Use this quick start guide to collect all the information about Databricks Developer for Apache Spark - Python Certification exam. This study guide provides a list of objectives and resources that will help you prepare for items on the Databricks Certified Associate Developer for Apache Spark - Python exam. The Sample Questions will help you identify the type and difficulty level of the questions and the Practice Exams will make you familiar with the format and environment of an exam. You should refer this guide carefully before attempting your actual Databricks Certified Associate Developer for Apache Spark certification exam.
The Databricks Developer for Apache Spark - Python certification is mainly targeted to those candidates who want to build their career in Specialty domain. The Databricks Certified Associate Developer for Apache Spark exam verifies that the candidate possesses the fundamental knowledge and proven skills in the area of Databricks Apache Spark Developer Associate.
Databricks Developer for Apache Spark - Python Exam Summary:
| Exam Name | Databricks Certified Associate Developer for Apache Spark |
| Exam Code | Developer for Apache Spark - Python |
| Exam Price | $200 (USD) |
| Duration | 120 mins |
| Number of Questions | 60 |
| Passing Score | 70% |
| Schedule Exam | Kryterion Webassesor |
| Sample Questions | Databricks Developer for Apache Spark - Python Sample Questions |
| Practice Exam | Databricks Developer for Apache Spark - Python Certification Practice Exam |
Databricks Apache Spark Developer Associate Exam Syllabus Topics:
| Topic | Weights |
|---|---|
| Apache Spark Architecture Concepts | 17% |
| Apache Spark Architecture Applications | 11% |
| Apache Spark DataFrame API Applications | 72% |
To ensure success in Databricks Apache Spark Developer Associate certification exam, we recommend authorized training course, practice test and hands-on experience to prepare for Databricks Certified Associate Developer for Apache Spark - Python exam.