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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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The AWS Certified DevOps Engineer - Professional certification exam covers a range of topics related to DevOps, including continuous integration and continuous delivery, monitoring and logging, security, and automation. Candidates must demonstrate a deep understanding of these topics, as well as the ability to apply their knowledge to real-world scenarios. DOP-C02 Exam also tests candidates' ability to work collaboratively with cross-functional teams, communicate effectively, and troubleshoot problems.
Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q329-Q334):
NEW QUESTION # 329
A company has multiple accounts in an organization in AWS Organizations. The company's SecOps team needs to receive an Amazon Simple Notification Service (Amazon SNS) notification if any account in the organization turns off the Block Public Access feature on an Amazon S3 bucket. A DevOps engineer must implement this change without affecting the operation of any AWS accounts. The implementation must ensure that individual member accounts in the organization cannot turn off the notification.
Which solution will meet these requirements?
- A. Turn on AWS Config across the organization. In the delegated administrator account, create an SNS topic. Subscribe the SecOps team's email address to the SNS topic. Deploy a conformance pack that uses the s3-bucket-level-public-access-prohibited AWS Config managed rule in each account and uses an AWS Systems Manager document to publish an event to the SNS topic to notify the SecOps team.
- B. Create an AWS CloudFormation template that creates an SNS topic and subscribes the SecOps team's email address to the SNS topic. In the template, include an Amazon EventBridge rule that uses an event pattern of CloudTrail activity for s3:PutBucketPublicAccessBlock and a target of the SNS topic.
Deploy the stack to every account in the organization by using CloudFormation StackSets. - C. Designate an account to be the delegated Amazon GuardDuty administrator account. Turn on GuardDuty for all accounts across the organization. In the GuardDuty administrator account, create an SNS topic. Subscribe the SecOps team's email address to the SNS topic. In the same account, create an Amazon EventBridge rule that uses an event pattern for GuardDuty findings and a target of the SNS topic.
- D. Turn on Amazon Inspector across the organization. In the Amazon Inspector delegated administrator account, create an SNS topic. Subscribe the SecOps team'semail address to the SNS topic. In the same account, create an Amazon EventBridge rule that uses an event pattern for public network exposure of the S3 bucket and publishes an event to the SNS topic to notify the SecOps team.
Answer: A
Explanation:
Amazon GuardDuty is primarily on threat detection and response, not configuration monitoring A conformance pack is a collection of AWS Config rules and remediation actions that can be easily deployed as a single entity in an account and a Region or across an organization in AWS Organizations.https://docs.aws.
amazon.com/config/latest/developerguide/conformance-packs.html
https://docs.aws.amazon.com/config/latest/developerguide/s3-account-level-public-access-blocks.html
NEW QUESTION # 330
A company uses an Amazon Aurora PostgreSQL global database that has two secondary AWS Regions. A DevOps engineer has configured the database parameter group to guarantee an RPO of 60 seconds. Write operations on the primary cluster are occasionally blocked because of the RPO setting.
The DevOps engineer needs to reduce the frequency of blocked write operations.
Which solution will meet these requirements?
- A. Add an additional secondary cluster to the global database.
- B. Remove one of the secondary clusters from the global database.
- C. Configure synchronous replication for the global database.
- D. Enable write forwarding for the global database.
Answer: B
Explanation:
* Step 1: Reducing Replication Lag in Aurora Global DatabasesIn Amazon Aurora global databases, write operations on the primary cluster can be delayed due to the time it takes to replicate to secondary clusters, especially when there are multiple secondary regions involved.
* Issue:The write operations are occasionally blocked due to the RPO setting, which guarantees replication within 60 seconds.
* Action:Remove one of the secondary clusters from the global database.
* Why:Fewer secondary clusters will reduce the overall replication lag, improving write performance and reducing the frequency of blocked writes.
NEW QUESTION # 331
A DevOps learn has created a Custom Lambda rule in AWS Config. The rule monitors Amazon Elastic Container Repository (Amazon ECR) policy statements for ecr:' actions. When a noncompliant repository is detected, Amazon EventBridge uses Amazon Simple Notification Service (Amazon SNS) to route the notification to a security team.
When the custom AWS Config rule is evaluated, the AWS Lambda function fails to run.
Which solution will resolve the issue?
- A. Modify the SNS topic policy to include configuration changes for EventBridge to publish to the SNS topic.
- B. Modify the Lambda function's execution role to include configuration changes for custom AWS Config rules.
- C. Modify the Lambda function's resource policy to grant AWS Config permission to invoke the function.
- D. Modify all the ECR repository policies to grant AWS Config access to the necessary ECR API actions.
Answer: C
Explanation:
Step 1: Understanding Lambda Permissions and AWS Config
The custom AWS Config rule evaluates resources and invokes an AWS Lambda function when a compliance check is triggered. For AWS Config to invoke the Lambda function, it requires permission to do so.
