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AWS Certified Associate SAA-C03 Exam Questions and Answers PDF

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Question 184

A company uses a legacy application to produce data in CSV format The legacy application stores the output data In Amazon S3 The company is deploying a new commercial off-the-shelf (COTS) application that can perform complex SQL queries to analyze data that is stored Amazon Redshift and Amazon S3 only However the COTS application cannot process the csv files that the legacy application produces The company cannot update the legacy application to produce data in another format The company needs to implement a solution so that the COTS application can use the data that the legacy applicator produces.

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

Options:

A.

Create a AWS Glue extract, transform, and load (ETL) job that runs on a schedule. Configure the ETL job to process the .csv files and store the processed data in Amazon Redshit.

B.

Develop a Python script that runs on Amazon EC2 instances to convert the. csv files to sql files invoke the Python script on cron schedule to store the output files in Amazon S3.

C.

Create an AWS Lambda function and an Amazon DynamoDB table. Use an S3 event to invoke the Lambda function. Configure the Lambda function to perform an extract transform, and load (ETL) job to process the .csv files and store the processed data in the DynamoDB table.

D.

Use Amazon EventBridge (Amazon CloudWatch Events) to launch an Amazon EMR cluster on a weekly schedule. Configure the EMR cluster to perform an extract, tractform, and load (ETL) job to process the .csv files and store the processed data in an Amazon Redshift table.

Question 185

A company hosts a three-tier ecommerce application on a fleet of Amazon EC2 instances. The instances run in an Auto Scaling group behind an Application Load Balancer (ALB) All ecommerce data is stored in an Amazon RDS for ManaDB Multi-AZ DB instance

The company wants to optimize customer session management during transactions The application must store session data durably

Which solutions will meet these requirements? (Select TWO )

Options:

A.

Turn on the sticky sessions feature (session affinity) on the ALB

B.

Use an Amazon DynamoDB table to store customer session information

C.

Deploy an Amazon Cognito user pool to manage user session information

D.

Deploy an Amazon ElastiCache for Redis cluster to store customer session information

E.

Use AWS Systems Manager Application Manager in the application to manage user session information

Question 186

A company hosts a web application on multiple Amazon EC2 instances The EC2 instances are in an Auto Scaling group that scales in response to user demand The company wants to optimize cost savings without making a long-term commitment

Which EC2 instance purchasing option should a solutions architect recommend to meet these requirements'?

Options:

A.

Dedicated Instances only

B.

On-Demand Instances only

C.

A mix of On-Demand instances and Spot Instances

D.

A mix of On-Demand instances and Reserved instances

Question 187

A company’s security team requests that network traffic be captured in VPC Flow Logs. The logs will be frequently accessed for 90 days and then accessed intermittently.

What should a solutions architect do to meet these requirements when configuring the logs?

Options:

A.

Use Amazon CloudWatch as the target. Set the CloudWatch log group with an expiration of 90 days

B.

Use Amazon Kinesis as the target. Configure the Kinesis stream to always retain the logs for 90 days.

C.

Use AWS CloudTrail as the target. Configure CloudTrail to save to an Amazon S3 bucket, and enable S3 Intelligent-Tiering.

D.

Use Amazon S3 as the target. Enable an S3 Lifecycle policy to transition the logs to S3 Standard-Infrequent Access (S3 Standard-IA) after 90 days.

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Exam Code: SAA-C03
Exam Name: AWS Certified Solutions Architect - Associate (SAA-C03)
Last Update: Apr 30, 2024
Questions: 683
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