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The AWS Certified DevOps Engineer - Professional certification exam is intended for professionals who have a minimum of two years of experience working with AWS and at least five years of experience working in a DevOps role. Candidates for this certification are expected to have a thorough understanding of the principles and practices of continuous integration and continuous delivery (CI/CD), as well as the ability to automate and manage infrastructure using AWS tools.

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Amazon DOP-C02 exam is designed to test the skills and knowledge of professionals who work in DevOps roles. AWS Certified DevOps Engineer - Professional certification is intended for individuals who have a deep understanding of the AWS platform and are experienced in delivering and managing applications on AWS. DOP-C02 Exam is designed to validate the skills needed to manage, operate, and deploy applications on AWS, and to demonstrate expertise in DevOps practices and methodologies.

Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q274-Q279):

NEW QUESTION # 274
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.
What can a DevOps engineer do to meet these requirements?

A. 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.
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. 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.
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 # 275
An ecommerce company uses a large number of Amazon Elastic Block Store (Amazon EBS) backed Amazon EC2 instances. To decrease manual work across all the instances, a DevOps engineer is tasked with automating restart actions when EC2 instance retirement events are scheduled.
How can this be accomplished?

A. Enable EC2Auto Recovery on all of the instances. Create an AWS Config rule to limit the recovery to occur during a maintenance window only
B. Create a scheduled Amazon EventBridge rule to run an AWS Systems Manager Automation runbook that checks if any EC2 instances are scheduled for retirement once a week If the instance is scheduled for retirement the runbook will hibernate the instance
C. Set up an AWS Health Amazon EventBridge rule to run AWS Systems Manager Automation runbooks that stop and start the EC2 instance when a retirement scheduled event occurs.
D. Reboot all EC2 instances during an approved maintenance window that is outside of standard business hours Set up Amazon CloudWatch alarms to send a notification in case any instance is failing EC2 instance status checks

Answer: C

Explanation:
Explanation
https://aws.amazon.com/blogs/mt/automate-remediation-actions-for-amazon-ec2-notifications-and-beyond-using

NEW QUESTION # 276
A DevOps engineer successfully creates an Amazon Elastic Kubernetes Service (Amazon EKS) cluster that includes managed node groups. When the DevOps engineer tries to add node groups to the cluster, the cluster returns an error that states, "NodeCreationFailure: Instances failed to join the Kubernetes cluster." The DevOps engineer confirms that the EC2 worker nodes are running and that the EKS cluster is in an active state. How should the DevOps engineer troubleshoot this issue?

A. Ensure that the EKS cluster's VPC subnets do not overlap with the 172.17.0.0/16 CIDR range.
B. Use kubectl to update the kubeconfig file to use the credentials that created the cluster.
C. Create an AWS Identity and Access Management (IAM) OpenID Connect (OIDC) provider for the cluster.
D. Run the AWSSupport-TroubleshootEKSWorkerNode runbook.

Answer: D

NEW QUESTION # 277
A company uses AWS and has a VPC that contains critical compute infrastructure with predictable traffic patterns. The company has configured VPC flow logs that are published to a log group in Amazon CloudWatch Logs.
The company's DevOps team needs to configure a monitoring solution for the VPC flow logs to identify anomalies in network traffic to the VPC over time. If the monitoring solution detects an anomaly, the company needs the ability to initiate a response to the anomaly.
How should the DevOps team configure the monitoring solution to meet these requirements?

A. Create an Amazon Kinesis data stream. Subscribe the log group to the data stream. Configure Amazon Kinesis Data Analytics to detect log anomalies in the data stream. Create an AWS Lambda function to use as the output of the data stream. Configure the Lambda function to write to the default Amazon EventBridge event bus in the event of an anomaly finding.
B. Create an Amazon Kinesis data stream. Subscribe the log group to the data stream. Create an AWS Lambda function to detect log anomalies. Configure the Lambda function to write to the default Amazon EventBridge event bus if the Lambda function detects an anomaly. Set the Lambda function as the processor for the data stream.
C. Create an Amazon Kinesis Data Firehose delivery stream that delivers events to an Amazon S3 bucket.
Subscribe the log group to the delivery stream. Configure Amazon Lookout for Metrics to monitor the data in the S3 bucket for anomalies. Create an AWS Lambda function to run in response to Lookout for Metrics anomaly findings. Configure the Lambda function to publish to the default Amazon EventBridge event bus.
D. Create an AWS Lambda function to detect anomalies. Configure the Lambda function to publish an event to the default Amazon EventBridge event bus if the Lambda function detects an anomaly.
Subscribe the Lambda function to the log group.

