Databricks offers a highly secure and reliable production environment in the cloud when supported by Spark experts offering cloud managed services. Powerful cluster management capabilities allow you to create new clusters in seconds, dynamically scale them up and down, and share them across teams.

These carefully handcrafted questions distributed in 2 practice tests in accordance with the Databricks exam syllabus gives you an integrated feel of the actual exam. It has detailed explanation for every question. These practice exams enable you to clear the certification in your first attempt.

The 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.

Who this course is for:

• Data engineers looking to finish Databricks Certified Data Engineer Associate Exam

• Preparing for Databricks Certified Data Engineer Associate Exam

• Practice Databricks Certified Data Engineer Associate Exam

• People looking to pass the Databricks Certified Data Engineer Associate Exam