Databricks Certified Associate Data Engineer Practice Exams

Passing an exam is not an easy task and acing it is even more difficult and that is why we, at Certification Champs, offer Practice exams that are right from the top drawer of the top shelf.

UPDATE: Check the Announcement section for the exam-day revision notes PDF

These carefully handcrafted 90 questions distributed in 2 practice tests in accordance with the Databricks exam syllabus give you an integrated feel of the actual exam. Each question is made to test one of the topics of the actual exam and gives you a detailed explanation for every question. These practice exams enable you to clear the certification in your first attempt.

The explanation part of the questions not only gives you an in-depth explanation but also explains the concept behind the question in detail.

Let’s get you started with a sample question from the practice exam.

Question: Which of the following is TRUE about a Job cluster in Databricks?

1. A Job cluster can be created using the UI, CLI or REST API

2. Multiple users can share a Job cluster

3. Job clusters can be restarted as per need

4. The Job cluster terminates when the Job ends

5. Job cluster works only with Python Language notebooks

Correct Option: Option 4 (The Job cluster terminates when the Job ends)

Explanation

Let us look at the options and see which option is correct for a Job cluster.

A Job Cluster can be created using the UI, CLI or REST API

INCORRECT. A job cluster is created by the job scheduler when you run a job. It cannot be created using the UI, CLI or REST API.

Multiple users can share a Job cluster

INCORRECT. A job cluster cannot be shared between users as it is automatically created and terminated.

Job clusters can be restarted as per need

INCORRECT. An all-purpose cluster can be restarted as per need, but a job cluster is for one-time use only.

The Job cluster terminates when the Job ends

CORRECT. As it is a one-time use cluster, it is terminated as the job ends.

Job cluster works only with Python language notebooks

INCORRECT. A job cluster is not confined to Python language notebooks, it can be used for other languages notebooks too.

As you would know, there are two types of clusters in Databricks – a Job clusterand an All-purpose cluster.

Additionally, let’s quickly check which of the above options are valid for an all-purpose cluster.

1. An all-purpose clustercan be created using the UI, CLI or REST API – TRUE

2. Multiple users can share an all-purpose cluster – TRUE

3. All-purpose clusters can be restarted as per need – TRUE

4. An all-purpose cluster terminates when the job ends – FALSE

5. All-purpose clusters work only with Python language notebooks – FALSE

Also note, that the clusters (any type)can be used with any language supported by Databricks notebooks. A cluster is not bound to a language. The same cluster can run Python code and can also be used for executing SQL statements. The clusters are not language-dependent.

CERTIFICATION SYLLABUS

The certification syllabus is distributed in five sections:

1. Databricks Lakehouse Platform – 11 questions i.e. 24%

2. ELT with Spark SQL and Python – 13 questions i.e. 29%

3. Incremental Data Processing – 10 questions i.e. 22%

4. Production Pipelines – 7 questions i.e. 16%

5. Data Governance – 4 questions i.e. 9%

IMPORTANT NOTE

Although the passing percentage is just 70% you should consider getting at least 85% in each practice exam before going for the actual exam.

DISCLAIMER

These questions are designed by our team to give you a feel of the level of questions asked in the actual exam. We are not affiliated to Databricks or Apache.

For more information, you can find us on LinkedIn!

Best of luck for your exam!

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