DASA SRE Next Gen - Including Exam

This training is ideal for professionals who want to enhance their SRE knowledge and skills. It is suitable for:

- IT professionals with 3+ years of experience, looking to deepen their knowledge and skills in SRE practices.
- Individuals eager to adapt SRE to the evolving landscape of technology, particularly in areas like AI, automation, and cloud computing.
- Professionals involved in budgeting and financial management for SRE practices.

After completing this program, you will be able to:

• Adapt SRE practices to the evolving IT landscape, including AI and automation.
• Implement observability practices for optimal system monitoring.
• Design resilient, scalable, and reliable software systems.
• Promote sustainability within SRE practices.
• Consider the impact of organizational culture and governance in system reliability.
• Optimize cost while maintaining operational reliability.

• Define SRE and its significance in today’s software ecosystems.
• Describe common SRE terminologies to establish a shared understanding of key concepts.
• Identify challenges in modern software environments that make SRE essential for operational success.

• Discuss the limitations of traditional SRE practices and the emergence of "SRE Next Gen".
• Highlight the new skill sets and tools needed for SRE professionals.

• Define observability and monitoring within the context of modern IT systems.
• Analyze how evolving IT infrastructure necessitates a shift in traditional monitoring practices.
• Develop skills to design and implement telemetry strategies that enhance observability.

• Define the principles of software resilience, its importance, and its role in modern systems.
• Identify common failure modes, their impacts on software systems.
• Discuss the evolving relationship between development, operations, and reliability teams in the SRE Next Gen environment.

• Identify common failure modes in AI models and systems that impact overall reliability.
• Provide actionable recommendations for improving the reliability and robustness of AI systems.
• Discuss the challenges and solutions related to AI model reliability, monitoring, and failure modes in production environments.

• Explain the core design principles for ensuring scalability, reliability.
• Explore best practices for maintaining quality and adhering to industry standards throughout the development lifecycle.

• Define the concept of Green SRE, its relationship with sustainability practices.
• Create a plan for integrating energy efficient practices into SRE operations.
• Measure the energy efficiency of software projects and identify sustainability metrics.

• Analyze the impact of organizational structure, culture, and governance models on achieving reliability at scale.
• Explain the importance of governance models in aligning business objectives with technical reliability goals.

• Define operational excellence and its critical role in ensuring system reliability.
• Explain how incident response frameworks contribute to improving reliability and minimizing disruptions.

• Identify cost drivers in SRE and develop effective budgeting strategies for resource allocation.
• Explore best practices for optimizing cost efficiency throughout the development and deployment lifecycle.

• Basic familiarity with Agile, Scrum, and DevOps framework is beneficial.

Certificate: DASA SRE Next Gen

Exam Details:

• Delivery: AI Proctored
• Format: Closed-book
• Proctoring: Automated
• Duration: 80 minutes
• Questions: 40 Questions
• Pass Grade: 65%