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Amazon DOP-C02 Certification can help professionals advance their careers in the field of DevOps engineering and demonstrate their expertise in managing and operating distributed application systems using AWS tools and services. With the increasing demand for skilled DevOps engineers, earning this certification can open up new career opportunities and increase earning potential.
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The AWS Certified DevOps Engineer - Professional certification exam is delivered online and consists of multiple-choice and multiple-response questions. Candidates have 170 minutes to complete the exam, and the passing score is 750 out of 1000 points. DOP-C02 exam fee is $300 USD, and candidates can register for the exam through the AWS website. AWS also offers a range of study materials and resources to help candidates prepare for the exam, including practice exams, training courses, and whitepapers.
The Amazon DOP-C02 Exam covers a wide range of topics related to DevOps, including AWS services such as AWS CodeCommit, AWS CodePipeline, AWS CodeBuild, AWS CodeDeploy, and AWS CodeStar. It also covers topics related to automation, configuration management, containerization, and serverless computing.
NEW QUESTION # 219
A DevOps engineer needs a solution to catalog all applications that are installed on on-premises servers and Amazon EC2 instances. The solution must track historical changes and retain the data for 7 years.
Which solution will meet these requirements with the LEAST operational overhead?
Answer: B
Explanation:
AWS Systems Manager Inventory collects metadata about managed instances, including installed applications, network configurations, and OS details, from both EC2 instances and on-premises servers registered via Systems Manager hybrid activations. However, Systems Manager Inventory does not natively support a 7-year retention period for historical data. The resource data sync feature solves this by continuously syncing all inventory data to a centralized Amazon S3 bucket. Once in S3, a lifecycle rule configured to expire objects after 7 years (2,555 days) satisfies the long-term retention requirement with no ongoing maintenance. S3 also preserves historical versions when versioning is enabled, fulfilling the change- tracking requirement. Option A is incorrect because SSM Inventory does not offer a configurable 7-year retention. Option C adds AWS Config, which is unnecessary overhead. Option D requires custom scripting, increasing operational burden.
NEW QUESTION # 220
A company requires all employees to access secrets via Systems Manager Parameter Store with rotation every 60 days.
The company must add a new secret for an Amazon ElastiCache Redis cluster.
Which solution meets these requirements with the LEAST operational overhead?
Answer: C
Explanation:
AWS Secrets Manager supports managed rotation using Lambda templates for ElastiCache (Redis). Secrets Manager can integrate with Parameter Store using references ({{resolve:secretsmanager:...}}). This ensures automatic rotation with minimal management.
NEW QUESTION # 221
A company uses AWS CloudFormation stacks to deploy updates to its application. The stacks consist of different resources. The resources include AWS Auto Scaling groups, Amazon EC2 instances, Application Load Balancers (ALBs), and other resources that are necessary to launch and maintain independent stacks.
Changes to application resources outside of CloudFormation stack updates are not allowed.
The company recently attempted to update the application stack by using the AWS CLI. The stack failed to update and produced the following error message: "ERROR: both the deployment and the CloudFormation stack rollback failed. The deployment failed because the following resource(s) failed to update:
[AutoScalingGroup]."
The stack remains in a status of UPDATE_ROLLBACK_FAILED. *
Which solution will resolve this issue?
Answer: B
Explanation:
Explanation
https://repost.aws/knowledge-center/cloudformation-update-rollback-failed If your stack is stuck in the UPDATE_ROLLBACK_FAILED state after a failed update, then the only actions that you can perform on the stack are the ContinueUpdateRollback or DeleteStack operations.
NEW QUESTION # 222
A company has deployed a new platform that runs on Amazon Elastic Kubernetes Service (Amazon EKS). The new platform hosts web applications that users frequently update. The application developers build the Docker images for the applications and deploy the Docker images manually to the platform.
The platform usage has increased to more than 500 users every day. Frequent updates, building the updated Docker images for the applications, and deploying the Docker images on the platform manually have all become difficult to manage.
The company needs to receive an Amazon Simple Notification Service (Amazon SNS) notification if Docker image scanning returns any HIGH or CRITICAL findings for operating system or programming language package vulnerabilities.
Which combination of steps will meet these requirements? (Select TWO.)
Answer: A,E
Explanation:
* Step 1: Automate Docker Image Deployment using AWS CodePipeline
The first challenge is the manual process of building and deploying Docker images. To address this, you can use AWS CodePipeline to automate the process. AWS CodePipeline integrates with CodeCommit (for source code and Dockerfile storage) and CodeBuild (to build Docker images and store them in Amazon Elastic Container Registry (ECR)).
