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Download AWS Certified DevOps Engineer - Professional Exam Dumps

NEW QUESTION 40
You need your API backed by DynamoDB to stay online during a total regional AWS failure. You can
tolerate a couple minutes of lag or slowness during a large failure event, but the system should recover
with normal operation after those few minutes. What is a good approach?

A. Set up a DynamoDB Multi-Region table. Create an Auto Scaling Group behind an ELB in each of the
two regions DynamoDB is running in. Add a Route53 Latency DNS Record with DNS Failover, using the
ELBs in the two regions as the resource records.B. Set up DynamoDB cross-region replication in a master-standby configuration, with a single standby in
another region. Create an Auto Scaling Group behind an ELB in each of the two regions DynamoDB is
running in. Add a Route53 Latency DNS Record with DNS Failover, using the ELBs in the two regions as
the resource records.C. Set up DynamoDB cross-region replication in a master-standby configuration, with a single standby in
another region. Create a cross-region ELB pointing to a cross-region Auto Scaling Group, and direct a
Route53 Latency DNS Record with DNS Failover to the cross-region ELB.D. Set up a DynamoDB Multi-Region table. Create a cross-region ELB pointing to a cross-region Auto
Scaling Group, and direct a Route53 Latency DNS Record with DNS Failover to the cross-region ELB.

Answer: B

Explanation:
There is no such thing as a cross-region ELB, nor such thing as a cross-region Auto Scaling Group, nor
such thing as a DynamoDB Multi-Region Table. The only option that makes sense is the cross-regional
replication version with two ELBs and ASGs with Route53 Failover and Latency DNS.
Reference:
http://docs.aws.amazon.com/amazondynamodb/latest/developerguide/Streams.CrossRegionRepl.html

 

NEW QUESTION 41
A large enterprise is deploying a web application on AWS. The application runs on Amazon EC2 instances behind an Application Load Balancer. The instances run in an Auto Scaling group across multiple Availability Zones. The application stores data in an Amazon RDS Oracle DB instance and Amazon DynamoDB. There are separate environments for development, testing, and production. What is the MOST secure and flexible way to obtain password credentials during deployment?

A. Retrieve an access key from an AWS Systems Manager SecureString parameter to access AWS services. Retrieve the database credentials from a Systems Manager SecureString parameter.B. Launch the EC2 instances with an EC2 IAM role to access AWS services. Store the database passwords in an encrypted config file with the application artifacts.C. Retrieve an access key from an AWS Systems Manager plaintext parameter to access AWS services. Retrieve the database credentials from a Systems Manager SecureString parameter.D. Launch the EC2 instances with an EC2 IAM role to access AWS services. Retrieve the database credentials from AWS Secrets Manager.

Answer: D

Explanation:
https://www.1strategy.com/blog/2019/02/28/aws-parameter-store-vs-aws-secrets-manager/

 

NEW QUESTION 42
You are using Elastic Beanstalk for your development team. You are responsible for deploying multiple versions of your application. How can you ensure, in an ideal way, that you don't cross the application version limit in Elastic beanstalk?

A. Createa lambda function to delete the older versions.B. Uselifecyle policies in Elastic beanstalkC. Createa script to delete the older versions.D. UseAWSConfig to delete the older versions

Answer: B

Explanation:
Explanation
The AWS Documentation mentions
Each time you upload a new version of your application with the Clastic Beanstalk console or the CB CLI, Elastic Beanstalk creates an application version. If you don't delete versions that you no longer use, you will eventually reach the application version limit and be unable to create new versions of that application.
You can avoid hitting the limit by applying an application version lifecycle policy to your applications. A lifecycle policy tells Clastic Beanstalk to delete application versions that are old, or to delete application versions when the total number of versions for an application exceeds a specified number.
For more information on Clastic Beanstalk lifecycle policies please see the below link:
* http://docs.aws.amazon.com/elasticbeanstalk/latest/dg/applications-lifecycle.html

 

NEW QUESTION 43
Your development team is using an Elastic beanstalk environment. After a week, the environment was torn down and a new one was created. When the development team tried to access the data on the older environment, it was not available. Why is this the case?

A. Thisis because before the environment termination, Elastic beanstalk copies thedata to DynamoDB, and hence the data is not present in the EBS volumesB. Thisis because the underlying EC2 Instances are created with encrypted storage andcannot be accessed once the environment has been terminated.C. Thisis because the underlying EC2 Instances are created with no persistent localstorageD. Thisis because the underlying EC2 Instances are created with IOPS volumes andcannot be accessed once the environment has been terminated.

Answer: C

Explanation:
Explanation
The AWS documentation mentions the following
Clastic Beanstalk applications run on Amazon CC2 instances that have no persistent local storage. When the Amazon CC2 instances terminate, the local file system is not saved, and new Amazon CC2 instances start with a default file system. You should design your application to store data in a persistent data source.
For more information on Elastic beanstalk design concepts, please refer to the below link:
* http://docs.aws.amazon.com/elasticbeanstalk/latest/dg/concepts.concepts.design.html

 

NEW QUESTION 44
An Application team is refactoring one of its internal tools to run in AWS instead of on-premises hardware. All of the code is currently written in Python and is standalone. There is also no external state store or relational database to be queried.
Which deployment pipeline incurs the LEAST amount of changes between development and production?

A. Developers should use their native Python environment. When Dependencies are changed and a new container is ready, use AWS CodePipeline and AWS CodeBuild to perform functional tests and then upload the new container to the Amazon ECR. Use AWS CloudFormation with the custom container to deploy the new Amazon ECS.B. Developers should use their native Python environment. When Dependencies are changed and a new code is ready, use AWS CodePipeline and AWS CodeBuild to perform functional tests and then upload the new container to the Amazon ECR. Use CodePipeline and CodeBuild with the custom container to test new code changes inside AWS Elastic Beanstalk.C. Developers should use Docker for local development. Use AWS SMS to import these containers as AMIs for Amazon EC2 whenever dependencies are updated. Use AWS CodePipeline to test new code changes against the Auto Scaling group.D. Developers should use Docker for local development. When dependencies are changed and a new container is ready, use AWS CodePipeline and AWS CodeBuild to perform functional tests and then upload the new container to Amazon ECR. Use AWS CloudFormation with the custom container to deploy the new Amazon ECS.

Answer: D

 

NEW QUESTION 45
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