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Pass SAP-C02 Exam Guide

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Total 683 questions

AWS Certified Solutions Architect - Professional Questions and Answers

Question 89

A solutions architect must analyze a company ' s Amazon EC2 Instances and Amazon Elastic Block Store (Amazon EBS) volumes to determine whether the company is using resources efficiently The company is running several large, high-memory EC2 instances lo host database dusters that are deployed in active/passive configurations The utilization of these EC2 instances varies by the applications that use the databases, and the company has not identified a pattern

The solutions architect must analyze the environment and take action based on the findings.

Which solution meets these requirements MOST cost-effectively?

Options:

A.

Create a dashboard by using AWS Systems Manager OpsConter Configure visualizations tor Amazon CloudWatch metrics that are associated with the EC2 instances and their EBS volumes Review the dashboard periodically and identify usage patterns Right size the EC2 instances based on the peaks in the metrics

B.

Turn on Amazon CloudWatch detailed monitoring for the EC2 instances and their EBS volumes Create and review a dashboard that is based on the metrics Identify usage patterns Right size the FC? instances based on the peaks In the metrics

C.

Install the Amazon CloudWatch agent on each of the EC2 Instances Turn on AWS Compute Optimizer, and let it run for at least 12 hours Review the recommendations from Compute Optimizer, and right size the EC2 instances as directed

D.

Sign up for the AWS Enterprise Support plan Turn on AWS Trusted Advisor Wait 12 hours Review the recommendations from Trusted Advisor, and rightsize the EC2 instances as directed

Question 90

A company is running a containerized workload on AWS. The workload consists of several data-processing services that run on a group of Amazon EC2 instances.

The company uploads new data to an Amazon S3 bucket every night. A cron job on each EC2 instance starts the data processing every night. The amount of uploaded data varies. The data-processing tasks can take hours to finish running. After the data is processed, the services remain idle until the next processing window occurs the next night. The company needs a solution to modernize the architecture and reduce the operational overhead.

Which solution will meet these requirements?

Options:

A.

Migrate the workload to AWS Lambda functions that run the container images. Configure an Amazon EventBridge rule to filter S3 events and invoke the Lambda functions when data is uploaded to the S3 bucket.

B.

Migrate the workload to run as tasks in an Amazon ECS cluster that runs on AWS Fargate. Create an AWS Step Functions state machine to invoke the Fargate tasks. Configure S3 Event Notifications to invoke the state machine tasks when data is uploaded to the S3 bucket.

C.

Migrate the workload to run as tasks in an Amazon ECS cluster that runs on AWS Fargate. Create an AWS Step Functions state machine to invoke the Fargate tasks. Configure an Amazon EventBridge rule to invoke the state machine when data is uploaded to the S3 bucket.

D.

Migrate the workload to AWS Lambda functions by packaging the container images as Lambda layers. Configure S3 Event Notifications to invoke the Lambda functions when data is uploaded to the S3 bucket.

Question 91

A company is running an application in the AWS Cloud. The application uses AWS Lambda functions and Amazon Elastic Container Service (Amazon ECS) containers that run with AWS Fargate technology as its primary compute. The load on the application is irregular. The application experiences long periods of no usage, followed by sudden and significant increases and decreases in traffic. The application is write-heavy and stores data in an Amazon Aurora MySQL database. The database runs on an Amazon RDS memory optimized DB instance that is not able to handle the load.

What is the MOST cost-effective way for the company to handle the sudden and significant changes in traffic?

Options:

A.

Add additional read replicas to the database. Purchase Instance Savings Plans and RDS Reserved Instances.

B.

Migrate the database to an Aurora multi-master DB cluster. Purchase Instance Savings Plans.

C.

Migrate the database to an Aurora global database. Purchase Compute Savings Plans and RDS Reserved Instances.

D.

Migrate the database to Aurora Serverless v1. Purchase Compute Savings Plans.

Question 92

A financial services company loaded millions of historical stock trades into an Amazon DynamoDB table. The table uses on-demand capacity mode. Once each day at midnight, a few million new records are loaded into the table. Application read activity against the table happens in bursts throughout the day. and a limited set of keys are repeatedly looked up. The company needs to reduce costs associated with DynamoDB.

Which strategy should a solutions architect recommend to meet this requirement?

Options:

A.

Deploy an Amazon ElastiCache cluster in front of the DynamoDB table.

B.

Deploy DynamoDB Accelerator (DAX). Configure DynamoDB auto scaling. Purchase Savings Plans in Cost Explorer

C.

Use provisioned capacity mode. Purchase Savings Plans in Cost Explorer.

D.

Deploy DynamoDB Accelerator (DAX). Use provisioned capacity mode. Configure DynamoDB auto scaling.

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Total 683 questions