> ## Content Index > Fetch the complete content index at: https://www.anasabaziz.com/llms.txt > Use this file to discover other available public pages before exploring further. # Passing the PL-300: My Experience and Preparation Tips - URL: https://www.anasabaziz.com/passing-the-pl-300-my-experience-and-preparation-tips/ - Published: 2026-11-09T10:46:19.000Z - Updated: 2026-11-09T10:46:19.000Z - Description: Passed the PL-300 Power BI exam with 729. Here are my preparation tips, lessons from Microsoft Learn, and plans for the future. - Author: Anas - Tags: Career & Productivity, Power BI I recently **passed the PL-300: Microsoft Power BI Data Analyst exam** with a score of **729 out of 1,000**. ![](https://storage.ghost.io/c/10/2b/102b44ac-b001-4e5c-bf76-dad05157f35d/content/images/2026/11/image.png) Preparing for it gave me a useful chance to review what I knew, find gaps, and think about where my Power BI work goes next. For anyone preparing for PL-300, Here's I'll be sharing here my experience and preparation tips. **Table of Contents** - [Easy yet Difficult](#section-1) - [Start with practical Power BI experience](#section-2) - [Use Microsoft Learn to find gaps](#section-3) - [Use external courses with the exam scope in mind](#section-4) - [What comes next: AI agents and Microsoft Fabric](#section-5) - [My verdict on preparing for PL-300](#section-6) ## Easy yet Difficult The easier part was revisiting familiar concepts. I had already spent years working with tools like Power BI, so I did not need to learn everything from the beginning. That reduced the time I needed to spend on the learning materials. That is also an important limit to my experience. **Someone starting from scratch should not use my preparation time as a benchmark**. Years of practice were already part of my preparation, even if they happened before I decided to sit the exam. The harder part was applying that knowledge. The questions felt less focused on recalling individual facts and more focused on choosing an approach for a business situation. Access to Microsoft Learn during the exam reminded me of working with Copilot: information helps, but I still need enough understanding to use it well. I need to recognize the problem and judge whether the information answers it. Microsoft currently allows Learn access during eligible role-based exams. The exam timer keeps running, and no extra time is added for looking things up. One of my mistakes was trying to refer too much to Microsoft Learn instead of just answering based on my knowledge. I spent a lot of time in the early questions instead of the business cases. ## Start with practical Power BI experience My first recommendation is to **gain experience delivering a Power BI project from beginning to end**. Ideally, that means working with an organization's data and producing reports that people actually use. Real business data gives you problems that a clean training dataset may never reveal. Think about inconsistent names, missing values, or totals that need investigation. These are examples of the kinds of issues worth practicing before you focus only on report design. For me, readiness includes being able to move from messy data to a clear dashboard for senior management. That requires understanding what the numbers mean, how they are calculated, and which decisions the report should support. When practicing, I would ask: - Can I explain why I cleaned the data this way? - Can I check whether the model produces the expected totals? - Can I explain the calculation behind each important measure? - Can someone use the report to answer the business question? You do not need a decade of experience before considering the exam. My point is that practical work gives the learning material context. It might be a good idea to take the exam only once you have practical work experience. ## Use Microsoft Learn to find gaps I used Microsoft’s official Power BI learning materials to review the fundamentals. This helped me look beyond the features I regularly use. That matters because daily work can become specialized. You can be comfortable building reports while having less exposure to other parts of Power BI. On-premise data gateways are a useful example. They may be unfamiliar to someone whose normal work never requires them. But as someone that uses an On-Premise Database at work, I use it everyday. ![](https://storage.ghost.io/c/10/2b/102b44ac-b001-4e5c-bf76-dad05157f35d/content/images/2026/11/image-1.png) On-premise data gateway in Power BI My recommendation is to use that outline as a checklist. **Mark the topics you can explain confidently, then spend more time on the ones you rarely encounter**. For each unfamiliar topic, aim to understand the problem it solves and when you would use it. Simply recognizing a feature’s name offers much less help when you need to make a decision. Find a way to use the Power BI feature you're unfamiliar with. This approach also keeps preparation focused. Familiar topics need review; unfamiliar topics need closer attention and, where possible, hands-on practice. ## Use external courses with the exam scope in mind I also took courses from [Rujilabs](https://powerbi.rujilabs.com/?ref=anasabaziz.com#/) and [BelajarPowerBI](https://belajarpowerbi.com/?ref=anasabaziz.com). I found them useful for learning how to use Power BI. My caution is about relying on any course as your complete exam preparation plan. A course can teach valuable practical skills while covering a different scope from the certification. For example, I had used PBIR and read up on direct lake connectivity mode while it was in preview, but it did not appear in my exam. That observation does not establish a rule about what another candidate will encounter. Microsoft says most questions cover generally available features, but commonly used preview features may also appear. I would use external courses for demonstrations and practical explanations, then **compare what I learned with the official objectives**. This makes it easier to spot topics that need more study without dismissing useful skills simply because they extend beyond exam preparation. ## What comes next: AI agents and Microsoft Fabric After passing PL-300, my next goal is to spend less time manually building in Power BI. My focus is moving toward Microsoft Fabric: defining the logic, reviewing the output, and challenging the results. I am also experimenting with AI agents and Model Context Protocol (MCP) to handle more implementation work. ![](https://storage.ghost.io/c/10/2b/102b44ac-b001-4e5c-bf76-dad05157f35d/content/images/2026/11/image-2.png) Use of PowerBI MCP Server These are experiments and a direction for my work. **I do not yet have a measured time saving to report**. What interests me is how this could change where I spend my attention. If an agent helps produce an implementation, I still need to decide whether it answers the business question. I need to check the assumptions, calculations, and results. That connects directly to my exam experience. Access to information did not remove the need for understanding. As I explore more automation, that understanding remains central to reviewing the work. ## My verdict on preparing for PL-300 Passing with 729 out of 1000 was a welcome milestone. The preparation also gave me a reason to review familiar tools and look at areas outside my normal workflow. My recommendation is to **combine practical projects with Microsoft’s official learning materials**. Use external courses to strengthen your understanding, and check their coverage against the current exam objectives. For my own next step, I want to apply that foundation to AI-assisted implementation and deeper work in Microsoft Fabric. The aim is to spend more time defining useful logic and checking whether the results deserve trust. If you are preparing for PL-300 yourself, all the best!