
UdemyFour full-length practice exams, each with 55 multiple-choice questions and detailed explanations, prepare you for the Databricks Certified Data Engineer Associate credential. You'll have 90 minutes per exam, mirroring real conditions.
Questions span the exam blueprint: Databricks platform architecture, data ingestion and transformation, Delta Lake, ETL pipelines, Spark SQL and Python, structured streaming, and security best practices. Each question includes explanation, so wrong answers become learning moments.
Ideal if you're ready to test yourself objectively before attempting the certification exam. The detailed explanations teach as much as the questions themselves, turning practice into reinforced learning.
If you looking for practice tests for Databricks Data Engineer Associate certification exam, you have come to the right place! Four practice tests with detailed explanations are available to prepare you before appearing for the actual exam
Questions
There are 55 multiple-choice questions on each practice exam. The questions will be distributed by the following high-level topics:
Databricks Intelligence Platform
Data Ingestion and Loading
Data Transformation and Modeling
Working with Lakeflow Jobs
Implementing CI/CD
Troubleshooting, Monitoring, and Optimization
Governance and Security
Duration
Testers will have 90 minutes to complete each practice exam.
The practice tests cover the following exam topics with detailed explanations:
Understand how to use and the benefits of using the Databricks Intelligence 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)
After passing these practice exams, you will be ready to take the certification exam.
I wish you all the best in your exam!
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Not the best price we've seen. The lowest we've recorded is $13.99 on 3 Aug.
This is what we recorded in US pricing — not every price this course has ever had, and prices differ by country.