Prepare to pass the Databricks Certified DE Associate exam with confidence using this comprehensive course. This Databricks Data Engineer Associate Mock Tests course is designed to simulate the structure, content, and difficulty of the real Databricks DE Associate certification exam and is your most effective resource for building readiness through repeated practice.
This course includes 6 full-length mock exams totaling 270 exam-style questions, each carefully aligned with the official Databricks exam blueprint. The questions include a realistic mix of conceptual, technical, and scenario-based items that reflect the challenges faced by data engineers working on the Databricks Lakehouse Platform.
This course not only helps you pass the exam—it prepares you to solve real problems with scalable, cloud-native tools built for the future of data.
Gururo is a PMI Authorized Training Partner
At-a-glance
Best for
- Aspiring Data Engineers/ ETL Developers
- Data Analysts and BI Developers
- Cloud Engineers and Architects
- Anyone Serious
Why Gururo?
- Lowest Cost
- PMI Authorized Training Partner (ATP)
- 24*7 Support
- 365 days access
Course Details
- 6 full-length Databricks DE mock exams
- 270+ challenging questions
- Instant Access
- Certificate of Completion
Highlights
- Realistic Exam Simulation
- Aligned with actual exam blueprint
- Progress Tracking & Review option
- Unlimited Attempts
What You’ll Learn
- Assess your readiness for the Databricks Certified Data Engineer Associate exam through full-length, timed practice tests.
- Master key concepts in the Databricks Lakehouse Platform including data ingestion, transformation, and orchestration.
- Apply Apache Spark DataFrame and SQL operations to solve practical data engineering problems.
- Demonstrate expertise in Delta Lake fundamentals such as writing, updating, optimizing, and managing tables.
- Understand and implement data ingestion workflows using Databricks Auto Loader and Structured Streaming.
- Orchestrate and manage jobs using the Databricks Workflows UI and REST APIs.
- Apply performance tuning, optimization techniques, and best practices in data pipeline development.
- Strengthen your knowledge of data lineage, version control, and governance using Unity Catalog and Delta Lake.
- Build confidence to pass the certification exam by simulating real test conditions and question complexity.
What you'll gain:
- Certification-level knowledge of Delta Lake, Apache Spark, and Databricks.
- Mastery of key concepts tested in the Data Engineer Associate exam.
- Test-taking confidence through repeated, performance-tracked practice.
- Career advantage as a certified data engineer in the rapidly growing lakehouse ecosystem.
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Course Requirements / Prerequisites
- Basic understanding of data engineering workflows and modern data stack concepts.
- Proficiency in SQL, particularly for querying large-scale datasets.
- Familiarity with Apache Spark fundamentals and DataFrame APIs.
- Exposure to Databricks notebook environment and Delta Lake architecture.
- Knowledge of Auto Loader and data ingestion strategies within Databricks.
- Experience with Python or PySpark for data transformation tasks.
- Understanding of job orchestration and basic workflow design in data platforms.
- Awareness of versioning, schema enforcement, and data lineage practices.
- Motivation to pass the Databricks Associate-level certification and pursue a career in data engineering.
- Access to a Databricks workspace or sandbox for hands-on practice (optional but helpful).
Who Should Take This Course?
- Aspiring Data Engineers aiming to become Databricks Certified and launch a cloud data engineering career.
- ETL Developers transitioning to modern platforms and seeking Databricks certification.
- Data Analysts and BI Developers expanding their capabilities to include Spark and Delta Lake technologies.
- Cloud Engineers and Architects working on data lakehouse architecture and analytics pipelines.
- Software Developers with data responsibilities looking to formalize and validate their skills.
- Students and Recent Graduates from data science and engineering programs pursuing certification credentials.
- Databricks Users seeking exam-focused practice to reinforce practical and conceptual understanding.
- Professionals Preparing for Advanced Databricks Certifications who want to solidify core concepts first.
- Technical Consultants and Contractors supporting enterprise cloud data migrations and deployments.
- Anyone Interested in Cloud Data Platforms who needs structured preparation aligned with Databricks certification standards.
