documentation

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3. Question 243 · 1017 in bank

   A company uses AWS Organizations to manage multiple AWS accounts for different departments. The management account has an Amazon S3 bucket that contains project reports. The company wants to limit access to this S3 bucket to only users of accounts within the organization in AWS Organizations. Which solution meets these requirements with the LEAST amount of operational overhead?

   • AAdd the aws PrincipalOrgID global condition key with a reference to the organization ID to the S3 bucket policy.
   • BCreate an organizational unit (OU) for each department. Add the aws:PrincipalOrgPaths global condition key to the S3 bucket policy.
   • CUse AWS CloudTrail to monitor the CreateAccount, InviteAccountToOrganization, LeaveOrganization, and RemoveAccountFromOrganization events. Update the S3 bucket policy accordingly.
   • DTag each user that needs access to the S3 bucket. Add the aws:PrincipalTag global condition key to the S3 bucket policy.

   Show answer

   Answer: A

   Explanation

   Condition keys: AWS provides condition keys that you can query to provide more granular control over certain actions. The following condition keys are especially useful with AWS Organizations: aws:PrincipalOrgID – Simplifies specifying the Principal element in a resource-based policy. This global key provides an alternative to listing all the account IDs for all AWS accounts in an organization. Instead of listing all of the accounts that are members of an organization, you can specify the organization ID in the Condition element. aws:PrincipalOrgPaths – Use this condition key to match members of a specific organization root, an OU, or its children. The aws:PrincipalOrgPaths condition key returns true when the principal (root user, IAM user, or role) making the request is in the specified organization path. A path is a text representation of the structure of an AWS Organizations entity.

   Source: Adapted from community discussion — Naneyerocky

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4. Question 244 · 1017 in bank

   A development team runs monthly resource-intensive tests on its general purpose Amazon RDS for MySQL DB instance with Performance Insights enabled. The testing lasts for 48 hours once a month and is the only process that uses the database. The team wants to reduce the cost of running the tests without reducing the compute and memory attributes of the DB instance. Which solution meets these requirements MOST cost-effectively?

   • AStop the DB instance when tests are completed. Restart the DB instance when required.
   • BUse an Auto Scaling policy with the DB instance to automatically scale when tests are completed.
   • CCreate a snapshot when tests are completed. Terminate the DB instance and restore the snapshot when required.
   • DModify the DB instance to a low-capacity instance when tests are completed. Modify the DB instance again when required.

   Show answer

   Answer: C

   Explanation

   C - Create a manual Snapshot of DB and shift to S3- Standard and Restore form Manual Snapshot when required. Not A - By stopping the DB although you are not paying for DB hours you are still paying for Provisioned IOPs , the storage for Stopped DB is more than Snapshot of underlying EBS vol. and Automated Back ups . Not D - Is possible but not MOST cost effective, no need to run the RDS when not needed.

   Source: Adapted from community discussion — KVK16

   References

   • AWS documentation
   • AWS documentation
   • AWS documentation

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5. Question 245 · 1017 in bank

   A company needs to migrate a legacy application from an on-premises data center to the AWS Cloud because of hardware capacity constraints. The application runs 24 hours a day, 7 days a week. The application’s database storage continues to grow over time. What should a solutions architect do to meet these requirements MOST cost-effectively?

   • AMigrate the application layer to Amazon EC2 Spot Instances. Migrate the data storage layer to Amazon S3.
   • BMigrate the application layer to Amazon EC2 Reserved Instances. Migrate the data storage layer to Amazon RDS On-Demand Instances.
   • CMigrate the application layer to Amazon EC2 Reserved Instances. Migrate the data storage layer to Amazon Aurora Reserved Instances.
   • DMigrate the application layer to Amazon EC2 On-Demand Instances. Migrate the data storage layer to Amazon RDS Reserved Instances.

   Show answer

   Answer: C

   Explanation

   Amazon EC2 Reserved Instances allow for significant cost savings compared to On-Demand instances for long-running, steady-state workloads like this one. Reserved Instances provide a capacity reservation, so the instances are guaranteed to be available for the duration of the reservation period. Amazon Aurora is a highly scalable, cloud-native relational database service that is designed to be compatible with MySQL and PostgreSQL. It can automatically scale up to meet growing storage requirements, so it can accommodate the application's database storage needs over time. By using Reserved Instances for Aurora, the cost savings will be significant over the long term.

   Source: Adapted from community discussion — LuckyAro

   References

   • AWS documentation
   • AWS documentation
   • AWS documentation

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6. Question 246 · 1017 in bank

   A university research laboratory needs to migrate 30 TB of data from an on-premises Windows file server to Amazon FSx for Windows File Server. The laboratory has a 1 Gbps network link that many other departments in the university share. The laboratory wants to implement a data migration service that will maximize the performance of the data transfer. However, the laboratory needs to be able to control the amount of bandwidth that the service uses to minimize the impact on other departments. The data migration must take place within the next 5 days. Which AWS solution will meet these requirements?

   • AAWS Snowcone
   • BAmazon FSx File Gateway
   • CAWS DataSync
   • DAWS Transfer Family

   Show answer

   Answer: C

   Explanation

   AWS DataSync is a data transfer service that can copy large amounts of data between on-premises storage and Amazon FSx for Windows File Server at high speeds. It allows you to control the amount of bandwidth used during data transfer. • DataSync uses agents at the source and destination to automatically copy files and file metadata over the network. This optimizes the data transfer and minimizes the impact on your network bandwidth. • DataSync allows you to schedule data transfers and configure transfer rates to suit your needs. You can transfer 30 TB within 5 days while controlling bandwidth usage. • DataSync can resume interrupted transfers and validate data to ensure integrity. It provides detailed monitoring and reporting on the progress and performance of data transfers.

