Databricks Certified Data Engineer Professional
We create special practice exams to help you meet the requirements of the Databricks Certified Data Engineer Professional certification exam, and you may use them to get a feel for the format of the test.
You can graduate from this course with the abilities and know-how needed to work as a data engineer.
Overview
The purpose of the Databricks Certified Data Engineer Professional certification is to evaluate a person’s ability to use Databricks for complex data engineering activities. With this certification, a candidate’s proficiency with a variety of Databricks tools and developer technologies—including MLflow, Apache Spark, Delta Lake, Databricks CLI, and the Databricks REST API—is verified. Additionally, it assesses the capacity to construct Extract, Transform, Load (ETL) pipelines that are cleaned and optimized and to model data into a Lakehouse using generic data modeling principles.
Who should take the Databricks Certified Data Engineer Professional certification Course?
- Data warehouse developers
- Learners who want to enhance their skills and knowledge on Databricks Lakehouse Platform
- Data engineers
What you’ll learn in the Databricks Certified Data Engineer Professional certification?
- 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
Our Package
Introduction
- Course Materials
- Scenario Walkthrough
Modelling Data Management Solutions
- Bronze Ingestion Patterns
- Multiplex Bronze (Hands On)
- Streaming from Multiplex Bronze (Hands On)
- Quality Enforcement (Hands On)
- Streaming Deduplication (Hands On)
- Slowly Changing Dimensions
- Type 2 SCD (Hands On)
Data Processing
- Change Data Capture
- Processing CDC Feed (Hands On)
- Delta lake CDF
- CDF (Hands On)
- Stream-Stream Joins (Hands On)
- Stream-Static Join (Hands On)
Improving Performance
- Partitioning Delta Lake Tables
- Partitioning (Hands On)
- Delta Lake Transaction Log
- Transaction Log (Hands On)
- Auto Optimize
Databricks Tooling
- Databricks Jobs (Hands On)
- Advanced Jobs Configurations (Hands On)
- Troubleshooting Jobs failures (Hands On)
- REST API (Hands On)
- Databricks CLI (Hands On)
Security and Governance
- Relative Imports (Hands On)
- Data Pipeline Testing
Monitoring and Logging
- Managing Clusters
Certification Overview
- Certification Overview
- Bonus Lecture
Upcoming Batch
April 20th (Weekends)
FRI & SAT (4 Weeks)
08:30 PM to 01:00 AM (CDT)
April 18th (Weekdays)
MON – FRI (18 Days)
10:00 AM to 12:00 PM (CDT)
Databricks Certified Data Engineer Professional FAQs
Q. What are the benefits of getting a Databricks Certification?
Ans.
Databricks Certifications are designed to validate your data and AI skills in the Databricks Lakehouse Platform. Whether you are new to business intelligence or looking to confirm your skills as a data analyst, machine learning professional, or data engineering professional, Databricks can help you achieve your goals.
Q. How many questions are on each exam?
Ans.
Our exams typically have 45–60 questions. This includes non-scored questions to gather statistics for use on future exams. We allow plenty of time for these additional questions and your results will not be impacted by non-scored questions.
Q. How much time does it take to complete an exam?
Ans.
Exams vary in length, ranging from 90 to 120 minutes. We allow additional time to complete the exam, if necessary.
Q. How much does it cost to take Databricks Certification exams?
Ans.
All Databricks Certification exams cost 200 USD. Please note that there are no free retakes for any Databricks Certification exam.
Q. How long is a Databricks Certification valid?
Ans.
A Databricks Certification is valid for two years from the date it is awarded. Once certified, you will be notified in advance when your certification will expire, allowing you time to prepare for a new exam if you choose to recertify.
Q. What happens if I don’t pass the exam the first time?
Ans.
You are welcome to reregister and retake the exam after 14 days. You can retake the exam as many times as you would like, but you have to wait 14 days between each take. Each attempt is charged at the same price as the original exam. Databricks will not issue free retake vouchers for any exam.
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