Amazon SAA-C03 Online Practice Questions and Exam Preparation

Amazon SAA-C03 Online Questions & Answers

• Question 641:

  A company needs to store data from its healthcare application. The application's data frequently changes.

  A new regulation requires audit access at all levels of the stored data. The company hosts the application on an on-premises infrastructure that is running out of storage capacity. A solutions architect must securely migrate the existing data to AWS while satisfying the new regulation.

  Which solution will meet these requirements?

  A. Use AWS DataSync to move the existing data to Amazon S3. Use AWS CloudTrail to log data events.
  B. Use AWS Snowcone to move the existing data to Amazon S3. Use AWS CloudTrail to log management events.
  C. Use Amazon S3 Transfer Acceleration to move the existing data to Amazon S3. Use AWS CloudTrail to log data events.
  D. Use AWS Storage Gateway to move the existing data to Amazon S3. Use AWS CloudTrail to log management events.
  A. Use AWS DataSync to move the existing data to Amazon S3. Use AWS CloudTrail to log data events.

• Question 642:

  A logistics company is creating a data exchange platform to share shipment status information with shippers. The logistics company can see all shipment information and metadata. The company distributes shipment data updates to shippers.

  Each shipper should see only shipment updates that are relevant to their company. Shippers should not see the full detail that is visible to the logistics company. The company creates an Amazon Simple Notification Service (Amazon SNS) topic for each shipper to share data. Some shippers use a mobile app to submit shipment status updates.

  The company needs to create a data exchange platform that provides each shipper specific access to the data that is relevant to their company.

  Which solution will meet these requirements with the LEAST operational overhead?

  A. Ingest the shipment updates from the mobile app into Amazon Simple Queue Service (Amazon SQS). Publish the updates to the SNS topic. Apply a filter policy to rewrite the body of each message.
  B. Ingest the shipment updates from the mobile app into Amazon Simple Queue Service (Amazon SQS). Use an AWS Lambda function to consume the updates from Amazon SQS and rewrite the body of each message. Publish the updates to the SNS topic.
  C. Ingest the shipment updates from the mobile app into a second SNS topic. Publish the updates to the shipper SNS topic. Apply a filter policy to rewrite the body of each message.
  D. Ingest the shipment updates from the mobile app into Amazon Simple Queue Service (Amazon SQS). Filter and rewrite the messages in Amazon EventBridge Pipes. Publish the updates to the SNS topic.
  B. Ingest the shipment updates from the mobile app into Amazon Simple Queue Service (Amazon SQS). Use an AWS Lambda function to consume the updates from Amazon SQS and rewrite the body of each message. Publish the updates to the SNS topic.

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  Explanation

  The best solution is to useAmazon SQSto receive updates from the mobile app and process them with anAWS Lambdafunction. The Lambda function can rewrite the message body as necessary for each shipper and then publish the updates to the appropriateSNS topicfor distribution. Thissetup ensures that each shipper receives only the relevant data and minimizes operational overhead by using managed services.

  Option A (SNS filter policy): SNS does not have the capability to rewrite message bodies before forwarding.

  Option C (Second SNS topic): Using an additional SNS topic adds unnecessary complexity without solving the message rewriting requirement.

  Option D (EventBridge Pipes): EventBridge Pipes is more complex than necessary for this use case, and Lambda can handle the logic more efficiently.

  References:

  Amazon SQS

  Amazon SNS with Lambda

• Question 643:

  A company is running a popular social media website. The website gives users the ability to upload images to share with other users. The company wants to make sure that the images do not contain inappropriate content. The company needs a solution that minimizes development effort.

  What should a solutions architect do to meet these requirements?

  A. Use Amazon Comprehend to detect inappropriate content. Use human review for low-confidence predictions.
  B. Use Amazon Rekognition to detect inappropriate content. Use human review for low-confidence predictions.
  C. Use Amazon SageMaker to detect inappropriate content. Use ground truth to label low-confidence predictions.
  D. Use AWS Fargate to deploy a custom machine learning model to detect inappropriate content. Use ground truth to label low-confidence predictions.
  B. Use Amazon Rekognition to detect inappropriate content. Use human review for low-confidence predictions.

