Spring Sale 70% Discount Offer - Ends in 0d 00h 00m 00s - Coupon code: save70

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:
758
Last Updated:
Apr 6, 2026
Exam Status:
Stable
Amazon Web Services SAA-C03

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

Are you worried about passing the Amazon Web Services SAA-C03 (AWS Certified Solutions Architect - Associate (SAA-C03)) exam? Download the most recent Amazon Web Services SAA-C03 braindumps with answers that are 100% real. After downloading the Amazon Web Services SAA-C03 exam dumps training , you can receive 99 days of free updates, making this website one of the best options to save additional money. In order to help you prepare for the Amazon Web Services SAA-C03 exam questions and verified answers by IT certified experts, CertsTopics has put together a complete collection of dumps questions and answers. To help you prepare and pass the Amazon Web Services SAA-C03 exam on your first attempt, we have compiled actual exam questions and their answers. 

Our (AWS Certified Solutions Architect - Associate (SAA-C03)) Study Materials are designed to meet the needs of thousands of candidates globally. A free sample of the CompTIA SAA-C03 test is available at CertsTopics. Before purchasing it, you can also see the Amazon Web Services SAA-C03 practice exam demo.

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

Question 1

A company wants to store a large amount of data as objects for analytics and long-term archiving. Resources from outside AWS need to access the data. The external resources need to access the data with unpredictable frequency. However, the external resource must have immediate access when necessary.

The company needs a cost-optimized solution that provides high durability and data security.

Which solution will meet these requirements?

Options:

A.

Store the data in Amazon S3 Standard. Apply S3 Lifecycle policies to transition older data to S3 Glacier Deep Archive.

B.

Store the data in Amazon S3 Intelligent-Tiering.

C.

Store the data in Amazon S3 Glacier Flexible Retrieval. Use expedited retrieval to provide immediate access when necessary.

D.

Store the data in Amazon Elastic File System (Amazon EFS) Infrequent Access (IA). Use lifecycle policies to archive older files.

Buy Now
Question 2

A solutions architect needs to optimize a large data analytics job that runs on an Amazon EMR cluster. The job takes 13 hours to finish. The cluster has multiple core nodes and worker nodes deployed on large, compute-optimized instances.

After reviewing EMR logs, the solutions architect discovers that several nodes are idle for more than 5 hours while the job is running. The solutions architect needs to optimize cluster performance.

Which solution will meet this requirement MOST cost-effectively?

Options:

A.

Increase the number of core nodes to ensure there is enough processing power to handle the analytics job without any idle time.

B.

Use the EMR managed scaling feature to automatically resize the cluster based on workload.

C.

Migrate the analytics job to a set of AWS Lambda functions. Configure reserved concurrency for the functions.

D.

Migrate the analytics job core nodes to a memory-optimized instance type to reduce the total job runtime.

Question 3

A company is planning to run an AI/ML workload on AWS. The company needs to train a model on a dataset that is in Amazon S3 Standard. A model training application requires multiple compute nodes and single-digit millisecond access to the data.

Which solution will meet these requirements in the MOST cost-effective way?

Options:

A.

Move the data to S3 Intelligent-Tiering. Point the model training application to S3 Intelligent-Tiering as the data source.

B.

Add partitions to the S3 bucket by adding random prefixes. Reconfigure the model training application to point to the new prefixes as the data source.

C.

Move the data to S3 Express One Zone. Point the model training application to S3 Express One Zone as the data source.

D.

Move the data to a General Purpose SSD (gp3) Amazon Elastic Block Store (Amazon EBS)volume attached to an Amazon EC2 instance. Point the model training application to the gp3 volume as the data source.