[Oct 22, 2026] SAA-C03 Exam Dumps – 100% Marks In SAA-C03 Exam! [Q552-Q569]

NO.552 [Design Secure Architectures]
A company creates operations data and stores the data in an Amazon S3 bucket for the company’s annual audit, an external consultant needs to access an annual report that is stored in the S3 bucket. The external consultant needs to access the report for 7 days.
The company must implement a solution to allow the external consultant access to only the report.
Which solution will meet these requirements with the MOST operational efficiency?

Create a new S3 bucket that is configured to host a public static website. Migrate the operations data to the new S3 bucket. Share the S3 website URL with the external consultant.

Enable public access to the S3 bucket for 7 days. Remove access to the S3 bucket when the external consultant completes the audit.

Create a new IAM user that has access to the report in the S3 bucket. Provide the access keys to the external consultant. Revoke the access keys after 7 days.

Generate a presigned URL that has the required access to the location of the report on the S3 bucket. Share the presigned URL with the external consultant.

NO.553 A company collects data from a large number of participants who use wearabledevices.The company stores the data in an Amazon DynamoDB table and uses applications to analyze the data. The data workload is constant and predictable. The company wants to stay at or below its forecasted budget for DynamoDB.
Whihc solution will meet these requirements MOST cost-effectively?

Use provisioned mode and DynamoDB Standard-Infrequent Access (DynamoDB Standard-IA). Reserve capacity for the forecasted workload.

Use provisioned mode Specify the read capacity units (RCUs) and write capacity units (WCUs).

Use on-demand mode. Set the read capacity unite (RCUs) and write capacity units (WCUs) high enough to accommodate changes in the workload.

Use on-demand mode. Specify the read capacity units (RCUs) and write capacity units (WCUs) with reserved capacity.

Explanation
This option is the most efficient because it uses provisioned mode, which is a read/write capacity mode for processing reads and writes on your tables that lets you specify how much read and write throughput you expect your application to perform1. It also specifies the read capacity units (RCUs) and write capacity units (WCUs), which are the amount of data your application needs to read or write per second. It also meets the requirement of staying at or below its forecasted budget for DynamoDB, as provisioned mode has lower costs than on-demand mode for predictable workloads. This solution meets the requirement of collecting data from a large number of participants who use wearable devices with a constant and predictable data workload. Option A is less efficient because it uses provisioned mode and DynamoDB Standard-Infrequent Access (DynamoDB Standard-IA), which is a storage class for infrequently accessed items that require milliseconds latency2.
However, this does not meet the requirement of collecting data from a large number of participants who use wearable devices with a constant and predictable data workload, as DynamoDB Standard-IA is more suitable for items that are accessed less frequently than once every 30 days. Option C is less efficient because it uses on-demand mode, which is a read/write capacity mode that lets you pay only for what you use by automatically adjusting your table’s capacity in response to changing demand3. However, this does not meet the requirement of staying at or below its forecasted budget for DynamoDB, as on-demand mode has higher costs than provisioned mode for predictable workloads. Option D is less efficient because it uses on-demand mode and specifies the RCUs and WCUs with reserved capacity, which is a way to reserve read and write capacity for your tables in exchange for discounted hourly rates. However, this does not meet the requirement of staying at or below its forecasted budget for DynamoDB, as on-demand mode has higher costs than provisioned mode for predictable workloads. Also, specifying RCUs and WCUs with reserved capacity is not possible with on-demand mode, as it only applies to provisioned mode.

NO.554 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?

Create a cross-Region read replica and promote the read replica to the primary instance

Use AWS Database Migration Service (AWS DMS) to create RDS cross-Region replication.

Use cross-Region replication every 24 hours to copy native backups to an Amazon S3 bucket

Copy automatic snapshots to another Region every 24 hours.

NO.555 A company’s HTTP application is behind a Network Load Balancer (NLB). The NLB’s target group is configured to use an Amazon EC2 Auto Scaling group with multiple EC2 instances that run the web service.
The company notices that the NLB is not detecting HTTP errors for the application. These errors require a manual restart of the EC2 instances that run the web service. The company needs to improve the application’s availability without writing custom scripts or code.
What should a solutions architect do to meet these requirements?

Enable HTTP health checks on the NL supplying the URL of the company’s application.

Add a cron job to the EC2 instances to check the local application’s logs once each minute. If HTTP errors are detected, the application will restart.

Create an Amazon Cloud Watch alarm that monitors the UnhealthyHostCount metric for the NLConfigure an Auto Scaling action to replace unhealthy instances when the alarm is in the ALARM state.

