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Amazon DOP-C02 (AWS Certified DevOps Engineer - Professional) Certification Exam is a highly sought-after certification for those looking to establish themselves in the field of DevOps engineering. AWS Certified DevOps Engineer - Professional certification is designed to test the skills and knowledge necessary for professionals to manage and operate distributed application systems using AWS tools and services.

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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Achieving the DOP-C02 Certification demonstrates that an individual has in-depth knowledge of AWS services and how they can be used to implement and manage DevOps practices. It also validates the individual's ability to design and implement highly available, fault-tolerant, and scalable AWS systems. AWS Certified DevOps Engineer - Professional certification can enhance the individual's career prospects and make them more marketable to potential employers.

Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q266-Q271):

NEW QUESTION # 266
A DevOps engineer manages a company's Amazon Elastic Container Service (Amazon ECS) cluster. The cluster runs on several Amazon EC2 instances that are in an Auto Scaling group. The DevOps engineer must implement a solution that logs and reviews all stopped tasks for errors.
Which solution will meet these requirements?

A. Configure the EC2 instances to store logs in Amazon CloudWatch Logs. Create a CloudWatch Contributor Insights rule that uses the EC2 instance log data. Use the Contributor Insights rule to investigate stopped tasks.
B. Create an Amazon EventBridge rule to capture task state changes. Send the event to Amazon CloudWatch Logs. Use CloudWatch Logs Insights to investigate stopped tasks.
C. Configure tasks to write log data in the embedded metric format. Store the logs in Amazon CloudWatch Logs. Monitor the ContainerInstanceCount metric for changes.
D. Configure an EC2 Auto Scaling lifecycle hook for the EC2_INSTANCE_TERMINATING scale-in event. Write the SystemEventLog file to Amazon S3. Use Amazon Athena to query the log file for errors.

Answer: B

Explanation:
The best solution to log and review all stopped tasks for errors is to use Amazon EventBridge and Amazon CloudWatch Logs. Amazon EventBridge allows the DevOps engineer to create a rule that matches task state change events from Amazon ECS. The rule can then send the event data to Amazon CloudWatch Logs as the target. Amazon CloudWatch Logs can store and monitor the log data, and also provide CloudWatch Logs Insights, a feature that enables the DevOps engineer to interactively search and analyze the log data. Using CloudWatch Logs Insights, the DevOps engineer can filter and aggregate the log data based on various fields, such as cluster, task, container, and reason. This way, the DevOps engineer can easily identify and investigate the stopped tasks and their errors.
The other options are not as effective or efficient as the solution in option A. Option B is not suitable because the embedded metric format is designed for custom metrics, not for logging task state changes. Option C is not feasible because the EC2 instances do not store the task state change events in their logs. Option D is not relevant because the EC2_INSTANCE_TERMINATING lifecycle hook is triggered when an EC2 instance is terminated by the Auto Scaling group, not when a task is stopped by Amazon ECS.
Reference:
1: Creating a CloudWatch Events Rule That Triggers on an Event - Amazon Elastic Container Service
2: Sending and Receiving Events Between AWS Accounts - Amazon EventBridge
3: Working with Log Data - Amazon CloudWatch Logs
4: Analyzing Log Data with CloudWatch Logs Insights - Amazon CloudWatch Logs
5: Embedded Metric Format - Amazon CloudWatch
6: Amazon EC2 Auto Scaling Lifecycle Hooks - Amazon EC2 Auto Scaling

NEW QUESTION # 267

A.
B.
C. Option D
D.
E.
F.
G.
H. Option C
I. Option A
J. Option B

Answer: A,B,C,D,I,J

Explanation:
The engineer should make the following changes to achieve a policy of least permission:
A: Add a condition to ensure that the principal making the request is an AWS Lambda function. This ensures that only Lambda functions can execute this policy.
B: Narrow down the resources by specifying the ARN of EC2 instances instead of allowing all resources. This ensures that the policy only affects EC2 instances.
D: Add a condition to ensure that this policy only applies to EC2 instances tagged with "Environment: NonProduction". This ensures that production environments are not affected by this policy.
Reference:
AWS Identity and Access Management (IAM) - AWS Documentation
Certified DevOps Engineer - Professional (DOP-C02) Study Guide (page 179)

