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Valid AWS-DevOps-Engineer-Professional Test Preparation, Exam Sample AWS-DevOps-Engineer-Professional Questions

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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q260-Q265):

NEW QUESTION # 260
A government agency is storing highly confidential files in an encrypted Amazon S3 bucket. The agency has configured federated access and has allowed only a particular on-premises Active Directory user group to access this bucket. The agency wants to maintain audit records and automatically detect and revert any accidental changes administrators make to the IAM policies used for providing this restricted federated access. Which of the following options provide the FASTEST way to meet these requirements?

A. Configure an Amazon CloudWatch Events Event Bus on an AWS CloudTrail API for triggering the AWS Lambda function that detects and reverts the change.
B. Configure an AWS Config rule to detect the configuration change and execute an AWS Lambda function to revert the change.
C. Schedule an AWS Lambda function that will scan the IAM policy attached to the federated access role for detecting and reverting any changes.
D. Restrict administrators in the on-premises Active Directory from changing the IAM policies

Answer: B

Explanation:
https://www.puresec.io/blog/aws-security-best-practices-config-rules-lambda-security
"Cloudwatch Event Bus" are used for -> "Sending and Receiving Events Between AWS Accounts" https://aws.amazon.com/about-aws/whats-new/2017/06/cloudwatch-events-adds-cross-account-event-delivery-support/
https://docs.aws.amazon.com/config/latest/developerguide/evaluate-config-rules.html

NEW QUESTION # 261
You need your CI to build AMIs with code pre-installed on the images on every new code push.
You need to do this as cheaply as possible. How do you do this?

A. Have the CI launch a new on-demand EC2 instance when new commits come in, perform all instance configuration and setup, then create an AMI based on the on-demand instance.
B. When the CI instance receives commits, attach a new EBS volume to the CI machine. Perform all setup on this EBS volume so you don't need a new EC2 instance to create the AMI.
C. Bid on spot instances just above the asking price as soon as new commits come in, perform all instance configuration and setup, then create an AMI based on the spot instance.
D. Purchase a Light Utilization Reserved Instance to save money on the continuous integration machine.
Use these credits whenever your create AMIs on instances.

Answer: C

Explanation:
Spot instances are the cheapest option, and you can use minimum run duration if your AMI takes more than a few minutes to create.
Spot instances are also available to run for a predefined duration - in hourly increments up to six hours in length - at a significant discount (30-45%) compared to On-Demand pricing plus an additional 5% during off-peak times1 for a total of up to 50% savings.
https://aws.amazon.com/ec2/spot/pricing/

NEW QUESTION # 262
Which deployment method, when using AWS Auto Scaling Groups and Auto Scaling Launch Configurations, enables the shortest time to live for individual servers?

A. Using AWS EC2 Run Commands to dynamically SSH into fleets.
B. Pre-baking AMIs with all code and configuration on deploys.
C. Using UserData bootstrapping scripts.
D. Using a Dockerfile bootstrap on instance launch.

Answer: B

Explanation:
Note that the bootstrapping process can be slower if you have a complex application or multiple applications to install. Managing a fleet of applications with several build tools and dependencies can be a challenging task during rollouts. Furthermore, your deployment service should be designed to do faster rollouts to take advantage of Auto Scaling. Prebaking is a process of embedding a significant portion of your application artifacts within your base AMI. During the deployment process you can customize application installations by using EC2 instance artifacts such as instance tags, instance metadata, and Auto Scaling groups.
https://d0.awsstatic.com/whitepapers/overview-of-deployment-options-on-aws.pdf

NEW QUESTION # 263
You have an Auto Scaling group with an Elastic Load Balancer. You decide to suspend the Auto Scaling AddToLoadBalancer for a short period of time. What will happen to the instances launched during the suspension period?

A. Auto Scaling will not launch the instances during this period because of the suspension
B. The instances will be registered with ELB once the process has resumed
C. It is not possible to suspend the AddToLoadBalancer process
D. The instances will not be registered with ELB. You must manually register when the process is resumed
*/

Answer: D

Explanation:
Explanation
If you suspend AddTo Load Balancer, Auto Scaling launches the instances but does not add them to the load balancer or target group. If you resume the AddTo Load Balancer process. Auto Scaling resumes adding instances to the load balancer or target group when they are launched. However, Auto Scaling does not add the instances that were launched while this process was suspended. You must register those instances manually.
For more information on the Suspension and Resumption process, please visit the below U RL:
* http://docs.aws.amazon.com/autoscaling/latest/userguide/as-suspend-resume-processes.html

NEW QUESTION # 264
Which of the following are components of the AWS Data Pipeline service. Choose 2 answers from the options given below

A. Task Runner
B. Workflow Runner
C. Task History
D. Pipeline definition

Answer: A,D

Explanation:
Explanation
The AWS Documentation mentions the following on AWS Pipeline
The following components of AWS Data Pipeline work together to manage your data:
* A pipeline definition specifies the business logic of your data management.
* A pipeline schedules and runs tasks. You upload your pipeline definition to the pipeline, and then activate the pipeline. You can edit the pipeline definition for a running pipeline and activate the pipeline again for it to take effect. You can deactivate the pipeline, modify a data source, and then activate the pipeline again. When you are finished with your pipeline, you can delete it.
* Task Runner polls for tasks and then performs those tasks. For example. Task Runner could copy log files to Amazon S3 and launch Amazon EMR clusters. Task Runner is installed and runs automatically on resources created by your pipeline definitions. You can write a custom task runner application, or you can use the Task Runner application that is provided by AWS Data Pipeline.
For more information on AWS Pipeline, please visit the link:
* http://docs.aws.amazon.com/datapipeline/latest/DeveloperGuide/what-is-datapi peline.html

NEW QUESTION # 265
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