SAA-C03 practice questions 121–130

1. Question 121 · 1017 in bank

   A company has a three-tier web application that is deployed on AWS. The web servers are deployed in a public subnet in a VPC. The application servers and database servers are deployed in private subnets in the same VPC. The company has deployed a third-party virtual firewall appliance from AWS Marketplace in an inspection VPC. The appliance is configured with an IP interface that can accept IP packets. A solutions architect needs to integrate the web application with the appliance to inspect all traffic to the application before the traffic reaches the web server. Which solution will meet these requirements with the LEAST operational overhead?

   • ACreate a Network Load Balancer in the public subnet of the application's VPC to route the traffic to the appliance for packet inspection.
   • BCreate an Application Load Balancer in the public subnet of the application's VPC to route the traffic to the appliance for packet inspection.
   • CDeploy a transit gateway in the inspection VPConfigure route tables to route the incoming packets through the transit gateway.
   • DDeploy a Gateway Load Balancer in the inspection VPC. Create a Gateway Load Balancer endpoint to receive the incoming packets and forward the packets to the appliance.

   Show answer

   Answer: D

   Explanation

   It's D, Coz.. Gateway Load Balancer is a new type of load balancer that operates at layer 3 of the OSI model and is built on Hyperplane, which is capable of handling several thousands of connections per second. Gateway Load Balancer endpoints are configured in spoke VPCs originating or receiving traffic from the Internet. This architecture allows you to perform inline inspection of traffic from multiple spoke VPCs in a simplified and scalable fashion while still centralizing your virtual appliances.

   Source: Adapted from community discussion — pm2229

   References

   • AWS documentation

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2. Question 122 · 1017 in bank

   A company has a web application that is based on Java and PHP. The company plans to move the application from on premises to AWS. The company needs the ability to test new site features frequently. The company also needs a highly available and managed solution that requires minimum operational overhead. Which solution will meet these requirements?

   • ACreate an Amazon S3 bucket. Enable static web hosting on the S3 bucket. Upload the static content to the S3 bucket. Use AWS Lambda to process all dynamic content.
   • BDeploy the web application to an AWS Elastic Beanstalk environment. Use URL swapping to switch between multiple Elastic Beanstalk environments for feature testing.
   • CDeploy the web application to Amazon EC2 instances that are configured with Java and PHP. Use Auto Scaling groups and an Application Load Balancer to manage the website’s availability.
   • DContainerize the web application. Deploy the web application to Amazon EC2 instances. Use the AWS Load Balancer Controller to dynamically route traffic between containers that contain the new site features for testing.

   Show answer

   Answer: B

   Explanation

   B. Provides a highly available and managed solution with minimum operational overhead. By deploying the web application to EBS, the infrastructure and platform management are abstracted, allowing easy deployment and scalability. With URL swapping, different environments can be created for testing new site features, and traffic can be routed between these environments without any downtime. A. Suggests using S3 for static content hosting and Lambda for dynamic content. While it offers simplicity for static content, it does not provide the necessary flexibility and dynamic functionality required by a Java and PHP-based web application. C. Involves manual management of EC2, ASG, and ELB, which requires more operational overhead and may not provide the desired level of availability and ease of testing. D. Introduces containerization, which adds complexity and operational overhead for managing containers and infrastructure, making it less suitable for a requirement of minimum operational overhead.

   Source: Adapted from community discussion — cookieMr

   References

   • AWS documentation
   • AWS documentation
   • AWS documentation

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3. Question 123 · 1017 in bank

   A company has an ordering application that stores customer information in Amazon RDS for MySQL. During regular business hours, employees run one-time queries for reporting purposes. Timeouts are occurring during order processing because the reporting queries are taking a long time to run. The company needs to eliminate the timeouts without preventing employees from performing queries. What should a solutions architect do to meet these requirements?

   • ACreate a read replica. Move reporting queries to the read replica.
   • BCreate a read replica. Distribute the ordering application to the primary DB instance and the read replica.
   • CMigrate the ordering application to Amazon DynamoDB with on-demand capacity.
   • DSchedule the reporting queries for non-peak hours.

   Show answer

   Answer: A

   Explanation

   A. By moving the reporting queries to the read replica, the primary DB instance used for order processing is not affected by the long-running reporting queries. This helps eliminate timeouts during order processing while allowing employees to perform their queries without impacting the application's performance. B. While this can provide some level of load distribution, it does not specifically address the issue of timeouts caused by reporting queries during order processing. C. While DynamoDB offers scalability and performance benefits, it may require significant changes to the application's data model and querying approach. D. While this approach can help alleviate the impact on order processing, it does not address the requirement of eliminating timeouts without preventing employees from performing queries.

