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Amazon DOP-C02 (AWS Certified DevOps Engineer - Professional) Exam is a certification program offered by Amazon Web Services (AWS) to professionals who are interested in pursuing a career in the field of DevOps. AWS Certified DevOps Engineer - Professional certification program is designed to validate the skills and expertise required to manage and deploy applications on the AWS platform using DevOps principles and practices.

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Amazon DOP-C02 Certification is an essential credential for professionals who want to demonstrate their expertise in DevOps practices and AWS technologies. It is a challenging exam that requires significant preparation and experience, but it can be a valuable investment in your career growth and advancement as a DevOps engineer.

Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q55-Q60):

NEW QUESTION # 55
A company is launching an application that stores raw data in an Amazon S3 bucket. Three applications need to access the data to generate reports. The data must be redacted differently for each application before the applications can access the data.
Which solution will meet these requirements?

A. Create an S3 bucket for each application. Configure S3 Same-Region Replication (SRR) from the raw data's S3 bucket to each application's S3 bucket. Configure each application to consume data from its own S3 bucket.
B. For each application, create an S3 access point that uses the raw data's S3 bucket as the destination. Create an AWS Lambda function that is invoked by object creation events in the raw data's S3 bucket. Program the Lambda function to redact data for each application. Store the data in each application's S3 access point. Configure each application to consume data from its own S3 access point.
C. Create an S3 access point that uses the raw data's S3 bucket as the destination. For each application, create an S3 Object Lambda access point that uses the S3 access point. Configure the AWS Lambda function for each S3 Object Lambda access point to redact data when objects are retrieved. Configure each application to consume data from its own S3 Object Lambda access point.
D. Create an Amazon Kinesis data stream. Create an AWS Lambda function that is invoked by object creation events in the raw data's S3 bucket. Program the Lambda function to redact data for each application. Publish the data on the Kinesis data stream. Configure each application to consume data from the Kinesis data stream.

Answer: C

Explanation:
The best solution is to use S3 Object Lambda1, which allows you to add your own code to S3 GET, LIST, and HEAD requests to modify and process data as it is returned to an application2. This way, you can redact the data differently for each application without creating and storing multiple copies of the data or running proxies.
The other solutions are less efficient or scalable because they require replicating the data to multiple buckets, streaming the data through Kinesis, or storing the data in S3 access points.
1: Amazon S3 Features | Object Lambda | AWS 2: Transforming objects with S3 Object Lambda - Amazon Simple Storage Service

NEW QUESTION # 56
A Company uses AWS CodeCommit for source code control. Developers apply their changes to various feature branches and create pull requests to move those changes to the main branch when the changes are ready for production.
The developers should not be able to push changes directly to the main branch. The company applied the AWSCodeCommitPowerUser managed policy to the developers' IAM role, and now these developers can push changes to the main branch directly on every repository in the AWS account.
What should the company do to restrict the developers' ability to push changes to the main branch directly?

A. Create an additional policy to include an Allow rule for the GitPush and PutFile actions. Include a restriction for the specific repositories in the policy statement with a condition that references the feature branches.
B. Remove the IAM policy, and add an AWSCodeCommitReadOnly managed policy. Add an Allow rule for the GitPush and PutFile actions for the specific repositories in the policy statement with a condition that references the mam branch.
C. Create an additional policy to include a Deny rule for the GitPush and PutFile actions. Include a restriction for the specific restriction for the specific repositories in the policy repositories in the policy statement with a condition that references the main branch.
A Create an additional policy to include a Deny rule for the GitPush and PutFile actions Include a restriction for the specific repositories in the policy statement with a condition that references the main branch
D. Modify the IAM policy Include a Deny rule for the GitPush and PutFile actions for the specific repositories in the policy statement with a condition that references the main branch.

Answer: C

Explanation:
By default, the AWSCodeCommitPowerUser managed policy allows users to push changes to any branch in any repository in the AWS account. To restrict the developers' ability to push changes to the main branch directly, an additional policy is needed that explicitly denies these actions for the main branch.
The Deny rule should be included in a policy statement that targets the specific repositories and includes a condition that references the main branch. The policy statement should look something like this:
{
"Effect": "Deny",
"Action": [
"codecommit:GitPush",
"codecommit:PutFile"
],
"Resource": "arn:aws:codecommit:<region>:<account-id>:<repository-name>",
"Condition": {
"StringEqualsIfExists": {
"codecommit:References": [
"refs/heads/main"
]
}
}

NEW QUESTION # 57
A company is using an organization in AWS Organizations to manage multiple AWS accounts. The company
' s development team wants to use AWS Lambda functions to meet resiliency requirements and is rewriting all applications to work with Lambda functions that are deployed in a VPC. The development team is using Amazon Elastic Pile System (Amazon EFS) as shared storage in Account A in the organization.
The company wants to continue to use Amazon EPS with Lambda Company policy requires all serverless projects to be deployed in Account B.
A DevOps engineer needs to reconfigure an existing EFS file system to allow Lambda functions to access the data through an existing EPS access point.
Which combination of steps should the DevOps engineer take to meet these requirements? (Select THREE.)

