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Exam AWS-DevOps-Engineer-Professional Tests - AWS-DevOps-Engineer-Professional Exam Success

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To be eligible for the AWS-DevOps certification exam, candidates must have at least two years of experience working with AWS, as well as experience working in a DevOps role. They should also have a strong understanding of software development principles and practices, as well as expertise in at least one programming language. AWS-DevOps-Engineer-Professional Exam consists of 75 multiple-choice and multiple-response questions, and candidates have 170 minutes to complete it.

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For the AWS Certified DevOps Engineer - Professional (AWS-DevOps-Engineer-Professional) web-based practice exam no special software installation is required. Because it is a browser-based AWS Certified DevOps Engineer - Professional (AWS-DevOps-Engineer-Professional) practice test. The web-based AWS Certified DevOps Engineer - Professional (AWS-DevOps-Engineer-Professional) practice exam works on all operating systems like Mac, Linux, iOS, Android, and Windows.

Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q111-Q116):

NEW QUESTION # 111
Ansible provides some methods for controlling how or when a task is ran. Which of the following is a valid method for controlling a task with a loop?

A. - items: <value>
B. - only_when: <conditional>
C. - with_items: <value>
D. - with: <value>

Answer: C

Explanation:
Ansible provides two methods for controlling tasks, loops and conditionals. The "with_items" context will allow the task to loop through a list of items, while the `when' context will allow a conditional requirement to be met for the task to run. Both can be used at the same time.
Reference:
http://docs.ansible.com/ansible/playbooks_conditionals.html#loops-and-conditionals

NEW QUESTION # 112
A company is reviewing its IAM policies. One policy written by the DevOps Engineer has been flagged as too permissive. The policy is used by an AWS Lambda function that issues a stop command to Amazon EC2 instances tagged with Environment: Nonproduction over the weekend. The current policy is:

What changes should the Engineer make to achieve a policy of least permission? (Select THREE.) A)

A. Option D
B. Option C
C. Option B
D. Option A
E. Option E
F. Option F

Answer: A,C,E

Explanation:
Explanation
https://docs.aws.amazon.com/ja_jp/IAM/latest/UserGuide/reference_policies_variables.html
https://aws.amazon.com/jp/premiumsupport/knowledge-center/restrict-ec2-iam/

NEW QUESTION # 113
Which of these is not a reason a Multi-AZ RDS instance will failover?

A. The primary DB instance fails
B. An Availability Zone outage
C. A manual failover of the DB instance was initiated using Reboot with failover
D. To autoscale to a higher instance class

Answer: D

Explanation:
The primary DB instance switches over automatically to the standby replica if any of the > following conditions occur: An Availability Zone outage, the primary DB instance fails, the DB instance's server type is changed, the operating system of the DB instance is, undergoing software patching, a manual failover of the DB instance was initiated using Reboot with failover
http://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/Concepts.MultiAZ.html

NEW QUESTION # 114
For AWS CloudFormation, which stack state refuses UpdateStack calls?

A. <code>CREATE_COMPLETE</code>
B. <code>UPDATE_ROLLBACK_FAILED</code>
C. <code>UPDATE_ROLLBACK_COMPLETE</code>
D. <code>UPDATE_COMPLETE</code>

Answer: B

Explanation:
When a stack is in the UPDATE_ROLLBACK_FAILED state, you can continue rolling it back to return it to a working state (to UPDATE_ROLLBACK_COMPLETE). You cannot update a stack that is in the UPDATE_ROLLBACK_FAILED state. However, if you can continue to roll it back, you can return the stack to its original settings and try to update it again.
http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/using-cfn-updating-stacks- continueu pdaterollback.html

NEW QUESTION # 115
For auditing, analytics, and troubleshooting purposes, a DevOps Engineer for a data analytics application needs to collect all of the application and Linux system logs from the Amazon EC2 instances before termination. The company, on average, runs 10,000 instances in an Auto Scaling group. The company requires the ability to quickly find logs based on instance IDs and date ranges.
Which is the MOST cost-effective solution?

A. Create an EC2 Instance-terminate Lifecycle Action on the group, push the logs into Amazon Kinesis Data Firehouse, and select Amazon ES as the destination for providing storage and search capability.
B. Create an EC2 Instance-terminate Lifecycle Action on the group, create an Amazon CloudWatch Events rule based on it to trigger an AWS Lambda function for storing the logs in Amazon S3, and create a catalog of log files in an Amazon DynamoDB table with the primary key being Instance ID and sort key being Instance Termination Date.
C. Create an EC2 Instance-terminate Lifecycle Action on the group, write a termination script for pushing logs into Amazon CloudWatch Logs, create a CloudWatch Events rule to trigger an AWS Lambda function to create a catalog of log files in an Amazon DynamoDB table with the primary key being Instance ID and sort key being Instance Termination Date.
D. Create an EC2 Instance-terminate Lifecycle Action on the group, write a termination script for pushing logs into Amazon S3, and trigger an AWS Lambda function based on S3 PUT to create a catalog of log files in an Amazon DynamoDB table with the primary key being Instance ID and sort key being Instance Termination Date.

Answer: B

Explanation:
Explanation
https://docs.aws.amazon.com/autoscaling/ec2/userguide/lifecycle-hooks.html

NEW QUESTION # 116
......

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