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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:
962
Last Updated:
Oct 15, 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

Question:

A company uses Apache Hadoop and Spark on-prem. The infrastructure is complex and not scalable. They want to reduce operational complexity but keep data processing on-premises.

Options:

Options:

A.

Use Site-to-Site VPN to access on-prem HDFS. Use Amazon EMR to process the data.

B.

Use AWS DataSync to connect to on-prem HDFS. Use Amazon EMR to process the data.

C.

Migrate to Amazon EMR on AWS Outposts.

D.

Use AWS Snowball to migrate data to S3. Use EMR to process.

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Question 2

A company runs its applications on both Amazon EKS clusters and on-premises Kubernetes clusters. The company wants to view all clusters and workloads from a central location.

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

Options:

A.

Use Amazon CloudWatch Container Insights to collect and group the cluster information.

B.

Use Amazon EKS Connector to register and connect all Kubernetes clusters.

C.

Use AWS Systems Manager to collect and view the cluster information.

D.

Use Amazon EKS Anywhere as the primary cluster to view the other clusters with native Kubernetes commands.

Question 3

A company has a serverless web application that is comprised of AWS Lambda functions. The application experiences spikes in traffic that cause increased latency because of cold starts. The company wants to improve the application ' s ability to handle traffic spikes and to minimize latency. The solution must optimize costs during periods when traffic is low.

Which solution will meet these requirements?

Options:

A.

Configure provisioned concurrency for the Lambda functions. Use AWS Application Auto Scaling to adjust the provisioned concurrency.

B.

Launch Amazon EC2 instances in an Auto Scaling group. Add a scheduled scaling policy to launch additional EC2 instances during peak traffic periods.

C.

Configure provisioned concurrency for the Lambda functions. Set a fixed concurrency level to handle the maximum expected traffic.

D.

Create a recurring schedule in Amazon EventBridge Scheduler. Use the schedule to invoke the Lambda functions periodically to warm the functions.