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Databricks Certified Associate Developer for Apache Spark

Unlocking the Power of Big Data: The Databricks Certified Associate Developer for Apache Spark

Rated : 4.7 9589 views Duration :5 Days Level : Intemediate
Last Updated: 2023-03-16 10:03:42 English Delivery Format: Live Training
Live Training
$780 $1,20035% off
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Jul 17 - Jul 21

09:30 AM to 12:30 PM EST

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It Includes

  • 5 Days training program
  • Live Virtual Training
  • Learn on any PC/Mobile/Tablet
  • Unlimited Doubt Sessions
  • Online Labs (if applicable)
  • Official Courseware & Kits
  • Get Recording after session
  • Get Certificate of Completion
  • Mock Tests & Exam Preps
  • Classroom Training (Optional)

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Course Overview


There are currently two versions of this exam - Databricks Certified Associate Developer for Apache Spark 3.0 and Databricks Certified Associate Developer for Apache Spark 2.4. Each will assess the candidate’s understanding of the basics of Spark architecture and the ability to apply the Spark DataFrame API of the given version. The exam is available in two programming languages: Python and Scala. So a working knowledge of one of those languages is necessary.
The candidate will be tested on their ability to apply the Spark DataFrame API to complete basic data manipulation tasks such as 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.
To pass, candidates must score 70% or better on a 60-question multiple choice exam. Exams are two hours in length and are proctored online through Kryterion, requiring the candidate to have a webcam.
To best prepare for the exam, candidates should attend Apache Spark Programming (DB105) and Sections I, II, and IV of Spark: The Definitive Guide should also be helpful in preparation.

Who Should Attend?

Before attending this accelerated course, you should have basic:

  • Programming experience with Python or Scala (syntax, conditions, loops, functions)
  • Knowledge of SQL concepts (select, filter, groupby, join, etc)


    To register for this Databricks Spark certification training, you should have a basic understanding of SQL and Scala.

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Frequently Asked Questions

  • What is the Databricks Certified Associate Developer for Apache Spark certification?

    The Databricks Certified Associate Developer for Apache Spark is a professional certification that validates an individual's proficiency in developing Spark applications using Databricks. It is a globally recognized certification for developers who build data-driven applications using Apache Spark, a powerful open-source big data processing framework.
  • What are the benefits of obtaining a Databricks Certified Associate Developer for Apache Spark certification?

    The benefits of obtaining a Databricks Certified Associate Developer for Apache Spark certification include gaining recognition as a skilled developer in Spark and Databricks, demonstrating your expertise in developing data-driven applications, increasing your marketability to potential employers, and advancing your career in big data analytics.
  • What is the exam format for the Databricks Certified Associate Developer for Apache Spark certification?

    The exam for the Databricks Certified Associate Developer for Apache Spark certification is a performance-based exam that tests your ability to develop Spark applications using Databricks. You will be given a set of requirements and a Databricks environment to work in, and you will need to develop a solution to meet the requirements within a given time frame.
  • How can I prepare for the Databricks Certified Associate Developer for Apache Spark certification exam?

    To prepare for the Databricks Certified Associate Developer for Apache Spark certification exam, you can take Databricks-approved training courses, review study materials provided by Databricks, join study groups or discussion forums, and participate in practice exams. Additionally, it is recommended that you have hands-on experience in developing Spark applications using Databricks before attempting to earn the certification.
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