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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q63-Q68):

NEW QUESTION # 63
A company has deployed a critical application in two AWS Regions. The application uses an Application Load Balancer (ALB) in both Regions. The company has Amazon Route 53 alias DNS records for both ALBs.
The company uses Amazon Route 53 Application Recovery Controller to ensure that the application can fail over between the two Regions. The Route 53 ARC configuration includes a routing control for both Regions.
The company uses Route 53 ARC to perform quarterly disaster recovery (DR) tests.
During the most recent DR test, a DevOps engineer accidentally turned off both routing controls. The company needs to ensure that at least one routing control is turned on at all times.
Which solution will meet these requirements?

A. In Route 53 ARC. create a new assertion safety rule. Apply the assertion safety rule to the two routing controls. Configure the rule with the ATLEAST type with a threshold of 1.
B. In Route 53 ARC, create a new resource set. Configure the resource set with an AWS: Route53:
HealthCheck resource type. Specify the ARNs of the two routing controls as the target resource. Create a new readiness check for the resource set.
C. In Route 53 ARC, create a new gating safety rule. Apply the assertion safety rule to the two routing controls. Configure the rule with the OR type with a threshold of 1.
D. In Route 53 ARC, create a new resource set. Configure the resource set with an AWS:Route53RecoveryReadiness: DNSTargetResource resource type. Add the domain names of the two Route 53 alias DNS records as the target resource. Create a new readiness check for the resource set.

Answer: A

Explanation:
The correct solution is to create a new assertion safety rule in Route 53 ARC and apply it to the two routing controls. An assertion safety rule is a type of safety rule that ensures that a minimum number of routing controls are always enabled. The ATLEAST type of assertion safety rule specifies the minimum number of routing controls that must be enabled for the rule to evaluate as healthy. By setting the threshold to 1, the rule ensures that at least one routing control is always turned on. This prevents the scenario where both routing controls are accidentally turned off and the application becomes unavailable in both Regions.
The other solutions are incorrect because they do not use safety rules to prevent both routing controls from being turned off. A gating safety rule is a type of safety rule that prevents routing control state changes that violate the rule logic. The OR type of gating safety rule specifies that one or more routing controls must be enabled for the rule to evaluate as healthy. However, this rule does not prevent a user from turning off both routing controls manually. A resource set is a collection of resources that are tested for readiness by Route 53 ARC. A readiness check is a test that verifies that all the resources in a resource set are operational. However, these concepts are not related to routing control states or safety rules. Therefore, creating a new resource set and a new readiness check will not ensure that at least one routing control is turned on at all times. References:
* Routing control in Amazon Route 53 Application Recovery Controller
* Viewing and updating routing control states in Route 53 ARC
* Creating a control panel in Route 53 ARC
* Creating safety rules in Route 53 ARC

NEW QUESTION # 64
A business has an application that consists of five independent AWS Lambda functions.
The DevOps engineer has built a CI/CD pipeline using AWS CodePipeline and AWS CodeBuild that builds tests packages and deploys each Lambda function in sequence. The pipeline uses an Amazon EventBridge rule to ensure the pipeline starts as quickly as possible after a change is made to the application source code.
After working with the pipeline for a few months the DevOps engineer has noticed the pipeline takes too long to complete.
What should the DevOps engineer implement to BEST improve the speed of the pipeline?

A. Modify each CodeBuild protect to run within a VPC and use dedicated instances to increase throughput.
B. Create a custom CodeBuild execution environment that includes a symmetric multiprocessing configuration to run the builds in parallel.
C. Modify the CodeBuild projects within the pipeline to use a compute type with more available network throughput.
D. Modify the CodePipeline configuration to run actions for each Lambda function in parallel by specifying the same runorder.

Answer: D

Explanation:
https://docs.aws.amazon.com/codepipeline/latest/userguide/reference-pipeline-structure.html AWS doc: "To specify parallel actions, use the same integer for each action you want to run in parallel. For example, if you want three actions to run in sequence in a stage, you would give the first action the runOrder value of 1, the second action the runOrder value of 2, and the third the runOrder value of 3. However, if you want the second and third actions to run in parallel, you would give the first action the runOrder value of 1 and both the second and third actions the runOrder value of 2."

NEW QUESTION # 65
A company uses AWS CDK and CodePipeline with CodeBuild to deploy applications. The company wants to enforce unit tests before deployment; deployment proceeds only if tests pass.
Which steps enforce this? (Select TWO.)

A. Update CodeBuild commands to run tests then deploy, add --require-approval any-change flag.
B. Create tests with AWS CDK assertions module, using template.hasResourceProperties assertions.
C. Create tests that use cdk diff and fail if any resource changes are detected.
D. Update CodeBuild build commands to run tests then deploy, set OnFailure to ABORT.
E. Update CodeBuild commands to run tests then deploy, add --rollback true to cdk deploy.

