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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q521-Q526):

NEW QUESTION # 521
An application is currently writing a large number of records to a DynamoDB table in one region. There is a requirement for a secondary application tojust take in the changes to the DynamoDB table every 2 hours and process the updates accordingly. Which of the following is an ideal way to ensure the secondary application can get the relevant changes from the DynamoDB table.

A. Createanother DynamoDB table with the records modified in the last 2 hours.
B. Inserta timestamp for each record and then scan the entire table for the timestamp asper the last 2 hours.
C. UseDynamoDB streams to monitor the changes in the DynamoDB table.
D. Transferthe records to S3 which were modified in the last 2 hours

Answer: C

Explanation:
Explanation
The AWS Documentation mentions the following
A DynamoDB stream is an ordered flow of information about changes to items in an Amazon DynamoDB table. When you enable a stream on a table, DynamoDB captures information about every modification to data items in the table.
Whenever an application creates, updates, or deletes items in the table, DynamoDB Streams writes a stream record with the primary key attribute(s) of the items that were modified. Astream record contains information about a data modification to a single item in a DynamoDB table. You can configure the stream so that the stream records capture additional information, such as the "before" and "after" images of modified items.
For more information on DynamoDB streams, please visit the below URL:
* http://docs.aws.amazon.com/amazondynamodb/latest/developerguide/Streams.html

NEW QUESTION # 522
You work for a startup that has developed a new photo-sharing application for mobile devices. Over recent months your application has increased in popularity; this has resulted in a decrease in the performance of the application due to the increased load. Your application has a two-tier architecture that is composed of an Auto Scaling PHP application tier and a MySQL RDS instance initially deployed with AWS CloudFormation. Your Auto Scaling group has a min value of 4 and a max value of 8. The desired capacity is now at 8 due to the high CPU utilization of the instances. After some analysis, you are confident that the performance issues stem from a constraint in CPU capacity, while memory utilization remains low. You therefore decide to move from the general-purpose M3 instances to the compute-optimized C3 instances. How would you deploy this change while minimizing any interruption to your end users?

A. Updatethe launch configuration specified in the AWS CloudFormation template with thenew C3 instance type. Also add an UpdatePolicy attribute to your Auto Scalinggroup that specifies an AutoScalingRollingUpdate. Run a stack update with thenew template
B. Signinto the AWS Management Console and update the existing launch configurationwith the new C3 instance type. Add an UpdatePolicy attribute to your AutoScaling group that specifies an AutoScaling RollingUpdate.
C. Signin to the AWS Management Console, copy the old launch configuration, and createa new launch configuration that specifies the C3 instances. Update the AutoScaling group with the new launch configuration. Auto Scaling will then updatethe instance type of all running instances
D. Updatethe launch configuration specified in the AWS CloudFormation template with thenew C3 instance type. Run a stack update with the new template. Auto Scalingwill then update the instances with the new instance type.

Answer: A

Explanation:
Explanation
The AWS Documentation mentions the below
The AWS::AutoScaling::AutoScalingGroup resource supports an UpdatePolicy attribute. This is used to define how an Auto Scaling group resource is updated when an update to the Cloud Formation stack occurs. A common approach to updating an Auto Scaling group is to perform a rolling update, which is done by specifying the AutoScalingRollingUpdate policy. This retains the same Auto Scaling group and replaces old instances with new ones, according to the parameters specified.
For more information on Rolling Updates for Autoscaling please see the below link:
* https://aws.amazon.com/premiumsupport/knowledge-center/auto-scaling-group-rolling-updates/

NEW QUESTION # 523
You are building a Ruby on Rails application for internal, non-production use which uses MySQL as a database. You want developers without very much AWS experience to be able to deploy new code with a single command line push. You also want to set this up as simply as possible.
Which tool is ideal for this setup?

A. AWS Elastic Beanstalk
B. AWS ELB + EC2 with CLI Push
C. AWS OpsWorks
D. AWS CloudFormation

Answer: A

Explanation:
Elastic Beanstalk's primary mode of operation exactly supports this use case out of the box. It is simpler than all the other options for this question.
With Elastic Beanstalk, you can quickly deploy and manage applications in the AWS cloud without worrying about the infrastructure that runs those applications. AWS Elastic Beanstalk reduces management complexity without restricting choice or control. You simply upload your application, and Elastic Beanstalk automatically handles the details of capacity provisioning, load balancing, scaling, and application health monitoring.
http://docs.aws.amazon.com/elasticbeanstalk/latest/dg/create_deploy_Ruby_rails.html

NEW QUESTION # 524
A company has an application that is using a MySQL -compatible Amazon Aurora Multi-AZ DB cluster as the database A cross-Region read replica has been created for disaster recovery purposes A DevOps engineer wants to automate the promotion of the replica so it becomes the primary database instance in the event of a failure Which solution will accomplish this?

A. Create an AWS Lambda function to modify the application's AWS CloudFormation template to promote the replica, apply the template to update the stack, and pout the application to the newly promoted instance Create an Amazon CloudWatch alarm to trigger this Lambda function after the failure event occurs
B. Store the Aurora endpoint in AWS Systems Manager Parameter Store Create an Amazon EventBridge (Amazon CloudWatch Events) event that detects the database failure and runs an AWS Lambda function to promote the replica instance and update the endpoint URL stored in AWS Systems Manager Parameter Store Code the application to reload the endpoint from Parameter Store if a database connection fails.
C. Create an Aurora custom endpoint to point to the primary database instance Configure the application to use this endpoint Configure AWS CloudTrail to run an AWS Lambda function to promote the replica instance and modify the custom endpoint to point to the newly promoted instance.
D. Configure a latency-based Amazon Route 53 CNAME with health checks so it points to both the primary and replica endpoints Subscribe an Amazon SNS topic to Amazon RDS failure notifications from AWS CloudTrail and use that topic to trigger an AWS Lambda function that will promote the replica instance as the master.

Answer: D

NEW QUESTION # 525
You are in charge of designing Cloudformation templates for your company. One of the key requirements is to ensure that if a Cloudformation stack is deleted, a snapshot of the relational database is created which is part of the stack. How can you achieve this in the best possible way?

A. Use the Deletion policy of the cloudformation template to ensure a snapshot is created of the relational database.
B. Use the Update policy of the cloudformation template to ensure a snapshot is created of the relational database.
C. Create a snapshot of the relational database beforehand so that when the cloudformation stack is deleted, the snapshot of the database will be present.
D. Create a new cloudformation template to create a snapshot of the relational database.

Answer: A

Explanation:
Explanation
The AWS documentation mentions the following
With the Deletion Policy attribute you can preserve or (in some cases) backup a resource when its stack is deleted. You specify a DeletionPolicy attribute for each resource that you want to control. If a resource has no DeletionPolicy attribute, AWS Cloud Formation deletes the resource by default. Note that this capability also applies to update operations that lead to resources being removed.
For more information on the Deletion policy, please visit the below URL:
* http://docs.aws.amazon.com/AWSCIoudFormation/latest/UserGuide/aws-attri bute-deletionpolicy.html

NEW QUESTION # 526
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