   Source: Adapted from community discussion — cookieMr

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4. Question 124 · 1017 in bank

   Select 2

   A hospital wants to create digital copies for its large collection of historical written records. The hospital will continue to add hundreds of new documents each day. The hospital’s data team will scan the documents and will upload the documents to the AWS Cloud. A solutions architect must implement a solution to analyze the documents, extract the medical information, and store the documents so that an application can run SQL queries on the data. The solution must maximize scalability and operational efficiency. Which combination of steps should the solutions architect take to meet these requirements? (Choose two.)

   • AWrite the document information to an Amazon EC2 instance that runs a MySQL database.
   • BWrite the document information to an Amazon S3 bucket. Use Amazon Athena to query the data.
   • CCreate an Auto Scaling group of Amazon EC2 instances to run a custom application that processes the scanned files and extracts the medical information.
   • DCreate an AWS Lambda function that runs when new documents are uploaded. Use Amazon Rekognition to convert the documents to raw text. Use Amazon Transcribe Medical to detect and extract relevant medical information from the text.
   • ECreate an AWS Lambda function that runs when new documents are uploaded. Use Amazon Textract to convert the documents to raw text. Use Amazon Comprehend Medical to detect and extract relevant medical information from the text.

   Show answer

   Answer: BE

   Explanation

   B and E are correct. Textract to extract text from files. Rekognition can also be used for text detection but after Rekognition - it's mentioned that Transcribe is used. Transcribe is used for Speech to Text. So that option D may not be valid.

   Source: Adapted from community discussion — KADSM

   References

   • AWS documentation

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5. Question 125 · 1017 in bank

   A company is running a batch application on Amazon EC2 instances. The application consists of a backend with multiple Amazon RDS databases. The application is causing a high number of reads on the databases. A solutions architect must reduce the number of database reads while ensuring high availability. What should the solutions architect do to meet this requirement?

   • AAdd Amazon RDS read replicas.
   • BUse Amazon ElastiCache for Redis.
   • CUse Amazon Route 53 DNS caching
   • DUse Amazon ElastiCache for Memcached.

   Show answer

   Answer: A

   Explanation

   A vs B: A: reduce the number of database reads on main + high availability provide B: only reduce the number of DB reads so A wins

   Source: Adapted from community discussion — channn

   References

   • AWS documentation

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6. Question 126 · 1017 in bank

   A company needs to run a critical application on AWS. The company needs to use Amazon EC2 for the application’s database. The database must be highly available and must fail over automatically if a disruptive event occurs. Which solution will meet these requirements?

   • ALaunch two EC2 instances, each in a different Availability Zone in the same AWS Region. Install the database on both EC2 instances. Configure the EC2 instances as a cluster. Set up database replication.
   • BLaunch an EC2 instance in an Availability Zone. Install the database on the EC2 instance. Use an Amazon Machine Image (AMI) to back up the data. Use AWS CloudFormation to automate provisioning of the EC2 instance if a disruptive event occurs.
   • CLaunch two EC2 instances, each in a different AWS Region. Install the database on both EC2 instances. Set up database replication. Fail over the database to a second Region.
   • DLaunch an EC2 instance in an Availability Zone. Install the database on the EC2 instance. Use an Amazon Machine Image (AMI) to back up the data. Use EC2 automatic recovery to recover the instance if a disruptive event occurs.

   Show answer

   Answer: A

   Explanation

   Changing my vote to A. After reviewing a Udemy course of SAA-C03, it seems that A (multi-AZ and Clusters) is sufficient for HA.

   Source: Adapted from community discussion — Gil80

   References

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

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7. Question 127 · 1017 in bank

   A company’s order system sends requests from clients to Amazon EC2 instances. The EC2 instances process the orders and then store the orders in a database on Amazon RDS. Users report that they must reprocess orders when the system fails. The company wants a resilient solution that can process orders automatically if a system outage occurs. What should a solutions architect do to meet these requirements?

   • AMove the EC2 instances into an Auto Scaling group. Create an Amazon EventBridge (Amazon CloudWatch Events) rule to target an Amazon Elastic Container Service (Amazon ECS) task.
   • BMove the EC2 instances into an Auto Scaling group behind an Application Load Balancer (ALB). Update the order system to send messages to the ALB endpoint.
   • CMove the EC2 instances into an Auto Scaling group. Configure the order system to send messages to an Amazon Simple Queue Service (Amazon SQS) queue. Configure the EC2 instances to consume messages from the queue.
   • DCreate an Amazon Simple Notification Service (Amazon SNS) topic. Create an AWS Lambda function, and subscribe the function to the SNS topic. Configure the order system to send messages to the SNS topic. Send a command to the EC2 instances to process the messages by using AWS Systems Manager Run Command.

