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DOP-C02 Exam Dumps : AWS Certified DevOps Engineer - Professional

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AWS Certified DevOps Engineer - Professional Questions and Answers

Question 1

A company’s web app runs on EC2 Linux instances and needs to monitor custom metrics for API response and DB query latency across instances with least overhead.

Which solution meets this?

Options:

A.

Install CloudWatch agent on instances, configure it to collect custom metrics, and instrument app to send metrics to agent.

B.

Use Amazon Managed Service for Prometheus to scrape metrics, use CloudWatch agent to forward metrics to CloudWatch.

C.

Create Lambda to poll app endpoints and DB, calculate metrics, send to CloudWatch via PutMetricData.

D.

Implement custom logging in app; use CloudWatch Logs Insights to extract and analyze metrics.

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Question 2

A company has an application that runs on AWS Lambda and sends logs to Amazon CloudWatch Logs. An Amazon Kinesis data stream is subscribed to the log groups in CloudWatch Logs. A single consumer Lambda function processes the logs from the data stream and stores the logs in an Amazon S3 bucket.

The company's DevOps team has noticed high latency during the processing and ingestion of some logs.

Which combination of steps will reduce the latency? (Select THREE.)

Options:

A.

Create a data stream consumer with enhanced fan-out. Set the Lambda function that processes the logs as the consumer.

B.

Increase the ParallelizationFactor setting in the Lambda event source mapping.

C.

Configure reserved concurrency for the Lambda function that processes the logs.

D.

Increase the batch size in the Kinesis data stream.

E.

Turn off the ReportBatchltemFailures setting in the Lambda event source mapping.

F.

Increase the number of shards in the Kinesis data stream.

Question 3

A company has an application that stores data that includes personally Identifiable Information (Pll) In an Amazon S3 bucket All data Is encrypted with AWS Key Management Service (AWS KMS) customer managed keys. All AWS resources are deployed from an AWS Cloud Formation template.

A DevOps engineer needs to set up a development environment for the application in a different AWS account The data in the development environment's S3 bucket needs to be updated once a week from the production environment's S3 bucket.

The company must not move Pll from the production environment without anonymizmg the Pll first The data in each environment must be encrypted with different KMS customer managed keys.

Which combination of steps should the DevOps engineer take to meet these requirements? (Select TWO )

Options:

A.

Activate Amazon Macie on the S3 bucket In the production account Create an AWS Step Functions state machine to initiate a discovery job and redact all Pll before copying files to the S3 bucket in the development account. Give the state machine tasks decrypt permissions on the KMS key in the production account. Give the state machine tasks encrypt permissions on the KMS key in the development account

B.

Set up S3 replication between the production S3 bucket and the development S3 bucket Activate Amazon Macie on the development S3 bucket Create an AWS Step Functions state machine to initiate a discovery job and redact all Pll as the files are copied to the development S3 bucket. Give the state machine tasks encrypt and decrypt permissions on the KMS key in the development account.

C.

Set up an S3 Batch Operations job to copy files from the production S3 bucket to the development S3 bucket. In the development account, configure anAWS Lambda function to redact all Pll. Configure S3 Object Lambda to use the Lambda function for S3 GET requests Give the Lambda function's 1AM role encrypt and decrypt permissions on the KMS key in the development account.

D.

Create a development environment from the CloudFormatlon template in the development account. Schedule an Amazon EventBridge rule to start the AWS Step Functions state machine once a week

E.

Create a development environment from the CloudFormation template in the development account. Schedule a cron job on an Amazon EC2 instance to run once a week to start the S3 Batch Operations job.