
Databricks Certified Data Engineer Associate - Mock Exams
Description
Databricks Certified Data Engineer Associate
This course is a professionally designed exam preparation resource for aspiring data engineers seeking to validate their foundational knowledge of the Databricks Lakehouse Platform. This course consists of six full-length mock exams, each carefully aligned with the official exam blueprint to provide a comprehensive and realistic assessment experience.
Each mock exam includes a balanced mix of scenario-based and conceptual questions that cover the core competencies tested in the certification exam. Key focus areas include data ingestion using Auto Loader, transforming data with Apache Spark DataFrames and SQL, writing and managing Delta Lake tables, orchestrating workflows with Databricks Jobs, and applying best practices for data governance and optimization.
What sets this course apart is its emphasis on detailed explanations for every question. Each answer is accompanied by a clear and concise rationale, helping you understand not just the correct response but the underlying concepts and decision-making processes. These explanations are designed to reinforce your learning, correct misconceptions, and deepen your understanding of Databricks tools and best practices.
Whether you're preparing for your first certification attempt or looking to solidify your Databricks data engineering knowledge, this course offers a structured and effective path to exam readiness. Prepare with confidence and accelerate your journey toward becoming a Databricks Certified Data Engineer Associate.
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:
- Data Engineers
- Data Analysts and BI Developers
- ETL Developers
- Cloud Data Platform Professionals
- Software Engineers with Data Responsibilities
- Students and Recent Graduates in Data Programs
- Professionals Preparing for the Professional-Level Exam
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
Python Developer/AI Enthusiast/Data Scientist/Stockbroker
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.
Założyciel platformy e-smartdata