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Amazon Web Services SAA-C03 Exam With Confidence Using Practice Dumps

Exam Code:
SAA-C03
Exam Name:
AWS Certified Solutions Architect - Associate (SAA-C03)
Certification:
Questions:
649
Last Updated:
Feb 8, 2026
Exam Status:
Stable
Amazon Web Services SAA-C03

SAA-C03: AWS Certified Associate Exam 2025 Study Guide Pdf and Test Engine

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AWS Certified Solutions Architect - Associate (SAA-C03) Questions and Answers

Question 1

A company is designing a serverless application to process a large number of events within an AWS account. The application saves the events to a data warehouse for further analysis. The application sends incoming events to an Amazon SQS queue. Traffic between the application and the SQS queue must not use public IP addresses.

Options:

A.

Create a VPC endpoint for Amazon SQS. Set the queue policy to deny all access except from the VPC endpoint.

B.

Configure server-side encryption with SQS-managed keys (SSE-SQS).

C.

Configure AWS Security Token Service (AWS STS) to generate temporary credentials for resources that access the queue.

D.

Configure VPC Flow Logs to detect SQS traffic that leaves the VPC.

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Question 2

A solutions architect needs to build a log storage solution for a client. The client has an application that produces user activity logs that track user API calls to the application. The application typically produces 50 GB of logs each day. The client needs a storage solution that makes the logs available for occasional querying and analytics.

Options:

A.

Store user activity logs in an Amazon S3 bucket. Use Amazon Athena to perform queries and analytics.

B.

Store user activity logs in an Amazon OpenSearch Service cluster. Use OpenSearch Dashboards to perform queries and analytics.

C.

Store user activity logs in an Amazon RDS instance. Use an Open Database Connectivity (ODBC) connector to perform queries and analytics.

D.

Store user activity logs in an Amazon CloudWatch Logs log group. Use CloudWatch Logs Insights to perform queries and analytics.

Question 3

A company is developing a latency-sensitive application. Part of the application includes several AWS Lambda functions that need to initialize as quickly as possible. The Lambda functions are written in Java and contain initialization code outside the handlers to load libraries, initialize classes, and generate unique IDs.

Which solution will meet the startup performance requirement MOST cost-effectively?

Options:

A.

Move all the initialization code to the handlers for each Lambda function. Activate Lambda SnapStart for each Lambda function. Configure SnapStart to reference the $LATEST version of each Lambda function.

B.

Publish a version of each Lambda function. Create an alias for each Lambda function. Configure each alias to point to its corresponding version. Set up provisioned concurrency configuration for each Lambda function to point to the corresponding alias.

C.

Publish a version of each Lambda function. Set up a provisioned concurrency configuration for each Lambda function to point to the corresponding version. Activate Lambda SnapStart for the published versions of the Lambda functions.

D.

Update the Lambda functions to add a pre-snapshot hook. Move the code that generates unique IDs into the handlers. Publish a version of each Lambda function. Activate Lambda SnapStart for the published versions of the Lambda functions.