Pass Guaranteed Quiz DOP-C02 - AWS Certified DevOps Engineer - Professional Unparalleled Reliable Test Question

Our DOP-C02 exam preparation materials are the hard-won fruit of our experts with their unswerving efforts in designing products and choosing test questions. Pass rate is what we care for preparing for an examination, which is the final goal of our DOP-C02 certification guide. According to the feedback of our users, we have the pass rate of 99%, which is equal to 100% in some sense. The high quality of our products also embodies in its short-time learning. You are only supposed to practice DOP-C02 Guide Torrent for about 20 to 30 hours before you are fully equipped to take part in the examination.

The Amazon DOP-C02 Exam consists of 75 multiple-choice and multiple-response questions, and the candidate has 170 minutes to complete it. DOP-C02 exam is available in English, Japanese, Korean, and Simplified Chinese languages. DOP-C02 exam fee is $300, and the certification is valid for three years. To pass the exam, the candidate needs to score 750 out of 1000.

Amazon DOP-C02: AWS Certified DevOps Engineer - Professional Exam is a highly recognized certification exam for DevOps engineers. It is designed to validate a candidate's expertise in implementing and managing continuous delivery systems and methodologies using AWS services and tools. AWS Certified DevOps Engineer - Professional certification exam is ideal for professionals who want to demonstrate their advanced knowledge and skills in DevOps practices and AWS technologies.

>> DOP-C02 Reliable Test Question <<

Amazon DOP-C02 Dumps-Effective Tips To Pass

The meaning of qualifying examinations is, in some ways, to prove the candidate's ability to obtain qualifications that show your ability in various fields of expertise. If you choose our DOP-C02 study materials, you can create more unlimited value in the limited study time, learn more knowledge, and take the exam that you can take. Through qualifying examinations, this is our DOP-C02 Study Materials and the common goal of every user, we are trustworthy helpers, so please don't miss such a good opportunity.

The AWS Certified DevOps Engineer - Professional Exam tests a candidate's knowledge and expertise in designing, managing, and maintaining AWS services for the purposes of DevOps. This includes continuous delivery, automation, monitoring, and infrastructure as code. In order to Pass DOP-C02 Exam, candidates must have experience with AWS services and must be proficient in working with AWS tools such as AWS Elastic Beanstalk, AWS CodePipeline, AWS CodeDeploy, and AWS CloudFormation.

Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q194-Q199):

NEW QUESTION # 194
A company's security policies require the use of security hardened AMIS in production environments. A DevOps engineer has used EC2 Image Builder to create a pipeline that builds the AMIs on a recurring schedule.
The DevOps engineer needs to update the launch templates of the companys Auto Scaling groups. The Auto Scaling groups must use the newest AMIS during the launch of Amazon EC2 instances.
Which solution will meet these requirements with the MOST operational efficiency?

A. Configure the launch template to use a value from AWS Systems Manager Parameter Store for the AMI ID. Configure the Image Builder pipeline to update the Parameter Store value with the newest AMI ID.
B. Configure an Amazon EventBridge rule to receive new AMI events from Image Builder. Target an AWS Systems Manager Run Command document that updates the launch templates of the Auto Scaling groups with the newest AMI ID.
C. Configure the Image Builder distribution settings to update the launch templates with the newest AMI ID. Configure the Auto Scaling groups to use the newest version of the launch template.
D. Configure an Amazon EventBridge rule to receive new AMI events from Image Builder. Target an AWS Lambda function that updates the launch templates of the Auto Scaling groups with the newest AMI ID.

Answer: A

Explanation:
* The most operationally efficient solution is to use AWS Systems Manager Parameter Store1 to store the AMI ID and reference it in the launch template2. This way, the launch template does not need to be updated every time a new AMI is created by Image Builder. Instead, the Image Builder pipeline can update theParameter Store value with the newest AMI ID3, and the Auto Scaling group can launch instances using the latest value from Parameter Store.
* The other solutions require updating the launch template or creating a new version of it every time a new AMI is created, which adds complexity and overhead. Additionally, using EventBridge rules and Lambda functions or RunCommand documents introduces additional dependencies and potential points of failure.
References: 1: AWS Systems Manager Parameter Store 2: Using AWS Systems Manager parameters instead of AMI IDs in launch templates 3: Update an SSM parameter with Image Builder

NEW QUESTION # 195
A company has a new AWS account that teams will use to deploy various applications. The teams will create many Amazon S3 buckets for application- specific purposes and to store AWS CloudTrail logs. The company has enabled Amazon Macie for the account.
A DevOps engineer needs to optimize the Macie costs for the account without compromising the account's functionality.
Which solutions will meet these requirements? (Select TWO.)

