My 2024 Microsoft Certification Plan

I’m currently studying to take a couple of Microsoft Certifications. I’m using Cloud, BI, Data and Analytics technologies all the time but with my current work break, it seems like the perfect time to schedule a couple of Microsoft certification tests.

Update: I’ve passed the three certs mentioned: Azure Cloud, Data and AI Fundamentals.

In thinking about what to take and how to study, I went to and came across an interactive PDF (see below). I liked that the pdf is interactive – in a browser it will take you to just what is needed for more info! Hover over the image and try the link for more! (Note: click once to pull up the PDF in your browser and then make a second selection to go right to that location on

Click on image for downloadable PDF!

I ended up thinking I should take the fundamentals Cloud, Data and AI and maybe the latest Power BI exam. My Power BI certification expired in 2020 and PBI is updated monthly so it might be time to take it again.

I asked to help me summarize the 4 exams for this page. The results are below and pretty good (I think), I especially liked the “citations” feature of – great for research!

AZ-900: Azure Cloud Fundamentals

The AZ-900: Microsoft Azure Fundamentals exam is designed for individuals aiming to showcase a basic understanding of cloud services and how Microsoft Azure delivers them. It covers a broad range of topics including cloud concepts, core Azure services, security, privacy, compliance, and trust, as well as Azure pricing and support. Candidates for this exam should have a foundational knowledge of cloud services and how those services are provided with Microsoft Azure. The exam format includes multiple-choice and multi-response questions, and it typically consists of 40-60 questions to be completed in 60 minutes. A passing score is 700 out of 1000.

DP-900: Azure Data Fundamentals

The DP-900: Microsoft Azure Data Fundamentals exam is an opportunity to demonstrate knowledge of core data concepts and related Microsoft Azure data services. This exam is intended for candidates beginning to work with data in the cloud. It covers topics such as core data concepts, working with relational and non-relational data on Azure, and an analytics workload on Azure. The exam format includes 40-60 questions, and the duration is 65 minutes. A passing score is 700 out of 1000. Candidates should be familiar with the concepts of relational and non-relational data, and different types of data workloads such as transactional or analytical.

AI – 900: Azure AI Fundamentals

The AI-900: Microsoft Azure AI Fundamentals exam is designed for candidates having basic and foundational knowledge in the field of machine learning (ML), artificial intelligence (AI) concepts, and related Microsoft Azure services. This exam covers topics such as AI workloads and considerations, fundamental principles of machine learning on Azure, features of computer vision workloads on Azure, and Natural Language Processing (NLP) workloads on Azure. The exam format includes 40-60 questions, and the duration is 65 minutes. A passing score is 700 out of 1000. It is an opportunity for candidates to demonstrate their knowledge of common ML and AI workloads and how to implement them on Azure.

PL-300: Power BI

The PL-300: Microsoft Power BI Data Analyst exam measures your ability to identify business requirements, clean and transform data, build data models, deliver actionable insights, enable others to perform self-service analytics, and deploy solutions for consumption using Power BI. The exam focuses on evaluating the candidate’s skills in designing and implementing data models, creating and managing reports and dashboards, and securing data in Power BI. The exam format includes 40 to 60 questions in different formats such as multiple-choice, true/false, drag and drop, list builds, and case studies, to be completed in 100 minutes. A passing score is 700 out of 1000. I passed this in 2021 so time to take it again!

Microsoft Challenges provide free vouchers for Certification Exams!

New format coming!

Thanks for stopping by Over the years, I’ve used wiki’s, blogs and other content sharing tools to post thoughts, tips and reference materials. Most of this was internal to the companies I’ve worked for. Either on “SharePoint Intranets” or “Confluence” pages or other web based knowledge management or content sharing sites.

At this point, it makes sense to post “samples of work” to build out my professional online resume. I’m using AWS and Azure to host this content. My interest is in finding insights and making data actionable. Not just buzzwords but actually demonstrating how all the pieces come together to give the end-user meaningful analytics.

I’ve been thinking about this for 10 plus years. Now it’s time to share!