• Question 644:

  A company observes an increase in Amazon EC2 costs in its most recent bill. The billing team notices unwanted vertical scaling of instance types for a couple of EC2 instances. A solutions architect needs to create a graph comparing the last 2 months of EC2 costs and perform an in-depth analysis to identify the root cause of the vertical scaling.

  How should the solutions architect generate the information with the LEAST operational overhead?

  A. Use AWS Budgets to create a budget report and compare EC2 costs based on instance types.
  B. Use Cost Explorer's granular filtering feature to perform an in-depth analysis of EC2 costs based on instance types.
  C. Use graphs from the AWS Billing and Cost Management dashboard to compare EC2 costs based on instance types for the last 2 months.
  D. Use AWS Cost and Usage Reports to create a report and send it to an Amazon S3 bucket. Use Amazon QuickSight with Amazon S3 as a source to generate an interactive graph based on instance types.
  B. Use Cost Explorer's granular filtering feature to perform an in-depth analysis of EC2 costs based on instance types.

• Question 645:

  An online gaming company hosts its platform on Amazon EC2 instances behind Network Load Balancers (NLBs) across multiple AWS Regions. The NLBs can route requests to targets over the internet. The company wants to improve the customer playing experience by reducing end-to-end load time for its global customer base.

  Which solution will meet these requirements?

  A. Create Application Load Balancers (ALBs) in each Region to replace the existing NLBs. Register the existing EC2 instances as targets for the ALBs in each Region.
  B. Configure Amazon Route 53 to route equally weighted traffic to the NLBs in each Region.
  C. Create additional NLBs and EC2 instances in other Regions where the company has large customer bases.
  D. Create a standard accelerator in AWS Global Accelerator. Configure the existing NLBs as target endpoints.
  D. Create a standard accelerator in AWS Global Accelerator. Configure the existing NLBs as target endpoints.

• Question 646:

  A company needs to archive an on-premises relational database. The company wants to retain the data.

  The company needs to be able to run SQL queries on the archived data to create annual reports.

  Which solution will meet these requirements with the LEAST operational overhead?

  A. Use AWS Database Migration Service (AWS DMS) to migrate the on-premises database to an Amazon RDS instance. Retire the on-premises database. Maintain the RDS instance in a stopped state until the data is needed for reports.
  B. Set up database replication from the on-premises database to an Amazon EC2 instance. Retire the on-premises database. Make a snapshot of the EC2 instance. Maintain the EC2 instance in a stopped state until the data is needed for reports.
  C. Create a database backup on premises. Use AWS DataSync to transfer the data to Amazon S3. Create an S3 Lifecycle configuration to move the data to S3 Glacier Deep Archive. Restore the backup to Amazon EC2 instances to run reports.
  D. Use AWS Database Migration Service (AWS DMS) to migrate the on-premises databases to Amazon S3 in Apache Parquet format. Store the data in S3 Glacier Flexible Retrieval. Use Amazon Athena to run reports.
  D. Use AWS Database Migration Service (AWS DMS) to migrate the on-premises databases to Amazon S3 in Apache Parquet format. Store the data in S3 Glacier Flexible Retrieval. Use Amazon Athena to run reports.

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  Explanation

  Amazon S3 is the most cost-effective option for archiving data. Using AWS DMS to migrate to S3 in Apache Parquet format provides an optimized columnar format for analytics. By storing in S3 Glacier Flexible Retrieval, costs are minimized while maintaining compliance with retention. When queries are required, Athena can run SQL queries directly on archived data in S3 without provisioning infrastructure.

  Options A and B rely on maintaining RDS or EC2 instances, which increases cost and operational overhead. Option C requires full restores to EC2 before running queries, which is slow and inefficient.

  Therefore, D provides the lowest operational overhead and direct query capability with Athena.

  References:

  ?

  AWS DMS Documentation -- Migrating databases to Amazon S3 in Parquet format?Amazon Athena User Guide -- Querying data stored in S3?AWS Well-Architected Framework -- Cost Optimization Pillar

• Question 647:

  A company's dynamic website is hosted using on-premises servers in the United States. The company is launching its product in Europe, and it wants to optimize site loading times for new European users. The site's backend must remain in the United States. The product is being launched in a few days, and an immediate solution is needed.

  What should the solutions architect recommend?

