This is the final course of the Exam Prep AZ-400: Microsoft DevOps Engineer Expert Specialization. This course focuses on understanding how to analyze metrics from instrumentation to gain insights and improve DevOps monitoring and workflows. Explore methods to automate security and compliance scanning for a more secure and efficient DevOps pipeline. Learn how to securely manage sensitive information in automation processes to protect critical data. Discover how to design and implement effective authentication and authorization methods to control access and secure resources.
This course is divided into two modules with multiple Lessons and Video Lectures, further segment into each module. This course facilitates learners with approximately 2:00-3:30 Hours of Video lectures that provide both Theory and Hands-On knowledge. Also, Graded and Ungraded assignments are provided with every module to test learners' ability.
Module 1: Develop a security and compliance plan
Module 2: Implement an instrumentation strategy
By the end of this course, a learner will be able to
1. Develop Strategies for Managing Sensitive Information
2. Implement Comprehensive Monitoring Across the Platform
3. Collect and Analyze Telemetry Data for Performance Optimization
4. Leverage Distributed Tracing and Log Analysis for Issue Resolution
The course is for
- Cloud Developers
- Monitoring Engineers
- Cloud Administrators
Overview
Syllabus
- Develop a security and compliance plan
- This secion emphasizes gaining a comprehensive understanding of authentication and authorization methods, highlighting their importance in securing applications and systems. It focuses on designing secure and robust authentication systems tailored to meet organizational needs. Additionally, it offers hands-on opportunities to implement these methods in real-world scenarios, ensuring practical knowledge and effective application.
- Implement an instrumentation strategy
- This section focuses on implementing comprehensive monitoring solutions across platforms to ensure system reliability and performance. It emphasizes collecting and analyzing telemetry data to optimize performance effectively. Additionally, it highlights leveraging distributed tracing and log analysis to identify and resolve issues, enabling proactive maintenance and enhanced operational efficiency.
Taught by
Whizlabs Instructor