Replace the NLB with an Application Load Balancer. Enable HTTP health checks by supplying the URL of the company’s application. Configure an Auto Scaling action to replace unhealthy instances.

NO.556 A company is building a serverless application to process large video files that users upload. The application performs multiple tasks to process each video file. Processing can take up to 30 minutes for the largest files. The company needs a scalable architecture to support the processing application. Which solution will meet these requirements?

Store the uploaded video files in Amazon Elastic File System (Amazon EFS). Configure a schedule in Amazon EventBridge Scheduler to invoke an AWS Lambda function periodically to check for new files. Configure the Lambda function to perform all the processing tasks.

Store the uploaded video files in Amazon Elastic File System (Amazon EFS). Configure an Amazon EFS event notification to start an AWS Step Functions workflow that uses AWS Fargate tasks to perform the processing tasks.

Store the uploaded video files in Amazon S3. Configure an Amazon S3 event notification to send an event to Amazon EventBridge when a user uploads a new video file. Configure an AWS Step Functions workflow as a target for an EventBridge rule. Use the workflow to manage AWS Fargate tasks to perform the processing tasks.

Store the uploaded video files in Amazon S3. Configure an Amazon S3 event notification to invoke an AWS Lambda function when a user uploads a new video file. Configure the Lambda function to perform all the processing tasks.

NO.557 A solutions architect needs to implement a solution that can handle up to 5,000 messages per second. The solution must publish messages as events to multiple consumers. The messages are up to 500 KB in size. The message consumers need to have the ability to use multiple programming languages to consume the messages with minimal latency. The solution must retain published messages for more than 3 months. The solution must enforce strict ordering of the messages.

Publish messages to an Amazon Kinesis Data Streams data stream. Enable enhanced fan-out. Ensure that consumers ingest the data stream by using dedicated throughput.

Publish messages to an Amazon Simple Notification Service (Amazon SNS) topic. Ensure that consumers use an Amazon Simple Queue Service (Amazon SQS) FIFO queue to subscribe to the topic.

Publish messages to Amazon EventBridge. Allow each consumer to create rules to deliver messages to the consumer’s own target.

Publish messages to an Amazon Simple Notification Service (Amazon SNS) topic. Ensure that consumers use Amazon Data Firehose to subscribe to the topic.

NO.558 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?

Stop the DB instance when tests are completed. Restart the DB instance when required.

Use an Auto Scaling policy with the DB instance to automatically scale when tests are completed.

Create a snapshot when tests are completed. Terminate the DB instance and restore the snapshot when required.

Modify the DB instance to a low-capacity instance when tests are completed. Modify the DB instance again when required.

NO.559 A company hosts a three-tier ecommerce application on a fleet of Amazon EC2 instances. The instances run in an Auto Scaling group behind an Application Load Balancer (ALB) All ecommerce data is stored in an Amazon RDS for ManaDB Multi-AZ DB instance The company wants to optimize customer session management during transactions The application must store session data durably Which solutions will meet these requirements? (Select TWO )

Turn on the sticky sessions feature (session affinity) on the ALB

Use an Amazon DynamoDB table to store customer session information

Deploy an Amazon Cognito user pool to manage user session information

Deploy an Amazon ElastiCache for Redis cluster to store customer session information

Use AWS Systems Manager Application Manager in the application to manage user session information

NO.560 A company recently announced the deployment of its retail website to a global audience. The website runs on multiple Amazon EC2 instances behind an Elastic Load Balancer. The instances run in an Auto Scaling group across multiple Availability Zones.
The company wants to provide its customers with different versions of content based on the devices that the customers use to access the website.
Which combination of actions should a solutions architect take to meet these requirements? (Choose two.)

Configure Amazon CloudFront to cache multiple versions of the content.

Configure a host header in a Network Load Balancer to forward traffic to different instances.

Configure a Lambda@Edge function to send specific objects to users based on the User-Agent header.

Configure AWS Global Accelerator. Forward requests to a Network Load Balancer (NLB). Configure the NLB to set up host-based routing to different EC2 instances.

Configure AWS Global Accelerator. Forward requests to a Network Load Balancer (NLB). Configure the NLB to set up path-based routing to different EC2 instances.

NO.561 A company is building a web application. The company needs a load balancing solution that supports HTTPS header-based routing. The company’s security team also requires a rules-based method of blocking specific incoming requests to decrease the effects of malicious activity.
Which solution will meet these requirements?

