My Strategy to pass Databricks Data Engineer Associate Certification

My Strategy to pass Databricks Data Engineer Associate Certification

I'm currently preparing for the Databricks Certified Data Engineer Associate exam, which I'll be taking next week. This certification assesses your ability to perform foundational data engineering tasks using the Databricks Lakehouse Platform, including understanding its architecture and functionalities, as well as executing ETL operations using Apache Spark? SQL and Python in both batch and incremental processing paradigms.

Exam Details:

  • Format: Proctored online or on-site, multiple-choice
  • Number of Questions: 45
  • Duration: 90 minutes
  • Registration Fee: $200 (Get 50% discount with events below)
  • Languages Offered: English, 日本語, Português BR, ???
  • Prerequisites: None, though related training is highly recommended
  • Recommended Experience: 6+ months of hands-on experience with data engineering tasks on the Databricks platform
  • Validity Period: 2 years


The exam covers:

  1. Databricks Lakehouse Platform – 24%
  2. ELT With Spark SQL and Python – 29%
  3. Incremental Data Processing – 22%
  4. Production Pipelines – 16%
  5. Data Governance – 9%


Preparation Resources:

  1. Official Exam Guide: Review the comprehensive exam guide to understand the topics covered and the exam structure.
  2. Partner Free Databricks Courses: Utilize Partner companies free courses offered for by Databricks to strengthen your understanding of the platform.
  3. ExamTopics Practice Questions: Access a comprehensive set of practice questions that mimic the style and difficulty of the actual exam.
  4. ExamPrepper Practice Questions: Explore additional practice questions to further enhance your preparation, like a practice exam.
  5. Free Guided Exam Video: Watch this guided session for tips and strategies to excel in the exam.
  6. Free Databricks End-to-End Tutorial: This tutorial provides a comprehensive overview of Databricks, which is invaluable for practical understanding.


Additional Tips:

  • Hands-On Practice: Engage in practical exercises to apply your knowledge. The Databricks platform offers a collaborative environment for data engineering tasks.
  • Community Engagement: Join forums and discussion groups to share experiences and gain insights from others who have taken the exam.
  • Time Management: Develop a study schedule that allows you to cover all exam topics thoroughly.


Discount Opportunities:

  • Promotional Discounts: Databricks occasionally offers promotions, such as 50% off certification vouchers for attending webinars or events. For instance, during the Databricks Learning Festival, participants could receive a 50% discount on certifications. Keep an eye on Databricks' official channels and community forums for such opportunities. See the link: Databricks Community
  • Employer Sponsorship: Check with your employer to see if they offer support for professional development. Many companies are willing to cover certification costs, especially if the skills align with your job responsibilities.

By leveraging these resources and dedicating time to study, you'll be well-equipped to earn the certification and advance your career as a data engineer on the Databricks platform.

#Databricks #DataEngineering #CertificationPrep #BigData #ApacheSpark #ProfessionalDevelopment

Gabriel Domann Dias

Business Data Analyst | Control and Automation Engineer | Microsoft Azure | Databricks | SQL | Pandas | Power BI | C/C++

2 个月

Thanks Frank!

Gleydson Campos

Data Analytics - PostgreSQL Power BI - Data Analytics in Python

2 个月

great strategy

Victor Didier

Aspiring Data Analyst

2 个月

It's gotta be worth it! Cheers Frank!

Vitor Raposo

Data Engineer | Azure/AWS | Python & SQL Specialist | ETL & Data Pipeline Expert

2 个月

Impressive!

Rafael Rampineli

Senior MS SQL Server DBA | Data Engineer | Azure & AWS Cloud Expert | Performance Tuning & HADR Specialist | Databricks - Azure - AWS Certified

2 个月

Great service

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