Answer: B,D

Explanation:
* Running unit tests in the build phase and aborting on failure (OnFailure=ABORT) prevents deployment if tests fail.
* AWS CDK assertions module provides programmatic unit tests against synthesized templates (Option D).
* The --rollback flag relates to CloudFormation stack rollback, not test gating.
* The --require-approval flag controls manual approvals, not test outcomes.
* cdk diff checks for changes but is not a unit test and may not catch logical errors.
References:
Testing AWS CDK Applications
CodeBuild Buildspec OnFailure

NEW QUESTION # 66
A company has an application that stores data that includes personally Identifiable Information (Pll) In an Amazon S3 bucket All data Is encrypted with AWS Key Management Service (AWS KMS) customer managed keys. All AWS resources are deployed from an AWS Cloud Formation template.
A DevOps engineer needs to set up a development environment for the application in a different AWS account The data in the development environment's S3 bucket needs to be updated once a week from the production environment's S3 bucket.
The company must not move Pll from the production environment without anonymizmg the Pll first The data in each environment must be encrypted with different KMS customer managed keys.
Which combination of steps should the DevOps engineer take to meet these requirements? (Select TWO )

A. Set up an S3 Batch Operations job to copy files from the production S3 bucket to the development S3 bucket. In the development account, configure an AWS Lambda function to redact all Pll. Configure S3 Object Lambda to use the Lambda function for S3 GET requests Give the Lambda function's 1AM role encrypt and decrypt permissions on the KMS key in the development account.
B. Create a development environment from the CloudFormatlon template in the development account.
Schedule an Amazon EventBridge rule to start the AWS Step Functions state machine once a week
C. Create a development environment from the CloudFormation template in the development account.Schedule a cron job on an Amazon EC2 instance to run once a week to start the S3 Batch Operations job.
D. Set up S3 replication between the production S3 bucket and the development S3 bucket Activate Amazon Macie on the development S3 bucket Create an AWS Step Functions state machine to initiate a discovery job and redact all Pll as the files are copied to the development S3 bucket. Give the state machine tasks encrypt and decrypt permissions on the KMS key in the development account.
E. Activate Amazon Macie on the S3 bucket In the production account Create an AWS Step Functions state machine to initiate a discovery job and redact all Pll before copying files to the S3 bucket in the development account. Give the state machine tasks decrypt permissions on the KMS key in the production account. Give the state machine tasks encrypt permissions on the KMS key in the development account

Answer: B,E

Explanation:
Activate Amazon Macie on the Production S3 Bucket:
* Macie can identify and protect sensitive data such as PII.
* Create a Step Functions state machine to automate data discovery and redaction before copying it to the development environment.
Example Step Functions state machine:
{
"Comment": "Anonymize PII and copy data",
"StartAt": "MacieDiscoveryJob",
"States": {
"MacieDiscoveryJob": {
"Type": "Task",
"Resource": "arn:aws:states:::macie:startClassificationJob",
"End": true
}
}
}
Create a Development Environment from CloudFormation Template:
* Deploy the development environment in a new account using the existing CloudFormation template.
* Schedule an EventBridge rule to start the Step Functions state machine on a weekly basis.
EventBridge rule example:
{
"ScheduleExpression": "rate(7 days)",
"StateMachineArn": "arn:aws:states:<region>:<account-id>:stateMachine:AnonymizeAndCopyData"
}
* By using Macie for data anonymization and Step Functions for automation, you ensure PII is properly handled before data transfer between environments.
References:
* Amazon Macie
* AWS Step Functions
* AWS CloudFormation Templates

NEW QUESTION # 67
A company has proprietary data available by using an Amazon CloudFront distribution. The company needs to ensure that the distribution is accessible by only users from the corporate office that have a known set of IP address ranges. An AWS WAF web ACL is associated with the distribution and has a default action set to Count.
Which solution will meet these requirements with the LEAST operational overhead?

A. Create a WAF IP address set that matches the corporate office IP address range. Set the default action on the existing web ACL to Block. Add a rule that has priority 0 that allows traffic from the IP address set.
B. Create an AWS WAF IP address set that matches the corporate office IP address range. Create a new web ACL that has a default action set to Allow. Associate the web ACL with the CloudFront distribution. Add a rule that allows traffic from the IP address set.
C. Create a new regex pattern set. Add the regex pattern set to a new rule group. Create a new web ACL that has a default action set to Block. Associate the web ACL with the CloudFront distribution. Add a rule that allows traffic based on the new rule group.
D. Create a new regex pattern set. Add the regex pattern set to a new rule group. Set the default action on the existing web ACL to Allow. Add a rule that has priority 0 that allows traffic based on the regex pattern set.

Answer: A

Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
To restrict access to CloudFront to a specific IP address range:
* Create anAWS WAF IP address setwith the corporate office IPs.
* Modify the existing WebACL'sdefault action to Block(deny all except explicitly allowed).
* Add a high-priority rule thatallows traffic from the IP address set(the corporate IPs).This way, only requests from the corporate IPs are allowed; all others are blocked.Regex pattern sets are not necessary for IP-based restrictions and add complexity. Setting default action to Allow with exceptions is less secure and more complex to manage.
References:
AWS WAF IP Set Examples
Restricting Access by IP Address

NEW QUESTION # 68
......

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