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The DOP-C02 Certification Exam consists of 75 multiple-choice and multiple-response questions, which must be completed within 180 minutes. DOP-C02 exam is designed to test the candidate's knowledge across several domains, including Configuration Management and Infrastructure as Code, Monitoring and Logging, Security, Compliance, and Deployment and Provisioning. DOP-C02 exam is computer-based and can be taken at an AWS test center or remotely.

The AWS Certified DevOps Engineer - Professional certification exam is intended for professionals with at least two years of experience in DevOps and AWS. Candidates should have a strong grasp of AWS services, automation techniques, and best practices for continuous integration and delivery (CI/CD) pipelines. AWS Certified DevOps Engineer - Professional certification exam is a comprehensive test of the skills required to design, implement, and manage DevOps systems on AWS.

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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q109-Q114):

NEW QUESTION # 109
An ecommerce company is receiving reports that its order history page is experiencing delays in reflecting the processing status of orders. The order processing system consists of an AWS Lambda function that uses reserved concurrency. The Lambda function processes order messages from an Amazon Simple Queue Service (Amazon SQS) queue and inserts processed orders into an Amazon DynamoDB table. The DynamoDB table has auto scaling enabled for read and write capacity.
Which actions should a DevOps engineer take to resolve this delay? (Choose two.)

A. Check the ApproximateAgeOfOldestMessage metric for the SQS queue. Increase the Lambda function concurrency limit.
B. Check the Throttles metric for the Lambda function. Increase the Lambda function timeout.
C. Check the ApproximateAgeOfOldestMessage metnc for the SQS queue Configure a redrive policy on the SQS queue.
D. Check the WriteThrottleEvents metric for the DynamoDB table. Increase the maximum write capacity units (WCUs) for the table's scaling policy.
E. Check the NumberOfMessagesSent metric for the SQS queue. Increase the SQS queue visibility timeout.

Answer: A,D

Explanation:
A: If the ApproximateAgeOfOldestMessages indicate that orders are remaining in the SQS queue for longer than expected, the reserved concurrency limit may be set too small to keep up with the number of orders entering the queue and is being throttled. D: The DynamoDB table is using Auto Scaling. With Auto Scaling, you create a scaling policy that specifies whether you want to scale read capacity or write capacity (or both), and the minimum and maximum provisioned capacity unit settings for the table. The ThottledWriteRequests metric will indicate if there is a throttling issue on the DynamoDB table, which can be resolved by increasing the maximum write capacity units for the table's Auto Scaling policy.https://docs.aws.amazon.com
/amazondynamodb/latest/developerguide/AutoScaling.html

NEW QUESTION # 110
A company manages multiple AWS accounts in AWS Organizations. The company's security policy states that AWS account root user credentials for member accounts must not be used. The company monitors access to the root user credentials.
A recent alert shows that the root user in a member account launched an Amazon EC2 instance. A DevOps engineer must create an SCP at the organization's root level that will prevent the root user in member accounts from making any AWS service API calls.
Which SCP will meet these requirements?

Answer: A

NEW QUESTION # 111
A DevOps engineer is setting up a container-based architecture. The engineer has decided to use AWS CloudFormation to automatically provision an Amazon ECS cluster and an Amazon EC2 Auto Scaling group to launch the EC2 container instances. After successfully creating the CloudFormation stack, the engineer noticed that, even though the ECS cluster and the EC2 instances were created successfully and the stack finished the creation, the EC2 instances were associating with a different cluster.
How should the DevOps engineer update the CloudFormation template to resolve this issue?

A. Reference the ECS cluster in the AWS: CloudFormation: CustomResource resource to trigger an AWS Lambda function that registers the EC2 instances with the appropriate ECS cluster.
B. Reference the ECS cluster in the AWS: AutoScaling: LaunchConfiguration resource of the UserData property.
C. Reference the EC2 instances in the AWS: ECS: Cluster resource and reference the ECS cluster in the AWS: ECS: Service resource.
D. Reference the ECS cluster in the AWS:EC2: lnstance resource of the UserData property.

