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AWS DevOps Engineer Professional Exam cost

The price of AWS DevOps Engineer Professional exam is $300 USD.

Target Audience & Peculiarities of AWS DevOps Engineer - Professional Test

This test is suitable for any DevOps engineer or developer who wants to learn how to work with AWS architecture and infrastructure solutions. Besides, it targets specialists who want to learn more about implementing and managing various delivery and control systems, ensure compliance validation, and configure AWS governance processes. This validation is also suitable for those who want to learn how to deploy and define monitoring systems with the help of AWS features. Passing the AWS DevOps Engineer – Professional exam will get you the namesake certificate. Amazon doesn’t have any obligatory prerequisites for eligible candidates. Still, it recommends that they should have previously worked with AWS environments for a minimum of 2 years. Also, they should have previously worked with high-level programming language systems and developed code concepts. Experience in building automated infrastructures is also a huge plus. Another recommendation would be that the examinees have previously administered operating systems and have a solid background in operating development processes and modern operations. As for the details of DOP-C01, its duration is 180 minutes. The candidates should obtain a minimum of 750 points if they want to get the certificate. Besides, they should pay the registration fee of $300. They can also enroll in the practice exam and pay an enrollment fee of $40. Finally, this test is available in the English language, as well as Simplified Chinese, Korean, and Japanese.

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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q190-Q195):

NEW QUESTION # 190
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: complete 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 CloudWatch application metrics to monitor your application's health. Configure an Amazon SNS topic to send these CloudWatch alarms to the correct recipients.

Answer: B

NEW QUESTION # 191
A company has a mission-critical application on AWS that uses automatic scaling. The company wants the deployment lifecycle to meet the following parameters
*The application must be deployed one instance at a time to ensure the remaining fleet continues to serve traffic.
*the application is CPU intensive and must ho closely monitored
*the deployment must automatically roll back if the CPU utilization of the deployment instance exceeds 85% Which solution will meet these requirements'?

• A. Use AWS Elastic Beanstalk for load balancing and AWS Auto Scaling Configure an alarm tied to the CPU utilization metric Configure rolling deployments with a fixed batch size of one instance Enable enhanced health to monitor the status of the deployment and roll back based on the alarm previously created
• B. Use AWS CodeDeploy with Amazon EC2 Auto Scaling Configure an alarm tied to the CPU utilization metric Use the CodeDeployDefault OneAtAtime configuration as a deployment strategy Configure automatic rollbacks within the deployment group to roll back the deployment if the alarm thresholds are breached
• C. Use AWS Systems Manager to perform a blue/green deployment with Amazon EC2 Auto Scaling Configure an alarm tied to the CPU utilization metric Deploy updates one at a time Configure automatic rollbacks within the Auto Scaling group to roll back the deployment if the alarm thresholds are breached.
• D. Use AWS CloudForrnation to create an AWS Step Functions state machine and Auto Scaling lifecycle hooks to move to one instance at a time into a wait state. Use AWS Systems Manager automation to deploy the update to each instance and move it back into the Auto Scaling group using the heartbeat timeout

Answer: B

NEW QUESTION # 192
A company has an application that has predictable peak traffic times. The company wants the application instances to scale up only during the peak times. The application stores state in Amazon DynamoDB. The application environment uses a standard Node.js application stack and custom Chef recipes stored in a private Git repository.
Which solution is MOST cost-effective and requires the LEAST amount of management overhead when performing rolling updates of the application environment?

