AWS-DEVOPS-ENGINEER-PROFESSIONAL GUIDE TORRENT - AWS-DEVOPS-ENGINEER-PROFESSIONAL EXAM TRAINING

AWS-DevOps-Engineer-Professional Guide Torrent - AWS-DevOps-Engineer-Professional Exam Training

AWS-DevOps-Engineer-Professional Guide Torrent - AWS-DevOps-Engineer-Professional Exam Training

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Amazon DOP-C01 (AWS Certified DevOps Engineer - Professional) Certification Exam is designed for individuals who have a deep understanding of DevOps practices and principles, as well as experience with AWS services for implementing and automating DevOps workflows. AWS Certified DevOps Engineer - Professional certification validates the skills required to build, deploy, and maintain applications on AWS, using a combination of AWS services and third-party tools.

Amazon DOP-C01 (AWS Certified DevOps Engineer - Professional) certification exam is a sought-after credential for professionals who want to demonstrate their expertise in DevOps practices and technologies on the Amazon Web Services (AWS) platform. AWS Certified DevOps Engineer - Professional certification exam is designed for experienced DevOps engineers who have a deep understanding of AWS services and can design, deploy, and manage scalable, fault-tolerant, and highly available systems.

The AWS-DevOps certification is an important certification for DevOps engineers who work with the AWS platform. AWS Certified DevOps Engineer - Professional certification demonstrates that the candidate has the skills and knowledge to design, deploy, and manage AWS-based systems and applications using DevOps best practices. AWS Certified DevOps Engineer - Professional certification is recognized by organizations around the world and is a valuable asset for professionals seeking career advancement in the field of DevOps.

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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q454-Q459):

NEW QUESTION # 454
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. Run a stack update with the new template. Auto Scalingwill then update the instances with the new instance type.
  • B. 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
  • C. 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.
  • D. 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

Answer: D

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 # 455
A DevOps Engineer is deploying an Amazon API Gateway API with an AWS Lambda function providing the backend functionality. The Engineer needs to record the source IP address and response status of every API call.
Which combination of actions should the DevOps Engineer take to implement this functionality?
(Choose three.)

  • A. Create a new Amazon CloudWatch Logs log group or choose an existing log group to store the logs.
  • B. Configure the API Gateway stage to enable access logging and choose a logging format.
  • C. Create a new Amazon S3 bucket or choose an existing S3 bucket to store the logs.
  • D. Configure AWS X-Ray to enable access logging for the API Gateway requests.
  • E. Grant API Gateway permission to read and write logs to Amazon CloudWatch through an IAM role.
  • F. Configure API Gateway to stream its log data to Amazon Kinesis.

Answer: B,C,E


NEW QUESTION # 456
You have been asked to handle a large data migration from multiple Amazon RDS MySQL instances to a DynamoDB table.
You have been given a short amount of time to complete the data migration.
What will allow you to complete this complex data processing workflow?

  • A. Create a data pipeline to export Amazon RDS data and import the data into DynamoDB.
  • B. Write a bash script to run on your Amazon RDS instance that will export data into DynamoDB.
  • C. Write a script in your language of choice, install the script on an Amazon EC2 instance, and then use Auto Scaling groups to ensure that the latency of the migration pipelines never exceeds four seconds in any 15- minute period.
  • D. Create an Amazon Kinesis data stream, pipe in all of the Amazon RDS data, and direct the data toward a DynamoDB table.

Answer: A


NEW QUESTION # 457
You are creating a cloudformation templates which takes in a database password as a parameter. How can you ensure that the password is not visible when anybody tries to describes the stack

  • A. Setthe hidden attribute for the Cloudformation resource.
  • B. Usethe password attribute for the resource
  • C. Usethe NoEcho property for the parameter value
  • D. Usethe hidden property for the parameter value

Answer: C

Explanation:
Explanation
The AWS Documentation mentions
For sensitive parameter values (such as passwords), set the NoEcho property to true. That way, whenever anyone describes your stack, the parameter value is shown as asterisks (***").
For more information on Cloudformation parameters, please visit the below URL:
* http://docs.aws.amazon.com/AWSCIoudFormation/latest/UserGuide/parameters-section-structure.html


NEW QUESTION # 458
You have an asynchronous processing application usingan Auto Scaling Group and an SQS Queue. The Auto Scaling Group scales according to the depth of the job queue. The completion velocity of the jobs has gone down, the Auto Scaling Group size has maxec out, but the inbound job velocity did not increase. What is a possible issue?

  • A. The routing tables changed and none of the workers can process events anymore.
  • B. Some of the new jobs coming in are malformed and unprocessable.
  • C. The scaling metric is not functioning correctly.
  • D. Someone changed the 1AM Role Policy on the instances in the worker group and broke permissions to access the queue.

Answer: B

Explanation:
Explanation
This question is more on the grounds of validating each option
Option B is invalid, because the Route table would have an effect on all worker processes and no jobs would have been completed.
Option C is invalid because if the 1AM Role was invalid then no jobs would be completed.
Option D is invalid because the scaling is happening, its just that the jobs are not getting completed.
For more information on Scaling on Demand, please visit the below URL:
* http://docs.aws.amazon.com/autoscaling/latest/userguide/as-scale-based-on-demand.html


NEW QUESTION # 459
......

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