Create an Application Load Balancer (ALB). Configure an HTTPS listener with mutual TLS enabled.

Create an Application Load Balancer (ALB). Integrate the ALB with AWS WAF. Configure the security team’s required rules.

Create an Application Load Balancer (ALB). Integrate the ALB with AWS Config. Apply custom rules to all ALB resources.

Create a Network Load Balancer (NLB). Configure AWS Network Firewall with the security team’s required rules.

NO.562 [Design High-Performing Architectures]
A company has an application that customers use to upload images to an Amazon S3 bucket Each night, the company launches an Amazon EC2 Spot Fleet that processes all the images that the company received that day. The processing for each image takes 2 minutes and requires 512 MB of memory.
A solutions architect needs to change the application to process the images when the images are uploaded Which change will meet these requirements MOST cost-effectively?

Use S3 Event Notifications to write a message with image details to an Amazon Simple Queue Service (Amazon SQS) queue. Configure an AWS Lambda function to read the messages from the queue and to process the images

Use S3 Event Notifications to write a message with image details to an Amazon Simple Queue Service (Amazon SQS) queue Configure an EC2 Reserved Instance to read the messages from the queue and to process the images.

Use S3 Event Notifications to publish a message with image details to an Amazon Simple Notification Service (Amazon SNS) topic. Configure a container instance in Amazon Elastic Container Service (Amazon ECS) to subscribe to the topic and to process the images.

Use S3 Event Notifications to publish a message with image details to an Amazon Simple Notification Service (Amazon SNS) topic. to subscribe to the topic and to process the images.

NO.563 An analytics company uses Amazon VPC to run its multi-tier services. The company wants to use RESTful APIs to offer a web analytics service to millions of users. Users must be verified by using an authentication service to access the APIs.
Which solution will meet these requirements with the MOST operational efficiency?

Configure an Amazon Cognito user pool for user authentication. Implement Amazon API Gateway REST APIs with a Cognito authorizer.

Configure an Amazon Cognito identity pool for user authentication. Implement Amazon API Gateway HTTP APIs with a Cognito authorizer.

Configure an AWS Lambda function to handle user authentication. Implement Amazon API Gateway REST APIs with a Lambda authorizer.

Configure an 1AM user to handle user authentication. Implement Amazon API Gateway HTTP APIs with an 1AM authorizer.

NO.564 A solutions architect is designing a multi-tier application for a company. The application’s users upload images from a mobile device. The application generates a thumbnail of each image and returns a message to the user to confirm that the image was uploaded successfully.
The thumbnail generation can take up to 60 seconds, but the company wants to provide a faster response time to its users to notify them that the original image was received. The solutions architect must design the application to asynchronously dispatch requests to the different application tiers.
What should the solutions architect do to meet these requirements?

Write a custom AWS Lambda function to generate the thumbnail and alert the user. Use the image upload process as an event source to invoke the Lambda function.

Create an AWS Step Functions workflow Configure Step Functions to handle the orchestration between the application tiers and alert the user when thumbnail generation is complete

Create an Amazon Simple Queue Service (Amazon SQS) message queue. As images are uploaded, place a message on the SQS queue for thumbnail generation. Alert the user through an application message that the image was received

Create Amazon Simple Notification Service (Amazon SNS) notification topics and subscriptions Use one subscription with the application to generate the thumbnail after the image upload is complete. Use a second subscription to message the user’s mobile app by way of a push notification after thumbnail generation is complete.

This option is the most efficient because it uses Amazon SQS, which is a fully managed message queuing service that lets you send, store, and receive messages between software components at any volume, without losing messages or requiring other services to be available1. It also uses an SQS message queue to asynchronously dispatch requests to the different application tiers, which decouples the image upload process from the thumbnail generation process and enables scalability and reliability. It also alerts the user through an application message that the image was received, which provides a faster response time to the user than waiting for the thumbnail generation to complete. Option A is less efficient because it uses a custom AWS Lambda function to generate the thumbnail and alert the user, which is a way to run code without provisioning or managing servers. However, this does not use an asynchronous dispatch mechanism to separate the image upload process from the thumbnail generation process. It also uses the image upload process as an event source to invoke the Lambda function, which could cause concurrency issues if there are many images uploaded at once. Option B is less efficient because it uses AWS Step Functions, which is a fully managed service that provides a graphical console to arrange and visualize the components of your application as a series of steps2. However, this does not use an asynchronous dispatch mechanism to separate the image upload process from the thumbnail generation process. It also uses Step Functions to handle the orchestration between the application tiers and alert the user when thumbnail generation is complete, which could introduce additional complexity and latency. Option D is less efficient because it uses Amazon SNS, which is a fully managed messaging service that enables you to send messages or notifications directly to users with SMS text messages or email3. However, this does not use an asynchronous dispatch mechanism to separate the image upload process from the thumbnail generation process. It also uses SNS notification topics and subscriptions to generate the thumbnail after the image upload is complete and message the user’s mobile app by way of a push notification after thumbnail generation is complete, which could introduce additional complexity and latency.