• A. Configure AWS OpsWorks stacks and push the custom recipes to an Amazon S3 bucket and configure custom recipes to point to the S3 bucket. Then add an application layer type for a standard Node.js application server and configure the custom recipe to deploy the application in the deploy step from the S3 bucket. Configure time-based instances and attach an Amazon EC2 IAM role that provides permission to access DynamoDB.
• B. Configure AWS OpsWorks stacks and use custom Chef cookbooks. Add the Git repository information where the custom recipes are stored, and add a layer in OpsWorks for the Node.js application server.
  Then configure the custom recipe to deploy the application in the deploy step. Configure time-based instances and attach an Amazon EC2 IAM role that provides permission to access DynamoDB.
• C. Create a custom AMI with the Node.js environment and application stack using Chef recipes. Use the AMI in an Auto Scaling group and set up scheduled scaling for the required times, then set up an Amazon EC2 IAM role that provides permission to access DynamoDB.
• D. Create a Docker file that uses the Chef recipes for the application environment based on an official Node.js Docker image. Create an Amazon ECS cluster and a service for the application environment, then create a task based on this Docker image. Use scheduled scaling to scale the containers at the appropriate times and attach a task-level IAM role that provides permission to access DynamoDB.

Answer: A

NEW QUESTION # 193
A government agency has multiple AWS accounts, many of which store sensitive citizen information. A Security team wants to detect anomalous account and network activities (such as SSH brute force attacks) in any account and centralize that information in a dedicated security account. Event information should be stored in an Amazon S3 bucket in the security account, which is monitored by the department's Security Information and Even Manager (SIEM) system.
How can this be accomplished?

• A. Enable Amazon Macie in every account. Configure the security account as the Macie Administrator for every member account using invitation/acceptance. Create an Amazon CloudWatch Events rule in the security account to send all findings to Amazon Kinesis Data Firehouse, which should push the findings to the S3 bucket.
• B. Enable Amazon Macie in the security account only. Configure the security account as the Macie Administrator for every member account using invitation/acceptance. Create an Amazon CloudWatch Events rule in the security account to send all findings to Amazon Kinesis Data Streams. Write and application using KCL to read data from the Kinesis Data Streams and write to the S3 bucket.
• C. Enable Amazon GuardDuty in the security account only. Configure the security account as the GuardDuty Administrator for every member account using invitation/acceptance. Create an Amazon CloudWatch rule in the security account to send all findings to Amazon Kinesis Data Streams. Write and application using KCL to read data from Kinesis Data Streams and write to the S3 bucket.
• D. Enable Amazon GuardDuty in every account. Configure the security account as the GuardDuty Administrator for every member account using invitation/acceptance. Create an Amazon CloudWatch rule in the security account to send all findings to Amazon Kinesis Data Firehouse, which will push the findings to the S3 bucket.

Answer: C

NEW QUESTION # 194
A company is building a solution for storing files containing Personally Identifiable Information (PII) on AWS.
Requirements state:
- All data must be encrypted at rest and in transit.
- Al data must be replicated in at least two locations that are at
least 500 miles apart.
Which solution meets these requirements?

• A. Create primary and secondary Amazon S3 buckets in two separate Availability Zones that are at least 500 miles apart. Use a bucket policy to enforce access to the buckets only through HTTPS.
  Use a bucket policy to enforce Amazon S3 SSE-C on all objects uploaded to the bucket.
  Configure cross- region replication between the two buckets.
• B. Create primary and secondary Amazon S3 buckets in two separate AWS Regions that are at least 500 miles apart. Use an IAM role to enforce access to the buckets only through HTTPS. Use a bucket policy to enforce Amazon S3-Managed Keys (SSE-S3) on all objects uploaded to the bucket. Configure cross-region replication between the two buckets.
• C. Create primary and secondary Amazon S3 buckets in two separate AWS Regions that are at least 500 miles apart. Use a bucket policy to enforce access to the buckets only through HTTPS.
  Use a bucket policy to enforce S3-Managed Keys (SSE-S3) on all objects uploaded to the bucket.
  Configure cross- region replication between the two buckets.
• D. Create primary and secondary Amazon S3 buckets in two separate Availability Zones that are at least 500 miles apart. Use a bucket policy to enforce access to the buckets only through HTTPS.
  Use a bucket policy to enforce AWS KMS encryption on all objects uploaded to the bucket.
  Configure cross- region replication between the two buckets. Create a KMS Customer Master Key (CMK) in the primary region for encrypting objects.

Answer: C

NEW QUESTION # 195
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