New Year Sale 70% Discount Offer - Ends in 0d 00h 00m 00s - Coupon code: save70

AWS Certified Professional DOP-C02 Full Course Free

Page: 23 / 28
Total 392 questions

AWS Certified DevOps Engineer - Professional Questions and Answers

Question 89

A company has many AWS accounts. During AWS account creation the company uses automation to create an Amazon CloudWatch Logs log group in every AWS Region that the company operates in. The automaton configures new resources in the accounts to publish logs to the provisioned log groups in their Region.

The company has created a logging account to centralize the logging from all the other accounts. A DevOps engineer needs to aggregate the log groups from all the accounts to an existing Amazon S3 bucket in the logging account.

Which solution will meet these requirements in the MOST operationally efficient manner?

Options:

A.

In the logging account create a CloudWatch Logs destination with a destination policy. For each new account subscribe the CloudWatch Logs log groups to the. Destination Configure a single Amazon Kinesis data stream and a single Amazon Kinesis Data Firehose delivery stream to deliver the logs from the CloudWatch Logs destination to the S3 bucket.

B.

In the logging account create a CloudWatch Logs destination with a destination policy for each Region. For each new account subscribe the CloudWatch Logs log groups to the destination. Configure a single Amazon Kinesis data stream and a single Amazon Kinesis Data Firehose delivery stream to deliver the logs from all the CloudWatch Logs destinations to the S3 bucket.

C.

In the logging account create a CloudWatch Logs destination with a destination policy for each Region. For each new account subscribe the CloudWatch Logs log groups to the destination Configure an Amazon Kinesis data stream and an Amazon Kinesis Data Firehose delivery stream for each Region to deliver the logs from the CloudWatch Logs destinations to the S3 bucket.

D.

In the logging account create a CloudWatch Logs destination with a destination policy. For each new account subscribe the CloudWatch Logs log groups to the destination. Configure a single Amazon Kinesis data stream to deliver the logs from the CloudWatch Logs destination to the S3 bucket.

Question 90

A company’s web app runs on EC2 with a relational database. The company wants highly available multi-Region architecture with latency-based routing for global customers.

Which solution meets these requirements?

Options:

A.

ALB in each Region with Auto Scaling groups; Aurora global database with read replicas; Route 53 latency-based routing to ALBs.

B.

ALB in each Region with Auto Scaling groups; RDS primary in one Region with read replicas in others; Route 53 failover routing to ALBs.

C.

Elastic Beanstalk with ALB in each Region; Aurora global database with read replicas; CloudFront with custom origins for ALBs; Route 53 latency-based routing to CloudFront.

D.

Elastic Beanstalk with ALB in each Region; RDS primary in one Region with read replicas; CloudFront with custom origins for ALBs; Route 53 failover routing to CloudFront.

Question 91

A company has a web application that publishes logs that contain metadata for transactions, with a status of success or failure for each log. The logs are in JSON format. The application publishes the logs to an Amazon CloudWatch Logs log group.

The company wants to create a dashboard that displays the number of successful transactions.

Which solution will meet this requirement with the LEAST operational overhead?

Options:

A.

Create an Amazon OpenSearch Service cluster and an OpenSearch Service subscription filter to send the log group data to the cluster. Create a dashboard within the Dashboards feature in the OpenSearch Service cluster by using a search query for transactions that have a status of success.

B.

Create a CloudWatch subscription filter for the log group that uses an AWS Lambda function. Configure the Lambda function to parse the JSON logs and publish a custom metric to CloudWatch for transactions that have a status of success. Create a CloudWatch dashboard by using a metric graph that displays the custom metric.

C.

Create a CloudWatch metric filter for the log groups with a filter pattern that matches the transaction status property and a value of success. Create a CloudWatch dashboard by using a metric graph that displays the new metric.

D.

Create an Amazon Kinesis data stream that is subscribed to the log group. Configure the data stream to filter incoming log data based on a status of success and to send the filtered logs to an AWS Lambda function. Configure the Lambda function to publish a custom metric to CloudWatch. Create a CloudWatch dashboard by using a metric graph that displays the custom metric.

Question 92

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.

Page: 23 / 28
Total 392 questions