I never thought that I will take the certification exam for DP 900 and never felt a need for the same for the last 18-20 years in my data architecture/engineering career. But of late, the data engineering/data architect job has become so competitive that you need some certifications to show that you are worthy of job especially since AI has made it very easy to cut/paste and show advanced skills on your profile. At least , that is what I have felt in the last 6 months. So, I decided to take DP-900 certification exam to enhance my portfolio. I cleared DP 900 exam with a high score. I prepared for 2 weeks and during that time I couldn't find good/authentic source of questions/material/guide for this Exam other than Microsoft official website. The topics covered are as below:
- Introduction to Microsoft Azure Data core data concepts
- Introduction to Microsoft Azure Data relational data in Azure
- Introduction to Microsoft Azure Data non-relational data in Azure
- Introduction to Microsoft Azure Data analytics in Azure
My exam test score was 895.
Another Exciting News! ๐
I have launched my DP-900: Azure Data Fundamentals in just 4 Hours! on Udemy. ๐
Link: https://www.udemy.com/course/dp-900-azure-data-fundamentals-certification-preparation/
Free coupon code: 4FDD6519787CB81E466A
Link with coupon: https://www.udemy.com/course/dp-900-azure-data-fundamentals-certification-preparation/?couponCode=4FDD6519787CB81E466Aโ
Starts: 10/03/2025 Ends: 10/04/2025
ONLY 100 redemptions available ๐ฅ Hurry up!
Step into Azure cloud computing for FREE ๐
Happy Learning! ๐
Cheers ๐ป DataLearnHub
https://datalearnhub.org/
One Microsoft certification that surprised me was DP-900 (Azure Data Fundamentals).
A lot of people dismiss it because itโs labeled as a โFundamentalsโ certification, but I found it provided a strong foundation for understanding how data moves through organizations.
The biggest areas I would focus on are:
- Relational vs Non-Relational Data
- Structured vs Unstructured Data
- Data Warehouses
- Data Lakes
- ETL and ELT concepts
- Analytics and Reporting
- Understanding when and why different data solutions are used
One thing that helped me was thinking less about the technology and more about the journey of the data.
Ask yourself:
- Where does the data originate?
- How does it get collected?
- Where is it stored?
- Who consumes it?
- What decisions are being made from it?
- What happens if the data is wrong?
As someone who spent 20+ years as a Seasoned Business Analyst and Data Analyst, this certification will be extremely helpful in allowing you to start connecting systems together rather than viewing them as isolated technologies.
I found it helpful to always think of data as a supply chain.
- Data is created somewhere.
- It moves through processes.
- It gets transformed.
- It gets reported.
Then someone uses it to make a decision.
Understanding that flow made many of the DP-900 concepts easier to remember because they became practical instead of theoretical.
My advice would be to spend less time memorizing definitions and more time understanding how data flows from input to output. Once you understand the lifecycle of data, many of the exam objectives start making much more sense. #azure #data #microsoft #certs
I'm planning to take the DP-900: Microsoft Certified: Azure Data Fundamentals exam and would love to get some recommendations for study materials. What are the best resources out there to prepare effectively? Looking for courses, books, practice tests, or any tips from those who have recently passed. Thanks in advance!
Not a great achievement considering the base-level exam, yet I wanted to share my short take on the resources I used so someone like me can waste less time pondering on that :)
Udemy - Scott Duffy's DP-900 Azure Data Fundamentals course
YouTube - John Savill's DP-900 Data Fundamentals Study Cram v2
Microsoft Azure Study Guide for DP-900 (followed only for specific parts)
I read a few people saying to listen to John Savill's study cram before doing any course which gives a clear idea about all the content. Although I did otherwise as I already had started with Udemy, in hindsight, I agree that the former may have been slightly better.
Scott Duffy's course is quick (being a busy student, I finished in 3-4 days), although a bit dry and superficial compared to the questions I got in exams. It will be hard to rely on it completely for 100% marks, but I felt it was sufficient to get above passing grade. On the other hand, John Savill's Study Cram is the BEST material for the exam, and I highly recommend going through the necessary (for you) parts of it more than once.
Lastly, I used Microsoft Azure's study guide for patching up a few concepts, like types of graphs in PowerBI, ACID properties, etc. which seem trivial but are fundamental concepts one should not just know but be on their feet with while going to the exam. I didn't watch any videos, just read the writeups and that's it.
My score was 826 (for reader's reference), which is not super great, but not barely passing either... Best efforts!! :)
I took the exam today after procrastinating for a while. It was a moderate-level basic test, and it took me 4-5 days to prep for it. I'm an engineering student who just graduated. I didn't really have any real-world experience dealing with these services. I took "in28Minutes" Udemy course, made my own notes, and then skimmed through Microsoft Learn official material. John Saville's video and a bunch of free practice tests the day before the exam......ended up scoring 780 which is okay ig. Honestly, you can just study for a couple of days and do a bunch of tests and you should be good to go. I hope this helps anyone looking to take the test.
I'm currently looking for jobs in the field of Data Analysis/Engineering, which prompted me to take this certification test. I actually ended up learning quite a few things through this so I was wondering if I should I go ahead and take up an associate-level certification or do you have any suggestions on how I can build a project using the services mentioned in this course? Just anything to boost my profile and gain some practical knowledge!
Iโm happy about my new certificate: Azure Data Fundamentals. This certificate not only proves my level of knowledge but also helps to bring one up to date with the current state of knowledge. The following topics were assessed:
-
Describe core data concepts
-
Identify considerations for working with relational data in Azure
-
Describe considerations for working with non-relational data in Azure
-
Explain an analytics workload in Azure
My learning strategy was simply to complete the learning modules on the Microsoft Learn portal. Nevertheless, I sweated over some questions because the topics were very broad. On one hand, you had to master data concepts theoretically; on the other hand, you also had to associate them with the appropriate Azure services. However, practical experience cannot be overlooked here, since there is no compression algorithm for experience โ you still have to get your hands dirty.
Hi! What learning materials do you recommend for this exam? And how long did you study? Any tips? This is my first time taking a certification exam online and I'm feeling nervous..