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The AWS Certified DevOps Engineer - Professional (DOP-C01) exam is designed to test the skills and knowledge of professionals in the area of DevOps engineering on the Amazon Web Services (AWS) platform. DOP-C01 Exam is intended for individuals who already hold an AWS Certified Developer - Associate or AWS Certified SysOps Administrator - Associate certification and have experience working in a DevOps engineer role.

AWS-DevOps Exam Syllabus Topics:

Section	Objectives
SDLC Automation - 22%
Apply concepts required to automate a CI/CD pipeline	- Set up repositories - Set up build services - Integrate automated testing (e.g., unit tests, integrity tests) - Set up deployment products/services - Orchestrate multiple pipeline stages
Determine source control strategies and how to implement them	- Determine a workflow for integrating code changes from multiple contributors - Assess security requirements and recommend code repository access design - Reconcile running application versions to repository versions (tags) - Differentiate different source control types
Apply concepts required to automate and integrate testing	- Run integration tests as part of code merge process - Run load/stress testing and benchmark applications at scale - Measure application health based on application exit codes (robust Health Check) - Automate unit tests to check pass/fail, code coverage CodePipeline, CodeBuild, etc. - Integrate tests with pipeline
Apply concepts required to build and manage artifacts securely	- Distinguish storage options based on artifacts security classification - Translate application requirements into Operating System and package configuration (build specs) - Determine the code/environment dependencies and required resources Example: CodeDeploy AppSpec, CodeBuild buildspec - Run a code build process
Determine deployment/delivery strategies (e.g., A/B, Blue/green, Canary, Red/black) and how to implement them using AWS services	- Determine the correct delivery strategy based on business needs - Critique existing deployment strategies and suggest improvements - Recommend DNS/routing strategies (e.g., Route 53, ELB, ALB, load balancer) based on business continuity goals - Verify deployment success/failure and automate rollbacks
Configuration Management and Infrastructure as Code - 19%
Determine deployment services based on deployment needs	- Demonstrate knowledge of process flows of deployment models - Given a specific deployment model, classify and implement relevant AWS services to meet requirements Given the requirement to have DynamoDB choose CloudFormation instead of OpsWorks Determine what to do with rolling updates
Determine application and infrastructure deployment models based on business needs	- Balance different considerations (cost, availability, time to recovery) based on business requirements to choose the best deployment model - Determine a deployment model given specific AWS services - Analyze risks associated with deployment models and relevant remedies
Apply security concepts in the automation of resource provisioning	- Choose the best automation tool given requirements - Demonstrate knowledge of security best practices for resource provisioning (e.g., encrypting data bags, generating credentials on the fly) - Review IAM policies and assess if sufficient but least privilege is granted for all lifecycle stages of a deployment (e.g., create, update, promote) - Review credential management solutions (e.g., EC2 parameter store, third party) - Build the automation CloudFormation template, Chef Recipe, Cookbooks, Code pipeline, etc.
Determine how to implement lifecycle hooks on a deployment	- Determine appropriate integration techniques to meet project requirements - Choose the appropriate hook solution (e.g., implement leader node selection after a node failure) in an Auto Scaling group - Evaluate hook implementation for failure impacts (if a remote call fails, if a dependent service is temporarily unavailable (i.e., Amazon S3), and recommend resiliency improvements - Evaluate deployment rollout procedures for failure impacts and evaluate rollback/recovery processes
Apply concepts required to manage systems using AWS configuration management tools and services	- Identify pros and cons of AWS configuration management tools - Demonstrate knowledge of configuration management components - Show the ability to run configuration management services end to end with no assistance while adhering to industry best practices
Monitoring and Logging - 15%
Determine how to set up the aggregation, storage, and analysis of logs and metrics	- Implement and configure distributed logs collection and processing (e.g., agents, syslog, flumed, CW agent) - Aggregate logs (e.g., Amazon S3, CW Logs, intermediate systems (EMR), Kinesis FH – Transformation, ELK/BI) - Implement custom CW metrics, Log subscription filters - Manage Log storage lifecycle (e.g., CW to S3, S3 lifecycle, S3 events)
Apply concepts required to automate monitoring and event management of an environment	- Parse logs (e.g., Amazon S3 data events/event logs/ELB/ALB/CF access logs) and correlate with other alarms/events (e.g., CW events to AWS Lambda) and take appropriate action - Use CloudTrail/VPC flow logs for detective control (e.g., CT, CW log filters, Athena, NACL or WAF rules) and take dependent actions (AWS step) based on error handling logic (state machine) - Configure and implement Patch/inventory/state management using ESM (SSM), Inspector, CodeDeploy, OpsWorks, and CW agents EC2 retirement/maintenance - Handle scaling/failover events (e.g., ASG, DB HA, route table/DNS update, Application Config, Auto Recovery, PH dashboard, TA) - Determine how to automate the creation of monitoring
Apply concepts required to audit, log, and monitor operating systems, infrastructures, and applications	- Monitor end to end service metrics (DDB/S3) using available AWS tools (X-ray with EB and Lambda) - Verify environment/OS state through auditing (Inspector), Config rules, CloudTrail (process and action), and AWS APIs - Enable, configure, and analyze custom metrics (e.g., Application metrics, memory, KCL/KPL) and take action - Ensure container monitoring (e.g., task state, placement, logging, port mapping, LB) - Distinguish between services that enable service level or OS level monitoring Example: AWS services that use OS agents (e.g., Inspector, SSM)
Determine how to implement tagging and other metadata strategies	- Segregate authority based on tagging (lifecycle stages – dev/prod) with Condition context keys - Utilize Amazon S3 system/user-defined metadata for classification and automation - Design and implement tag-based deployment groups with CodeDeploy - Best practice for cost allocation/optimization with tagging

