AWS Certified DevOps Engineer-Professional
The AWS Certified DevOps Engineer – Professional exam is intended for individuals who perform a DevOps engineer role with two or more years of experience provisioning, operating, and managing AWS environments.
- Lectures: 20
- Duration: 10 weeks
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1: Continuous Delivery and Process Automation
1.1 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.
1.2 Demonstrate an understanding of infrastructure configuration and automation.
1.3 Implement and manage continuous delivery processes using AWS services.
1.4 Develop and manage scripts and tools to automate operational tasks using the AWS SDKs, CLI,
and APIs.
2: Monitoring, Metrics, and Logging
2.1 Monitor availability and performance.
2.2 Monitor and manage billing and cost optimization processes.
2.3 Aggregate and analyze infrastructure, OS and application log files.
2.4 Use metrics to drive the scalability and health of infrastructure and applications.
2.5 Analyze data collected from monitoring systems to discern utilization patterns.
2.6 Manage the lifecycle of application and infrastructure logs
2.7 Leverage the AWS SDKs, CLIs and APIs for metrics and logging.
3: Security, Governance, and Validation
3.1 Implement and manage Identity and Access Management and security controls.
3.2 Implement and manage protection for data in-flight and at rest.
3.3 Implement, automate and validate cost controls for AWS resources.
3.4 Implement and manage automated network security and auditing.
3.5 Apply the appropriate AWS account and billing set-up options based on business requirements.
3.6 Implement and manage AWS resource auditing and validation.
3.7 Use AWS services to implement IT governance policies.
4: High Availability and Elasticity
4.1 Determine appropriate use of multi- Availability Zone versus multi-region architectures.
4.2 Implement self-healing application architectures.
4.3 Implement the most appropriate front-end scaling architecture.
4.4 Implement the most appropriate middle-tier scaling architecture.
4.5 Implement the most appropriate data storage scaling architecture.
4.6 Demonstrate an understanding of when to appropriately apply vertical and horizontal scaling
concepts.