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The AWS Certified DevOps Engineer - Professional certification is recognized globally and is highly valued by employers. It demonstrates a candidate's expertise in building and managing applications on AWS and their ability to automate and optimize the CI/CD pipeline. AWS Certified DevOps Engineer - Professional certification is an excellent way to enhance your career prospects and increase your earning potential.
To be eligible to take the AWS Certified DevOps Engineer - Professional certification exam, candidates must have already earned the AWS Certified Developer - Associate or AWS Certified SysOps Administrator - Associate certification. Additionally, candidates must have at least two years of experience in deploying and managing applications on AWS using DevOps principles and practices.
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The Amazon AWS-DevOps-Engineer-Professional Exam covers a wide range of topics related to DevOps engineering on the AWS platform, including continuous delivery and deployment, monitoring and logging, security, and scalability. Candidates will be tested on their ability to design and implement DevOps practices, automate and optimize processes, and utilize AWS services to build and maintain highly available and scalable systems.
Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q481-Q486):
NEW QUESTION # 481
You are a Devops Engineer for your company. You are responsible for creating Cloudformation templates for
your company. There is a requirement to ensure that an S3 bucket is created for all resources in development
for logging purposes. How would you achieve this?
- A. Createan S3 bucket from before and then just provide access based on the tag valuementioned in the
Cloudformation template - B. Createa parameter in the Cloudformation template and then use the Condition clause inthe template to
create an S3 bucket if the parameter has a value of development - C. Createseparate Cloudformation templates for Development and production.
- D. Usethe metadata section in the Cloudformation template to decide on whether tocreate the S3 bucket or
not.
Answer: B
Explanation:
Explanation
The AWS Documentation mentions the following
You might use conditions when you want to reuse a template that can create resources in different contexts,
such as a test environment versus a production environment In your template, you can add an
CnvironmentType input parameter, which accepts either prod or test as inputs. For the production
environment, you
might include Amazon CC2 instances with certain capabilities; however, for the test environment, you want to
use reduced capabilities to save money. With conditions, you can define which resources are created and how
they're configured for each environment type.
For more information on Cloudformation conditions please visit the below url
* http://docs.aws.amazon.com/AWSCIoudFormation/latest/UserGuide/cond
itions-section-structure.htm I
NEW QUESTION # 482
You need to deploy a Node.js application and do not have any experience with AWS. Which deployment method will be the simplest for you to deploy?
- A. AWSCIoudFormation
- B. AWSOpsWorks
- C. AWS EC2
- D. AWS Elastic Beanstalk
Answer: D
Explanation:
Explanation
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 For more information on Elastic beanstalk please refer to the below link:
* http://docs.aws.amazon.com/elasticbeanstalk/latest/dg/Welcome.html
NEW QUESTION # 483
What does it mean if you have zero IOPS and a non-empty I/O queue for all EBS volumes attached to a running EC2 instance?
- A. Your EBS disk head(s) is/are seeking magnetic stripes.
- B. The EBS volume is unavailable.
- C. The I/O queue is buffer flushing.
- D. You need to re-mount the EBS volume in the OS.
Answer: B
Explanation:
This is the definition of Unavailable from the EC2 and EBS SLA. "Unavailable" and
"Unavailability" mean... For Amazon EBS, when all of your attached volumes perform zero read write IO, with pending IO in the queue.
https://aws.amazon.com/ec2/sla/
NEW QUESTION # 484
Your company has developed a web application and is hosting it in an Amazon S3 bucket configured for static website hosting. The application is using the AWS SDK for JavaScript in the browser to access data stored in an Amazon DynamoDB table. How can you ensure that API keys for access to your data in DynamoDB are kept secure?
- A. Configure S3 bucket tags with your AWS access keys for your bucket hosing your website so that the application can query them for access.
- B. Create an Amazon S3 role in 1AM with access to the specific DynamoDB tables, and assign it to the bucket hosting your website.
- C. Store AWS keys in global variables within your application and configure the application to use these credentials when making requests.
- D. Configure a web identity federation role within 1AM to enable access to the correct DynamoDB resources and retrieve temporary credentials.
Answer: D
Explanation:
Explanation
With web identity federation, you don't need to create custom sign-in code or manage your own user identities.
Instead, users of your app can sign in using a well-known identity provider (IdP) -such as Login with Amazon, Facebook, Google, or any other OpenID Connect (OIDC)-compatible IdP, receive an authentication token, and then exchange that token for temporary security credentials in AWS that map to an 1AM role with permissions to use the resources in your AWS account. Using an IdP helps you keep your AWS account secure, because you don't have to embed and distribute long-term security credentials with your application.
For more information on Web Identity Federation, please refer to the below document link: from AWS
* http://docs.wsamazon.com/IAM/latest/UserGuide/id_roles_providers_oidc.html
NEW QUESTION # 485
A company is creating a software solution that executes a specific parallel-processing mechanism. The software can scale to tens of servers in some special scenarios. This solution uses a proprietary library that is license-based, requiring that each individual server have a single, dedicated license installed. The company has 200 licenses and is planning to run 200 server nodes concurrently at most.
The company has requested the following features:
- A mechanism to automate the use of the licenses at scale.
- Creation of a dashboard to use in the future to verify which licenses are available at any moment.
What is the MOST effective way to accomplish these requirements'?
- A. Upload the licenses to an Amazon DynamoDB table. Create an AWS CloudFormation template that uses an Auto Scaling group to launch the servers. In the user data script, acquire an available license from the DynamoDB table. Create an Auto Scaling litecycle hook, then use it to update the mapping after the instance is terminated.
- B. Upload the licenses to an Amazon DynamoDB table. Create an AWS CLI script to launch the servers by using the parameter --count, with min:max instances to launch. In the user data script, acquire an available license from the DynamoDB table. Monitor each instance and, in case of failure, replace the instance, then manually update the DynamoDB table.
- C. Upload the licenses to a private Amazon S3 bucket. Populate an Amazon SQS queue with the list of licenses stored in S3. Create an AWS CloudFormation template that uses an Auto Scaling group to launch the servers. In the user data script acquire an available license from SQS. Create an Auto Scaling lifecycle hook, then use it to put the license back in SQS after the instance is terminated.
- D. Upload the licenses to a private Amazon S3 bucket. Create an AWS CloudFormation template with a Mappings section for the licenses. In the template, create an Auto Scaling group to launch the servers.
In the user data script, acquire an available license from the Mappings section. Create an Auto Scaling lifecycle hook, then use it to update the mapping after the instance is terminated.
Answer: A
NEW QUESTION # 486
......
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