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The DOP-C02 exam covers a wide range of topics related to DevOps engineering on AWS, including continuous integration and delivery (CI/CD), monitoring and logging, infrastructure as code (IaC), security, and automation. Candidates are expected to demonstrate a deep understanding of AWS services and how they can be used to build and deploy applications in a DevOps environment. DOP-C02 Exam consists of 75 multiple-choice and multiple-response questions and must be completed within 180 minutes.
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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.
NEW QUESTION # 392
A company uses an AWS CodeArtifact repository to store Python packages that the company developed internally. A DevOps engineer needs to use AWS CodeDeploy to deploy an application to an Amazon EC2 instance. The application uses a Python package that is stored in the CodeArtifact repository. A BeforeInstall lifecycle event hook will install the package.
The DevOps engineer needs to grant the EC2 instance access to the CodeArtifact repository.
Which solution will meet this requirement?
Answer: C
Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
To allow an EC2 instance to access CodeArtifact, anIAM role attached via an instance profilemust be granted permissions to access the CodeArtifact repository. The EC2 instance assumes this role.
The instance then uses the AWS CLI command aws codeartifact login to authenticate and configure the package manager (e.g., pip) to use the CodeArtifact repository. This command obtains an authorization token and sets up repository credentials securely on the instance.
Service-linked roles (Option A) are managed by AWS services, not used for instance access. CodeArtifact does not support ACLs (Option C), and resource-based policies (Option B) do not grant access to EC2 instances by principal.
This method is standard for securely managing credentials and access to CodeArtifact in automated deployments.
Reference:
AWS CodeArtifact Access Control and Authentication:"Use IAM roles attached to compute resources and the aws codeartifact login command to authenticate to repositories."(AWS CodeArtifact Developer Guide)
NEW QUESTION # 393
A company has an application that runs on AWS Lambda and sends logs to Amazon CloudWatch Logs. An Amazon Kinesis data stream is subscribed to the log groups in CloudWatch Logs. A single consumer Lambda function processes the logs from the data stream and stores the logs in an Amazon S3 bucket.
The company's DevOps team has noticed high latency during the processing and ingestion of some logs.
Which combination of steps will reduce the latency? (Select THREE.)
Answer: A,B,C
Explanation:
Explanation
The latency in processing and ingesting logs can be caused by several factors, such as the throughput of the Kinesis data stream, the concurrency of the Lambda function, and the configuration of the event source mapping. To reduce the latency, the following steps can be taken:
* Create a data stream consumer with enhanced fan-out. Set the Lambda function that processes the logs as the consumer. This will allow the Lambda function to receive records from the data stream with dedicated throughput of up to 2 MB per second per shard, independent of other consumers1. This will reduce the contention and delay in accessing the data stream.
* Increase the ParallelizationFactor setting in the Lambda event source mapping. This will allow the Lambda service to invoke more instances of the function concurrently to process the records from the data stream2. This will increase the processing capacity and reduce the backlog of records in the data stream.
* Configure reserved concurrency for the Lambda function that processes the logs. This will ensure that the function has enough concurrency available to handle the increased load from the data stream3. This will prevent the function from being throttled by the account-level concurrency limit.
The other options are not effective or may have negative impacts on the latency. Option D is not suitable because increasing the batch size in the Kinesis data stream will increase the amount of data that the Lambda function has to process in each invocation, which may increase the execution time and latency4. Option E is not advisable because turning off the ReportBatchItemFailures setting in the Lambda event source mapping will prevent the Lambda service from retrying the failed records, which may result in data loss. Option F is not necessary because increasing the number of shards in the Kinesis data stream will increase the throughput of the data stream, but it will not affect the processing speed of the Lambda function, which is the bottleneck in this scenario.
References:
* 1: Using AWS Lambda with Amazon Kinesis Data Streams - AWS Lambda
* 2: AWS Lambda event source mappings - AWS Lambda
* 3: Managing concurrency for a Lambda function - AWS Lambda
* 4: AWS Lambda function scaling - AWS Lambda
* : AWS Lambda event source mappings - AWS Lambda
* : Scaling Amazon Kinesis Data Streams with AWS CloudFormation - Amazon Kinesis Data Streams
NEW QUESTION # 394
A security review has identified that an AWS CodeBuild project is downloading a database population script from an Amazon S3 bucket using an unauthenticated request. The security team does not allow unauthenticated requests to S3 buckets for this project.
How can this issue be corrected in the MOST secure manner?
Answer: B
Explanation:
Explanation
A bucket policy is a resource-based policy that defines who can access a specific S3 bucket and what actions they can perform on it. By removing unauthenticated access from the bucket policy, you can prevent anyone without valid credentials from accessing the bucket. A service role is an IAM role that allows an AWS service, such as CodeBuild, to perform actions on your behalf. By modifying the service role for the CodeBuild project to include Amazon S3 access, you can grant the project permission to read and write objects in the S3 bucket.
The AWS CLI is a command-line tool that allows you to interact with AWS services, such as S3, using commands in your terminal. By using the AWS CLI to download the database population script, you can leverage the service role credentials and encryption to secure the data transfer.
For more information, you can refer to these web pages:
[Using bucket policies and user policies - Amazon Simple Storage Service]
[Create a service role for CodeBuild - AWS CodeBuild]
[AWS Command Line Interface]
NEW QUESTION # 395
A company needs to adopt a multi-account strategy to deploy its applications and the associated CI/CD infrastructure. The company has created an organization in AWS Organizations that has all features enabled.
The company has configured AWS Control Tower and has set up a landing zone.
The company needs to use AWS Control Tower controls (guardrails) in all AWS accounts in the organization.
The company must create the accounts for a multi-environment application and must ensure that all accounts are configured to an initial baseline.
Which solution will meet these requirements with the LEAST operational overhead?
Answer: A
Explanation:
AWS Control Tower provides Account Factory and Account Factory Customizations (AFC) as the lowest- overhead and most scalable method for creating and configuring new accounts. AFC allows you to define blueprints that include mandatory baseline resources such as IAM roles, logging configurations, guardrails, network settings, and tagging standards. When accounts are created through Account Factory using a customization blueprint, all controls and baseline configurations are applied automatically during provisioning, without any additional automation steps or StackSet deployments.
Option B requires running StackSets after the account is created, which adds manual management overhead and defeats the built-in automation advantages of Control Tower. Options C and D rely on manually provisioning accounts via AWS Organizations, which bypasses Control Tower's governance and would require custom Lambda or StackSet automation to replicate controls that Control Tower already provides automatically.
Because the question explicitly asks for the least operational overhead, the correct answer is to use the Control Tower AFC blueprint, ensuring every account is born compliant with the required guardrails and baseline configuration.
NEW QUESTION # 396
A company uses AWS Storage Gateway in file gateway mode in front of an Amazon S3 bucket that is used by multiple resources. In the morning when business begins, users do not see the objects processed by a third party the previous evening. When a DevOps engineer looks directly at the S3 bucket, the data is there, but it is missing in Storage Gateway.
Which solution ensures that all the updated third-party files are available in the morning?
Answer: B
Explanation:
https://docs.aws.amazon.com/storagegateway/latest/APIReference/API_RefreshCache.html " It only updates the cached inventory to reflect changes in the inventory of the objects in the S3 bucket. This operation is only supported in the S3 File Gateway types."
NEW QUESTION # 397
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