The Databricks Databricks-Certified-Data-Engineer-Associate-JPN exam is a 90-minute online exam that consists of 60 multiple-choice questions. Databricks-Certified-Data-Engineer-Associate-JPN exam covers various topics such as data ingestion, data transformation, data modeling, data warehousing, and data analysis. Databricks-Certified-Data-Engineer-Associate-JPN exam is designed to validate the candidate's ability to work with Databricks in a production environment.
The Databricks Certified Data Engineer Associate Exam (Databricks-Certified-Data-Engineer-Associate日本語版) certification exam consists of 60 multiple-choice questions that need to be answered within 90 minutes. Databricks-Certified-Data-Engineer-Associate-JPN exam is available in English and is delivered online through the GAQM testing platform. Databricks Certified Data Engineer Associate Exam (Databricks-Certified-Data-Engineer-Associate日本語版) certification exam is open to all individuals who are interested in data engineering and Databricks, regardless of their educational background.
Reference: https://www.databricks.com/learn/certification/data-engineer-associate
Databricks Databricks-Certified-Data-Engineer-Associate日本語 Exam Overview:
| Certification Vendor: | Databricks |
| Exam Name: | Databricks Certified Data Engineer Associate Exam |
| Exam Number: | Databricks-Certified-Data-Engineer-Associate |
| Exam Format: | Multiple Choice, Multiple Select |
| Exam Price: | $200 USD |
| Passing Score: | 70% |
| Related Certifications: | Databricks Certified Data Analyst Associate |
| Available Languages: | English |
| Real Exam Qty: | 60 |
| Certificate Validity Period: | 2 years |
| Exam Duration: | 90 minutes |
| Sample Questions: | Databricks Databricks-Certified-Data-Engineer-Associate日本語 Sample Questions |
| Exam Way: | Online proctored or in-person testing center |
| Pre Condition: | Recommended: 6+ months of experience with Databricks and Apache Spark |
| Official Syllabus URL: | https://www.databricks.com/learn/certification/data-engineer-associate |
Databricks Databricks-Certified-Data-Engineer-Associate日本語 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Python for Data Engineering | 10-15% | - Work with Spark APIs in Python - Use PySpark for data processing - Implement user-defined functions (UDFs) |
| Topic 2: Delta Lake Fundamentals | 20-25% | - Write to and read from Delta tables - Understand ACID transactions and time travel - Explain Delta Lake features and benefits - Create and manage Delta tables |
| Topic 3: Lakehouse Platform Concepts | 10-15% | - Understand the Lakehouse architecture and its benefits - Explain data governance and security concepts - Describe key Databricks Lakehouse platform components |
| Topic 4: Data Pipeline Architecture | 15-20% | - Understand ELT vs ETL patterns - Design data pipelines for batch and streaming - Implement incremental data processing - Monitor and optimize pipeline performance |
| Topic 5: Spark SQL and DataFrames | 15-20% | - Handle null values and data quality - Aggregate and group data - Write and execute Spark SQL queries - Join and union DataFrames |
| Topic 6: Apache Spark Data Processing Fundamentals | 20-25% | - Create and use Spark DataFrames - Apply transformations and actions on DataFrames - Use Spark SQL for data processing - Work with structured data types (arrays, maps, structs) |
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