SAA-C03 practice questions 561–570

1. Question 561 · 1017 in bank

   A company is designing a solution to capture customer activity in different web applications to process analytics and make predictions. Customer activity in the web applications is unpredictable and can increase suddenly. The company requires a solution that integrates with other web applications. The solution must include an authorization step for security purposes. Which solution will meet these requirements?

   • AConfigure a Gateway Load Balancer (GWLB) in front of an Amazon Elastic Container Service (Amazon ECS) container instance that stores the information that the company receives in an Amazon Elastic File System (Amazon EFS) file system. Authorization is resolved at the GWLB.
   • BConfigure an Amazon API Gateway endpoint in front of an Amazon Kinesis data stream that stores the information that the company receives in an Amazon S3 bucket. Use an AWS Lambda function to resolve authorization.
   • CConfigure an Amazon API Gateway endpoint in front of an Amazon Kinesis Data Firehose that stores the information that the company receives in an Amazon S3 bucket. Use an API Gateway Lambda authorizer to resolve authorization.
   • DConfigure a Gateway Load Balancer (GWLB) in front of an Amazon Elastic Container Service (Amazon ECS) container instance that stores the information that the company receives on an Amazon Elastic File System (Amazon EFS) file system. Use an AWS Lambda function to resolve authorization.

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   Answer: C

   Explanation

   Option C: Configure an Amazon API Gateway endpoint in front of an Amazon Kinesis Data Firehose that stores the information that the company receives in an Amazon S3 bucket. Use an API Gateway Lambda authorizer to resolve authorization. This solution meets the requirements in the following ways: Handles Unpredictable Traffic: Amazon Kinesis Data Firehose can handle variable amounts of streaming data and automatically scales to accommodate sudden increases in traffic. Integration with Web Applications: Amazon API Gateway provides a RESTful API endpoint for integrating with web applications. Authorization: An API Gateway Lambda authorizer provides the necessary authorization step to secure API access. Data Storage: Amazon Kinesis Data Firehose can deliver data directly to an Amazon S3 bucket for storage, making it suitable for long-term analytics and predictions.

   Source: Adapted from community discussion — emakid

   References

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

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2. Question 562 · 1017 in bank

   An ecommerce company wants a disaster recovery solution for its Amazon RDS DB instances that run Microsoft SQL Server Enterprise Edition. The company's current recovery point objective (RPO) and recovery time objective (RTO) are 24 hours. Which solution will meet these requirements MOST cost-effectively?

   • ACreate a cross-Region read replica and promote the read replica to the primary instance.
   • BUse AWS Database Migration Service (AWS DMS) to create RDS cross-Region replication.
   • CUse cross-Region replication every 24 hours to copy native backups to an Amazon S3 bucket.
   • DCopy automatic snapshots to another Region every 24 hours.

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   Answer: D

   Explanation

   This is the most cost-effective solution because it does not require any additional AWS services. Amazon RDS automatically creates snapshots of your DB instances every hour. You can copy these snapshots to another Region every 24 hours to meet your RPO and RTO requirements. The other solutions are more expensive because they require additional AWS services. For example, AWS DMS is a more expensive service than AWS RDS.

   Source: Adapted from community discussion — Eminenza22

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3. Question 563 · 1017 in bank

   A company runs a web application on Amazon EC2 instances in an Auto Scaling group behind an Application Load Balancer that has sticky sessions enabled. The web server currently hosts the user session state. The company wants to ensure high availability and avoid user session state loss in the event of a web server outage. Which solution will meet these requirements?

   • AUse an Amazon ElastiCache for Memcached instance to store the session data. Update the application to use ElastiCache for Memcached to store the session state.
   • BUse Amazon ElastiCache for Redis to store the session state. Update the application to use ElastiCache for Redis to store the session state.
   • CUse an AWS Storage Gateway cached volume to store session data. Update the application to use AWS Storage Gateway cached volume to store the session state.
   • DUse Amazon RDS to store the session state. Update the application to use Amazon RDS to store the session state.

   Show answer

   Answer: B

   Explanation

   The key points are: ElastiCache Redis provides in-memory caching that can deliver microsecond latency for session data. Redis supports replication and multi-AZ which can provide high availability for the cache. The application can be updated to store session data in ElastiCache Redis rather than locally on the web servers. If a web server fails, the user can be routed via the load balancer to another web server which can retrieve their session data from the highly available ElastiCache Redis cluster.

   Source: Adapted from community discussion — Guru4Cloud

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4. Question 564 · 1017 in bank

   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?

   • ADesign 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.
   • BCreate 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.
   • CCache 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.
   • DCollect 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.

   Show answer

   Answer: D

   Explanation

   Option D is the most appropriate solution for transmitting and processing the clickstream data in this scenario. Amazon Kinesis Data Streams is a highly scalable and durable service that enables real-time processing of streaming data at a high volume and high rate. You can use Kinesis Data Streams to collect and process the clickstream data in real-time. Amazon Kinesis Data Firehose is a fully managed service that loads streaming data into data stores and analytics tools. You can use Kinesis Data Firehose to transmit the data from Kinesis Data Streams to an Amazon S3 data lake. Once the data is in the data lake, you can use Amazon Redshift to load the data and perform analysis on it. Amazon Redshift is a fully managed, petabyte-scale data warehouse service that allows you to quickly and efficiently analyze data using SQL and your existing business intelligence tools.

   Source: Adapted from community discussion — Buruguduystunstugudunstuy

   References

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

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5. Question 565 · 1017 in bank

   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?

   • ACreate a read replica of the database. Direct the queries to the read replica.
   • BCreate a backup of the database. Restore the backup to another DB instance. Direct the queries to the new database.
   • CExport the data to Amazon S3. Use Amazon Athena to query the S3 bucket.
   • DResize the DB instance to accommodate the additional workload.