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Amazon AWS Certified DevOps Engineer - Professional Sample Questions (Q24-Q29):

NEW QUESTION # 24
A company is deploying a new mobile game on AWS for its customers around the world. The Development team uses AWS Code services and must meet the following requirements:
- Clients need to send/receive real-time playing data from the backend frequently and with minimal latency
- Game data must meet the data residency requirement
Which strategy can a DevOps Engineer implement to meet their needs?

A. Deploy the backend application to multiple regions. Use AWS Direct Connect to serve the application backend to global customers. Any update to the code repository triggers a two-stage build-and-deployment pipeline in the region. After a successful deployment in the region, the pipeline continues to deploy the artifact to another region.
B. Deploy the backend application to multiple regions. Any update to the code repository triggers a two-stage build-and-deployment pipeline in the region. After a successful deployment in the region, the pipeline invokes the pipeline in another region and passes the build artifact location. The pipeline uses the artifact location and deploys applications in the new region.
C. Deploy the backend application to multiple regions. Any update to the code repository triggers a two-stage build and deployment pipeline. A successful deployment in one region invokes an AWS Lambda function to copy the build artifacts to an Amazon S3 bucket in another region. After the artifact is copied, it triggers a deployment pipeline in the new region.
D. Deploy the backend application to multiple Availability Zones in a single region. Create an Amazon CloudFront distribution to serve the application backend to global customers. Any update to the code repository triggers a two-stage build-and-deployment pipeline. The pipeline deploys the backend application to all Availability Zones.

Answer: C

NEW QUESTION # 25
You have enabled Elastic Load Balancing HTTP health checking. After looking at the AWS Management Console, you see that all instances are passing health checks, but your customers are reporting that your site is not responding.
What is the cause?

A. The HTTP health checking system is misreporting due to latency in inter-instance metadata synchronization.
B. The application is returning a positive health check too quickly for the AWS Management Console to respond.
C. The health check in place is not sufficiently evaluating the application function.
D. Latency in DNS resolution is interfering with Amazon EC2 metadata retrieval.

Answer: C

NEW QUESTION # 26
You need to run a very large batch data processingjob one time per day. The source data exists entirely in S3,
and the output of the processingjob should also be written to S3 when finished. If you need to version control
this processingjob and all setup and teardown logic for the system, what approach should you use?.

A. Model an AWSEMRjob in AWS Elastic Beanstalk.
B. Model an AWS EMRjob in AWS OpsWorks.
C. Model an AWSEMRjob in AWS CloudFormation.
D. Model an AWS EMRjob in AWS CLI Composer.

