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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q201-Q206):

NEW QUESTION # 201
A company is implementing AWS CodePipeline to automate its testing process. The company wants to be notified when the execution state fails and used the following custom event pattern in Amazon CloudWatch:

Which type of events will match this event pattern?

A. All the events across all pipelines.
B. All rejected or failed approval actions across all the pipelines.
C. Approval actions across all the pipelines.
D. Failed deploy and build actions across all the pipelines.

Answer: C

NEW QUESTION # 202
A Solutions Architect is building an application on AWS that will require 20,000 IOPS on a particular volume
to support a media event. Once the event ends, the IOPS need is no longer required. The marketing team asks
the Architect to build the platform to optimize storage without incurring downtime.
How should the Architect design the platform to meet these requirements?

A. Stop the Amazon EC2 instance and provision IOPS for the EBS volume.
B. Change the EBS volume type to Provisioned IOPS.
C. Enable an API Gateway to change the endpoints for the Amazon EC2 instances.
D. Change the Amazon EC2 instant types.

Answer: B

NEW QUESTION # 203
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. 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.
B. 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.
C. Use an Amazon RDS Multi-AZ deployment.
D. 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.
E. 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.
F. 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.
G. 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.

Answer: C,D

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 # 204
A Developer is maintaining a fleet of 50 Amazon EC2 Linux servers. The servers are part of an Amazon EC2 Auto Scaling group, and also use Elastic Load Balancing for load balancing. Occasionally, some application servers are being terminated after failing ELB HTTP health checks. The Developer would like to perform a root cause analysis on the issue, but before being able to access application logs, the server is terminated. How can log collection be automated?

A. Use Auto Scaling lifecycle hooks to put instances in a Pending:Wait state. Create an Amazon CloudWatch Alarm for EC2 Instance Terminate and trigger an AWS Lambda function that executes an SSM Run Command script to collect logs, push them to Amazon S3, and complete the Successful lifecycle action once logs are collected.
B. Use Auto Scaling lifecycle hooks to put instances in a Terminating:Wait state. Create an Amazon CloudWatch Events rule for EC2 Instance- and trigger an AWS Lambda function that executes a SSM Run Command script to collect logs, push them to Amazon S3, terminate Lifecycle Action and complete the lifecycle action once logs are collected.
C. Use Auto Scaling lifecycle hooks to put instances in a Terminating:Wait state. Create an Amazon CloudWatch subscription filter for EC2 Instance and trigger a CloudWatch agent that executes a script to called logs, push them to Amazon S3, and complete the lifecycle action Terminate Successful once logs are collected.
D. Use Auto Scaling lifecycle hooks to put instances in a Terminating:Wait state. Create a Config rule for EC2 Instance-terminate Lifecycle and trigger a step function that executes a script to collect logs, push them to Amazon S3, and complete the lifecycle action once logs are collected. Action

Answer: B

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

NEW QUESTION # 205
Your application's Auto Scaling Group scales up too quickly, too much, and stays scaled when traffic decreases.
What should you do to fix this?

A. Use larger instances instead of many smaller ones, so the Group stops scaling out so much and wasting resources as the OS level, since the OS uses a higher proportion of resources on smaller instances.
B. Calculate the bottleneck or constraint on the compute layer, then select that as the new metric, and set the metric thresholds to the bounding values that begin to affect response latency.
C. Set a longer cooldown period on the Group, so the system stops overshooting the target capacity. The issue is that the scaling system does not allow enough time for new instances to begin servicing requests before measuring aggregate load again.
D. Raise the CloudWatch Alarms threshold associated with your autoscaling group, so the scaling takes more of an increase in demand before beginning.

Answer: B

Explanation:
Systems will always over-scale unless you choose the metric that runs out first and becomes constrained first.
You also need to set the thresholds of the metric based on whether or not latency is affected by the change, to justify adding capacity instead of wasting money.
Reference:
http://docs.aws.amazon.com/AutoScaling/latest/DeveloperGuide/policy_creating.html

NEW QUESTION # 206
......

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100% Pass-Rate Cert AWS-DevOps Guide - Pass AWS-DevOps in One Time - Reliable AWS-DevOps Exam Dump

Excellent Offers By FreePdfDump – Free Amazon AWS-DevOps Dumps Updates and Free Demo

Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q201-Q206):

AWS-DevOps exam braindumps: AWS Certified DevOps Engineer - Professional & AWS-DevOps study guide

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