   Show answer

   Answer: A

   Explanation

   This is the most cost-effective solution because it does not require any additional AWS services. A read replica is a copy of a database that is synchronized with the primary database. You can direct the queries for the report to the read replica, which will not affect the performance of the daily workloads

   Source: Adapted from community discussion — Eminenza22

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6. Question 566 · 1017 in bank

   A company runs a container application by using Amazon Elastic Kubernetes Service (Amazon EKS). The application includes microservices that manage customers and place orders. The company needs to route incoming requests to the appropriate microservices. Which solution will meet this requirement MOST cost-effectively?

   • AUse the AWS Load Balancer Controller to provision a Network Load Balancer.
   • BUse the AWS Load Balancer Controller to provision an Application Load Balancer.
   • CUse an AWS Lambda function to connect the requests to Amazon EKS.
   • DUse Amazon API Gateway to connect the requests to Amazon EKS.

   Show answer

   Answer: B

   Explanation

   "The company needs to route incoming requests to the appropriate microservices" In Kubernetes world, this would be called an Ingress Service so it will need B https://kubernetes-sigs.github.io/aws-load-balancer-controller/v2.6/ https://kubernetes.io/docs/concepts/services-networking/ingress/

   Source: Adapted from community discussion — awsgeek75

   References

   • Kubernetes documentation
   • AWS documentation
   • AWS documentation

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7. Question 567 · 1017 in bank

   A company uses AWS and sells access to copyrighted images. The company’s global customer base needs to be able to access these images quickly. The company must deny access to users from specific countries. The company wants to minimize costs as much as possible. Which solution will meet these requirements?

   • AUse Amazon S3 to store the images. Turn on multi-factor authentication (MFA) and public bucket access. Provide customers with a link to the S3 bucket.
   • BUse Amazon S3 to store the images. Create an IAM user for each customer. Add the users to a group that has permission to access the S3 bucket.
   • CUse Amazon EC2 instances that are behind Application Load Balancers (ALBs) to store the images. Deploy the instances only in the countries the company services. Provide customers with links to the ALBs for their specific country's instances.
   • DUse Amazon S3 to store the images. Use Amazon CloudFront to distribute the images with geographic restrictions. Provide a signed URL for each customer to access the data in CloudFront.

   Show answer

   Answer: D

   Explanation

   Store images = Amazon S3 global customer base needs to be able to access these images quickly = Amazon CloudFront deny access to users from specific countries = Amazon CloudFront geographic restrictions, signed URLs

   Source: Adapted from community discussion — TariqKipkemei

   References

   • AWS documentation

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8. Question 568 · 1017 in bank

   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?

   • AUse Multi-AZ Redis replication groups with shards that contain multiple nodes.
   • BUse Redis shards that contain multiple nodes with Redis append only files (AOF) turned on.
   • CUse a Multi-AZ Redis cluster with more than one read replica in the replication group.
   • DUse Redis shards that contain multiple nodes with Auto Scaling turned on.

   Show answer

   Answer: A

   Explanation

   It seems like "Multi-AZ Redis replication group" (A) and "Multi-AZ Redis cluster" (C) are different wordings for the same configuration. However, "to minimize the impact of a node failure, we recommend that your implementation use multiple nodes in each shard" - and that is mentioned only in A.

   Source: Adapted from community discussion — pentium75

   References

   • AWS documentation
   • AWS documentation

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9. Question 569 · 1017 in bank

   A company plans to migrate to AWS and use Amazon EC2 On-Demand Instances for its application. During the migration testing phase, a technical team observes that the application takes a long time to launch and load memory to become fully productive. Which solution will reduce the launch time of the application during the next testing phase?

   • ALaunch two or more EC2 On-Demand Instances. Turn on auto scaling features and make the EC2 On-Demand Instances available during the next testing phase.
   • BLaunch EC2 Spot Instances to support the application and to scale the application so it is available during the next testing phase.
   • CLaunch the EC2 On-Demand Instances with hibernation turned on. Configure EC2 Auto Scaling warm pools during the next testing phase.
   • DLaunch EC2 On-Demand Instances with Capacity Reservations. Start additional EC2 instances during the next testing phase.

   Show answer

   Answer: C

   Explanation

   Using EC2 hibernation and Auto Scaling warm pools will help address this: Hibernation saves the in-memory state of the EC2 instance to persistent storage and shuts the instance down. When the instance is started again, the in-memory state is restored, which launches much faster than launching a new instance. Warm pools pre-initialize EC2 instances and keep them ready to fulfill requests, reducing launch time. The hibernated instances can be added to a warm pool. When auto scaling scales out during the next testing phase, it will be able to launch instances from the warm pool rapidly since they are already initialized

   Source: Adapted from community discussion — Guru4Cloud

   References

   • AWS documentation
   • AWS documentation

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10. Question 570 · 1017 in bank

    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?

    • AUse manual scaling to change the size of the Auto Scaling group.
    • BUse predictive scaling to change the size of the Auto Scaling group.
    • CUse dynamic scaling to change the size of the Auto Scaling group.
    • DUse schedule scaling to change the size of the Auto Scaling group.

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    Answer: C

    Explanation

    Dynamic Scaling – This is yet another type of Auto Scaling in which the number of EC2 instances is changed automatically depending on the signals received. Dynamic Scaling is a good choice when there is a high volume of unpredictable traffic. https://www.developer.com/web-services/aws-auto-scaling-types-best-practices/#:~:text=Dynamic%20Scaling%20%E2%80%93%20This%20is%20yet,high%20volume%20of%20unpredictable%20traffic.

    Source: Adapted from community discussion — ralfj

    References

    • AWS documentation

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SAA-C03 practice, question 561. 1017 questions available.