100% Free Amazon SAA-C03 Practice Test Questions

Question 1

An insurance company plans to implement a message filtering feature in their web application. To implement this solution, they need to create separate Amazon SQS queues for each type of quote request. The entire message processing should not exceed 24 hours.

As the Solutions Architect of the company, which of the following should you do to meet the above requirement?

A : Create a data stream in Amazon Kinesis Data Streams. Use the Amazon Kinesis Client Library to deliver all the records to the designated SQS queues based on the quote request type.

B : Create one Amazon SNS topic and configure the Amazon SQS queues to subscribe to the SNS topic. Publish the same messages to all SQS queues. Filter the messages in each queue based on the quote request type.

C : Create one Amazon SNS topic and configure the Amazon SQS queues to subscribe to the SNS topic. Set the filter policies in the SNS subscriptions to publish the message to the designated SQS queue based on its quote request type.

D : Create multiple Amazon SNS topics and configure the Amazon SQS queues to subscribe to the SNS topics. Publish the message to the designated SQS queue based on the quote request type.

Answer: C

Question 2

A company wants to analyze and generate reports to track the usage of its mobile app. The app is popular and has a global user base. The company uses a custom report building program to analyze application usage.

The program generates multiple reports during the last week of each month. The program takes less than 10 minutes to produce each report. The company rarely uses the program to generate reports outside of the last week of each month The company wants to generate reports in the least amount of time when the reports are requested.

Which solution will meet these requirements MOST cost-effectively?

A : Run the program by using Amazon EC2 On-Demand Instances. Create an Amazon EventBridge rule to start the EC2 instances when reports are requested. Run the EC2 instances continuously during the last week of each month.

B : Run the program in AWS Lambda. Create an Amazon EventBridge rule to run a Lambda function when reports are requested.

C : Run the program in Amazon Elastic Container Service (Amazon ECS). Schedule Amazon ECS to run the program when reports are requested.

D : Run the program by using Amazon EC2 Spot Instances. Create an Amazon EventBndge rule to start the EC2 instances when reports are requested. Run the EC2 instances continuously during the last week of each month.

Answer: B

Question 3

A company is designing a new application that uploads files to an Amazon S3 bucket. The uploadedfiles are processed to extract metadata.Processing must take less than 5 seconds. The volume and frequency of the uploads vary from a fewfiles each hour to hundreds of concurrent uploads.Which solution will meet these requirements MOST cost-effectively?

A : Configure AWS CloudTrail trails to log Amazon S3 API calls. Use AWS AppSync to process the files.

B : Configure a new object created S3 event notification within the bucket to invoke an AWS Lambda function to process the files.

C : Configure Amazon Kinesis Data Streams to deliver the files to the S3 bucket. Invoke an AWS Lambda function to process the files.

D : Deploy an Amazon EC2 instance. Create a script that lists all files in the S3 bucket and processes new files. Use a cron job that runs every minute to run the script.

Answer: B

Question 4

A company has a large amount of data in an Amazon DynamoDB table. A large batch of data is appended to the table once each day. The company wants a solution that will make all the existing and future data in DynamoDB available for analytics on a long-term basis. Which solution meets these requirements with the LEAST operational overhead?

A : Configure DynamoDB incremental exports to Amazon S3.

B : Configure Amazon DynamoDB Streams to write records to Amazon S3.

C : Configure Amazon EMR to copy DynamoDB data to Amazon S3.

D : Configure Amazon EMR to copy DynamoDB data to Hadoop Distributed File System (HDFS).

Answer: A

Question 5

A company is building a serverless application to process large video files that users upload. Theapplication performs multiple tasks to process each video file. Processing can take up to 30 minutesfor the largest files.The company needs a scalable architecture to support the processing application.Which solution will meet these requirements?

A : 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.

B : 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 8 perform the processing tasks.

C : 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.

D : 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.

Answer: C

Free Practice Amazon SAA-C03 Exam Questions 2025