Databricks Certified Associate Developer for Apache Spark

**The Ultimate Guide to Passing the Databricks Certified Associate Developer for Apache Spark 3.0 Exam**

Are you an aspiring data engineer, developer, or analyst looking to validate your skills and take your career to the next level? Look no further! This comprehensive course is meticulously designed to guide you through every aspect of the Databricks Certified Associate Developer for Apache Spark 3.0 exam preparation.

The Databricks Certified Associate Developer for Apache Spark certification exam assesses the understanding of the Spark DataFrame API and the ability to apply the Spark DataFrame API to complete basic data manipulation tasks within a Spark session. These tasks include selecting, renaming and manipulating columns; filtering, dropping, sorting, and aggregating rows; handling missing data; combining, reading, writing and partitioning DataFrames with schemas; and working with UDFs and Spark SQL functions. In addition, the exam will assess the basics of the Spark architecture like execution/deployment modes, the execution hierarchy, fault tolerance, garbage collection, and broadcasting. Individuals who pass this certification exam can be expected to complete basic Spark DataFrame tasks using Python or Scala.

**Key Features:**

* In-depth coverage of all exam topics, including Spark Core, DataFrames and Datasets, Spark SQL, Streaming, and Machine Learning

* Practice exams to simulate the actual exam environment

**Minimally Qualified Candidate**

The minimally qualified candidate should be able to:

Understanding the basics of the Spark architecture, including Adaptive Query Execution

Apply the Spark DataFrame API to complete individual data manipulation task, including:

selecting, renaming and manipulating columns

filtering, dropping, sorting, and aggregating rows

joining, reading, writing and partitioning DataFrames

working with UDFs and Spark SQL functions

Duration

Testers will have 120 minutes to complete the certification exam.

Questions

There are 60 multiple-choice questions on the certification exam. The questions will be distributed by high-level topic in the following way:

Apache Spark Architecture Concepts. 17% (10/60)

Apache Spark Architecture Applications. 11% (7/60)

Apache Spark DataFrame API Applications. 72% (43/60)

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Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!