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Amazon DOP-C01 (AWS Certified DevOps Engineer - Professional) Exam is a certification exam designed to test the knowledge and skills of experienced DevOps engineers. It is intended for individuals who have already earned the AWS Certified Developer - Associate or AWS Certified SysOps Administrator - Associate certification and have at least two years of hands-on experience with AWS.

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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q359-Q364):

NEW QUESTION # 359
A company is using AWS for an application. The Development team must automate its deployments. The team has set up an AWS CodePipeline to deploy the application to Amazon EC2 instances by using AWS CodeDeploy after it has been built using the AWS CodeBuild service.
The team would like to add automated testing to the pipeline to confirm that the application is healthy before deploying it to the next stage of the pipeline using the same code. The team requires a manual approval action before the application is deployed, even if the test is successful. The testing and approval must be accomplished at the lowest costs, using the simplest management solution.
Which solution will meet these requirements?

A. Add a manual approval action after the last deploy action of the pipeline. Use Amazon SNS to inform the team of the stage being triggered. Next, add a test action using CodeBuild to do the required tests.
At the end of the pipeline, add a deploy action to deploy the application to the next stage.
B. Add a test action after the last deployment action. Use a Jenkins server on Amazon EC2 to do the required tests and mark the action as successful if the tests pass. Create a manual approval action that uses Amazon SQS to notify the team and add a deploy action to deploy the application to the next stage.
C. Add a test action after the last deploy action of the pipeline. Configure the action to use CodeBuild to perform the required tests. If these tests are successful, mark the action as successful. Add a manual approval action that uses Amazon SNS to notify the team, and add a deploy action to deploy the application to the next stage.
D. Create a new pipeline that uses a source action that gets the code from the same repository as the first pipeline. Add a deploy action to deploy the code to a test environment. Use a test action using AWS Lambda to test the deployment. Add a manual approval action by using Amazon SNS to notify the team, and add a deploy action to deploy the application to the next stage.

Answer: A

NEW QUESTION # 360
A production account has a requirement that any Amazon EC2 instance that has been logged into manually must be terminated within 24 hours. All applications in the production account are using Auto Scaling groups with Amazon CloudWatch Logs agent configured.
How can this process be automated?

A. Create a CloudWatch Logs subscription in an AWS Lambda function. Configure the function to add a tag to the EC2 instance that produced the login event and mark the instance to be decommissioned.
Create a CloudWatch Events rule to trigger a daily Lambda function that terminates all instances with this tag.
B. Create a CloudWatch alarm that will trigger on the login event. Configure the alarm to send to an Amazon SQS queue. Use a group of worker instances to process messages from the queue, which then schedules the Amazon CloudWatch Events rule to trigger.
C. Create a CloudWatch Logs subscription to an AWS Step Functions application. Configure the function to add a tag to the EC2 instance that produced the login event and mark the instance to be decommissioned. Then create a CloudWatch Events rule to trigger a second AWS Lambda function once a day that will terminate all instances with this tag.
D. Create a CloudWatch alarm that will trigger on the login event. Send the notification to an Amazon SNS topic that the Operations team is subscribed to, and have them terminate the EC2 instance within 24 hours.

Answer: B

NEW QUESTION # 361
You have just developed a new mobile application that handles analytics workloads on large scale datasets that are stored on Amazon Redshift. Consequently, the application needs to access Amazon Redshift tables. Which of the below methods would be the best, both practically and security-wise, to access the tables? Choose the correct answer from the options below

A. Createan 1AM user and generate encryption keys for that user. Create a policy for RedShiftread-only access. Embed the keys in the application.
B. Useroles that allow a web identity federated user to assume a role that allowsaccess to the RedShift table by providing temporary credentials.
C. Createa HSM client certificate in Redshift and authenticate using this certificate.
D. Createa RedShift read-only access policy in 1AM and embed those credentials in theapplication.

Answer: B

Explanation:
Explanation
For access to any AWS service, the ideal approach for any application is to use Roles. This is the first preference. Hence option A and C are wrong.
For more information on 1AM policies please refer to the below link:
http://docs.aws.amazon.com/IAM/latest/UserGuide/access_policies.html
Next for any web application, you need to use web identity federation. Hence option D is the right option. This along with the usage of roles is highly stressed in the AWS documentation.
"When you write such an app, you'll make requests to AWS services that must be signed with an AWS access key. However, we strongly recommend that you do not embed or distribute long-term AWS credentials with apps that a user downloads to a device, even in an encrypted store. Instead, build your app so that it requests temporary AWS security credentials dynamically when needed using web identity federation. The supplied temporary credentials map to an AWS role that has only the permissions needed to perform the tasks required by the mobile app".
For more information on web identity federation please refer to the below link:
http://docs.aws.amazon.com/IAM/latest/UserGuide/id_roles_providers_oidc.html

NEW QUESTION # 362
There are a number of ways to purchase compute capacity on AWS. Which orders the price per compute or memory unit from LOW to HIGH (cheapest to most expensive), on average?
A: On-Demand
B: Spot
C: Reserved

A. A, B, C
B. C, B, A
C. B, C, A
D. A, C, B

Answer: C

Explanation:
Spot instances are usually many, many times cheaper than on-demand prices.
Reserved instances, depending on their term and utilization, can yield approximately 33% to 66% cost savings.
On-Demand prices are the baseline price and are the most expensive way to purchase EC2 compute time.
https://d0.awsstatic.com/whitepapers/Cost_Optimization_with_AWS.pdf

NEW QUESTION # 363
You need to perform ad-hoc analysis on log data, including searching quickly for specific error codes and reference numbers. Which should you evaluate first?

A. AWS EMR
B. AWS RedShift
C. AWS Elasticsearch Service
D. AWS DynamoDB

Answer: C

Explanation:
Amazon Elasticsearch Service (Amazon ES) is a managed service that makes it easy to deploy, operate, and scale Elasticsearch clusters in the AWS cloud. Elasticsearch is a popular open- source search and analytics engine for use cases such as log analytics, real-time application monitoring, and click stream analytics.
http://docs.aws.amazon.com/elasticsearch-service/latest/developerguide/what-is-amazon- elasticsearch-s ervice.html

NEW QUESTION # 364
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