EXAM QUESTIONS FOR AMAZON DOP-C02 WITH 1 YEAR OF UPDATES

Exam Questions For Amazon DOP-C02 With 1 year Of Updates

Exam Questions For Amazon DOP-C02 With 1 year Of Updates

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Amazon DOP-C02 (AWS Certified DevOps Engineer - Professional) Certification Exam is designed to test the skills and knowledge of DevOps professionals who work with the Amazon Web Services (AWS) platform. DOP-C02 Exam is aimed at experienced DevOps engineers who have a deep understanding of AWS services and are able to manage complex, multi-tier applications on the AWS platform.

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Standard DOP-C02 Answers | DOP-C02 Test Dumps Demo

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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q215-Q220):

NEW QUESTION # 215
A DevOps engineer is researching the least expensive way to implement an image batch processing cluster on AWS. The application cannot run in Docker containers and must run on Amazon EC2. The batch job stores checkpoint data on an NFS volume and can tolerate interruptions. Configuring the cluster software from a generic EC2 Linux image takes 30 minutes.
What is the MOST cost-effective solution?

  • A. Use Amazon EFS for checkpoint data Use EC2 Fleet to launch EC2 Spot Instances Create a custom AMI for the cluster and use the latest AMI when creating instances.
  • B. Use Amazon EFS (or checkpoint data. To complete the job, use an EC2 Auto Scaling group and an On-Demand pricing model to provision EC2 instances temporally.
  • C. Use Amazon EFS for checkpoint data Use EC2 Fleet to launch EC2 Spot Instances and utilize user data to configure the EC2 Linux instance on startup.
  • D. Use GlusterFS on EC2 instances for checkpoint data. To run the batch job configure EC2 instances manually When the job completes shut down the instances manually.

Answer: A


NEW QUESTION # 216
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.)

  • A. Increase the ParallelizationFactor setting in the Lambda event source mapping.
  • B. Turn off the ReportBatchltemFailures setting in the Lambda event source mapping.Increase the number of shards in the Kinesis data stream.
  • C. Configure reserved concurrency for the Lambda function that processes the logs.
    Increase the batch size in the Kinesis data stream.
  • D. Create a data stream consumer with enhanced fan-out. Set the Lambda function that processes the logs as the consumer.

Answer: A,C,D

Explanation:
The latency in processing and ingesting logs can be caused by several factors, such as the throughput of the Kinesis data stream, the concurrency of the Lambda function, and the configuration of the event source mapping. To reduce the latency, the following steps can be taken:
Create a data stream consumer with enhanced fan-out. Set the Lambda function that processes the logs as the consumer. This will allow the Lambda function to receive records from the data stream with dedicated throughput of up to 2 MB per second per shard, independent of other consumers1. This will reduce the contention and delay in accessing the data stream.
Increase the ParallelizationFactor setting in the Lambda event source mapping. This will allow the Lambda service to invoke more instances of the function concurrently to process the records from the data stream2. This will increase the processing capacity and reduce the backlog of records in the data stream.
Configure reserved concurrency for the Lambda function that processes the logs. This will ensure that the function has enough concurrency available to handle the increased load from the data stream3. This will prevent the function from being throttled by the account-level concurrency limit.
The other options are not effective or may have negative impacts on the latency. Option D is not suitable because increasing the batch size in the Kinesis data stream will increase the amount of data that the Lambda function has to process in each invocation, which may increase the execution time and latency4. Option E is not advisable because turning off the ReportBatchItemFailures setting in the Lambda event source mapping will prevent the Lambda service from retrying the failed records, which may result in data loss. Option F is not necessary because increasing the number of shards in the Kinesis data stream will increase the throughput of the data stream, but it will not affect the processing speed of the Lambda function, which is the bottleneck in this scenario.
Reference:
1: Using AWS Lambda with Amazon Kinesis Data Streams - AWS Lambda
2: AWS Lambda event source mappings - AWS Lambda
3: Managing concurrency for a Lambda function - AWS Lambda
4: AWS Lambda function scaling - AWS Lambda
5: AWS Lambda event source mappings - AWS Lambda
6: Scaling Amazon Kinesis Data Streams with AWS CloudFormation - Amazon Kinesis Data Streams


NEW QUESTION # 217
A company wants to use a grid system for a proprietary enterprise m-memory data store on top of AWS. This system can run in multiple server nodes in any Linux-based distribution. The system must be able to reconfigure the entire cluster every time a node is added or removed. When adding or removing nodes an /etc.
/cluster/nodes config file must be updated listing the IP addresses of the current node members of that cluster.
The company wants to automate the task of adding new nodes to a cluster.
Whatcan a DevOps engineer do to meet these requirements?