NO.565 A company hosts an online order-processing application on Amazon EC2 instances. The instances are part of an EC2 Auto Scaling group that spans multiple Availability Zones and uses a scheduled scaling policy. The application uses Amazon RDS for MySQL as its database.
Although the database is write-heavy, Amazon CloudWatch metrics do not show any problems during peak usage periods. However, application users randomly experience slow responses when creating new orders.
Which solution will improve the application’s response time without changing the application design or infrastructure?

Replace the EC2 instances with EC2 Dedicated Hosts in a cluster placement group.

Migrate the database from Amazon RDS for MySQL to Amazon DynamoDB.

Change the Auto Scaling policy from scheduled scaling to target tracking.

Deploy an Amazon ElastiCache for Memcached cluster in front of the database.

NO.566 A company tracks customer satisfaction by using surveys that the company hosts on its website. The surveys sometimes reach thousands of customers every hour. Survey results are currently sent in email messages to the company so company employees can manually review results and assess customer sentiment.
The company wants to automate the customer survey process. Survey results must be available for the previous 12 months.
Which solution will meet these requirements in the MOST scalable way?

Send the survey results data to an Amazon API Gateway endpoint that is connected to an Amazon Simple Queue Service (Amazon SQS) queue. Create an AWS Lambda function to poll the SQS queue, call Amazon Comprehend for sentiment analysis, and save the results to an Amazon DynamoDB table.
Set the TTL for all records to 365 days in the future.

Send the survey results data to an API that is running on an Amazon EC2 instance. Configure the API to store the survey results as a new record in an Amazon DynamoDB table, call Amazon Comprehend for sentiment analysis, and save the results in a second DynamoDB table. Set the TTL for all records to
365 days in the future.

Write the survey results data to an Amazon S3 bucket. Use S3 Event Notifications to invoke an AWS Lambda function to read the data and call Amazon Rekognition for sentiment analysis. Store the sentiment analysis results in a second S3 bucket. Use S3 Lifecycle policies on each bucket to expire objects after 365 days.

Send the survey results data to an Amazon API Gateway endpoint that is connected to an Amazon Simple Queue Service (Amazon SQS) queue. Configure the SQS queue to invoke an AWS Lambda function that calls Amazon Lex for sentiment analysis and saves the results to an Amazon DynamoDB table. Set the TTL for all records to 365 days in the future.

NO.567 A company has an application that delivers on-demand training videos to students around the world. The application also allows authorized content developers to upload videos. The data is stored in an Amazon S3 bucket in the us-east-2 Region.
The company has created an S3 bucket in the eu-west-2 Region and an S3 bucket in the ap-southeast-1 Region. The company wants to replicate the data to the new S3 buckets. The company needs to minimize latency for developers who upload videos and students who stream videos near eu-west-2 and ap-southeast-1.
Which combination of steps will meet these requirements with the FEWEST changes to the application? (Select TWO.)

Configure one-way replication from the us-east-2 S3 bucket to the eu-west-2 S3 bucket. Configure one-way replication from the us-east-2 S3 bucket to the ap-southeast-1 S3 bucket.

Configure one-way replication from the us-east-2 S3 bucket to the eu-west-2 S3 bucket. Configure one-way replication from the eu-west-2 S3 bucket to the ap-southeast-1 S3 bucket.

Configure two-way (bidirectional) replication among the S3 buckets that are in all three Regions.

Create an S3 Multi-Region Access Point. Modify the application to use the Amazon Resource Name (ARN) of the Multi-Region Access Point for video streaming. Do not modify the application for video uploads.

Create an S3 Multi-Region Access Point Modify the application to use the Amazon Resource Name (ARN) of the Multi-Region Access Point for video streaming and uploads.

NO.568 A company plans to deploy a Docker-based batch application in AWS. The application will be used to process both mission-critical data as well as non-essential batch jobs.
Which of the following is the most cost-effective option to use in implementing this architecture?