   Source: Adapted from community discussion — kruasan

   References

   • AWS documentation
   • AWS documentation
   • AWS documentation
   • AWS documentation
   • AWS documentation

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7. Question 247 · 1017 in bank

   A company wants to create a mobile app that allows users to stream slow-motion video clips on their mobile devices. Currently, the app captures video clips and uploads the video clips in raw format into an Amazon S3 bucket. The app retrieves these video clips directly from the S3 bucket. However, the videos are large in their raw format. Users are experiencing issues with buffering and playback on mobile devices. The company wants to implement solutions to maximize the performance and scalability of the app while minimizing operational overhead. Which combination of solutions will meet these requirements? (Choose two.)

   • ADeploy Amazon CloudFront for content delivery and caching.
   • BUse AWS DataSync to replicate the video files across AW'S Regions in other S3 buckets.
   • CUse Amazon Elastic Transcoder to convert the video files to more appropriate formats.
   • DDeploy an Auto Sealing group of Amazon EC2 instances in Local Zones for content delivery and caching.
   • EDeploy an Auto Scaling group of Amazon EC2 instances to convert the video files to more appropriate formats.

   Show answer

   Answer: A

   Explanation

   For Minimum operational overhead, the 2 options A,C should be correct. A. Deploy Amazon CloudFront for content delivery and caching. C. Use Amazon Elastic Transcoder to convert the video files to more appropriate formats.

   Source: Adapted from community discussion — Bhawesh

   References

   • AWS documentation

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8. Question 248 · 1017 in bank

   A company is launching a new application deployed on an Amazon Elastic Container Service (Amazon ECS) cluster and is using the Fargate launch type for ECS tasks. The company is monitoring CPU and memory usage because it is expecting high traffic to the application upon its launch. However, the company wants to reduce costs when utilization decreases. What should a solutions architect recommend?

   • AUse Amazon EC2 Auto Scaling to scale at certain periods based on previous traffic patterns.
   • BUse an AWS Lambda function to scale Amazon ECS based on metric breaches that trigger an Amazon CloudWatch alarm.
   • CUse Amazon EC2 Auto Scaling with simple scaling policies to scale when ECS metric breaches trigger an Amazon CloudWatch alarm.
   • DUse AWS Application Auto Scaling with target tracking policies to scale when ECS metric breaches trigger an Amazon CloudWatch alarm.

   Show answer

   Answer: D

   Explanation

   Target tracking will scale in/out the ECS cluster to maintain the average CPU utilization to a set value. e.g. >> Scale out when average CPU utilization is above 50% until average CPU utilization is back to 50%. And scale in when average CPU utilization is below 50% until average CPU utilization is back to 50%.

   Source: Adapted from community discussion — TariqKipkemei

   References

   • AWS documentation

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9. Question 249 · 1017 in bank

   A company recently created a disaster recovery site in a different AWS Region. The company needs to transfer large amounts of data back and forth between NFS file systems in the two Regions on a periodic basis. Which solution will meet these requirements with the LEAST operational overhead?

   • AUse AWS DataSync.
   • BUse AWS Snowball devices.
   • CSet up an SFTP server on Amazon EC2.
   • DUse AWS Database Migration Service (AWS DMS).

   Show answer

   Answer: A

   Explanation

   AWS DataSync is a fully managed data transfer service that simplifies moving large amounts of data between on-premises storage systems and AWS services. It can also transfer data between different AWS services, including different AWS Regions. DataSync provides a simple, scalable, and automated solution to transfer data, and it minimizes the operational overhead because it is fully managed by AWS.

   Source: Adapted from community discussion — LuckyAro

   References

   • AWS documentation

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10. Question 250 · 1017 in bank

    A company is designing a shared storage solution for a gaming application that is hosted in the AWS Cloud. The company needs the ability to use SMB clients to access data. The solution must be fully managed. Which AWS solution meets these requirements?

    • ACreate an AWS DataSync task that shares the data as a mountable file system. Mount the file system to the application server.
    • BCreate an Amazon EC2 Windows instance. Install and configure a Windows file share role on the instance. Connect the application server to the file share.
    • CCreate an Amazon FSx for Windows File Server file system. Attach the file system to the origin server. Connect the application server to the file system.
    • DCreate an Amazon S3 bucket. Assign an IAM role to the application to grant access to the S3 bucket. Mount the S3 bucket to the application server.

    Show answer

    Answer: C

    Explanation

    • Amazon FSx for Windows File Server provides a fully managed native Windows file system that can be accessed using the industry-standard SMB protocol. This allows Windows clients like the gaming application to directly access file data. • FSx for Windows File Server handles time-consuming file system administration tasks like provisioning, setup, maintenance, file share management, backups, security, and software patching - reducing operational overhead. • FSx for Windows File Server supports high file system throughput, IOPS, and consistent low latencies required for performance-sensitive workloads. This makes it suitable for a gaming application. • The file system can be directly attached to EC2 instances, providing a performant shared storage solution for the gaming servers.

    Source: Adapted from community discussion — kruasan

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SAA-C03 practice, question 241. 1017 questions available.