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To become certified, candidates must pass a 180-minute exam that includes multiple-choice, multiple-response, and scenario-based questions. DOP-C02 exam is designed to test the candidate’s knowledge and skills in various areas of DevOps on AWS, including designing and managing continuous delivery systems, deploying and maintaining highly available and scalable systems, and automating and optimizing operational processes. The Amazon DOP-C02 certification is highly valued by employers and can help professionals advance their careers in the field of DevOps on AWS.

Amazon DOP-C02 Certification is ideal for IT professionals who are responsible for designing and implementing DevOps practices and tools in an AWS environment. AWS Certified DevOps Engineer - Professional certification is also suitable for those who want to validate their expertise in DevOps and AWS and enhance their career opportunities. AWS Certified DevOps Engineer - Professional certification is recognized globally, and AWS is one of the most popular cloud service providers, making this certification highly sought after.

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The AWS Certified DevOps Engineer - Professional (DOP-C02) certification exam is a highly sought-after certification in the field of cloud computing. AWS Certified DevOps Engineer - Professional certification is designed for experienced DevOps professionals who have a deep understanding of the AWS platform and possess advanced skills in automating, monitoring, and maintaining AWS services. It is a prestigious certification that validates the expertise and knowledge of professionals in the field of DevOps.

Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q363-Q368):

NEW QUESTION # 363
A company uses an organization in AWS Organizations to manage several AWS accounts that the company's developers use. The company requires all data to be encrypted in transit.
Multiple Amazon S3 buckets that were created in developer accounts allow unencrypted connections. A DevOps engineer must enforce encryption of data in transit for all existing S3 buckets that are created in accounts in the organization.
Which solution will meet these requirements?

Answer: C

Explanation:
Step 1: Enabling AWS Config for the Organization
The first step is to enable AWS Config across the AWS Organization. AWS Config is a service that enables you to assess, audit, and evaluate the configurations of your AWS resources. By enabling AWS Config, you can ensure that all S3 buckets within the organization are tracked and evaluated according to compliance rules.
Action: Turn on AWS Config for all AWS accounts in the organization.
Why: AWS Config will help monitor all resources (like S3 buckets) in real time to detect whether they are compliant with security policies.
Reference:
Step 2: Deploying a Conformance Pack with Managed Rules
After AWS Config is enabled, you need to deploy a conformance pack that contains the s3-bucket-ssi-requests-only managed rule. This rule enforces that all S3 buckets only allow requests using Secure Socket Layer (SSL) connections (HTTPS).
Action: Deploy a conformance pack that uses the s3-bucket-ssi-requests-only rule. This rule ensures that only SSL connections (for encrypted data in transit) are allowed when accessing S3.
Why: This rule guarantees that data is encrypted in transit by enforcing SSL connections to the S3 buckets.
Step 3: Using an AWS Systems Manager Automation Runbook
To automatically remediate the compliance issues, such as S3 buckets allowing non-SSL requests, a Systems Manager Automation runbook is deployed. The runbook will automatically add a bucket policy that denies access to any requests that do not use SSL.
Action: Use a Systems Manager Automation runbook that adds a bucket policy statement to deny access when the aws:SecureTransport condition key is false.
Why: This ensures that all S3 buckets across the organization comply with the policy of enforcing encrypted data in transit.
This corresponds to Option C: Turn on AWS Config for the organization. Deploy a conformance pack that uses the s3-bucket-ssi-requests-only managed rule and an AWS Systems Manager Automation runbook. Use a runbook that adds a bucket policy statement to deny access to an S3 bucket when the value of the aws:SecureTransport condition key is false.


NEW QUESTION # 364
A company runs an application on Amazon EC2 instances. The company uses a series of AWS CloudFormation stacks to define the application resources. A developer performs updates by building and testing the application on a laptop and then uploading the build output and CloudFormation stack templates to Amazon S3. The developer's peers review the changes before the developer performs the CloudFormation stack update and installs a new version of the application onto the EC2 instances.
The deployment process is prone to errors and is time-consuming when the developer updates each EC2 instance with the new application. The company wants to automate as much of the application deployment process as possible while retaining a final manual approval step before the modification of the application or resources.
The company already has moved the source code for the application and the CloudFormation templates to AWS CodeCommit. The company also has created an AWS CodeBuild project to build and test the application.
Which combination of steps will meet the company's requirements? (Choose two.)

Answer: C,D

Explanation:
Explanation
A- https://docs.aws.amazon.com/codedeploy/latest/userguide/codedeploy-agent.html D - This option correctly utilizes AWS CodePipeline to invoke the CodeBuild job and create CloudFormation change sets. It adds a manual approval step before executing the change sets and starting the AWS CodeDeploy deployment. This ensures that the deployment process is automated while retaining the final manual approval step.


NEW QUESTION # 365
A company wants to improve its security practices by enforcing least privilege across all projects. Developers must be able to access Amazon EC2 resources but not Amazon RDS resources. Database administrators must have access only to Amazon RDS resources.
Every employee has a unique IAM user. There are already pre-existing IAM policies for developer and database administrator job functions. All AWS resources are already tagged with appropriate project tags. All the IAM users are tagged with the appropriate project and job function.
The company must ensure that each employee can access only the project that the employee is working on.
Which solution will meet these requirements? (Select THREE.)

Answer: A,B,C

Explanation:
The requirements describe a classic attribute-based access control (ABAC) model using AWS IAM. The company already has consistent tagging across users and resources, which is ideal for ABAC and least- privilege enforcement at scale.
First, Option A is required because IAM roles should represent job functions (developer vs. database administrator) and be scoped per project. Creating separate roles per project and job function allows permissions to be isolated cleanly and prevents cross-project access.
Second, Option B enforces project-level isolation at the policy level. By modifying the existing job-function policies to include a StringEquals condition that compares aws:ResourceTag/Project with aws:PrincipalTag
/Project, access is automatically limited to only those resources that belong to the same project as the user.
This is an AWS-recommended ABAC pattern and avoids policy sprawl.
Third, Option C is required so users can assume roles only when their tags match the role's tags. An IAM policy attached to users that allows sts:AssumeRole only if both project and job function tags match ensures users cannot assume roles outside their assigned scope.
Options D, E, and F either misapply policies to the wrong entities, misuse tagging on policies (which IAM does not evaluate for authorization), or introduce unnecessary group-based management that conflicts with the ABAC design.
Therefore, A, B, and C together provide least privilege, project isolation, and scalable access control with minimal ongoing administration.


NEW QUESTION # 366
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.)

Answer: A,D,F

Explanation:
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 # 367
A company runs applications on Windows and Linux Amazon EC2 instances The instances run across multiple Availability Zones In an AWS Region. The company uses Auto Scaling groups for each application.
The company needs a durable storage solution for the instances. The solution must use SMB for Windows and must use NFS for Linux. The solution must also have sub-millisecond latencies. All instances will read and write the data.
Which combination of steps will meet these requirements? (Select THREE.)

Answer: D,E,F

Explanation:
Create an Amazon Elastic File System (Amazon EFS) File System with Targets in Multiple Availability Zones:
* Amazon EFS provides a scalable and highly available network file system that supports the NFS protocol. EFS is ideal for Linux instances as it allows multiple instances to read and write data concurrently.
* Setting up EFS with targets in multiple Availability Zones ensures high availability and durability.


NEW QUESTION # 368
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