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Amazon AWS-DevOps-Engineer-Professional Certification Exam is a professional-level certification offered by Amazon Web Services (AWS) for individuals seeking to validate their expertise in DevOps practices and tools. AWS Certified DevOps Engineer - Professional certification exam is designed to test the candidate's knowledge and skills in implementing and managing continuous delivery systems and methodologies on AWS.
The AWS-DevOps certification exam is intended for DevOps professionals who have several years of experience with AWS and DevOps practices. AWS Certified DevOps Engineer - Professional certification is ideal for individuals who have already earned the AWS Certified SysOps Administrator - Associate or AWS Certified Developer - Associate certifications and are looking to advance their careers in the field of DevOps. By earning this certification, candidates can demonstrate their expertise in designing and implementing DevOps solutions on AWS, which can help them stand out in the job market and advance their careers.
NEW QUESTION # 340
Your CTO has asked you to make sure that you know what all users of your AWS account are doing to change resources at all times. She wants a report of who is doing what over time, reported to her once per week, for as broad a resource type group as possible. How should you do this?
- A. Use CloudWatch Events Rules with an SNS topic subscribed to all AWS API calls. Subscribe the CTO to an email type delivery on this SNS Topic.
- B. Use AWS 1AM credential reports to deliver a CSV of all uses of 1AM UserTokens overtime to the CTO.
- C. Use AWS Config with an SNS subscription on a Lambda, and insert these changes over time into a DynamoDB table. Generate reports based on the contents of this table.
- D. Create a global AWS CloudTrail Trail. Configure a script to aggregate the log data delivered to S3 once per week and deliver this to the CTO.
Answer: D
Explanation:
Explanation
AWS CloudTrail is an AWS service that helps you enable governance, compliance, and operational and risk auditing of your AWS account. Actions taken by a user, role, or an AWS service are recorded as events in CloudTrail. Events include actions taken in the AWS Management Console, AWS Command Line Interface, and AWS SDKs and APIs.
Visibility into your AWS account activity is a key aspect of security and operational best practices. You can use CloudTrail to view, search, download, archive, analyze, and respond to account activity across your AWS infrastructure. You can identify who or what took which action, what resources were acted upon, when the event occurred, and other details to help you analyze and respond to activity in your AWS account.
For more information on Cloudtrail, please visit the below URL:
* http://docs.aws.amazon.com/awscloudtrail/latest/userguide/cloudtrail-user-guide.html
NEW QUESTION # 341
What is the scope of an EBS volume?
- A. Placement Group
- B. VPC
- C. Availability Zone
- D. Region
Answer: C
Explanation:
An Amazon EBS volume is tied to its Availability Zone and can be attached only to instances in the same Availability Zone.
http://docs.aws.amazon.com/AWSEC2/latest/UserGuide/resources.html
NEW QUESTION # 342
A company has a legacy application running on AWS. The application can only run on one Amazon EC2 instance at a time. Application metadata is stored in Amazon S3 and must be retrieved if the instance is restarted. The instance should be automatically restarted or relaunched if performance degrades.
Which solution will satisfy those requirements?
- A. Create an Amazon Cloud Watch alarm to monitor the EC2 instance. When the StatusCheckfailed system alarm is triggered use the recover action to stop and start the instance. Use a trigger in Amazon S3 to push the metadata to the instance when it is back up and running
- B. Use the auto healing feature in AWS OpsWorks to stop and start the EC2 instance. Use a lifecycle event in OpsWorks to pull the data from Amazon S3 and update it on the instance.
- C. Use the Auto Recovery feature in Amazon EC2 to automatically stop and start the EC2 instance in case of a failure .Use a trigger in Amazon S3 to push the metadata to the instance when it is back up and running
- D. Use AWS CloudFormation to create an EC2 instance that includes the user-data property for the EC2 resource. Add a command in user data to retrieve the application metadata from Amazon S3.
Answer: C
NEW QUESTION # 343
You have instances running on your VPC. You have both production and development based instances running in the VPC. You want to ensure that people who are responsible for the development instances don't have the access to work on the production instances to ensure better security. Using policies, which of the following would be the best way to accomplish this? Choose the correct answer from the options given below
- A. Definethe tags on the test and production servers and add a condition to the lAMpolicy which allows access to specific tags
- B. Launchthe test and production instances in different Availability Zones and use MultiFactor Authentication
- C. Createan 1AM policy with a condition which allows access to only instances that areused for production or development
- D. Launchthe test and production instances in separate VPC's and use VPC peering
Answer: A
Explanation:
Explanation
You can easily add tags which define which instances are production and which are development instances and then ensure these tags are used when controlling access via an 1AM policy.
For more information on tagging your resources, please refer to the below link:
* http://docs.aws.amazon.com/AWSCC2/latest/UserGuide/Using_Tags.html
NEW QUESTION # 344
A company develops and maintains a web application using Amazon EC2 instances and an Amazon RDS for SQL Server DB instance in a single Availability Zone The resources need to run only when new deployments are being tested using AWS CodePipeline. Testing occurs one or more times a week and each test takes 2-3 hours to run. A DovOps engineer wants a solution that does not change the architecture components.
Which solution will meet these requirements in the MOST cost-effective manner?
- A. Replace the EC2 instances with EC2 Spot Instances and the RDS database with an RDS Reserved Instance.
- B. Convert the RDS database to an Amazon Aurora Serverless database Use an AWS Lambda function to start and stop the EC2 instances before and after tests
- C. Subscribe Amazon CloudWatch Events to CodePipeline to trigger AWS Systems Manager Automation documents that start and stop all EC2 and RDS instances before and after deployment tests.
