Databricks Certified Data Analyst Associate Practice Exams

Databricks Certified Data Analyst Associate Practice Exams free download

Practice Exams Databricks Certified Data Analyst Associate both for exams. Tests with Explanation + Prep. Guide:2025

"Databricks Certified Data Analyst Associate" is a comprehensive course designed to prepare you for the Databricks Certified Data Analyst Associate Exam. This course covers essential topics related to data analysis, management, SQL querying, data visualization, and machine learning using Databricks and related tools. Whether you're a beginner looking to gain a strong foundation in data analytics or an experienced analyst aiming to enhance your skills, this course provides in-depth knowledge and hands-on practice to succeed in the certification exam.

Course Topics Covered:

1. Databricks SQL: Learn how to efficiently query and manipulate large datasets using Databricks SQL. Understand the integration with Databricks notebooks and clusters, enabling seamless handling of complex operations. Master the creation of interactive dashboards for intuitive data exploration.

2. Data Management: Explore the fundamentals of managing data, focusing on DataFrames and Delta Lake. Understand ACID transactions, schema evolution, time travel, versioning, performance tuning, and data quality assurance techniques.

3. SQL for Data Analysis: Strengthen your SQL skills, covering syntax, functions, operators, subqueries, window functions, common table expressions, and views. