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SAA-C03 Exam Questions Tutorials

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Total 649 questions
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AWS Certified Solutions Architect - Associate (SAA-C03) Questions and Answers

Question 89

A company needs a solution to integrate transaction data from several Amazon DynamoDB tables into an existing Amazon Redshift data warehouse. The solution must maintain the provisioned throughput of DynamoDB.

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

Options:

A.

Create an Amazon S3 bucket. Configure DynamoDB to export to the bucket on a regular schedule. Use an Amazon Redshift COPY command to read from the S3 bucket.

B.

Use an Amazon Redshift COPY command to read directly from each DynamoDB table.

C.

Create an Amazon S3 bucket. Configure an AWS Lambda function to read from the DynamoDB tables and write to the S3 bucket on a regular schedule. Use Amazon Redshift Spectrum to access the data in the S3 bucket.

D.

Use Amazon Athena Federated Query with a DynamoDB connector and an Amazon Redshift connector to read directly from the DynamoDB tables.

Question 90

A media company hosts a web application on AWS. The application gives users the ability to upload and view videos. The application stores the videos in an Amazon S3 bucket. The company wants to ensure that only authenticated users can upload videos. Authenticated users must have the ability to upload videos only within a specified time frame after authentication. Which solution will meet these requirements with the LEAST operational overhead?

Options:

A.

Configure the application to generate IAM temporary security credentials for authenticated users.

B.

Create an AWS Lambda function that generates pre-signed URLs when a user authenticates.

C.

Develop a custom authentication service that integrates with Amazon Cognito to control and log direct S3 bucket access through the application.

D.

Use AWS Security Token Service (AWS STS) to assume a pre-defined IAM role that grants authenticated users temporary permissions to upload videos directly to the S3 bucket.

Question 91

A solutions architect is investigating compute options for a critical analytics application. The application uses long-running processes to prepare and aggregate data. The processes cannot be interrupted. The application has a known baseline load. The application needs to handle occasional usage surges.

Which solution will meet these requirements MOST cost-effectively?

Options:

A.

Create an Amazon EC2 Auto Scaling group. Set the Min capacity and Desired capacity parameters to the number of instances required to handle the baseline load. Purchase Reserved Instances for the Auto Scaling group.

B.

Create an Amazon EC2 Auto Scaling group. Set the Min capacity, Max capacity, and Desired capacity parameters to the number of instances required to handle the baseline load. Use On-Demand Instances to address occasional usage surges.

C.

Create an Amazon EC2 Auto Scaling group. Set the Min capacity and Desired capacity parameters to the number of instances required to handle the baseline load. Purchase Reserved Instances for the Auto Scaling group. Use the OnDemandPercentageAboveBaseCapacity parameter to configure the launch template to launch Spot Instances.

D.

Re-architect the application to use AWS Lambda functions instead of Amazon EC2 instances. Purchase a one-year Compute Savings Plan to reduce the cost of Lambda usage.

Question 92

A solutions architect is designing the cloud architecture for a new stateless application that will be deployed on AWS. The solutions architect created an Amazon Machine Image (AMI) and launch template for the application.

Based on the number of jobs that need to be processed, the processing must run in parallel while adding and removing application Amazon EC2 instances as needed. The application must be loosely coupled. The job items must be durably stored.

Which solution will meet these requirements?

Options:

A.

Create an Amazon Simple Notification Service (Amazon SNS) topic to send the jobs that need to be processed. Create an Auto Scaling group by using the launch template with the scaling policy set to add and remove EC2 instances based on CPU usage.

B.

Create an Amazon Simple Queue Service (Amazon SQS) queue to hold the jobs that need to be processed. Create an Auto Scaling group by using the launch template with the scaling policy set to add and remove EC2 instances based on network usage.

C.

Create an Amazon Simple Queue Service (Amazon SQS) queue to hold the jobs that need to be processed. Create an Auto Scaling group by using the launch template with the scaling policy set to add and remove EC2 instances based on the number of items in the SQS queue.

D.

Create an Amazon Simple Notification Service (Amazon SNS) topic to send the jobs that need to be processed. Create an Auto Scaling group by using the launch template with the scaling policy set to add and remove EC2 instances based on the number of messages published to the SNS topic.

Page: 23 / 49
Total 649 questions
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