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Amazon Web Services Updated SAA-C03 Exam Questions and Answers by kyla

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Amazon Web Services SAA-C03 Exam Overview :

Exam Name: AWS Certified Solutions Architect - Associate (SAA-C03)
Exam Code: SAA-C03 Dumps
Vendor: Amazon Web Services Certification: AWS Certified Associate
Questions: 1039 Q&A's Shared By: kyla
Question 112

A solutions architect is designing a web application that will run on Amazon EC2 instances behind an Application Load Balancer (ALB). The company strictly requires that the application be resilient against malicious internet activity and attacks, and protect against new common vulnerabilities and exposures.

What should the solutions architect recommend?

Options:

A.

Leverage Amazon CloudFront with the ALB endpoint as the origin.

B.

Deploy an appropriate managed rule for AWS WAF and associate it with the ALB.

C.

Subscribe to AWS Shield Advanced and ensure common vulnerabilities and exposures are blocked.

D.

Configure network ACLs and security groups to allow only ports 80 and 443 to access the EC2 instances.

Discussion
Question 113

A company is migrating a daily Microsoft Windows batch job from the company's on-premises environment to AWS. The current batch job runs for up to 1 hour. The company wants to modernize the batch job process for the cloud environment.

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

Options:

A.

Create a fleet of Amazon EC2 instances in an Auto Scaling group to handle the Windows batch job processing.

B.

Implement an AWS Lambda function to process the Windows batch job. Use an Amazon EventBridge rule to invoke the Lambda function.

C.

Use AWS Fargate to deploy the Windows batch job as a container. Use AWS Batch to manage the batch job processing.

D.

Use Amazon Elastic Kubernetes Service (Amazon EKS) on Amazon EC2 instances to orchestrate Windows containers for the batch job processing.

Discussion
Question 114

A company has a large fleet of vehicles that are equipped with internet connectivity to send telemetry to the company. The company receives over 1 million data points every 5 minutes from the vehicles. The company uses the data in machine learning (ML) applications to predict vehicle maintenance needs and to preorder parts. The company produces visual reports based on the captured data. The company wants to migrate the telemetry ingestion, processing, and visualization workloads to AWS. Which solution will meet these requirements?

Options:

A.

Use Amazon Timestream for LiveAnalytics to store the data points. Grant Amazon SageMaker permission to access the data for processing. Use Amazon QuickSight to visualize the data.

B.

Use Amazon DynamoDB to store the data points. Use DynamoDB Connector to ingest data from DynamoDB into Amazon EMR for processing. Use Amazon QuickSight to visualize the data.

C.

Use Amazon Neptune to store the data points. Use Amazon Kinesis Data Streams to ingest data from Neptune into an AWS Lambda function for processing. Use Amazon QuickSight to visualize the data.

D.

Use Amazon Timestream to for LiveAnalytics to store the data points. Grant Amazon SageMaker permission to access the data for processing. Use Amazon Athena to visualize the data.

Discussion
Question 115

A company has a website that handles dynamic traffic loads. The website architecture is based on Amazon EC2 instances in an Auto Scaling group that is configured to use scheduled scaling. Each EC2 instance runs code from an Amazon Elastic File System (Amazon EFS) volume and stores shared data back to the same volume.

The company wants to optimize costs for the website.

Which solution will meet this requirement?

Options:

A.

Reconfigure the Auto Scaling group to set a desired number of instances. Turn off scheduled scaling.

B.

Create a new launch template version for the Auto Scaling group that uses larger EC2 instances.

C.

Reconfigure the Auto Scaling group to use a target tracking scaling policy.

D.

Replace the EFS volume with instance store volumes.

Discussion
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