![[Exam Report] Datadog Fundamentals — A Modern Learning Approach Leveraging AI (NotebookLM & Antigravity)](/_next/image?url=https%3A%2F%2Fmedia2.dev.to%2Fdynamic%2Fimage%2Fwidth%3D800%252Cheight%3D%252Cfit%3Dscale-down%252Cgravity%3Dauto%252Cformat%3Dauto%2Fhttps%253A%252F%252Fdev-to-uploads.s3.amazonaws.com%252Fuploads%252Farticles%252Flcc45hoqbkgax5hy9553.png&w=1200&q=75)
[Exam Report] Datadog Fundamentals — A Modern Learning Approach Leveraging AI (NotebookLM & Antigravity)
Introduction With a Datadog implementation planned for an upcoming project, I recently took the Datadog Fundamentals exam to build a solid foundation. As an application engineer with no prior experience in professional monitoring tools, I wanted to see how efficiently I could learn by leveraging modern AI tools. I’m happy to share that I passed! Exam Results: Time Taken: 61 minutes (out of 120 minutes total) Overall Score: 67.0 / 75 Result: PASS My Background I am primarily an Application Engineer , not a dedicated DevOps or Infrastructure specialist. One thing I prioritize for my career growth is taking IT certification exams in English , even though my native language is Japanese. I find that consuming technical documentation and taking exams in English is a great way to stay sharp in the global tech landscape. Key Certifications (for context) To give you an idea of my baseline knowledge: Cloud: AWS Certified Solutions Architect – Professional (and 3 Associates) Japanese National Exa
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