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Databricks Data Engineer Associate Certification Training Course
Virtual Classroom
Training
Training
Practice Questions
on LMS
on LMS
Guaranteed to
Run Batches
Run Batches
Experienced
Instructors
Instructors
Exam
Simulation
Simulation
Post-Training
Support
Support
Virtual Classroom
Training
Training
Practice Questions
on LMS
on LMS
Guaranteed to
Run Batches
Run Batches
Experienced
Instructors
Instructors
Exam
Simulation
Simulation
Post-Training
Support
Support
Databricks Data Engineer Associate
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✓
Training Material
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✓
LMS Access
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✓
Hands-On Project Based Learning
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✓
Instructor-Led Virtual Classroom Training
Target Audience
Pre-Requisites
Exam Information
FAQ
✓ Data engineers, ETL engineers, BI / analytics engineers
✓ Data analysts wanting to level up to engineering tasks
✓ Big data / data platform professionals working with Databricks
✓ Professionals preparing for Databricks Associate-level certification
✓ No formal prerequisites
✓ Basic understanding of software development, quality assurance, SDLC concepts is helpful
✓ Good reading comprehension and logical thinking
✓ Exam Name: Databricks Data Engineer Associate
✓ Number of Questions: 45
✓ Duration: 90 minutes
✓ Format: multiple choice questions
✓ Passing / Cut-off: ~32/45 (≈ 71%)
✓ Languages: English (others TBD)
✓ Validity: 2 years
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Frequently Asked Questions
🔹What does this certification validate?
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It validates your ability to build data pipelines, manage data workflows, and optimize performance on the Databricks Lakehouse Platform
🔹Is prior Databricks or Spark knowledge required?
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Yes, basic understanding of Apache Spark, SQL, and ETL concepts is recommended.
🔹 What is the Databricks Data Engineer Associate certification?
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It’s a credential that validates your ability to build, manage, and optimize data pipelines on the Databricks Lakehouse Platform using Apache Spark, SQL, and Delta Lake.
🔹What is the exam format & duration?
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Multiple-choice/multiple-select questions — 90 minutes.
🔹What skills are tested in the exam?
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Delta Lake, ETL design, data ingestion, data transformation, SQL, and performance tuning.
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