   Show answer

   Answer: C

   Explanation

   The key reasons are: Using an Auto Scaling group ensures the EC2 instances that process orders are highly available and scalable. With SQS, the orders are decoupled from the instances that process them via asynchronous queuing. If instances fail or go down, the orders remain in the queue until new instances can pick them up. This provides automated resilience. Any failed processing can retry by resending messages back to the queue

   Source: Adapted from community discussion — Guru4Cloud

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8. Question 128 · 1017 in bank

   A company runs an application on a large fleet of Amazon EC2 instances. The application reads and writes entries into an Amazon DynamoDB table. The size of the DynamoDB table continuously grows, but the application needs only data from the last 30 days. The company needs a solution that minimizes cost and development effort. Which solution meets these requirements?

   • AUse an AWS CloudFormation template to deploy the complete solution. Redeploy the CloudFormation stack every 30 days, and delete the original stack.
   • BUse an EC2 instance that runs a monitoring application from AWS Marketplace. Configure the monitoring application to use Amazon DynamoDB Streams to store the timestamp when a new item is created in the table. Use a script that runs on the EC2 instance to delete items that have a timestamp that is older than 30 days.
   • CConfigure Amazon DynamoDB Streams to invoke an AWS Lambda function when a new item is created in the table. Configure the Lambda function to delete items in the table that are older than 30 days.
   • DExtend the application to add an attribute that has a value of the current timestamp plus 30 days to each new item that is created in the table. Configure DynamoDB to use the attribute as the TTL attribute.

   Show answer

   Answer: D

   Explanation

   changing my answer to D after researching a bit. The DynamoDB TTL feature allows you to define a per-item timestamp to determine when an item is no longer needed. Shortly after the date and time of the specified timestamp, DynamoDB deletes the item from your table without consuming any write throughput.

   Source: Adapted from community discussion — Gil80

   References

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

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9. Question 129 · 1017 in bank

   Select 2

   A company has a Microsoft .NET application that runs on an on-premises Windows Server. The application stores data by using an Oracle Database Standard Edition server. The company is planning a migration to AWS and wants to minimize development changes while moving the application. The AWS application environment should be highly available. Which combination of actions should the company take to meet these requirements? (Choose two.)

   • ARefactor the application as serverless with AWS Lambda functions running .NET Core.
   • BRehost the application in AWS Elastic Beanstalk with the .NET platform in a Multi-AZ deployment.
   • CReplatform the application to run on Amazon EC2 with the Amazon Linux Amazon Machine Image (AMI).
   • DUse AWS Database Migration Service (AWS DMS) to migrate from the Oracle database to Amazon DynamoDB in a Multi-AZ deployment.
   • EUse AWS Database Migration Service (AWS DMS) to migrate from the Oracle database to Oracle on Amazon RDS in a Multi-AZ deployment.

   Show answer

   Answer: BE

   Explanation

   B. Rehost the application in AWS Elastic Beanstalk with the .NET platform in a Multi-AZ deployment. E. Use AWS Database Migration Service (AWS DMS) to migrate from the Oracle database to Oracle on Amazon RDS in a Multi-AZ deployment. Rehosting the application in Elastic Beanstalk with the .NET platform can minimize development changes. Multi-AZ deployment of Elastic Beanstalk will increase the availability of application, so it meets the requirement of high availability. Using AWS Database Migration Service (DMS) to migrate the database to Amazon RDS Oracle will ensure compatibility, so the application can continue to use the same database technology, and the development team can use their existing skills. It also migrates to a managed service, which will handle the availability, so the team do not have to worry about it. Multi-AZ deployment will increase the availability of the database.

   Source: Adapted from community discussion — DavidNamy

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10. Question 130 · 1017 in bank

    A company runs a containerized application on a Kubernetes cluster in an on-premises data center. The company is using a MongoDB database for data storage. The company wants to migrate some of these environments to AWS, but no code changes or deployment method changes are possible at this time. The company needs a solution that minimizes operational overhead. Which solution meets these requirements?

    • AUse Amazon Elastic Container Service (Amazon ECS) with Amazon EC2 worker nodes for compute and MongoDB on EC2 for data storage.
    • BUse Amazon Elastic Container Service (Amazon ECS) with AWS Fargate for compute and Amazon DynamoDB for data storage
    • CUse Amazon Elastic Kubernetes Service (Amazon EKS) with Amazon EC2 worker nodes for compute and Amazon DynamoDB for data storage.
    • DUse Amazon Elastic Kubernetes Service (Amazon EKS) with AWS Fargate for compute and Amazon DocumentDB (with MongoDB compatibility) for data storage.

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    Answer: D

    Explanation

    Option D is the correct solution that meets all the requirements: º Use Amazon Elastic Kubernetes Service (Amazon EKS) with AWS Fargate for compute and Amazon DocumentDB (with MongoDB compatibility) for data storage. The key reasons are: º EKS allows running the Kubernetes environment on AWS without changes. º Using Fargate removes the need to provision and manage EC2 instances. º DocumentDB provides MongoDB compatibility so the data layer is unchanged.

    Source: Adapted from community discussion — Guru4Cloud

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SAA-C03 practice, question 121. 1017 questions available.