A. Create a VPC peering connection to connect Account A to Account B.
B. Create a new EFS file system in Account B Use AWS Database Migration Service (AWS DMS) to keep data from Account A and Account B synchronized.
C. Update the Lambda execution roles with permission to access the VPC and the EFS file system.
D. Update the EFS file system policy to provide Account B with access to mount and write to the EFS file system in Account A.
E. Configure the Lambda functions in Account B to assume an existing IAM role in Account A.
F. Create SCPs to set permission guardrails with fine-grained control for Amazon EFS.

Answer: A,D,E

Explanation:
A Lambda function in one account can mount a file system in a different account. For this scenario, you configure VPC peering between the function VPC and the file system VPC. https://docs.aws.amazon.com
/lambda/latest/dg/services-efs.html
https://aws.amazon.com/ru/blogs/storage/mount-amazon-efs-file-systems-cross-account-from-amazon-eks/
1. Need to update the file system policy on EFS to allow mounting the file system into Account B.
## File System Policy
$ cat file-system-policy.json
{
" Statement " : [
{
" Effect " : " Allow " ,
" Action " : [
" elasticfilesystem:ClientMount " ,
" elasticfilesystem:ClientWrite "
],
" Principal " : {
" AWS " : " arn:aws:iam:: < aws-account-id-A > :root " # Replace with AWS account ID of EKS cluster
}
}
]
}
2. Need VPC peering between Account A and Account B as the pre-requisite
3. Need to assume cross-account IAM role to describe the mounts so that a specific mount can be chosen.

NEW QUESTION # 58
A large enterprise is deploying a web application on AWS. The application runs on Amazon EC2 instances behind an Application Load Balancer. The instances run in an Auto Scaling group across multiple Availability Zones. The application stores data in an Amazon RDS for Oracle DB instance and Amazon DynamoDB.
There are separate environments tor development testing and production.
What is the MOST secure and flexible way to obtain password credentials during deployment?

A. Retrieve an access key from an AWS Systems Manager securestring parameter to access AWS services.
Retrieve the database credentials from a Systems Manager SecureString parameter.
B. Launch the EC2 instances with an EC2 1AM role to access AWS services Retrieve the database credentials from AWS Secrets Manager.
C. Retrieve an access key from an AWS Systems Manager plaintext parameter to access AWS services.
Retrieve the database credentials from a Systems Manager SecureString parameter.
D. Launch the EC2 instances with an EC2 1AM role to access AWS services Store the database passwords in an encrypted config file with the application artifacts.

Answer: B

Explanation:
AWS Secrets Manager is a secrets management service that helps you protect access to your applications, services, and IT resources. This service enables you to easily rotate, manage, and retrieve database credentials, API keys, and other secrets throughout their lifecycle. Using Secrets Manager, you can secure and manage secrets used to access resources in the AWS Cloud, on third-party services, and on-premises. SSM parameter store and AWS Secret manager are both a secure option. However, Secrets manager is more flexible and has more options like password generation. Reference: https://www.1strategy.com/blog/2019/02
/28/aws-parameter-store-vs-aws-secrets-manager/

NEW QUESTION # 59
A company that uses electronic patient health records runs a fleet of Amazon EC2 instances with an Amazon Linux operating system. The company must continuously ensure that the EC2 instances are running operating system patches and application patches that are in compliance with current privacy regulations. The company uses a custom repository to store application patches.
A DevOps engineer needs to automate the deployment of operating system patches and application patches.
The DevOps engineer wants to use both the default operating system patch repository and the custom patch repository.
Which solution will meet these requirements with the LEAST effort?

A. Use the yum-config-manager command to add the custom repository to the /etc/yum.repos.d configuration. Run the yum-config-manager-enable command to activate the new repository.
B. Use AWS Systems Manager to create a patch baseline for the default operating system repository and a second patch baseline for the custom repository. Run the AWS-RunPatchBaseline document by using the Run command to verify and install patches. Use the BaselineOverride API to configure the default patch baseline and the custom patch baseline.
C. Use AWS Systems Manager to create a new custom patch baseline that includes the default operating system repository and the custom repository. Run the AWS-RunPatchBaseline document by using the Run command to verify and install patches. Use the BaselineOverride API to configure the new custom patch baseline.
D. Use AWS Direct Connect to integrate the custom repository with the EC2 instances. Use Amazon EventBridge events to deploy the patches.

Answer: A

Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
The operating system (Amazon Linux) uses yum for package management. To use both the default and a custom repository, the simplest method is to add the custom repository configuration file under /etc/yum.repos.
d/ using the yum-config-manager CLI, and enable it. This allows the system to access both repositories during patching automatically.
This approach requires minimal setup and effort and leverages the existing yum patching mechanisms.
Option A and D involve managing multiple patch baselines in Systems Manager Patch Manager, which does not natively support custom repositories - it relies on the underlying OS package manager.
Option B (Direct Connect) is not necessary unless network connectivity is an issue.
Thus, option C meets the requirement with the least effort.
Reference:
Managing Custom Repositories on Amazon Linux:"To add a custom yum repository, add a repo file in /etc
/yum.repos.d/ and enable it using yum-config-manager."(Amazon Linux Repository Management) AWS Systems Manager Patch Manager:"Patch Manager uses the OS package manager, so custom repositories must be configured at the OS level."(AWS Patch Manager)

NEW QUESTION # 60
......

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