- D. Put the EC2 instances into an Auto Scaling group. Schedule scaling to run at the start of the deployment tests.
Answer: B
NEW QUESTION # 345
Which of the following resource is used in Cloudformation to create nested stacks
- A. AWS::CloudFormation::NestedStack
- B. AWS::CloudFormation::StackNest
- C. AWS::CloudFormation::Nested
- D. AWS::CloudFormation::Stack
Answer: D
Explanation:
Explanation
The AWS Documentation mentions the following
A nested stack is a stack that you create within another stack by using the AWS:: Cloud Formation:: Stack resource. With nested stacks, you deploy and manage all resources from a single stack. You can use outputs from one stack in the nested stack group as inputs to another stack in the group For more information on AWS::CloudFormation::Stack resource, please refer to the below link:
* http://docs.aws.amazon.com/AWSCIoudFormation/latest/UserGuide/using-cfn-stack-exports.
html
NEW QUESTION # 346
A DevOps Engineer needs to deploy a scalable three-tier Node.js application in AWS. The application must have zero downtime during deployments and be able to roll back to previous versions. Other applications will also connect to the same MySQL backend database.
The CIO has provided the following guidance for logging:
* Centrally view all current web access server logs.
* Search and filter web and application logs in near-real time.
* Retain log data for three months.
How should these requirements be met?
- A. Deploy the application on Amazon EC2. Configure Elastic Load Balancing and Auto Scaling. Use an Amazon RDS MySQL instance for the database tier. Configure the application to store log files in Amazon S3. Use Amazon EMR to search and filter the data. Set an Amazon S3 lifecycle rule to expire objects after
90 days. - B. Deploy the application on Amazon EC2. Configure Elastic Load Balancing and Auto Scaling. Use an Amazon RDS MySQL instance for the database tier. Configure the application to load streaming log data using Amazon Kinesis Data Firehose into Amazon ES. Delete and create a new Amazon ES domain every
90 days. - C. Deploy the application using AWS Elastic Beanstalk. Configure the environment type for Elastic Load Balancing and Auto Scaling. Create the Amazon RDS MySQL instance outside the Elastic Beanstalk stack.
Configure the Elastic Beanstalk log options to stream logs to Amazon CloudWatch Logs. Set retention to 90 days. - D. Deploy the application using AWS Elastic Beanstalk. Configure the environment type for Elastic Load Balancing and Auto Scaling. Create an Amazon RDS MySQL instance inside the Elastic Beanstalk stack.
Configure the Elastic Beanstalk log options to stream logs to Amazon CloudWatch Logs. Set retention to 90 days.
Answer: C
Explanation:
Explanation
NEW QUESTION # 347
When a user is detaching an EBS volume from a running instance and attaching it to a new instance, which of the below mentioned options should be followed to avoid file system damage?
- A. Stop all the I/O of the volume before processing
- B. Take a snapshot of the volume before detaching
- C. Unmount the volume first
- D. Force Detach the volume to ensure that all the data stays intact
Answer: C
Explanation:
When a user is trying to detach an EBS volume, the user can either terminate the instance or explicitly remove the volume. It is a recommended practice to unmount the volume first to avoid any file system damage.
NEW QUESTION # 348
You have an application running on Amazon EC2 in an Auto Scaling group. Instances are being bootstrapped dynamically, and the bootstrapping takes over 15 minutes to complete. You find that instances are reported by Auto Scaling as being In Service before bootstrapping has completed. You are receiving application alarms related to new instances before they have completed bootstrapping, which is causing confusion. You find the cause: your application monitoring tool is polling the Auto Scaling Service API for instances that are In Service, and creating alarms for new previously unknown instances. Which of the following will ensure that new instances are not added to your application monitoring tool before bootstrapping is completed?
- A. Increase the desired number of instances in your Auto Scaling group configuration to reduce the time it takes to bootstrap future instances.
- B. Create an Auto Scaling group lifecycle hook to hold the instance in a pending: wait state until your bootstrapping is complete. Once bootstrapping is complete, notify Auto Scaling to complete the lifecycle hook and move the instance into a pending:proceed state.
- C. Tag all instances on launch to identify that they are in a pending state. Change your application monitoring tool to look for this tag before adding new instances, and the use the Amazon API to set the instance state to 'pending' until bootstrapping is complete.
- D. Use the default Amazon Cloud Watch application metrics to monitor your application's health.
Configure an Amazon SNS topic to send these Cloud Watch alarms to the correct recipients.
Answer: B
Explanation:
Explanation
Auto Scaling lifecycle hooks enable you to perform custom actions as Auto Scaling launches or terminates instances. For example, you could install or configure software on newly launched instances, or download log files from an instance before it terminates.
After you add lifecycle hooks to your Auto Scaling group, they work as follows:
1. Auto Scaling responds to scale out events by launching instances and scale in events by terminating instances.
2. Auto Scaling puts the instance into a wait state (Pending:Wait orTerminating:Wait). The instance remains in this state until either you tell Auto Scaling to continue or the timeout period ends.
For more information on rolling updates, please visit the below link:
* http://docs.aws.amazon.com/autoscaling/latest/userguide/lifecycle-hooks.htmI
The DOP-C01 exam covers a wide range of topics including deployment automation, infrastructure as code, monitoring and logging, incident and event management, and security and compliance. AWS Certified DevOps Engineer - Professional certification is intended for individuals who have a deep understanding of AWS services and are proficient in DevOps practices such as continuous integration, continuous delivery, and continuous deployment. The DOP-C01 exam is a great way to demonstrate your expertise in the DevOps field and will help you stand out from your peers.
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