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Microsoft GH-200 Exam Questions

Exam number/code: GH-200

Release/Update Date: 07 Aug, 2025

Number of Questions: Maximum of 72 Questions

Exam Name: GitHub Actions Exam

Exam Duration: 120 Minutes

Related Certification(s): Microsoft GitHub Certifications Certification

Microsoft GH-200 Exam Topics - You’ll Be Tested On

The Microsoft GH-200 exam is a comprehensive assessment designed to evaluate your expertise in data analysis, visualization, and collaboration tools within the Microsoft ecosystem. It covers a wide range of topics, including data preparation and cleansing, where you'll learn to transform raw data into a usable format, removing errors and inconsistencies. Data modeling and database design are also crucial, as you'll need to create efficient structures for data storage and retrieval. Additionally, the exam delves into data analysis techniques, such as descriptive and inferential statistics, allowing you to draw meaningful insights from data. Visualizing data is another key aspect, where you'll learn to create effective charts, graphs, and dashboards to communicate data-driven stories. The exam also covers data collaboration and sharing, ensuring you can effectively collaborate with team members and stakeholders. Finally, it assesses your understanding of data security and privacy, a critical aspect in today's data-driven world. By passing this exam, you'll demonstrate a strong foundation in data analytics and collaboration, opening doors to exciting career opportunities.

Real Microsoft GH-200 Exam Insights, from Actual Candidates

I was nervous yet excited as I embarked on my journey towards the Microsoft GH-200 exam. The thought of becoming certified in data analysis and visualization excited me, but the vastness of the topics made me a bit overwhelmed. I started with the basics, learning about data preparation and how to transform raw data into something usable. It was fascinating to see how simple cleaning and organizing could drastically improve the quality of data. As I progressed, I delved into data modeling and database design, understanding the importance of efficient data storage and retrieval. The challenges grew as I explored advanced data analysis techniques, but the satisfaction of uncovering meaningful insights from data kept me motivated. One of my favorite parts was learning about data visualization. Creating visually appealing charts and graphs that effectively communicated complex data stories was incredibly rewarding. I spent countless hours practicing, ensuring I could confidently tackle any data collaboration and sharing scenarios. As the exam date approached, I felt prepared, but a sense of nervousness persisted. However, my hard work paid off, and I passed the exam, achieving my goal. The sense of accomplishment was incredible, and I knew that my newfound skills would open doors to exciting opportunities in the world of data analysis and visualization.
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