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Quiz DOP-C01 - AWS Certified DevOps Engineer - Professional Fantastic Valid Test Fee

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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q417-Q422):

NEW QUESTION # 417
You are using Elastic Beanstalk for your development team. You are responsible for deploying multiple versions of your application. How can you ensure, in an ideal way, that you don't cross the application version limit in Elastic beanstalk?

A. Createa script to delete the older versions.
B. Uselifecyle policies in Elastic beanstalk
C. UseAWSConfig to delete the older versions
D. Createa lambda function to delete the older versions.

Answer: B

Explanation:
Explanation
The AWS Documentation mentions
Each time you upload a new version of your application with the Clastic Beanstalk console or the CB CLI, Elastic Beanstalk creates an application version. If you don't delete versions that you no longer use, you will eventually reach the application version limit and be unable to create new versions of that application.
You can avoid hitting the limit by applying an application version lifecycle policy to your applications. A lifecycle policy tells Clastic Beanstalk to delete application versions that are old, or to delete application versions when the total number of versions for an application exceeds a specified number.
For more information on Clastic Beanstalk lifecycle policies please see the below link:
* http://docs.aws.amazon.com/elasticbeanstalk/latest/dg/applications-lifecycle.html

NEW QUESTION # 418
Your company has a set of EC2 resources hosted on AWS. Your new IT procedures state that AWS EC2 Instances must be of a particular Instance type. Which of the following can be used to get the list of EC2 Instances which currently don't match the instance type specified in the new IT procedures

A. Use VPC Flow Logs to check which EC2 Instances don't match the intended instance type.
B. Use AWS Config to create a rule to check the EC2 Instance type
C. Use Trusted Ad visor to check which EC2 Instances don't match the intended instance type.
D. Use AWS Cloudwatch alarms to check which EC2 Instances don't match the intended instance type.

Answer: B

Explanation:
Explanation
In AWS Config, you can create a rule which can be used to check if CC2 Instances follow a particular instance type. Below is a snapshot of the output of a rule to check if CC2 instances matches the type of t2micro.

For more information on AWS Config, please visit the below URL:
* https://aws.amazon.com/config/

NEW QUESTION # 419
A company wants to adopt a methodology for handling security threats from leaked and compromised IAM access keys. The DevOps Engineer has been asked to automate the process of acting upon compromised access keys, which includes identifying users, revoking their permissions, and sending a notification to the Security team.
Which of the following would achieve this goal?

A. Use the AWS Trusted Advisor generated security report for access keys. Use AWS Lambda to scan through the report. Use scan result inside AWS Lambda and delete compromised IAM access keys.
Use Amazon SNS to notify the Security team.
B. Use AWS Lambda with a third-party library to scan for compromised access keys. Use scan result inside AWS Lambda and delete compromised IAM access keys. Create Amazon CloudWatch custom metrics for compromised keys. Create a CloudWatch alarm on the metrics to notify the Security team.
C. Use the AWS Trusted Advisor generated security report for access keys. Use Amazon EMR to run analytics on the report. Identify compromised IAM access keys and delete them. Use Amazon CloudWatch with an EMR Cluster State Change event to notify the Security team.
D. Use AWS Trusted Advisor to identify compromised access keys. Create an Amazon CloudWatch Events rule with Trusted Advisor as the event source, and AWS Lambda and Amazon SNS as targets.
Use AWS Lambda to delete compromised IAM access keys and Amazon SNS to notify the Security team.

Answer: D

NEW QUESTION # 420
You work for an accounting firm and need to store important financial data for clients. Initial frequent access
to data is required, but after a period of 2 months, the data can be archived and brought back only in the case
of an audit. What is the most cost-effective way to do this?

A. Uselifecycle management to move data from S3 to Glacier
B. Storeall data in a private S3 bucket
C. Storeall data in a Glacier
D. Uselifecycle management to store all data in Glacier

Answer: A

Explanation:
Explanation
The AWS Documentation mentions the following
Lifecycle configuration enables you to specify the lifecycle management of objects in a bucket. The
configuration is a set of one or more rules, where each rule
defines an action for Amazon S3 to apply to a group of objects. These actions can be classified as follows:
Transition actions - In which you define when objects transition to another storage class. For example, you
may choose to transition objects to the STANDARDJ A (IA, for infrequent access) storage class 30 days after
creation, or archive objects to the GLACIER storage class one year after creation.
Cxpiration actions - In which you specify when the objects expire. Then Amazon S3 deletes the expired
objects on your behalf. For more information on S3 Lifecycle policies, please visit the below URL:
* http://docs.aws.a
mazon.com/AmazonS3/latest/dev/object-lifecycle-mgmt.htm I

NEW QUESTION # 421
You have an application consisting of a stateless web server tier running on Amazon EC2 instances behind
load balancer, and are using Amazon RDS with read replicas. Which of the following methods should you use
to implement a self-healing and cost-effective architecture? Choose 2 answers from the optionsgiven below

A. Use an Amazon RDS Multi-AZ deployment.
B. Set up an Auto Scalinggroup for the web server tier along with an Auto Scaling policy that uses the
Amazon RDS DB CPU utilization Cloud Watch metric to scale the instances.
C. Set up an Auto Scalinggroup for the web server tier along with an Auto Scaling policy that uses the
Amazon EC2 CPU utilization CloudWatch metric to scale the instances.
D. Set up a third-party monitoring solution on a cluster of Amazon EC2 instances in order to emit custom
Cloud Watch metrics to trigger the termination of unhealthy Amazon EC2 instances.
E. Set up scripts on each Amazon EC2 instance to frequently send ICMP pings to the load balancer in
order to determine which instance is unhealthy and replace it.
F. Use a larger Amazon EC2 instance type for the web server tier and a larger DB instance type for the
data storage layer to ensure that they don't become unhealthy.
G. Set up an Auto Scalinggroup for the database tier along with an Auto Scaling policy that uses the
Amazon RDS read replica lag CloudWatch metric to scale out the Amazon RDS read replicas.

Answer: A,C

Explanation:
Explanation
The scaling of CC2 Instances in the Autoscaling group is normally done with the metric of the CPU
utilization of the current instances in the Autoscaling group
For more information on scaling in your Autoscaling Group, please refer to the below link:
* http://docs.aws.a
mazon.com/autoscaling/latest/userguide/as-scaling-si mple-step.html
Amazon RDS Multi-AZ deployments provide enhanced availability and durability for Database (DB)
Instances, making them a natural fit for production database workloads. When you provision a Multi-AZ DB
Instance, Amazon RDS automatically creates a primary DB Instance and synchronously replicates the data to a
standby instance in a different Availability Zone (AZ). Cach AZ runs on its own physically distinct,
independent infrastructure, and is engineered to be highly reliable. In case of an infrastructure failure, Amazon
RDS performs an automatic failover to the standby (or to a read replica in the case of Amazon Aurora), so that
you can resume database operations as soon as the failover is complete. For more information on RDS
Multi-AZ please refer to the below link:
* https://aws.amazon.com/rds/details/multi-az/
Option A is invalid because if you already have in-built metrics from Cloudwatch, why would you want to
spend more in using a a third-party monitoring solution.
Option B is invalid because health checks are already a feature of AWS CLB
Option C is invalid because the database CPU usage should not be used to scale the web tier.
Option C is invalid because increasing the instance size does not always guarantee that the solution will not
become unhealthy.
Option F is invalid because increasing Read-Replica's will not suffice for write operations if the primary DB
fails.

NEW QUESTION # 422
......

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