Key features- Databricks Certified Data Engineer Professional certification

2 Full-Length Mock Exams (120 + Unique Practice Questions)
Elaborate explanations in each answer
Updated course content
Full Coverage of all exam objectives
Databricks Certified Data Engineer Professional course completion Certificate

What are the skills measured in the Databricks Certified Data Engineer Professional certification exam?

The skills that are assessed while appearing for the Databricks Certified Data Engineer Professional certification exam such as:

Developing Code for Data Processing using Python and SQL – 22%
Data Ingestion & Acquisition – 7%
Data Transformation, Cleansing, and Quality – 10%
Data Sharing and Federation – 5%
Monitoring and Alerting – 10%
Cost & Performance Optimisation – 13%
Ensuring Data Security and Compliance – 10%
Data Governance – 7%
Debugging and Deploying – 10%
Data Modelling – 6%

What are the prerequisites for taking Databricks Certified Data Engineer Professional certification exam?

There are no formal prerequisites required for taking Databricks Certified Data Engineer Professional certification exam. However, it is recommended to have certain knowledge on the following concepts:

In depth knowledge on Data Engineering concepts like design and development of production grade data pipelines.

Who should take the Databricks Certified Data Engineer Professional certification exam?

The Databricks Certified Data Engineer Professional certification exam assesses an individual’s ability to perform advanced data engineering tasks with help of Databricks.

Databricks Certified Data Engineer Professional certification exam is mainly preferred by the following individuals:

Data engineers who are looking to take the exam preparation to the next level can take this exam
Data warehouse developers
Learners who want to enhance their skills and knowledge on Databricks Lakehouse Platform

What you'll learn in the Databricks Certified Data Engineer Professional certification?

Taking Databricks Certified Data Engineer Professional certification can helps to learn the following things:

How to model data management solutions on the Databricks Lakehouse
How to build data processing pipelines with usage of Spark and Delta Lake APIs
How to use Databricks platform and its tools
Build production pipelines using security and governance best practices
How to monitor and log production jobs
Following best practices for applying code on Databricks