  • A. Put the file nodes config in version control. Create an AWS CodeDeploy deployment configuration and deployment group based on an Amazon EC2 tag value for thecluster nodes. When adding a new node to the cluster update the file with all tagged instances and make a commit in version control. Deploy the new file and restart the services.
  • B. Use AWS OpsWorks Stacks to layer the server nodes of that cluster. Create a Chef recipe that populates the content of the 'etc./cluster/nodes config file and restarts the service by using the current members of the layer. Assign that recipe to the Configure lifecycle event.
  • C. Create an Amazon S3 bucket and upload a version of the /etc./cluster/nodes config file Create a crontab script that will poll for that S3 file and download it frequently. Use a process manager such as Monit or system, to restart the cluster services when it detects that the new file was modified. When adding a node to the cluster edit the file's most recent members Upload the new file to the S3 bucket.
  • D. Create a user data script that lists all members of the current security group of the cluster and automatically updates the /etc/cluster/. nodes config. Tile whenever a new instance is added to the cluster.

Answer: B

Explanation:
You can run custom recipes manually, but the best approach is usually to have AWS OpsWorks Stacks run them automatically. Every layer has a set of built-in recipes assigned each of five lifecycle events-Setup, Configure, Deploy, Undeploy, and Shutdown. Each time an event occurs for an instance, AWS OpsWorks Stacks runs the associated recipes for each of the instance's layers, which handle the corresponding tasks. For example, when an instance finishes booting, AWS OpsWorks Stacks triggers a Setup event. This event runs the associated layer's Setup recipes, which typically handle tasks such as installing and configuring packages


NEW QUESTION # 218
A large enterprise is deploying a web application on AWS. The application runs on Amazon EC2 instances behind an Application Load Balancer. The instances run in an Auto Scaling group across multiple Availability Zones. The application stores data in an Amazon RDS for Oracle DB instance and Amazon DynamoDB.
There are separate environments tor development testing and production.
What is the MOST secure and flexible way to obtain password credentials during deployment?

  • A. Retrieve an access key from an AWS Systems Manager plaintext parameter to access AWS services.
    Retrieve the database credentials from a Systems Manager SecureString parameter.
  • B. Launch the EC2 instances with an EC2 1AM role to access AWS services Retrieve the database credentials from AWS Secrets Manager.
  • C. Launch the EC2 instances with an EC2 1AM role to access AWS services Store the database passwords in an encrypted config file with the application artifacts.
  • D. Retrieve an access key from an AWS Systems Manager securestring parameter to access AWS services.
    Retrieve the database credentials from a Systems Manager SecureString parameter.

Answer: B

Explanation:
Explanation
AWS Secrets Manager is a secrets management service that helps you protect access to your applications, services, and IT resources. This service enables you to easily rotate, manage, and retrieve database credentials, API keys, and other secrets throughout their lifecycle. Using Secrets Manager, you can secure and manage secrets used to access resources in the AWS Cloud, on third-party services, and on-premises. SSM parameter store and AWS Secret manager are both a secure option. However, Secrets manager is more flexible and has more options like password generation. Reference:
https://www.1strategy.com/blog/2019/02/28/aws-parameter-store-vs-aws-secrets-manager/


NEW QUESTION # 219
A company is using AWS CodePipeline to deploy an application. According to a new guideline, a member of the company's security team must sign off on any application changes before the changes are deployed into production. The approval must be recorded and retained.
Which combination of actions will meet these requirements? (Select TWO.)

  • A. Configure CodePipeline to write actions to Amazon CloudWatch Logs.
  • B. Create a CodePipeline manual approval action before the deployment step. Create a policy that grants the security team access to approve manual approval stages.
  • C. Configure CodePipeline to write actions to an Amazon S3 bucket at the end of each pipeline stage.
  • D. Create an AWS CloudTrail trail to deliver logs to Amazon S3.
  • E. Create a CodePipeline custom action to invoke an AWS Lambda function for approval. Create a policy that gives the security team access to manage CodePipeline custom actions.

Answer: B,D

Explanation:
To meet the new guideline for application deployment, the company can use a combination of AWS CodePipeline and AWS CloudTrail. A manual approval action in CodePipeline allows the security team to review and approve changes before they are deployed. This action can be configured to pause the pipeline until approval is granted, ensuring that no changes move to production without the necessary sign-off. Additionally, by creating an AWS CloudTrail trail, all actions taken within CodePipeline, including approvals, are recorded and delivered to an Amazon S3 bucket. This provides an audit trail that can be retained for compliance and review purposes.
Reference:
AWS CodePipeline's manual approval action provides a way to ensure that a member of the security team can review and approve changes before they are deployed1.
AWS CloudTrail integration with CodePipeline allows for the recording and retention of all pipeline actions, including approvals, which can be stored in Amazon S3 for record-keeping2.


NEW QUESTION # 220
......

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