Action: Create an AWS CodeCommit repository to store the Dockerfile and Kubernetes deployment files. Then, create a pipeline in AWS CodePipeline that triggers on new commits via an Amazon EventBridge event.
Why: This automation significantly reduces the manual effort of building and deploying Docker images when updates are made to the codebase.
Reference:
This corresponds to Option B: Create an AWS CodeCommit repository to store the Dockerfile and Kubernetes deployment files. Create a pipeline in AWS CodePipeline. Use an Amazon EventBridge event to invoke the pipeline when a newer version of the Dockerfile is committed. Add a step to the pipeline to initiate the AWS CodeBuild project.
* Step 2: Enabling Enhanced Scanning on Amazon ECR and Monitoring Vulnerabilities To scan for vulnerabilities in Docker images, Amazon ECR provides both basic and enhanced scanning options. Enhanced scanning offers deeper and more frequent scans, and integrates with Amazon EventBridge to send notifications based on findings.
Action: Turn on enhanced scanning for the Amazon ECR repository where the Docker images are stored. Use Amazon EventBridge to monitor image scan events and trigger an Amazon SNS notification if any HIGH or CRITICAL vulnerabilities are found.
Why: Enhanced scanning provides a detailed analysis of operating system and programming language package vulnerabilities, which can trigger notifications in real-time.
This corresponds to Option D: Create an AWS CodeBuild project that builds the Docker images and stores the Docker images in an Amazon Elastic Container Registry (Amazon ECR) repository. Turn on enhanced scanning for the ECR repository. Create an Amazon EventBridge rule that monitors ECR image scan events. Configure the EventBridge rule to send an event to an SNS topic when the finding-severity-counts parameter is more than 0 at a CRITICAL or HIGH level.
NEW QUESTION # 223
A company uses Amazon EC2 as its primary compute platform. A DevOps team wants to audit the company's EC2 instances to check whether any prohibited applications have been installed on the EC2 instances.
Which solution will meet these requirements with the MOST operational efficiency?
Answer: A
Explanation:
* Configure AWS Systems Manager on Each Instance:
AWS Systems Manager provides a unified interface for managing AWS resources. Install the Systems Manager agent on each EC2 instance to enable inventory management and other features.
* Use AWS Systems Manager Inventory:
Systems Manager Inventory collects metadata about your instances and the software installed on them. This data includes information about applications, network configurations, and more.
Enable Systems Manager Inventory on all EC2 instances to gather detailed information about installed applications.
* Use Systems Manager Resource Data Sync to Synchronize and Store Findings in an Amazon S3 Bucket:
Resource Data Sync aggregates inventory data from multiple accounts and regions into a single S3 bucket, making it easier to query and analyze the data.
Configure Resource Data Sync to automatically transfer inventory data to an S3 bucket for centralized storage.
* Create an AWS Lambda Function that Runs When New Objects are Added to the S3 Bucket:
Use an S3 event to trigger a Lambda function whenever new inventory data is added to the S3 bucket.
The Lambda function can parse the inventory data and check for the presence of prohibited applications.
* Configure the Lambda Function to Identify Prohibited Applications:
The Lambda function should be programmed to scan the inventory data for any known prohibited applications and generate alerts or take appropriate actions if such applications are found.
Example Lambda function in Python
import json
import boto3
def lambda_handler(event, context):
s3 = boto3.client('s3')
bucket = event['Records'][0]['s3']['bucket']['name']
key = event['Records'][0]['s3']['object']['key']
response = s3.get_object(Bucket=bucket, Key=key)
inventory_data = json.loads(response['Body'].read().decode('utf-8'))
prohibited_apps = ['app1', 'app2']
for instance in inventory_data['Instances']:
for app in instance['Applications']:
if app['Name'] in prohibited_apps:
# Send notification or take action
print(f"Prohibited application found: {app['Name']} on instance {instance['InstanceId']}") return {'statusCode': 200, 'body': json.dumps('Check completed')} By leveraging AWS Systems Manager Inventory, Resource Data Sync, and Lambda, this solution provides an efficient and automated way to audit EC2 instances for prohibited applications.
Reference:
AWS Systems Manager Inventory
AWS Systems Manager Resource Data Sync
S3 Event Notifications
AWS Lambda
NEW QUESTION # 224
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