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Amazon DOP-C01 (AWS Certified DevOps Engineer - Professional) Certification Exam is a widely recognized certification that validates a candidate's proficiency in designing, deploying, and operating applications and infrastructure on the AWS platform. AWS Certified DevOps Engineer - Professional certification is ideal for professionals working in the field of DevOps, who are responsible for automating and streamlining the software delivery process.

Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q207-Q212):

NEW QUESTION # 207
You currently have an application with an Auto Scalinggroup with an Elastic Load Balancer configured in
AWS. After deployment users are complaining of slow response time for your application. Which of the
following can be used as a start to diagnose the issue

A. Use Cloudwatch to monitor the CPU Utilization
B. Use Cloudwatch to monitor the ELB latency
C. Use Cloudwatch to monitor the HealthyHostCount metric
D. Use Cloudwatch to monitor the Memory Utilization

Answer: B

Explanation:
Explanation
High latency on the ELB side can be caused by several factors, such as:
* Network connectivity
* ELB configuration
* Backend web application server issues
For more information on ELB latency, please refer to the below link:
* https://aws.amazon.com/premiumsupport/knowledge-center/elb-latency-troubleshooting/

NEW QUESTION # 208
You have an ELB setup in AWS with EC2 instances running behind it. You have been requested to monitor the incoming connections to the ELB. Which of the below options can suffice this requirement?

A. Create a custom metric CloudWatch filter on your load balancer
B. Enable access logs on the load balancer
C. UseAWSCIoudTrail with your load balancer
D. Use a CloudWatch Logs Agent

Answer: B

Explanation:
Clastic Load Balancing provides access logs that capture detailed information about requests sent to your load balancer. Cach log contains information such as the time the request was received, the client's IP address, latencies, request paths, and server responses. You can use these access logs to analyze traffic patterns and to troubleshoot issues.
Option A is invalid because this service will monitor all AWS services
Option C and D are invalid since CLB already provides a logging feature.
For more information on ELB access logs, please refer to the below document link: from AWS
http://docs.aws.amazon.com/elasticloadbalancing/latest/classic/access-log-collection. html

NEW QUESTION # 209
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 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.
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. 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.
F. 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.
G. 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.

Answer: A,D

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 for 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 # 210
Which of the following is incorrect when it comes to using the instances in an Opswork stack?

A. You can use custom AMI'S as long as they are based on one of the AWS OpsWorks Stacks-supported AMIs
B. You can start and stop instances manually in a stack
C. You can use time-based automatic scaling with any stack
D. In a stack you can use a mix of both Windowsand Linux operating systems

Answer: D

Explanation:
Explanation
The AWS documentation mentions the following about Opswork stack
* A stack's instances can run either Linux or Windows.
A stack can have different Linux versions or distributions on different instances, but you cannot mix Linux and Windows instances.
* You can use custom AMIs (Amazon Machine Images), but they must be based on one of the AWS Ops Works Stacks-supported AMIs
* You can start and stop instances manually or have AWS OpsWorks Stacks automatically scale the number of instances. You can use time-based automatic scaling with any stack; Linux stacks also can use load-based scaling.
* In addition to using AWS OpsWorks Stacks to create Amazon EC2 instances, you can also register instances with a Linux stack that were created outside of AWS OpsWorks Stacks.
For more information on Opswork stacks, please visit the below link:
* http://docs.aws.amazon.com/opsworks/latest/userguide/workinginstances-os.
html

NEW QUESTION # 211
What is the only layer in a Docker image that is not read-only?

A. the last layer
B. they are all read-only
C. none are read-only
D. the first layer

Answer: A

Explanation:
A Docker image is built up from a series of layers. Each layer represents an instruction in the image's Dockerfile. Each layer except the very last one is read-only.
Reference:
https://docs.docker.com/engine/userguide/storagedriver/imagesandcontainers/#images-and- layers

NEW QUESTION # 212
......

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Ian Brown Ian Brown

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