Exam: DOP-C02
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DOP-C02 AWS Certified DevOps Engineer - Professional Exam
The AWS Certified DevOps Engineer - Professional showcases individuals’
technical expertise in provisioning, operating, and managing distributed
application systems on the AWS platform, giving them increased confidence and
credibility with peers, stakeholders, and customers. Organizations with these
qualified professionals can ensure speedy delivery of secure, compliant, systems
that are highly available and scalable.
Did you know? Job listings requiring this certification have increased by 52%
between Oct 2021 and Sept 2022 (source: Lightcast™ September 2022).
Exam overview
Level: Professional
Length: 180 minutes to complete the exam
Format: 75 questions, either multiple choice or multiple response.
Recommended AWS knowledge
The target candidate has the following:
• Experience in building highly automated infrastructure
• Experience in administering operating systems
• Experience with modern development and operations processes and methodologies
• Experience in securing AWS infrastructure
Exam Topics
Domain 1: SDLC Automation 22%
Domain 2: Configuration Management and IaC 17%
Domain 3: Resilient Cloud Solutions 15%
Domain 4: Monitoring and Logging 15%
Domain 5: Incident and Event Response 14%
Domain 6: Security and Compliance 17%
TOTAL 100%
Who should take this exam?
AWS Certified DevOps Engineer - Professional is intended for individuals
with two or more years of experience provisioning, operating, and managing AWS
environments. Before you take this exam, we recommend you have:
Experience developing code in at least one high-level programming language;
building highly automated infrastructures; and administering operating systems
Understanding of modern development and operations processes and methodologies
Ability to implement and manage continuous delivery systems and methodologies on
AWS
Ability to implement and automate security controls, governance processes, and
compliance validation
Ability to define and deploy monitoring, metrics, and logging systems on AWS
What does it take to earn this certification?
To earn this certification, you’ll need to take and pass the AWS Certified
DevOps Engineer - Professional exam (DOP-C02). The exam features a combination
of two question formats: multiple choice and multiple response. Additional
information, such as the exam content outline and passing score, is in the exam
guide.
Review sample questions that demonstrate the format of the questions used on
this exam and include rationales for the correct answers.
Prepare for your exam
You’ve set your goal. Now it’s time to build knowledge and skills to propel
your career. Check out these resources from AWS Training and Certification that
are relevant to AWS Certified DevOps Engineer - Professional. We don’t require
that you take any specific training before you take an exam. These recommended
resources are opportunities to learn from the experts at AWS.
Additional resources – including AWS Builder Labs and game-based learning to
complement your prep – are available with a subscription on AWS Skill Builder.
Select a resource type from the section below to learn more.
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QUESTION 1
A company has a mobile application that makes HTTP API calls to an Application
Load Balancer (ALB).
The ALB routes requests to an AWS Lambda function. Many different versions of
the application are
in use at any given time, including versions that are in testing by a subset of
users. The version of the
application is defined in the user-agent header that is sent with all requests
to the API.
After a series of recent changes to the API, the company has observed issues
with the application.
The company needs to gather a metric for each API operation by response code for
each version of
the application that is in use. A DevOps engineer has modified the Lambda
function to extract the
API operation name, version information from the user-agent header and response
code.
Which additional set of actions should the DevOps engineer take to gather the
required metrics?
A. Modify the Lambda function to write the API operation name, response code,
and version number
as a log line to an Amazon CloudWatch Logs log group. Configure a CloudWatch
Logs metric filter that
increments a metric for each API operation name. Specify response code and
application version as
dimensions for the metric.
B. Modify the Lambda function to write the API operation name, response code,
and version number
as a log line to an Amazon CloudWatch Logs log group. Configure a CloudWatch
Logs Insights query
to populate CloudWatch metrics from the log lines. Specify response code and
application version as
dimensions for the metric.
C. Configure the ALB access logs to write to an Amazon CloudWatch Logs log
group. Modify the
Lambda function to respond to the ALB with the API operation name, response
code, and version
number as response metadata. Configure a CloudWatch Logs metric filter that
increments a metric
for each API operation name. Specify response code and application version as
dimensions for the metric.
D. Configure AWS X-Ray integration on the Lambda function. Modify the Lambda
function to create
an X-Ray subsegment with the API operation name, response code, and version
number. Configure XRay
insights to extract an aggregated metric for each API operation name and to
publish the metric
to Amazon CloudWatch. Specify response code and application version as
dimensions for the metric.
Answer: B
QUESTION 2
A company provides an application to customers. The application has an
Amazon API Gateway REST
API that invokes an AWS Lambda function. On initialization, the Lambda function
loads a large
amount of data from an Amazon DynamoDB table. The data load process results in
long cold-start
times of 8-10 seconds. The DynamoDB table has DynamoDB Accelerator (DAX)
configured.
Customers report that the application intermittently takes a long time to
respond to requests. The
application receives thousands of requests throughout the day. In the middle of
the day, the
application experiences 10 times more requests than at any other time of the
day. Near the end of
the day, the application's request volume decreases to 10% of its normal total.
A DevOps engineer needs to reduce the latency of the Lambda function at all
times of the day.
Which solution will meet these requirements?
