Databricks Certified Data Engineer Associate: Practice Exams

Welcome to this course. If you want to get certified as Databricks Certified Data Engineer Associate easily and in just one attempt then you have definitely come to the right place. These 4 practice exams are up-to-date and have a total of 180 questions with in-depth explanations that will help you to prepare for the actual certification exam of both versions V2 and V3. This course covers all the concepts that you need to learn in order to get certified with this Databricks certification. You can find all the relevant information of this certification given in below sections along with the course details. I wish you all the best and I am looking forward to see you in the course.

Databricks Certified Data Engineer Associate

The Databricks Certified Data Engineer Associate certification exam assesses an individual’s ability to use the Databricks Lakehouse Platform to complete introductory data engineering tasks. This includes an understanding of the Lakehouse Platform and its workspace, its architecture, and its capabilities. It also assesses the ability to perform multi-hop architecture ETL tasks using Apache Spark SQL and Python in both batch and incrementally processed paradigms. Finally, the exam assesses the tester’s ability to put basic ETL pipelines and Databricks SQL queries and dashboards into production while maintaining entity permissions. Individuals who pass this certification exam can be expected to complete basic data engineering tasks using Databricks and its associated tools.

Exam Details

Key details about the certification exam are provided below.

Minimally Qualified Candidate

The minimally qualified candidate should be able to:

• 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:

  • Unity Catalog (benefits and features)

  • Entity Permissions (team-based permissions, user-based permissions)

Duration

Testers will have 90 minutes to complete the certification exam.

Questions

There are 45 multiple-choice questions on the certification exam. The questions will be distributed by high-level topic in the following way:

• Databricks Lakehouse Platform – 24% (11/45)

• ELT with Spark SQL and Python – 29% (13/45)

• Incremental Data Processing – 22% (10/45)

• Production Pipelines – 16% (7/45)

• Data Governance – 9% (4/45)

Cost

Each attempt of the certification exam will cost the tester USD 200. Testers might be subjected to tax payments depending on their location. Testers are able to retake the exam as many times as they would like, but they will need to pay USD 200 for each attempt.

Test Aids

There are no test aids available during this exam.

Programming Language

The certification exam will provide data manipulation code in SQL when possible. In all other cases, code will be in Python.

Expiration

Because of the speed at which the responsibilities of a data engineer and capabilities of the Databricks Lakehouse Platform change, this certification is valid for 2 years following the date on which each tester passes the certification exam.

Course Overview

This course contains 4 practice exams. These practice exams are specially designed keeping in mind all the relevant topics which are asked in the actual certification exam for both versions V2 and V3. Each practice exam has 45 multiple-choice questions and has a total time limit of 90 minutes. Each of these questions has one correct answer. You need to correctly answer at least 32 out of 45 questions in order to pass a practice exam. There is a detailed explanation given for each question so that you can easily assess your knowledge and help you to prepare for the real exam.

After taking these practice exams, you will definitely feel confident and will have a clear understanding of what to expect while taking the actual exam. If you pass all these practice exams with at least 85% – 90% then you will gain in-depth knowledge of different Data Engineering concepts using Databricks Lakehouse Platform and it will definitely help you to clear the actual certification exam easily in just one attempt.

There are a few more things to be noted:

1. There is a 90-minute time limit to take the actual exam.

2. In order to pass the actual exam, testers will need to correctly answer at least 32 of the 45 questions.

3. Testers will not have access to any documentation or Databricks environments during the exam.

4. The questions in this course are representative of questions that will be there in the actual exam.

So, if all this information excites you and you want to clear Databricks Certified Data Engineer Associate certification exam to showcase the most in-demand Data Engineering skills using Databricks Lakehouse Platform in the real world then don’t just wait anymore.

Enroll in this course now to prepare well and get certified with this highly acclaimed accreditation.

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