Answer: C

Explanation:
Explanation
With AWS Cloud Formation, you can update the properties for resources in your existing stacks. These
changes can range from simple configuration changes, such
as updating the alarm threshold on a Cloud Watch alarm, to more complex changes, such as updating the
Amazon Machine Image (AMI) running on an Amazon EC2
instance. Many of the AWS resources in a template can be updated, and we continue to add support for more.
For more information on Cloudformation version control, please visit the below URL:
* http://docs.aws.amazon.com/AWSCIoudFormation/latest/UserGuide/updating.stacks.wa
I kthrough.htm I

NEW QUESTION # 27
A consulting company was hired to assess security vulnerabilities within a client company's application and propose a plan to remediate all identified issues. The architecture is identified as follows: Amazon S3 storage for content, an Auto Scaling group of Amazon EC2 instances behind an Elastic Load Balancer with attached Amazon EBS storage, and an Amazon RDS MySQL database. There are also several AWS Lambda functions that communicate directly with the RDS database using connection string statements in the code.
The consultants identified the top security threat as follows: the application is not meeting its requirement to have encryption at rest.
What solution will address this issue with the LEAST operational overhead and will provide monitoring for potential future violations?

A. Enable SSE encryption on the S3 buckets and RDS database. Enable OS-based encryption of data on EBS volumes. Configure Amazon Inspector agents on EC2 instances to report on insecure encryption ciphers. Set up AWS Config rules to periodically check for non-encrypted S3 objects.
B. Enable SSE encryption on the S3 buckets, EBS volumes, and the RDS database. Store RDS credentials in EC2 Parameter Store. Enable a policy on the S3 bucket to deny unencrypted puts. Set up AWS Config rules to periodically check for non-encrypted S3 objects and EBS volumes, and to ensure that RDS storage is encrypted.
C. Configure the application to encrypt each file prior to storing on Amazon S3. Enable OS-based encryption of data on EBS volumes. Encrypt data on write to RDS. Run cron jobs on each instance to check for encrypted data and notify via Amazon SNS. Use S3 Events to call an AWS Lambda function and verify if the file is encrypted.
D. Enable Secure Sockets Layer (SSL) on the load balancer, ensure that AWS Lambda is using SSL to communicate to the RDS database, and enable S3 encryption. Configure the application to force SSL for incoming connections and configure RDS to only grant access if the session is encrypted. Configure Amazon Inspector agents on EC2 instances to report on insecure encryption ciphers.

Answer: B

NEW QUESTION # 28
A DevOps Engineer must create a Linux AMI in an automated fashion. The newly created AMI identification must be stored in a location where other build pipelines can access the new identification programmatically What is the MOST cost-effective way to do this?

A. Build a pipeline in AWS CodePipeline to take a snapshot of an Amazon EC2 instance running the latest version of the application. Then start a new EC2 instance from the snapshot and update the running instance using an AWS Lambda function. Take a snapshot of the updated instance, then convert it to an AMI. Store the AMI identification output in an Amazon DynamoDB table.
B. Launch an Amazon EC2 instance and install Packer. Then configure a Packer build with values defining how the image should be created. Build a Jenkins pipeline to invoke the Packer build when triggered to build an AMI. Store the AMI identification output in an Amazon DynamoDB table.
C. Create an AWS Systems Manager automation document with values instructing how the image should be created. Then build a pipeline in AWS CodePipeline to execute the automation document to build the AMI when triggered. Store the AMI identification output as a Systems Manager parameter.
D. Build a pipeline in AWS CodePipeline to download and save the latest operating system Open Virtualization Format (OVF) image to an Amazon S3 bucket, then customize the image using the guestfish utility. Use the virtual machine (VM) import command to convert the OVF to an AMI, and store the AMI identification output as an AWS Systems Manager parameter.

Answer: C

Explanation:
https://aws.amazon.com/blogs/devops/bluegreen-infrastructure-application-deployment-blog/

NEW QUESTION # 29
......

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AMAZON DOP-C01 PRACTICE TEST PDF & FREE DOP-C01 BRAINDUMPS

Amazon DOP-C01 Practice Test Pdf & Free DOP-C01 Braindumps