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AWS Certified DevOps Engineer - Professional Questions and Answers

Question 1

A company has a search application that has a web interface. The company uses Amazon CloudFront, Application Load Balancers (ALBs), and Amazon EC2 instances in an Auto Scaling group with a desired capacity of 3. The company uses prebaked AMIs. The application starts in 1 minute. The application queries an Amazon OpenSearch Service cluster. The application is deployed to multiple Availability Zones. Because of compliance requirements, the application needs to have a disaster recovery (DR) environment in a separate AWS Region. The company wants to minimize the ongoing cost of the DR environment and requires an RTO and an RPO of under 30 minutes. The company has created an ALB in the DR Region. Which solution will meet these requirements?

Options:

Add the new ALB as an origin in the CloudFront distribution. Configure origin failover functionality. Copy the AMI to the DR Region. Create a launch template and an Auto Scaling group with a desired capacity of 0 in the DR Region. Create a new OpenSearch Service cluster in the DR Region. Set up cross-cluster replication for the cluster.

Create a new CloudFront distribution in the DR Region and add the new ALB as an origin. Use Amazon Route 53 DNS for Regional failover. Copy the AMI to the DR Region. Create a launch template and an Auto Scaling group with a desired capacity of 0 in the DR Region. Reconfigure the OpenSearch Service cluster as a Multi-AZ with Standby deployment. Ensure that the standby nodes are in the DR Region.

Create a new CloudFront distribution in the DR Region and add the new ALB as an origin. Use Amazon Route 53 DNS for Regional failover. Copy the AMI to the DR Region. Create a launch template and an Auto Scaling group with a desired capacity of 3 in the DR Region. Reconfigure the OpenSearch Service cluster as a Multi-AZ with Standby deployment. Ensure that the standby nodes are in the DR Region.

Add the new ALB as an origin in the CloudFront distribution. Configure origin failover functionality. Copy the AMI to the DR Region. Create a launch template and an Auto Scaling group with a desired capacity of 3 in the DR Region. Create a new OpenSearch Service cluster in the DR Region. Set up cross-cluster replication for the cluster.

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Question 2

A company hosts applications in its AWS account Each application logs to an individual Amazon CloudWatch log group. The company’s CloudWatch costs for ingestion are increasing

A DevOps engineer needs to Identify which applications are the source of the increased logging costs.

Which solution Will meet these requirements?

Options:

Use CloudWatch metrics to create a custom expression that Identifies the CloudWatch log groups that have the most data being written to them.

Use CloudWatch Logs Insights to create a set of queries for the application log groups to Identify the number of logs written for a period of time

Use AWS Cost Explorer to generate a cost report that details the cost for CloudWatch usage

Use AWS CloudTrail to filter for CreateLogStream events for each application

Answer:

Explanation:

The correct answer is C.

Option A is incorrect because using CloudWatch metrics to create a custom expression that identifies the CloudWatch log groups that have the most data being written to them is not a valid solution. CloudWatch metrics do not provide information about the size or volume of data being ingested by CloudWatch logs. CloudWatch metrics only provide information about the number of events, bytes, and errors that occur within a log group or stream. Moreover, creating a custom expression with CloudWatch metrics would require using the search_web tool, which is not necessary for this use case.

Option B is incorrect because using CloudWatch Logs Insights to create a set of queries for the application log groups to identify the number of logs written for a period of time is not a valid solution. CloudWatch Logs Insights can help analyze and filter log events based on patterns and expressions, but it does not provide information about the cost or billing of CloudWatch logs. CloudWatch Logs Insights also charges based on the amount of data scanned by each query, which could increase the logging costs further.

Option C is correct because using AWS Cost Explorer to generate a cost report that details the cost for CloudWatch usage is a valid solution. AWS Cost Explorer is a tool that helps visualize, understand, and manage AWS costs and usage over time. AWS Cost Explorer can generate custom reports that show the breakdown of costs by service, region, account, tag, or any other dimension. AWS Cost Explorer can also filter and group costs by usage type, which can help identify the specific CloudWatch log groups that are the source of the increased logging costs.

Option D is incorrect because using AWS CloudTrail to filter for CreateLogStream events for each application is not a valid solution. AWS CloudTrail is a service that records API calls and account activity for AWS services, including CloudWatch logs. However, AWS CloudTrail does not provide information about the cost or billing of CloudWatch logs. Filtering for CreateLogStream events would only show when a new log stream was created within a log group, but not how much data was ingested or stored by that log stream.

[References:, CloudWatch Metrics, CloudWatch Logs Insights, AWS Cost Explorer, AWS CloudTrail, , , , , ]

Question 3

A company runs an application on an Amazon Elastic Container Service (Amazon ECS) service by using the AWS Fargate launch type. The application consumes messages from an Amazon Simple Queue Service (Amazon SQS) queue. The application can take several minutes to process each message from the queue. When the application processes a message, the application reads a file from an Amazon S3 bucket and processes the data in the file. The application writes the processed output to a second S3 bucket. The company uses Amazon CloudWatch Logs to monitor processing errors and to ensure that the application processes messages successfully.

The SQS queue typically receives a low volume of messages. However, occasionally the queue receives higher volumes of messages. A DevOps engineer needs to implement a solution to reduce the processing time of message bursts.

Which solution will meet this requirement in the MOST cost-effective way?

Options:

Register the ECS service as a scalable target in AWS Application Auto Scaling. Configure a target tracking scaling policy to scale the service in response to the queue size.

Increase the maximum number of messages that Amazon SQS requests to batch messages together. Use long polling to minimize the number of API calls to Amazon SQS during periods of low traffic.

Send messages to an Amazon EventBridge event bus instead of the SQS queue. Replace the ECS service with an EventBridge rule that launches ECS tasks in response to matching events.

Create an Auto Scaling group of EC2 instances. Create a capacity provider in the ECS cluster by using the Auto Scaling group. Change the ECS service to use the EC2 launch type.

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AWS Certified DevOps Engineer - Professional Questions and Answers

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