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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:
879
Last Updated:
Apr 22, 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 wants to protect resources that the company hosts on AWS, including Application Load Balancers and Amazon CloudFront distributions.

The company wants an AWS service that can provide near real-time visibility into attacks on the company ' s resources. The service must also have a dedicated AWS team to assist with DDoS attacks.

Which AWS service will meet these requirements?

Options:

A.

AWS WAF

B.

AWS Shield Standard

C.

Amazon Macie

D.

AWS Shield Advanced

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Question 2

A healthcare provider is planning to store patient data on AWS as PDF files. To comply with regulations, the company must encrypt the data and store the files in multiple locations. The data must be available for immediate access from any environment.

Options:

A.

Store the files in an Amazon S3 bucket. Use the Standard storage class. Enable server-side encryption with Amazon S3 managed keys (SSE-S3) on the bucket. Configure cross-Region replication on the bucket.

B.

Store the files in an Amazon Elastic File System (Amazon EFS) volume. Use an AWS KMS managed key to encrypt the EFS volume. Use AWS DataSync to replicate the EFS volume to a second AWS Region.

C.

Store the files in an Amazon Elastic Block Store (Amazon EBS) volume. Configure AWS Backup to back up the volume on a regular schedule. Use an AWS KMS key to encrypt the backups.

D.

Store the files in an Amazon S3 bucket. Use the S3 Glacier Flexible Retrieval storage class. Ensure that all PDF files are encrypted by using client-side encryption before the files are uploaded. Configure cross-Region replication on the bucket.

Question 3

A company needs a solution to ingest streaming sensor data from 100,000 devices, transform the data in near real time, and load the data into Amazon S3 for analysis. The solution must be fully managed, scalable, and maintain sub-second ingestion latency.

Options:

A.

Use Amazon Kinesis Data Streams to ingest the data. Use Amazon Managed Service for Apache Flink to process the data in near real time. Use an Amazon Data Firehose stream to send processed data to Amazon S3.

B.

Use Amazon Simple Queue Service (Amazon SQS) standard queues to collect the sensor data. Invoke AWS Lambda functions to transform and process SQS messages in batches. Configure the Lambda functions to use an AWS SDK to write transformed data to Amazon S3.

C.

Deploy a fleet of Amazon EC2 instances that run Apache Kafka to ingest the data. Run Apache Spark on Amazon EMR clusters to process the data. Configure Spark to write processed data directly to Amazon S3.

D.

Implement Amazon EventBridge to capture all sensor data. Use AWS Batch to run containerized transformation jobs on a schedule. Configure AWS Batch jobs to process data in chunks. Save results to Amazon S3.