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The GAQM Databricks-Certified-Data-Engineer-Associate (Databricks Certified Data Engineer Associate) certification exam is a credential that certifies individuals in their ability to design, develop, and manage data pipelines using Databricks. It is a globally recognized certification that validates the skills and knowledge required to work with big data processing and analytics using Databricks.
Reference: https://www.databricks.com/learn/certification/data-engineer-associate
The GAQM Databricks-Certified-Data-Engineer-Associate exam consists of 60 multiple-choice questions that cover a range of topics related to data engineering with Databricks. Databricks-Certified-Data-Engineer-Associate exam is designed to test the candidate's knowledge and skills in areas such as data ingestion, data transformation, data modeling, data integration, and data processing. Candidates who pass the exam will receive a certificate that validates their expertise in data engineering with Databricks and demonstrates their ability to work effectively with the platform. Databricks Certified Data Engineer Associate Exam certification is valuable for professionals working in data engineering roles, as it helps them to showcase their skills and expertise to potential employers and clients.
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The Databricks Databricks-Certified-Data-Engineer-Associate exam is conducted online and consists of 80 multiple-choice questions. The duration of the exam is 2 hours, and candidates must achieve a minimum score of 60% to pass. Databricks-Certified-Data-Engineer-Associate exam fee is $300, and candidates can schedule their exam at any time through the GAQM website. Databricks Certified Data Engineer Associate Exam certification is valid for three years and can be renewed by passing the latest version of the exam.
The GAQM Databricks-Certified-Data-Engineer-Associate certification is an excellent way for professionals to demonstrate their competence and expertise in working with Databricks. Databricks Certified Data Engineer Associate Exam certification validates your knowledge and skills in designing, building, and maintaining data pipelines with Databricks, which is an essential skill for any organization that is looking to leverage big data for business growth.
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Databricks Databricks-Certified-Data-Engineer-Associate Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Databricks Lakehouse Platform Fundamentals | - Clusters, notebooks, and basic Databricks environment usage - Workspace, architecture, and core platform concepts |
| Topic 2: Productionizing Data Pipelines | - Databricks Workflows / Jobs orchestration - Pipeline deployment and operationalization - Scheduling and monitoring jobs |
| Topic 3: Data Governance and Quality | - Unity Catalog basics - Data quality concepts and management - Data access control and governance |
| Topic 4: Data Ingestion and ELT Development | - ETL patterns and transformations - Data ingestion using Spark SQL and PySpark - Handling structured and semi-structured data |
| Topic 5: Data Processing and Transformations | - PySpark DataFrame transformations - Apache Spark SQL operations (joins, aggregations, filtering) - User-defined functions (UDFs) - Delta Lake fundamentals (tables, transactions, optimization) |
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