
Exam DP-900 Microsoft Azure Data Fundamentals - Mock Exams
Description
Microsoft Certified: Azure Data Fundamentals
Prepare with confidence for the Microsoft Azure Data Fundamentals (DP-900) certification by enrolling in this expertly designed mock exam course. Geared toward aspiring data professionals, business analysts, and IT personnel seeking foundational knowledge of core data concepts and Microsoft Azure data services, this course includes six full-length mock exams that mirror the format and difficulty of the actual DP-900 certification exam.
Each mock exam comprehensively covers the four main domains outlined in the DP-900 exam blueprint: core data concepts, relational and non-relational data models, analytics workloads, and Azure data services. You will encounter questions on topics such as data types, data processing, data storage options, Azure Synapse Analytics, Azure Cosmos DB, and real-time data ingestion with tools like Azure Stream Analytics.
Every question is accompanied by a thorough explanation, helping you understand not only the correct answer but also the reasoning behind it. These detailed rationales serve to reinforce your understanding, clarify complex concepts, and solidify your knowledge of how Azure’s data solutions function in real-world scenarios.
Whether you are beginning your journey in data or aiming to validate your skills, this course provides a rigorous and practical pathway to success in the DP-900 exam. Equip yourself with the knowledge and confidence to earn your certification and take the next step in your Azure data career.
Can I retake the practice tests?
Yes, you can attempt each practice test as many times as you like. After completing a test, you'll see your final score. Each time you retake the test, the questions and answer choices will be shuffled for a fresh experience.
Is there a time limit for the practice tests?
Yes, each test includes a time limit of 120 seconds per question.
What score do I need to pass?
You need to score at least 70% on each practice test to pass.
Are explanations provided for the questions?
Yes, every question comes with a detailed explanation.
Can I review my answers after the test?
Absolutely. You’ll be able to review all your submitted answers and see which ones were correct or incorrect.
Are the questions updated frequently?
Yes, the questions are regularly updated to provide the best and most relevant learning experience.
Additional Note: It’s highly recommended that you take the practice exams multiple times until you're consistently scoring 90% or higher. Don’t hesitate—start your preparation today. Good luck!
Who this course is for:
- Aspiring Data Professionals
- Business and Technical Decision Makers
- IT and Cloud Enthusiasts
- Software Developers and Application Support Staff
- Students and Recent Graduates
Instructor
EN
Python Developer/AI Enthusiast/Data Scientist/Stockbroker
Enthusiast of new technologies, particularly in the areas of artificial intelligence, the Python language, big data and cloud solutions. Graduate of postgraduate studies at the Polish-Japanese Academy of Information Technology in the field of Computer Science and Big Data specialization. Master's degree graduate in Financial and Actuarial Mathematics at the Faculty of Mathematics and Computer Science at the University of Lodz. Former PhD student at the faculty of mathematics. Since 2015, a licensed Securities Broker with the right to provide investment advisory services (license number 3073). Lecturer at the GPW Foundation, conducting training for investors in the field of technical analysis, behavioral finance, and principles of managing a portfolio of financial instruments.
Founder at e-smartdata
PL
Data Scientist, Securities Broker
Jestem miłośnikiem nowych technologii, szczególnie w obszarze sztucznej inteligencji, języka Python big data oraz rozwiązań chmurowych. Posiadam stopień absolwenta podyplomowych studiów na kierunku Informatyka, specjalizacja Big Data w Polsko-Japońskiej Akademii Technik Komputerowych oraz magistra z Matematyki Finansowej i Aktuarialnej na wydziale Matematyki i Informatyki Uniwersytetu Łódzkiego. Od 2015 roku posiadam licencję Maklera Papierów Wartościowych z uprawnieniami do czynności doradztwa inwestycyjnego (nr 3073). Jestem również wykładowcą w Fundacji GPW prowadzącym szkolenia dla inwestorów z zakresu analizy technicznej, finansów behawioralnych i zasad zarządzania portfelem instrumentów finansowych. Mam doświadczenie w prowadzeniu zajęć dydaktycznych na wyższej uczelni z przedmiotów związanych z rachunkiem prawdopodobieństwa i statystyką. Moje główne obszary zainteresowań to język Python, sztuczna inteligencja, web development oraz rynki finansowe.
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