NEW QUESTION # 268
A company is using an AWS CodeBuild project to build and package an application. The packages are copied to a shared Amazon S3 bucket before being deployed across multiple AWS accounts.
The buildspec.yml file contains the following:

The DevOps engineer has noticed that anybody with an AWS account is able to download the artifacts.
What steps should the DevOps engineer take to stop this?

A. Modify the post_build command to remove --acl authenticated-read and configure a bucket policy that allows read access to the relevant AWS accounts only.
B. Modify the post_build command to use --acl public-read and configure a bucket policy that grants read access to the relevant AWS accounts only.
C. Configure a default ACL for the S3 bucket that defines the set of authenticated users as the relevant AWS accounts only and grants read-only access.
D. Create an S3 bucket policy that grants read access to the relevant AWS accounts and denies read access to the principal "*".

Answer: A

Explanation:
When setting the flag authenticated-read in the command line, the owner gets FULL_CONTROL. The AuthenticatedUsers group (Anyone with an AWS account) gets READ access. Reference: https://docs.aws.amazon.com/AmazonS3/latest/userguide/acl-overview.html

NEW QUESTION # 269
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?

A. Remove unauthenticated access from the S3 bucket with a bucket policy. Use the AWS CLI to download the database population script using an IAM access key and a secret access key.
B. Remove unauthenticated access from the S3 bucket with a bucket policy. Modify the service role for the CodeBuild project to include Amazon S3 access. Use the AWS CLI to download the database population script.
C. Modify the S3 bucket settings to enable HTTPS basic authentication and specify a token. Update the build spec to use cURL to pass the token and download the database population script.
D. Add the bucket name to the AllowedBuckets section of the CodeBuild project settings. Update the build spec to use the AWS CLI to download the database population script.

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 # 270
An ecommerce company has chosen AWS to host its new platform. The company's DevOps team has started building an AWS Control Tower landing zone. The DevOps team has set the identity store within AWS IAM Identity Center (AWS Single Sign-On) to external identity provider (IdP) and has configured SAML 2.0.
The DevOps team wants a robust permission model that applies the principle of least privilege. The model must allow the team to build and manage only the team's own resources.
Which combination of steps will meet these requirements? (Choose three.)

A. Enable attributes for access control in IAM Identity Center. Apply tags to users. Map the tags as key-value pairs.
B. Create a group in the IdP. Place users in the group. Assign the group to accounts and the permission sets in IAM Identity Center.
C. Create IAM policies that include the required permissions. Include the aws:PrincipalTag condition key.
D. Create a group in the IdP. Place users in the group. Assign the group to OUs and IAM policies.
E. Create permission sets. Attach an inline policy that includes the required permissions and uses the aws:PrincipalTag condition key to scope the permissions.
F. Enable attributes for access control in IAM Identity Center. Map attributes from the IdP as key-value pairs.

Answer: B,E,F

Explanation:
Using the principalTag in the Permission Set inline policy a logged in user belonging to a specific AD group in the IDP can be permitted access to perform operations on certain resources if their group matches the group used in the PrincipleTag. Basically you are narrowing the scope of privileges assigned via Permission policies conditionally based on whether the logged in user belongs to a specific AD Group in IDP. The mapping of the AD group to the request attributes can be done using SSO attributes where we can pass other attributes like the SAML token as well.
https://docs.aws.amazon.com/singlesignon/latest/userguide/abac.html

NEW QUESTION # 271
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Hot Latest DOP-C02 Test Question - Pass DOP-C02 in One Time - Accurate DOP-C02 Exam Objectives

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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q266-Q271):

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