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Amazon DOP-C01 (AWS Certified DevOps Engineer - Professional) Certification Exam is designed 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 validates the skills required to deploy, manage, and operate highly available, scalable, and fault-tolerant systems on AWS. AWS-DevOps Exam covers various aspects of DevOps, including continuous integration and delivery, infrastructure as code, monitoring and logging, and automation of AWS services.

The AWS Certified DevOps Engineer - Professional certification is ideal for professionals who are experienced in AWS DevOps practices and want to advance their careers in this field. With this certification, professionals can demonstrate their expertise in designing and managing DevOps solutions using AWS technologies. AWS Certified DevOps Engineer - Professional certification is recognized globally and can open up new career opportunities for professionals in various industries.

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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q48-Q53):

NEW QUESTION # 48
A company has a website in an AWS Elastic Beanstalk load balancing and automatic scaling environment.
This environment has an Amazon RDS MySQL instance configured as its database resource. After a sudden increase in traffic, the website started dropping traffic. An administrator discovered that the application on some instances is not responding as the result of out-of-memory errors. Classic Load Balancer marked those instances as out of service, and the health status of Elastic Beanstalk enhanced health reporting is degraded.
However, Elastic Beanstalk did not replace those instances. Because of the diminished capacity behind the Classic Load Balancer, the application response times are slower for the customers.
Which action will permanently fix this issue?

A. Temporarily change the maximum number of instances in the Auto Scaling group to allow the group to support more traffic.
B. Clone the Elastic Beanstalk environment. When the new environment is up, swap CNAME and terminate the earlier environment.
C. Write a cron script for restraining the web server process when memory is full, and deploy it with AWS Systems Manager.
D. Change the setting for the Auto Scaling group health check from Amazon EC2 to Elastic Load Balancing, and increase the capacity of the group.

Answer: A

NEW QUESTION # 49
A company has several AWS accounts. The accounts are shared and used across multiple teams globally, primarily for Amazon EC2 instances. Each EC2 instance has tags for team, environment, and cost center to ensure accurate cost allocations.
How should a DevOps Engineer help the teams audit their costs and automate infrastructure cost optimization across multiple shared environments and accounts?

A. Create a separate Amazon CloudWatch dashboard for EC2 instance tags based on cost center, environment, and team, and publish the instance tags out using unique links for each team. For each team, set up a CloudWatch Events rule with the CloudWatch dashboard as the source, and set up a trigger to initiate an AWS Lambda function to reduce underutilized instances.
B. Create an Amazon CloudWatch Events rule with AWS Trusted Advisor as the source for low utilization EC2 instances. Trigger an AWS Lambda function that filters out reported data based on tags for each team, environment, and cost center, and store the Lambda function in Amazon S3.
Set up a second trigger to initiate a Lambda function to reduce underutilized instances.
C. Use AWS Systems Manager to track instance utilization and report underutilized instances to Amazon CloudWatch. Filter data in CloudWatch based on tags for team, environment, and cost center. Set up triggers from CloudWatch into AWS Lambda to reduce underutilized instances
D. Set up a scheduled script on the EC2 instances to report utilization and store the instances in an Amazon DynamoDB table. Create a dashboard in Amazon QuickSight with DynamoDB as the source data to find underutilized instances. Set up triggers from Amazon QuickSight in AWS Lambda to reduce underutilized instances.

Answer: B

Explanation:
https://github.com/aws/Trusted-Advisor-Tools/tree/master/LowUtilizationEC2Instances

NEW QUESTION # 50
You have an application which consists of EC2 instances in an Auto Scaling group. Between a particular time
frame every day, there is an increase in traffic to your website. Hence users are complaining of a poor response
time on the application. You have configured your Auto Scaling group to deploy one new EC2 instance when
CPU utilization is greater than 60% for 2 consecutive periods of 5 minutes. What is the least cost-effective
way to resolve this problem?

A. Decrease the collection period to ten minutes
B. Increase the minimum number of instances in the Auto Scaling group
C. Decrease the consecutive number of collection periods
D. Decrease the threshold CPU utilization percentage at which to deploy a new instance

Answer: B

Explanation:
Explanation
If you increase the minimum number of instances, then they will be running even though the load is not high
on the website. Hence you are incurring cost even though there is no need.
All of the remaining options are possible options which can be used to increase the number of instances on a
high load.
For more information on On-demand scaling, please refer to the below link:
* http://docs.aws.amazon.com/autoscaling/latest/userguide/as-scale-based-on-demand.
html
* Note: The tricky part where the question is asking for 'least cost effective way". You got the design
consideration correctly but need to be careful on how the question is phrased.

NEW QUESTION # 51
Your company releases new features with high frequency while demanding high application availability.
As part of the application's A/B testing, logs from each updated Amazon EC2 instance of the application need to be analyzed in near real-time, to ensure that the application is working flawlessly after each deployment. If the logs show arty anomalous behavior, then the application version of the instance is changed to a more stable one.
Which of the following methods should you use for shipping and analyzing the logs in a highly available manner?

A. Ship the logs to a large Amazon EC2 instance and analyze the logs in a live manner.
B. Ship the logs to an Amazon Kinesis stream and have the consumers analyze the logs in a live manner.
C. Ship the logs to Amazon S3 for durability and use Amazon EMR to analyze the logs in a batch manner each hour.
D. Ship the logs to Amazon CloudWatch Logs and use Amazon EMR to analyze the logs in a batch manner each hour.
E. Store the logs locally on each instance and then have an Amazon Kinesis stream pull the logs for live analysis.

Answer: B

NEW QUESTION # 52
You have an Auto Sealing group of Instances that processes messages from an Amazon Simple Queue Service (SQS) queue.
The group scales on the size of the queue. Processing Involves calling a third-party web service.
The web service is complaining about the number of failed and repeated calls it is receiving from you.
You have noticed that when the group scales in, instances are being terminated while they are processing.
What cost-effective solution can you use to reduce the number of incomplete process attempts?

A. Modify the application running on the instances to put itself into an Auto Scaling Standby state while it processes a task and return itself to InService when the processing is complete.
B. Create a new Auto Scaling group with minimum and maximum of 2 and instances running web proxy software.
Configure the VPC route table to route HTTP traffic to these web proxies.
C. Modify the application running on the instances to enable termination protection while it processes a task and disable it when the processing is complete.
D. Increase the minimum and maximum size for the Auto Scaling group, and change the scaling policies so they scale less dynamically.

Answer: C

NEW QUESTION # 53
......

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