Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
0 Hour(s) 0 Minute(s)
Language
English
Taught by
Derar Alhussein | 8x Databricks Certified
Rating
1 views
Course Overview
NEW: V25 July 2025 | Practice Tests with Detailed Explanations for Databricks Data Engineer Associate certification exam
If you looking for practice tests for Databricks Data Engineer Associate certification exam, you have come to the right place! Two practice tests with detailed explanations are available to prepare you before appearing for the actual exam
The practice tests cover the following exam topics with detailed explanations:
Understand how to use and the benefits of using the Databricks Lakehouse Platform and its tools, including:
Data Lakehouse (architecture, descriptions, benefits)
Data Science and Engineering workspace (clusters, notebooks, data storage)
Delta Lake (general concepts, table management and manipulation, optimizations)
Build ETL pipelines using Apache Spark SQL and Python, including:
Relational entities (databases, tables, views)
ELT (creating tables, writing data to tables, cleaning data, combining and reshaping tables, SQL UDFs)
Python (facilitating Spark SQL with string manipulation and control flow, passing data between PySpark and Spark SQL)
Incrementally process data, including:
Structured Streaming (general concepts, triggers, watermarks)
Auto Loader (streaming reads)
Multi-hop Architecture (bronze-silver-gold, streaming applications)
Delta Live Tables (benefits and features)
Build production pipelines for data engineering applications and Databricks SQL queries and dashboards, including:
Jobs (scheduling, task orchestration, UI)
Dashboards (endpoints, scheduling, alerting, refreshing)
Understand and follow best security practices, including:
Entity Permissions (data objects Privileges)
Duration
Testers will have 90 minutes to complete each practice exam.
Questions
There are 45 multiple-choice questions on each practice exam. The questions will be distributed by high-level topic in the following way:
Databricks Intelligence Platform - 10%
Development and Ingestion - 30%
Data Processing & Transformations - 31%
Productionizing Data Pipelines - 18%
Data Governance & Quality - 11%
After passing these practice exams, you will be ready to take the certification exam.
I wish you all the best in your exam!
Course Content
- 1 section(s)
- Section 1 Practice Tests
What You’ll Learn
- Practice Questions on Databricks Lakehouse Platform and its tools
- Practice Questions on Building ETL pipelines using Apache Spark SQL and Python
- Practice Questions on Processing data incrementally in batch and streaming mode
- Practice Questions on Orchestrating production pipelines
- Practice Questions on Data Governance in Databricks
Skills covered in this course
Reviews
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yyogesh pathak
I reviewed the training material several times and then took the practice test, but I performed very poorly. It feels like the questions and the training content aren’t aligned, and now I’ve completely lost my confidence about taking the certification exam
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AAarón Lucas Pérez
Just passed. This is the most accurate set of questions imo. A few are practically the same, and those that aren't still cover mostly the same topics with similar wording, so it's a great resource to study for the certification all in all.
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VVijay R
These practice tests are a good way to check what you know and see where you need more work. Overall, I think they’re very helpful.
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SShantanu Sathe
I am not sure what type of questions will be in the real examination. The course in Databricks Academy does not explain PySpark it only explains SQL. So Probably questions related to that should be here. Also the Certifcate documentations does not include DAB. But this question set had them. Which makes me confuse on what to prepare.
