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Certificazione AWS Certified DevOps Engineer – Professional

Corsi e Certificazioni Amazon AWS - Amazon Web Service - AWS Certification - Formazione AWS - Cloud Practtioner - Solution Architect - DevOps Engineer - Developer - SysOps Administrator - Aws Machine Learning - AWS Security - AWS Database - AWS Data Analytics - AWS Specialty

Certificazione AWS Certified DevOps Engineer – Professional

Panoramica | Svolgimento e Durata | Prerequisiti
Argomenti D’esame   |  Corsi di Preparazione

Panoramica   Svolgimento e Durata
Prerequisiti
Argomenti D’esame    Corsi di Preparazione

PANORAMICA

Certificazione AWS Certified DevOps Engineer – Professional

Esame AWS Certified DevOps Engineer – Professional;

 

The AWS Certified DevOps Engineer – Professional (DOP-C01) exam is intended for individuals who perform a DevOps engineer role. The exam validates a candidate’s technical expertise in provisioning, operating, and managing distributed application systems on the AWS platform.

The exam also validates a candidate’s ability to complete the following tasks:

  • Implement and manage continuous delivery systems and methodologies on AWS
  • Implement and automate security controls, governance processes, and compliance validation
  • Define and deploy monitoring, metrics, and logging systems on AWS
  • Implement systems that are highly available, scalable, and self-healing on the AWS platform
  • Design, manage, and maintain tools to automate operational processes

Per conseguire la Certificazione AWS Certified DevOps Engineer – Professional è necessario sostenere con successo il seguente esame:
AWS DOP-C01;

Corsi propedeutici alla certificazione

Corsi di Preparazione:

  • Advanced Developing on AWS
  • Exam Readiness: AWS Certified DevOps Engineer – Professional

Conttaci ora per ricevere tutti i dettagli e per richiedere, senza alcun impegno, di parlare direttamente con uno dei nostri Docenti CLICCA QUI.
Oppure chiamaci subito al nostro numero verde  800-177596.

 SVOLGIMENTO E DURATA

Esame AWS Certified DevOps Engineer – Professional Durata 180 minuti circa 75 quesiti;

Negli esami sono presenti quesiti formulati in lingua inglese in forme differenti: Risposta Multipla; completamento di testo, collegamenti concettuali Drag and Drop; vere e proprie simulazioni laboratoriali.

 PREREQUISITI

Si consiglia la frequentazione dei seguenti corsi:

  • DevOps Engineering on AWS;
  • Exam Readiness: AWS Certified DevOps Engineer – Professional;

ARGOMENTI D’ESAME

Esame AWS Certified DevOps Engineer – Professional – DOP-C01

Domain 1: SDLC Automation

  • 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 o 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 o 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

 

Domain 2: Configuration Management and Infrastructure as Code

  • 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 o 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

 

Domain 3: Monitoring and Logging

  • 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 o 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 o 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

 

Domain 4: Policies and Standards Automation

  • 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 o Example: Configuration drift
  • Measure and automate cost optimization through events o Example: Trusted Advisor
  • 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 o Example: Service Catalog, CFN Nag

 

Domain 5: Incident and Event Response

  • 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 o Example: Deployment, operations
  • Determine the best way to restore operations after a failure occurs
  • Investigate and correlate logged events with application components o Example: application source code
  • 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

 

Domain 6: High Availability, Fault Tolerance, and Disaster Recovery

  • 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 o Example: tiered, archival, EBS type, hot/cold
  • Choose a database platform and configuration to meet business requirements
  • Choose a cost-effective compute platform based on business requirements o Example: Spot
  • Choose a deployment service/model based on business requirements o Example: Code Deploy, Blue/Green deployment
  • 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

 CORSI DI PREPARAZIONE

  • DevOps Engineering on AWS;
  • Exam Readiness: AWS Certified DevOps Engineer – Professional;
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