Exam Code: | Databricks-Certified-Data-Analyst-Associate | ||
Exam Name: | Databricks Certified Data Analyst Associate Exam | ||
Certification(s): | Databricks Certified Data Analyst | ||
Total Questions: | 45 Questions Answers | ||
Latest Updated: | Nov 14,2024 | ||
Price: (Discounted) | Was: $85 Now: $59 |
Databricks Certified Data Analyst Associate Exam Topics
Here's a breakdown of the main topics covered in the Databricks Certified Data Analyst Associate exam, along with a brief description of each topic and an estimated percentage weight for the exam.
Topic | Description | Estimated Percentage |
---|---|---|
Data Exploration & Visualization | Understanding data types, structures, and distributions. Utilizing SQL and Python libraries (like Pandas) for data exploration and visualization. | 20-25% |
Data Transformation & Manipulation | Working with complex data, cleaning and transforming it, and performing data aggregation and joining operations. Familiarity with SQL and Python libraries (like Spark SQL) is crucial. | 25-30% |
Data Ingestion & Storage | Understanding data sources (e.g., files, databases), data ingestion mechanisms (e.g., Delta Lake, Parquet), and data storage concepts in Databricks. | 15-20% |
Data Pipelines & Workflows | Designing and implementing data pipelines using Databricks tools. This includes understanding concepts like jobs, scheduling, and monitoring. | 15-20% |
Machine Learning Fundamentals | Basic understanding of machine learning concepts, including supervised and unsupervised learning, model evaluation, and data preparation for machine learning. | 10-15% |
Databricks Platform & Tools | Knowledge of Databricks workspace organization, notebooks, clusters, and key features like Databricks SQL, Delta Lake, and MLflow. | 5-10% |
**Please note:** These percentages are estimations based on exam content and feedback from certified professionals. The actual weight of each topic may vary across exam versions. Refer to the official Databricks documentation for the most up-to-date information.
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