AWS Certified DevOps Engineer – Professional

AWS Certified DevOps Engineer Professional Exam :

  • Number of Questions: 60
  • Item Types: Multiple Choice
  • Exam time: 80 Mins.
  • Passing score: 65%
  • Price: $175 USD

Syllabus for AWS DevOps Engineer Proffesional Certification Exam

Continuous Delivery and Process Automation 55%
  • Demonstrate an understanding of application lifecycle management:
    • Application deployment management strategies such as rolling deployments and A/B.
    • Version control, testing, build tools and bootstrapping.
  • Demonstrate an understanding of infrastructure configuration and automation.
  • Implement and manage continuous delivery processes using AWS services.
  • Develop and manage scripts and tools to automate operational tasks using the AWS SDKs, CLI, and APIs.
Monitoring, Metrics and Logging 20%
  • Monitor availability and performance.
  • Monitor and manage billing and cost optimization processes.
  • Aggregate and analyze infrastructure, OS and application log files.
  • Use metrics to drive the scalability and health of infrastructure and applications.
  • Analyze data collected from monitoring systems to discern utilization patterns.
  • Manage the lifecycle of application and infrastructure logs
  • Leverage the AWS SDKs, CLIs and APIs for metrics and logging.
Security, Governance and Validation 10%
  • Implement and manage Identity and Access Management and security controls.
  • Implement and manage protection for data in-flight and at rest.
  • Implement, automate and validate cost controls for AWS resources.
  • Implement and manage automated network security and auditing.
  • Apply the appropriate AWS account and billing set-up options based on business requirements.
  • Implement and manage AWS resource auditing and validation.
  • Use AWS services to implement IT governance policies.
High Availability and Elasticity 15%
  • Determine appropriate use of multi- Availability Zone versus multi-region architectures.
  • Implement self-healing application architectures.
  • Implement the most appropriate front-end scaling architecture.
  • Implement the most appropriate middle-tier scaling architecture.
  • Implement the most appropriate data storage scaling architecture.
  • Demonstrate an understanding of when to appropriately apply vertical and horizontal scaling concepts.

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