  A. Launch an Amazon EC2 instance in us-east-1 and migrate the site to it.
  B. Move the website to Amazon S3. Use Cross-Region Replication between Regions.
  C. Use Amazon CloudFront with a custom origin pointing to the on-premises servers.
  D. Use an Amazon Route 53 geoproximity routing policy pointing to on-premises servers.
  C. Use Amazon CloudFront with a custom origin pointing to the on-premises servers.

• Question 648:

  A solutions architect is creating an application that will handle batch processing of large amounts of data.

  The input data will be held in Amazon S3 and the output data will be stored in a different S3 bucket. For processing, the application will transfer the data over the network between multiple Amazon EC2 instances.

  What should the solutions architect do to reduce the overall data transfer costs?

  A. Place all the EC2 instances in an Auto Scaling group.
  B. Place all the EC2 instances in the same AWS Region.
  C. Place all the EC2 instances in the same Availability Zone.
  D. Place all the EC2 instances in private subnets in multiple Availability Zones.
  C. Place all the EC2 instances in the same Availability Zone.

• Question 649:

  A company is launching a new gaming application. The company will use Amazon EC2 Auto Scaling groups to deploy the application. The application stores user data in a relational database.

  The company has office locations around the world that need to run analytics on the user data in the database. The company needs a cost-effective database solution that provides cross-Region disaster recovery with low-latency read performance across AWS Regions.

  Which solution will meet these requirements?

  A. Create an Amazon ElastiCache for Redis cluster in the Region where the application is deployed. Create read replicas in Regions where the company offices are located. Ensure the company offices read from the read replica instances.
  B. Create Amazon DynamoDB global tables. Deploy the tables to the Regions where the company offices are located and to the Region where the application is deployed. Ensure that each company office reads from the tables that are in the same Region as the office.
  C. Create an Amazon Aurora global database. Configure the primary cluster to be in the Region where the application is deployed. Configure the secondary Aurora replicas to be in the Regions where the company offices are located. Ensure the company offices read from the Aurora replicas.
  D. Create an Amazon RDS Multi-AZ DB cluster deployment in the Region where the application is deployed. Ensure the company offices read from read replica instances.
  A. Create an Amazon ElastiCache for Redis cluster in the Region where the application is deployed. Create read replicas in Regions where the company offices are located. Ensure the company offices read from the read replica instances.

• Question 650:

  A media company needs to migrate its Windows-based video editing environment to AWS. The company's current environment processes 4K video files that require sustained throughput of 2 GB per second across multiple concurrent users.

  The company's storage needs increase by 1 TB each week. The company needs a shared file system that supports SMB protocol and can scale automatically based on storage demands.

  Which solution will meet these requirements?

  A. Deploy an Amazon FSx for Windows File Server Multi-AZ file system with SSD storage.
  B. Deploy an Amazon Elastic File System (Amazon EFS) file system in Max I/O mode. Provision mount targets in multiple Availability Zones.
  C. Deploy an Amazon FSx for Lustre file system with a Persistent 2 deployment type. Provision the file system with 2 TB of storage.
  D. Deploy Amazon S3 File Gateway by using multiple cached gateway instances. Configure S3 Transfer Acceleration.
  A. Deploy an Amazon FSx for Windows File Server Multi-AZ file system with SSD storage.

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  Explanation

  The workload is Windows-based and requires a shared file system with SMB support and very high throughput for 4K video editing. Amazon FSx for Windows File Server is a fully managed, highly available native Windows file system that supports the SMB protocol, Active Directory integration, and can deliver high throughput and low latency suitable for media workloads.

  FSx for Windows File Server supports automatic storage scaling to grow file system capacity as data increases, matching the requirement of +1 TB per week with minimal admin effort.

  A Multi-AZ SSD deployment provides high availability and performance.

  Why others are not correct:

  Option B: Amazon EFS is NFS, not SMB, and is optimized for Linux clients, not Windows-based environments.

  Option C: FSx for Lustre is a high-performance POSIX file system typically used with Linux-based HPC workloads, not Windows + SMB.

  Option D: S3 File Gateway is not designed for sustained multi-GB/s shared-edit performance and adds additional complexity; it is more suited for backup/archival and limited shared file access.