Expert Answers to Amazon Web Services Exam SAA-C03 Questions

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AWS Certified Associate AWS Certified Solutions Architect - Associate (SAA-C03)

AWS Certified Solutions Architect - Associate (SAA-C03)

Last Update Jul 2, 2025
Total Questions : 1168

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Questions 2

A hospital recently deployed a RESTful API with Amazon API Gateway and AWS Lambda The hospital uses API Gateway and Lambda to upload reports that are in PDF format and JPEG format The hospital needs to modify the Lambda code to identify protected health information (PHI) in the reports

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

Options:

Use existing Python libraries to extract the text from the reports and to identify the PHI from the extracted text.

Use Amazon Textract to extract the text from the reports Use Amazon SageMaker to identify the PHI from the extracted text.

Use Amazon Textract to extract the text from the reports Use Amazon Comprehend Medical to identify the PHI from the extracted text

Use Amazon Rekognition to extract the text from the reports Use Amazon Comprehend Medical to identify the PHI from the extracted text

Discussion 0

Questions 3

A company has a web application that uses several web servers that run on Amazon EC2 instances. The instances use a shared Amazon RDS for MySQL database.

The company requires a secure method to store database credentials. The credentials must be automatically rotated every 30 days without affecting application availability.

Which solution will meet these requirements?

Options:

Store database credentials in AWS Secrets Manager. Create an AWS Lambda function to automatically rotate the credentials. Use Amazon EventBridge to run the Lambda function on a schedule. Grant the necessary IAM permissions to allow the web servers to access Secrets Manager.

Store database credentials in AWS Systems Manager OpsCenter. Grant the necessary IAM permissions to allow the web servers to access OpsCenter.

Store database credentials in an Amazon S3 bucket. Create an AWS Lambda function to automatically rotate the credentials. Use Amazon EventBridge to run the Lambda function on a schedule. Grant the necessary IAM permissions to allow the web servers to retrieve credentials from the S3 bucket.

Store the credentials in a local file on each of the web servers. Use an AWS KMS key to encrypt the credentials. Create a cron job on each server to rotate the credentials every 30 days.

Discussion 0

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Questions 4

A company is designing an application where users upload small files into Amazon S3. After a user uploads a file, the file requires one-time simple processing to transform the data and save the data in JSON format for later analysis.

Each file must be processed as quickly as possible after it is uploaded. Demand will vary. On some days, users will upload a high number of files. On other days, users will upload a few files or no files.

Which solution meets these requirements with the LEAST operational overhead?

Options:

Configure Amazon EMR to read text files from Amazon S3. Run processing scripts to transform the data. Store the resulting JSON file in an Amazon Aurora DB cluster.

Configure Amazon S3 to send an event notification to an Amazon Simple Queue Service (Amazon SQS) queue. Use Amazon EC2 instances to read from the queue and process the data. Store the resulting JSON file in Amazon DynamoD

Configure Amazon S3 to send an event notification to an Amazon Simple Queue Service (Amazon SQS) queue. Use an AWS Lambda function to read from the queue and process the data. Store the resulting JSON file in Amazon DynamoDB. Most Voted

Configure Amazon EventBridge (Amazon CloudWatch Events) to send an event to Amazon Kinesis Data Streams when a new file is uploaded. Use an AWS Lambda function to consume the event from the stream and process the data. Store the resulting JSON file in Amazon Aurora DB cluster.

Discussion 0

Questions 5

A company that uses AWS needs a solution to predict the resources needed for manufacturing processes each month. The solution must use historical values that are currently stored in an Amazon S3 bucket The company has no machine learning (ML) experience and wants to use a managed service for the training and predictions.

Which combination of steps will meet these requirements? (Select TWO.)

Options:

Deploy an Amazon SageMaker model. Create a SageMaker endpoint for inference.

Use Amazon SageMaker to train a model by using the historical data in the S3 bucket.

Configure an AWS Lambda function with a function URL that uses Amazon SageMaker endpoints to create predictions based on the inputs.

Configure an AWS Lambda function with a function URL that uses an Amazon Forecast predictor to create a prediction based on the inputs.

Train an Amazon Forecast predictor by using the historical data in the S3 bucket.

Discussion 0

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