Issue: The Lambda function fails to execute because AWS Config doesn't have permission to invoke it.
Action: Modify the resource-based policy of the Lambda function to grant AWS Config permission to invoke the Lambda function.
Why: Without this permission, AWS Config cannot trigger the Lambda function, which is why the evaluation fails.
Reference:
This corresponds to Option A: Modify the Lambda function's resource policy to grant AWS Config permission to invoke the function.
NEW QUESTION # 332
A rapidly growing company wants to scale for developer demand for AWS development environments.
Development environments are created manually in the AWS Management Console. The networking team uses AWS CloudFormation to manage the networking infrastructure, exporting stack output values for the Amazon VPC and all subnets. The development environments have common standards, such as Application Load Balancers, Amazon EC2 Auto Scaling groups, security groups, and Amazon DynamoDB tables.
To keep up with demand, the DevOps engineer wants to automate the creation of development environments.
Because the infrastructure required to support the application is expected to grow, there must be a way to easily update the deployed infrastructure. CloudFormation will be used to create a template for the development environments.
Which approach will meet these requirements and quickly provide consistent AWS environments for developers?
- A. Use Fn::ImportValue intrinsic functions in the Parameters section of the root template to retrieve Virtual Private Cloud (VPC) and subnet values. Define the development resources in the order they need to be created in the CloudFormation nested stacks. Use the CreateChangeSet. and ExecuteChangeSet commands to update existing development environments.
- B. Use nested stacks to define common infrastructure components. To access the exported values, use TemplateURL to reference the networking team's template. To retrieve Virtual Private Cloud (VPC) and subnet values, use Fn::ImportValue intrinsic functions in the Parameters section of the root template. Use the CreateChangeSet and ExecuteChangeSet commands to update existing development environments.
- C. Use nested stacks to define common infrastructure components. Use Fn::ImportValue intrinsic functions with the resources of the nested stack to retrieve Virtual Private Cloud (VPC) and subnet values. Use the CreateChangeSet and ExecuteChangeSet commands to update existing development environments.
- D. Use Fn::ImportValue intrinsic functions in the Resources section of the template to retrieve Virtual Private Cloud (VPC) and subnet values. Use CloudFormation StackSets for the development environments, using the Count input parameter to indicate the number of environments needed. Use the UpdateStackSet command to update existing development environments.
Answer: C
Explanation:
https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/intrinsic-function-reference- importvalue.html
https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/intrinsic-function-reference- importvalue.html CF of network exports the VPC, subnet or needed information CF of application imports the above information to its stack and UpdateChangeSet/ ExecuteChangeSet
NEW QUESTION # 333
A space exploration company receives telemetry data from multiple satellites. Small packets of data are received through Amazon API Gateway and are placed directly into an Amazon Simple Queue Service (Amazon SQS) standard queue. A custom application is subscribed to the queue and transforms the data into a standard format.
Because of inconsistencies in the data that the satellites produce, the application is occasionally unable to transform the dat a. In these cases, the messages remain in the SQS queue. A DevOps engineer must develop a solution that retains the failed messages and makes them available to scientists for review and future processing.
Which solution will meet these requirements?
- A. Configure API Gateway to send messages to different SQS virtual queues that are named for each of the satellites. Update the application to use a new virtual queue for any data that it cannot transform, and send the message to the new virtual queue. Instruct the scientists to use the virtual queue to review the data that is not valid. Reprocess this data at a later time.
- B. Configure AWS Lambda to poll the SQS queue and invoke a Lambda function to check whether the queue messages are valid. If validation fails, send a copy of the data that is not valid to an Amazon S3 bucket so that the scientists can review and correct the data. When the data is corrected, amend the message in the SQS queue by using a replay Lambda function with the corrected data.
- C. Convert the SQS standard queue to an SQS FIFO queue. Configure AWS Lambda to poll the SQS queue every 10 minutes by using an Amazon EventBridge schedule. Invoke the Lambda function to identify any messages with a SentTimestamp value that is older than 5 minutes, push the data to the same location as the application's output location, and remove the messages from the queue.
- D. Create an SQS dead-letter queue. Modify the existing queue by including a redrive policy that sets the Maximum Receives setting to 1 and sets the dead-letter queue ARN to the ARN of the newly created queue. Instruct the scientists to use the dead-letter queue to review the data that is not valid. Reprocess this data at a later time.
Answer: D
Explanation:
Create an SQS dead-letter queue. Modify the existing queue by including a redrive policy that sets the Maximum Receives setting to 1 and sets the dead-letter queue ARN to the ARN of the newly created queue. Instruct the scientists to use the dead-letter queue to review the data that is not valid. Reprocess this data at a later time.
NEW QUESTION # 334
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