AWS DevOps Engineer Professional Exam advantages below
Amazon AWS DevOps Engineer Professional has more useful and relevant networks that help them in setting career goals for themselves. Amazon AWS DevOps Engineer Professional networks provide them with the right career direction than non certified usually are unable to get.
Amazon AWS DevOps Engineer Professional Certifications provide opportunities to get a job easily in which they are interested in instead of wasting years and ending without getting any experience.
Amazon AWS DevOps Engineer Professional is distinguished among competitors. Amazon AWS DevOps Engineer Professional certification can give them an edge at that time easily when candidates appear for a job interview employers seek to notify something which differentiates the individual to another.
Amazon AWS DevOps Engineer Professional has the knowledge to use the tools to complete the task efficiently and cost effectively than the other non-certified professionals lack in doing so.
Amazon AWS DevOps Engineer Professional Certification provides practical experience to candidates from all the aspects to be a proficient worker in the organization.
Amazon AWS DevOps Engineer Professional will be confident and stand different from others as their skills are more trained than non-certified professionals.
The AWS Certified DevOps Engineer – Professional or DOP-C01 exam focuses on DevOps engineers, developers, or any other specialist who is familiar with working with AWS software architecture.
Reference: https://aws.amazon.com/certification/certified-devops-engineer-professional/
Discount & Price
Someone may ask me if it has discount since the price is expensive. We may send out coupons on big official holidays. If you permit us we will send you the free demo of DOP-C01日本語 certification training files firstly and we send you coupons prior on holidays. As for the expensive price, if you buy the DOP-C01日本語 best questions you will pass exam 100%. If you prepare yourself and fail the exam you will pay high exam costs twice. You will waste more time and spirit too. You know how to choose. The price of all DOP-C01日本語 study materials for the high-gold-content certification is expensive.
AWS DevOps Engineer Professional Exam Requirements
There is no prerequisite for this AWS Certified DevOps Engineer Professional exam.
Our good service
We provide you best service too. As we know we guarantee 100% pass DOP-C01日本語 exam. Once you fail exam you can provide us your unqualified certification scanned. Our aim is "No Helpful, 100% Refund".We are 7*24hours on-line service. Whenever you have question about DOP-C01日本語 best questions please feel free to contact us we will try our best to reply you ASAP. We welcome you to download DOP-C01日本語 study materials whenever you want. We keep promise that your information will be important secret, we respect your personal action honestly. About our DOP-C01日本語 certification training files we have three types if you are not sure which is suitable for you please email us, we will let you know all the different details of their three versions.
Sometimes we may feel aimless to prepare an exam after school, we would like to get an DOP-C01日本語 study materials to learn the key knowledge accurately for examinations. Sometimes we may feel tired after work we would rather play games than learn a boring DOP-C01日本語 book. Now it is your chance.
We can provide the DOP-C01日本語 certification training and valid best questions for you, and guarantee you can pass exam 100% surely. It only takes you 24-32 hours for high-quality exercise. DOP-C01日本語 study materials are a short sample of the valid DOP-C01日本語 certification training materials. The practice questions contain several hundred questions which you should do repeatedly so that you can get complete key knowledge. Once you have good command of the knowledge. You will pass Amazon DOP-C01日本語 easily.
Also if you do not believe DOP-C01日本語 best questions are so magic and useful, you can download the DOP-C01日本語 study materials first. It is free. It is free. It is free. You can directly download yourself on our website. Also if you think it is troublesome you can provide your email address for us we will send you the DOP-C01日本語 certification training materials. I believe after you read our Amazon DOP-C01日本語 best questions you will want to order the official version. On the other hands you would like to know if DOP-C01日本語 study materials are latest, valid, and accurate, if they are made by high-quality, if they are authorized.
Authorized Soft and Files
Yes, I want to tell you certainly we are the authorized soft and files. Both our DOP-C01日本語 certification training materials and DOP-C01日本語 best questions are edited by our teaching staff. All we sold are the latest and valid. Our IT staff updates the information every day. Our teaching staff pays close attention to new information of exam. The DOP-C01日本語 study materials are similar with the real question you can see if you have attended exam.