Answer: B

Explanation:
To meet the requirements, the DevOps team needs to configure a monitoring solution for the VPC flow logs that can detect anomalies in network traffic over time and initiate a response to the anomaly. The DevOps team can use Amazon Kinesis Data Streams to ingest and process streaming data from CloudWatch Logs. The DevOps team can subscribe the log group to a Kinesis data stream, which will deliver log events from CloudWatch Logs to Kinesis Data Streams in near real-time. The DevOps team can then create an AWS Lambda function to detect log anomalies using machine learning or statistical methods. The Lambda function can be set as a processor for the data stream, which means that it will process each record from the stream before sending it to downstream applications or destinations. The Lambda function can also write to the default Amazon EventBridge event bus if it detects an anomaly, which will allow other AWS services or custom applications to respond to the anomaly event.

NEW QUESTION # 278
A company is using AWS to run digital workloads. Each application team in the company has its own AWS account for application hosting. The accounts are consolidated in an organization in AWS Organizations.
The company wants to enforce security standards across the entire organization. To avoid noncompliance because of security misconfiguration, the company has enforced the use of AWS CloudFormation. A production support team can modify resources in the production environment by using the AWS Management Console to troubleshoot and resolve application-related issues.
A DevOps engineer must implement a solution to identify in near real time any AWS service misconfiguration that results in noncompliance. The solution must automatically remediate the issue within 15 minutes of identification. The solution also must track noncompliant resources and events in a centralized dashboard with accurate timestamps.
Which solution will meet these requirements with the LEAST development overhead?

A. Turn on AWS CloudTrail in the AWS accounts. Analyze CloudTrail logs by using Amazon CloudWatch Logs to identify noncompliant resources. Use CloudWatch Logs filters for drift detection. Use Amazon EventBridge to invoke the Lambda function for remediation. Stream filtered CloudWatch logs to Amazon OpenSearch Service. Set up a dashboard on OpenSearch Service for tracking.
B. Use CloudFormation drift detection to identify noncompliant resources. Use drift detection events from CloudFormation to invoke an AWS Lambda function for remediation. Configure the Lambda function to publish logs to an Amazon CloudWatch Logs log group. Configure an Amazon CloudWatch dashboard to use the log group for tracking.
C. Turn on the configuration recorder in AWS Config in all the AWS accounts to identify noncompliant resources. Enable AWS Security Hub with the ~no-enable-default-standards option in all the AWS accounts. Set up AWS Config managed rules and custom rules. Set up automatic remediation by using AWS Config conformance packs. For tracking, set up a dashboard on Security Hub in a designated Security Hub administrator account.
D. Turn on AWS CloudTrail in the AWS accounts. Analyze CloudTrail logs by using Amazon Athena to identify noncompliant resources. Use AWS Step Functions to track query results on Athena for drift detection and to invoke an AWS Lambda function for remediation. For tracking, set up an Amazon QuickSight dashboard that uses Athena as the data source.

Answer: C

Explanation:
The best solution is to use AWS Config and AWS Security Hub to identify and remediate noncompliant resources across multiple AWS accounts. AWS Config enables continuous monitoring of the configuration of AWS resources and evaluates them against desired configurations. AWS Config can also automatically remediate noncompliant resources by using conformance packs, which are a collection of AWS Config rules and remediation actions that can be deployed as a single entity. AWS Security Hub provides a comprehensive view of the security posture of AWS accounts and resources. AWS Security Hub can aggregate and normalize the findings from AWS Config and other AWS services, as well as from partner solutions. AWS Security Hub can also be used to create a dashboard for tracking noncompliant resources and events in a centralized location.
The other options are not optimal because they either require more development overhead, do not provide near real time detection and remediation, or do not provide a centralized dashboard for tracking.
Option A is not optimal because CloudFormation drift detection is not a near real time solution. Drift detection has to be manually initiated on each stack or resource, or scheduled using a cron expression. Drift detection also does not provide remediation actions, so a custom Lambda function has to be developed and invoked. CloudWatch Logs and dashboard can be used for tracking, but they do not provide a comprehensive view of the security posture of the AWS accounts and resources.
Option B is not optimal because CloudTrail logs analysis using Athena is not a near real time solution. Athena queries have to be manually run or scheduled using a cron expression. Athena also does not provide remediation actions, so a custom Lambda function has to be developed and invoked. Step Functions can be used to orchestrate the query and remediation workflow, but it adds more complexity and cost. QuickSight dashboard can be used for tracking, but it does not provide a comprehensive view of the security posture of the AWS accounts and resources.
Option D is not optimal because CloudTrail logs analysis using CloudWatch Logs is not a near real time solution. CloudWatch Logs filters have to be manually created or updated for each resource type and configuration change. CloudWatch Logs also does not provide remediation actions, so a custom Lambda function has to be developed and invoked. EventBridge can be used to trigger the Lambda function, but it adds more complexity and cost. OpenSearch Service dashboard can be used for tracking, but it does not provide a comprehensive view of the security posture of the AWS accounts and resources.
Reference:
AWS Config conformance packs
Introducing AWS Config conformance packs
Managing conformance packs across all accounts in your organization

NEW QUESTION # 279
......

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New DOP-C02 Test Vce Free & DOP-C02 Unlimited Exam Practice

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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q274-Q279):

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