Answer: B

Explanation:
The UserData property of the AWS: AutoScaling: LaunchConfiguration resource can be used to specify a script that runs when the EC2 instances are launched. This script can include the ECS cluster name as an environment variable for the ECS agent running on the EC2 instances. This way, the EC2 instances will register with the correct ECS cluster. Option A is incorrect because the AWS: ECS: Cluster resource does not have a property to reference the EC2 instances. Option C is incorrect because the EC2 instances are launched by the Auto Scaling group, not by the AWS: EC2: Instance resource. Option D is incorrect because using a custom resource and a Lambda function is unnecessary and overly complex for this scenario. Reference: AWS::AutoScaling::LaunchConfiguration, Amazon ECS Container Agent Configuration

NEW QUESTION # 112
A development team wants to use AWS CloudFormation stacks to deploy an application. However, the developer IAM role does not have the required permissions to provision the resources that are specified in the AWS CloudFormation template. A DevOps engineer needs to implement a solution that allows the developers to deploy the stacks. The solution must follow the principle of least privilege.
Which solution will meet these requirements?

A. Create an AWS CloudFormation service role that has the required permissions. Grant the developer IAM role the iam:PassRole permission. Use the new service role during stack deployments.
B. Create an IAM policy that allows the developers to provision the required resources. Attach the policy to the developer IAM role.
C. Create an AWS CloudFormation service role that has the required permissions. Grant the developer IAM role a cloudformation:* action. Use the new service role during stack deployments.
D. Create an IAM policy that allows full access to AWS CloudFormation. Attach the policy to the developer IAM role.

Answer: A

Explanation:
Explanation
https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/using-iam-servicerole.html

NEW QUESTION # 113
A company recently deployed its web application on AWS. The company is preparing for a large-scale sales event and must ensure that the web application can scale to meet the demand The application's frontend infrastructure includes an Amazon CloudFront distribution that has an Amazon S3 bucket as an origin. The backend infrastructure includes an Amazon API Gateway API. several AWS Lambda functions, and an Amazon Aurora DB cluster The company's DevOps engineer conducts a load test and identifies that the Lambda functions can fulfill the peak number of requests However, the DevOps engineer notices request latency during the initial burst of requests Most of the requests to the Lambda functions produce queries to the database A large portion of the invocation time is used to establish database connections Which combination of steps will provide the application with the required scalability? (Select TWO)

A. Configure a higher reserved concurrency for the Lambda functions.
B. Refactor the Lambda Functions Move the code blocks that initialize database connections into the function handlers.
C. Use Amazon RDS Proxy to create a proxy for the Aurora database Update the Lambda functions to use the proxy endpoints for database connections.
D. Configure a higher provisioned concurrency for the Lambda functions
E. Convert the DB cluster to an Aurora global database Add additional Aurora Replicas in AWS Regions based on the locations of the company's customers.

Answer: C,D

Explanation:
Explanation
The correct answer is B and E. Configuring a higher provisioned concurrency for the Lambda functions will ensure that the functions are ready to respond to the initial burst of requests without any cold start latency.
Using Amazon RDS Proxy to create a proxy for the Aurora database will enable the Lambda functions to reuse existing database connections and reduce the overhead of establishing new ones. This will also improve the scalability and availability of the database by managing the connection pool size and handling failovers.
Option A is incorrect because reserved concurrency only limits the number of concurrent executions for a function, not pre-warms them. Option C is incorrect because converting the DB cluster to an Aurora global database will not address the issue of database connection latency, and may introduce additional costs and complexity. Option D is incorrect because moving the code blocks that initialize database connections into the function handlers will not improve the performance or scalability of the Lambda functions, and may actually worsen the cold start latency. References:
* AWS Lambda Provisioned Concurrency
* Using Amazon RDS Proxy with AWS Lambda
* Certified DevOps Engineer - Professional (DOP-C02) Study Guide (page 173)

NEW QUESTION # 114
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