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
- 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
- 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
|
| 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
|
| 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
- Handle scaling/failover events (e.g., ASG, DB HA, route table/DNS update, Application Config, Auto Recovery, PH dashboard, TA) |
| 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
|
| 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 |
Policies and Standards Automation - 10% | |
| Apply concepts required to enforce standards for logging, metrics, monitoring, testing, and security | - Detect, report, and respond to governance and security violations - Apply logging standards across application, operating system, and infrastructure - Apply context specific application health and performance monitoring - Outline standards for delivery models for logs and metrics (e.g., JSON, XML, Data Normalization) |
| Determine how to optimize cost through automation | - Prioritize automation effort to reduce labor costs - Implement right sizing of workload based on metrics - Assess ways to improve time to market through automating process orchestration and repeatable tasks - Diagnose outliers to determine use case fit
- Measure and automate cost optimization through events
|
| Apply concepts required to implement governance strategies | - Generalize governance standards across CI/CD pipeline - Outline and measure the real-time status of compliance with governance strategies - Report on compliance with governance strategies - Deploy governance policies related to self-service capabilities
|
Incident and Event Response - 18% | |
| Troubleshoot issues and determine how to restore operations | - Given an issue, evaluate how to narrow down the unhealthy components as quickly as possible - Given an increase in load, determine what steps to take to mitigate the impact - Determine the causes and impacts of a failure
- Determine the best way to restore operations after a failure occurs
|
| Determine how to automate event management and alerting | - Set up automated restores from backup in the event of a catastrophic failure - Set up methods to deliver alerts and notifications that are appropriate for different types of events - Assess the quality/actionability of alerts - Configure metrics appropriate to an application’s SLAs - Proactively update limits |
| Apply concepts required to implement automated healing | - Set up the correct scaling strategy to enable auto-healing when a failure occurs (e.g., with Auto Scaling policies) - Use the correct rollback strategy to avoid impact from failed deployments - Configure Route 53 to ensure cross-Region failover - Detect and respond to maintenance or Spot termination events |
| Apply concepts required to set up event-driven automated actions | - Configure Lambda functions or CloudWatch actions to implement automated actions - Set up CloudWatch event rules and/or Config rules and targets - Use AWS Systems Manager or Step Functions to coordinate components (e.g., Lambda, use maintenance windows) - Configure a build/roll-out process to automatically respond to critical software updates |
High Availability, Fault Tolerance, and Disaster Recovery - 16% | |
| Determine appropriate use of multi-AZ versus multi-Region architectures | - Determine deployment strategy based on HA/DR requirements - Determine data replication strategy based on cost and durability requirements - Determine infrastructure, platform, and services based on HA/DR requirements - Design for HA/FT/DR based on service availability (i.e., global/regional/single AZ) |
| Determine how to implement high availability, scalability, and fault tolerance | - Design deployment strategy to support HA/FT/scalability - Assess statefulness of application infrastructure components - Use load balancing to distribute traffic across multiple AZ/ASGs/instance types (spot/M4 vs C4) /targets - Use appropriate caching solutions to improve availability and performance |
| Determine the right services based on business needs (e.g., RTO/RPO, cost) | - Determine cost-effective storage solution for your application
- Choose a database platform and configuration to meet business requirements
- Choose a deployment service/model based on business requirements
- Determine when to use managed service vs. self-managed infrastructure (Docker on EC2 vs. ECS) |
| Determine how to design and automate disaster recovery strategies | - Automate failure detection - Automate components/environment recovery - Choose appropriate deployment strategy for environment recovery - Design automation to support failover in hybrid environment |
| Evaluate a deployment for points of failure | - Determine appropriate deployment-specific health checks - Implement failure detection during deployment - Implement failure event handling/response - Ensure that resources/components/processes exist to react to failures during deployment - Look for exit codes on each event of the deployment - Map errors to different points of deployment |
0 Customer Reviews