Use ECS as the container management service then set up Reserved EC2 Instances for processing both mission-critical and non-essential batch jobs.

Use ECS as the container management service then set up On-Demand EC2 Instances for processing both mission-critical and non-essential batch jobs.

Use ECS as the container management service then set up a combination of Reserved and Spot EC2 Instances for processing mission-critical and non-essential batch jobs respectively.

Use ECS as the container management service then set up Spot EC2 Instances for processing both mission-critical and non-essential batch jobs.

Amazon ECS lets you run batch workloads with managed or custom schedulers on Amazon EC2 On- Demand Instances, Reserved Instances, or Spot Instances. You can launch a combination of EC2 instances to set up a cost-effective architecture depending on your workload. You can launch Reserved EC2 instances to process the mission-critical data and Spot EC2 instances for processing non-essential batch jobs.
There are two different charge models for Amazon Elastic Container Service (ECS): Fargate Launch Type Model and EC2 Launch Type Model. With Fargate, you pay for the amount of vCPU and memory resources that your containerized application requests while for EC2 launch type model, there is no additional charge. You pay for AWS resources (e.g. EC2 instances or EBS volumes) you create to store and run your application. You only pay for what you use, as you use it; there are no minimum fees and no upfront commitments.

In this scenario, the most cost-effective solution is to use ECS as the container management service then set up a combination of Reserved and Spot EC2 Instances for processing mission-critical and non- essential batch jobs respectively. You can use Scheduled Reserved Instances (Scheduled Instances) which enables you to purchase capacity reservations that recur on a daily, weekly, or monthly basis, with a specified start time and duration, for a one-year term. This will ensure that you have an uninterrupted compute capacity to process your mission-critical batch jobs.
Hence, the correct answer is the option that says: Use ECS as the container management service then set up a combination of Reserved and Spot EC2 Instances for processing mission-critical and non- essential batch jobs respectively.
Using ECS as the container management service then setting up Reserved EC2 Instances for processing both mission-critical and non-essential batch jobs is incorrect because processing the non- essential batch jobs can be handled much cheaper by using Spot EC2 instances instead of Reserved Instances.
Using ECS as the container management service then setting up On-Demand EC2 Instances for processing both mission-critical and non-essential batch jobs is incorrect because an On-Demand instance costs more compared to Reserved and Spot EC2 instances. Processing the non-essential batch jobs can be handled much cheaper by using Spot EC2 instances instead of On-Demand instances.
Using ECS as the container management service then setting up Spot EC2 Instances for processing both mission-critical and non-essential batch jobs is incorrect because although this set up provides the cheapest solution among other options, it will not be able to meet the required workload. Using Spot instances to process mission-critical workloads is not suitable since these types of instances can be terminated by AWS at any time, which can affect critical processing. References:
https://docs.aws.amazon.com/AmazonECS/latest/developerguide/Welcome.html
https://aws.amazon.com/ec2/spot/containers-for-less/get-started/
Check out this Amazon ECS Cheat Sheet: https://tutorialsdojo.com/amazon-elastic-container-service- amazon-ecs/ AWS Container Services Overview:
https://www.youtube.com/watch?v=5QBgDX7O7pw

NO.569 An insurance company runs an application on premises to process contracts. The application processes jobs that are comprised of many tasks. The individual tasks run for up to 5 minutes.
Some jobs can take up to 24 hours in total to finish. If a task fails, the task must be reprocessed.
The company wants to migrate the application to AWS. The company will use Amazon S3 as part of the solution. The company wants to configure jobs to start automatically when a contract is uploaded to an S3 bucket. Which solution will meet these requirements?

Use AWS Lambda functions to process individual tasks. Create a primary Lambda function to handle the overall job processing by calling individual Lambda functions in sequence. Configure the S3 bucket to send an event notification to invoke the primary Lambda function to begin processing.

Use a state machine in AWS Step Functions to handle the overall contract processing job.
Configure the S3 bucket to send an event notification to Amazon EventBridge. Create a rule in Amazon EventBridge to target the state machine.

Use an AWS Batch job to handle the overall contract processing job. Configure the S3 bucket to send an event notification to initiate the Batch job.

Use an S3 event notification to notify an Amazon Simple Queue Service (Amazon SQS) queue when a contract is uploaded. Configure an AWS Lambda function to read messages from the queue and to run the contract processing job.

[Oct 22, 2026] SAA-C03 Exam Dumps – 100% Marks In SAA-C03 Exam! [Q552-Q569]

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