A. Configure provisioned concurrency on the Lambda function with a concurrency
value of 1. Delete the DAX cluster for the DynamoDB table.
B. Configure reserved concurrency on the Lambda function with a concurrency
value of 0.
C. Configure provisioned concurrency on the Lambda function. Configure AWS
Application Auto Scaling on the Lambda function with provisioned concurrency
values set to a minimum of 1 and a maximum of 100.
D. Configure reserved concurrency on the Lambda function. Configure AWS
Application Auto Scaling on the API Gateway API with a reserved concurrency
maximum value of 100.
Answer: C
QUESTION 3
A company is adopting AWS CodeDeploy to automate its application deployments
for a Java-Apache
Tomcat application with an Apache Webserver. The development team started with a
proof of
concept, created a deployment group for a developer environment, and performed
functional tests
within the application. After completion, the team will create additional
deployment groups for
staging and production.
The current log level is configured within the Apache settings, but the team
wants to change this
configuration dynamically when the deployment occurs, so that they can set
different log level
configurations depending on the deployment group without having a different
application revision
for each group.
How can these requirements be met with the LEAST management overhead and without
requiring
different script versions for each deployment group?
A. Tag the Amazon EC2 instances depending on the deployment group. Then place a
script into the
application revision that calls the metadata service and the EC2 API to identify
which deployment
group the instance is part of. Use this information to configure the log level
settings. Reference the
script as part of the AfterInstall lifecycle hook in the appspec.yml file.
B. Create a script that uses the CodeDeploy environment variable
DEPLOYMENT_GROUP_ NAME to
identify which deployment group the instance is part of. Use this information to
configure the log
level settings. Reference this script as part of the BeforeInstall lifecycle
hook in the appspec.yml file.
C. Create a CodeDeploy custom environment variable for each environment. Then
place a script into
the application revision that checks this environment variable to identify which
deployment group
the instance is part of. Use this information to configure the log level
settings. Reference this script as
part of the ValidateService lifecycle hook in the appspec.yml file.
D. Create a script that uses the CodeDeploy environment variable
DEPLOYMENT_GROUP_ID to
identify which deployment group the instance is part of to configure the log
level settings. Reference
this script as part of the Install lifecycle hook in the appspec.yml file.
Answer: B
QUESTION 4
A company requires its developers to tag all Amazon Elastic Block Store
(Amazon EBS) volumes in an
account to indicate a desired backup frequency. This requirement Includes EBS
volumes that do not
require backups. The company uses custom tags named Backup_Frequency that have
values of none,
dally, or weekly that correspond to the desired backup frequency. An audit finds
that developers are
occasionally not tagging the EBS volumes.
A DevOps engineer needs to ensure that all EBS volumes always have the
Backup_Frequency tag so
that the company can perform backups at least weekly unless a different value is
specified.
Which solution will meet these requirements?
A. Set up AWS Config in the account. Create a custom rule that returns a
compliance failure for all
Amazon EC2 resources that do not have a Backup Frequency tag applied. Configure
a remediation
action that uses a custom AWS Systems Manager Automation runbook to apply the
Backup_Frequency tag with a value of weekly.
B. Set up AWS Config in the account. Use a managed rule that returns a
compliance failure for
EC2::Volume resources that do not have a Backup Frequency tag applied. Configure
a remediation
action that uses a custom AWS Systems Manager Automation runbook to apply the
Backup_Frequency tag with a value of weekly.
C. Turn on AWS CloudTrail in the account. Create an Amazon EventBridge rule that
reacts to EBS
CreateVolume events. Configure a custom AWS Systems Manager Automation runbook
to apply the
Backup_Frequency tag with a value of weekly. Specify the runbook as the target
of the rule.
D. Turn on AWS CloudTrail in the account. Create an Amazon EventBridge rule that
reacts to EBS
CreateVolume events or EBS ModifyVolume events. Configure a custom AWS Systems
Manager
Automation runbook to apply the Backup_Frequency tag with a value of weekly.
Specify the runbook
as the target of the rule.
Answer: B
QUESTION 5
A company is using an Amazon Aurora cluster as the data store for its
application. The Aurora cluster
is configured with a single DB instance. The application performs read and write
operations on the
database by using the cluster's instance endpoint.
The company has scheduled an update to be applied to the cluster during an
upcoming maintenance
window. The cluster must remain available with the least possible interruption
during the
maintenance window.
What should a DevOps engineer do to meet these requirements?
A. Add a reader instance to the Aurora cluster. Update the application to use
the Aurora cluster
endpoint for write operations. Update the Aurora cluster's reader endpoint for
reads.
B. Add a reader instance to the Aurora cluster. Create a custom ANY endpoint for
the cluster. Update
the application to use the Aurora cluster's custom ANY endpoint for read and
write operations.
C. Turn on the Multi-AZ option on the Aurora cluster. Update the application to
use the Aurora cluster
endpoint for write operations. Update the Aurora cluster’s reader endpoint for
reads.
D. Turn on the Multi-AZ option on the Aurora cluster. Create a custom ANY
endpoint for the cluster.
Update the application to use the Aurora cluster's custom ANY endpoint for read
and write
operations.
Answer: B
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