A. Exclude S3 buckets that contain CloudTrail logs from automated discovery.
B. Exclude S3 buckets that have public read access from automated discovery.
C. Configure scheduled daily discovery jobs for all S3 buckets in the account.
D. Configure discovery jobs to include S3 objects that are tagged as production only.
E. Configure discovery jobs to include S3 objects based on the last modified criterion.

Answer: A,E

Explanation:
To optimize the Macie costs for the account without compromising the account's functionality, the DevOps engineer needs to exclude S3 buckets that do not contain sensitive data from automated discovery. S3 buckets that contain CloudTrail logs are unlikely to have sensitive data, and Macie charges for scanning and monitoring data in S3 buckets. Therefore, excluding S3 buckets that contain CloudTrail logs from automated discovery can reduce Macie costs. Similarly, configuring discovery jobs to include S3 objects based on the last modified criterion can also reduce Macie costs, as it will only scan and monitor new or updated objects, rather than all objects in the bucket.

NEW QUESTION # 196
A company that uses electronic health records is running a fleet of Amazon EC2 instances with an Amazon Linux operating system. As part of patient privacy requirements, the company must ensure continuous compliance for patches for operating system and applications running on the EC2 instances.
How can the deployments of the operating system and application patches be automated using a default and custom repository?

A. Use AWS Systems Manager to create a new patch baseline including the corporate repository. Run the AWS-AmazonLinuxDefaultPatchBaseline document using the run command to verify and install patches.
B. Use AWS Systems Manager to create a new patch baseline including the custom repository. Run the AWS-RunPatchBaseline document using the run command to verify and install patches.
C. Use yum-config-manager to add the custom repository under /etc/yum.repos.d and run yum-config-manager-enable to activate the repository.
D. Use AWS Direct Connect to integrate the corporate repository and deploy the patches using Amazon CloudWatch scheduled events, then use the CloudWatch dashboard to create reports.

Answer: B

Explanation:
Explanation
https://docs.aws.amazon.com/systems-manager/latest/userguide/patch-manager-how-it-works-alt-source-reposito

NEW QUESTION # 197
A company has a legacy application A DevOps engineer needs to automate the process of building the deployable artifact for the legacy application. The solution must store the deployable artifact in an existing Amazon S3 bucket for future deployments to reference Which solution will meet these requirements in the MOST operationally efficient way?

A. Create a custom Docker image that contains all the dependencies tor the legacy application Store the custom Docker image in a new Amazon Elastic Container Registry (Amazon ECR) repository Configure a new AWS CodeBuild project to use the custom Docker image to build the deployable artifact and to save the artifact to the S3 bucket.
B. Create a custom EC2 Image Builder image Install all the dependencies for the legacy application on the image Launch a new Amazon EC2 instance from the image Use the new EC2 instance to build the deployable artifact and to save the artifact to the S3 bucket.
C. Create an Amazon Elastic Kubernetes Service (Amazon EKS) cluster with an AWS Fargate profile that runs in multiple Availability Zones Create a custom Docker image that contains all the dependencies for the legacy application Store the custom Docker image in a new Amazon Elastic Container Registry (Amazon ECR) repository Use the custom Docker image inside the EKS cluster to build the deployable artifact and to save the artifact to the S3 bucket.
D. Launch a new Amazon EC2 instance Install all the dependencies (or the legacy application on the EC2 instance Use the EC2 instance to build the deployable artifact and to save the artifact to the S3 bucket.

Answer: A

Explanation:
This approach is the most operationally efficient because it leverages the benefits of containerization, such as isolation and reproducibility, as well as AWS managed services. AWS CodeBuild is a fully managed build service that can compile your source code, run tests, and produce deployable software packages. By using a custom Docker image that includes all dependencies, you can ensure that the environment in which your code is built is consistent. Using Amazon ECR to store Docker images lets you easily deploy the images to any environment. Also, you can directly upload the build artifacts to Amazon S3 from AWS CodeBuild, which is beneficial for version control and archival purposes.

NEW QUESTION # 198
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 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
B. 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.
C. 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.
D. 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.

Answer: A

Explanation:
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 # 199
......

DOP-C02 Real Exam: https://www.practicetorrent.com/DOP-C02-practice-exam-torrent.html