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What Does Target Audience for AWS DevOps Engineer - Professional Certification Look Like?


This certification targets developers and DevOps engineers who want to leverage their skills in how to handle AWS infrastructure and architecture solutions. Anyone who wants to become a well-paid DevOps Engineer will benefit from this certificate. Also, this certification aims at candidates who are interested in developing the proper knowledge of how to implement and manage different delivery systems, control, compliance validation, and governance processes on AWS. Those individuals who know how to define and deploy monitoring systems using AWS features are as well suitable candidates for this AWS certificate. Finally, with this certificate, applicants will also learn how to manage and maintain several tools that will create the automation of operational processes.

Amazon AWS Certified DevOps Engineer - Professional (DOP-C01) Sample Questions (Q227-Q232):


NEW QUESTION # 227
A web application for healthcare services runs on Amazon EC2 instances behind an ELB Application Load Balancer. The instances run in an Amazon EC2 Auto Scaling group across multiple Availability Zones. A DevOps Engineer must create a mechanism in which an EC2 instance can be taken out of production so its system logs can be analyzed for issues to quickly troubleshot problems on the web tier.
How can the Engineer accomplish this task while ensuring availability and minimizing downtime?

  • A. Implement EC2 Auto Scaling groups cooldown periods. Use EC2 instance metadata to determine the instance state, and an AWS Lambda function to snapshot Amazon EBS volumes to preserve system logs.

  • B. Implement EC2 Auto Scaling groups with lifecycle hooks. Create an AWS Lambda function that can modify an EC2 instance lifecycle hook into a standby state, extract logs from the instance through a remote script execution, and place them in an Amazon S3 bucket for analysis.

  • C. Implement Amazon CloudWatch Events rules. Create an AWS Lambda function that can react to an instance termination to deploy the CloudWatch Logs agent to upload the system and access logs to Amazon S3 for analysis.

  • D. Terminate the EC2 instances manually. The Auto Scaling service will upload all log information to CloudWatch Logs for analysis prior to instance termination.


Answer: B

 

NEW QUESTION # 228
You need to perform ad-hoc business analytics queries on well-structured data. Data comes in constantly at a
high velocity. Your business intelligence team can understand SQL. What AWS service(s) should you look to
first?

  • A. Kinesis Firehose + RDS

  • B. EMR using Hive

  • C. Kinesis Firehose+RedShift

  • D. EMR running Apache Spark


Answer: C

Explanation:
Explanation
Amazon Kinesis Firehose is the easiest way to load streaming data into AWS. It can capture, transform, and
load streaming data into Amazon Kinesis
Analytics, Amazon S3, Amazon Redshift, and Amazon Oasticsearch Sen/ice, enabling near real-time analytics
with existing business intelligence tools and
dashboards you're already using today. It is a fully managed service that automatically scales to match the
throughput of your data and requires no ongoing
administration. It can also batch, compress, and encrypt the data before loading it, minimizing the amount of
storage used at the destination and increasing security.
For more information on Kinesis firehose, please visit the below URL:
* https://aws.amazon.com/kinesis/firehose/
Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. You can start with
just a few hundred gigabytes of data and scale to a petabyte or more. This enables you to use your data to
acquire new insights for your business and customers. For more information on Redshift, please visit the
below URL:
* http://docs.aws.amazon.com/redshift/latest/mgmt/wel
come.html

 

NEW QUESTION # 229
A company has developed a static website hosted on an Amazon S3 bucket. The website is deployed using AWS CloudFormation. The CloudFormation template defines an S3 bucket and a custom resource that copies content into the bucket from a source location.
The company has decided that it needs to move the website to a new location, so the existing CloudFormation stack must be deleted and re-created. However, CloudFormation reports that the stack could not be deleted cleanly.
What is the MOST likely cause and how can the DevOps Engineer mitigate this problem for this and future versions of the website?

  • A. Deletion has failed because the S3 bucket is not empty. Modify the S3 bucket resource in the CloudFormation template to add a Deletion Policy property with a value of Empty.

  • B. Deletion has failed because the S3 bucket is not empty. Modify the custom resource's AWS Lambda function code to recursively empty the bucket when is Delete. RequestType

  • C. Deletion has failed because the custom resource does not define a deletion policy. Add a Deletion Policy property to the custom resource definition with a value of RemoveOnDeletion.

  • D. Deletion has failed because the S3 bucket has an active website configuration. Modify the CloudFormation template to remove the Website Configuration property from the S3 bucket resource.


Answer: A

 

NEW QUESTION # 230
As part of your continuous deployment process, your application undergoes an I/O load performance test before it is deployed to production using new AMIs. The application uses one Amazon Elastic Block Store (EBS) PIOPS volume per instance and requires consistent I/O performance. Which of the following must be carried out to ensure that I/O load performance tests yield the correct results in a repeatable manner?

  • A. Ensure that the Amazon EBS volume is encrypted.

  • B. Ensure that the I/O block sizes for the test are randomly selected.

  • C. Ensure that snapshots of the Amazon EBS volumes are created as a backup.

  • D. Ensure that the Amazon EBS volumes have been pre-warmed by reading all the blocks before the test.


Answer: D

Explanation:
Explanation
During the AMI-creation process, Amazon CC2 creates snapshots of your instance's root volume and any other CBS volumes attached to your instance New CBS volumes receive their maximum performance the moment that they are available and do not require initialization (formerly known as pre-warming).
However, storage blocks on volumes that were restored from snapshots must to initialized (pulled down from Amazon S3 and written to the volume) before you can access the block. This preliminary action takes time and can cause a significant increase in the latency of an I/O operation the first time each block is accessed. For most applications, amortizing this cost over the lifetime of the volume is acceptable.
Option A is invalid because block sizes are predetermined and should not be randomly selected.
Option C is invalid because this is part of continuous integration and hence volumes can be destroyed after the test and hence there should not be snapshots created unnecessarily Option D is invalid because the encryption is a security feature and not part of load tests normally.
For more information on CBS initialization please refer to the below link:
* http://docs.aws.amazon.com/AWSCC2/latest/UserGuide/ebs-initialize.html

 

NEW QUESTION # 231
You are in charge of designing a number of Cloudformation templates for your organization. You need to ensure that no one can accidentally update the production based resources on the stack during a stack update.
How can this be achieved in the most efficient way?

  • A. UseMFA to protect the resources

  • B. Usea Stack based policy to protect the production based resources.

  • C. UseS3 bucket policies to protect the resources.

  • D. Createtags for the resources and then create 1AM policies to protect the resources.


Answer: B

Explanation:
Explanation
The AWS Documentation mentions
When you create a stack, all update actions are allowed on all resources. By default, anyone with stack update permissions can update all of the resources in the stack. During an update, some resources might require an interruption or be completely replaced, resulting in new physical IDs or completely new storage. You can prevent stack resources from being unintentionally updated or deleted during a stack update by using a stack policy. A stack policy is a JSON document that defines the update action1.-; that car1 be performed on designated resources.
For more information on protecting stack resources, please visit the below url
http://docs.aws.amazon.com/AWSCIoudFormation/latest/UserGuide/protect-stack-resources.html

 

NEW QUESTION # 232
......

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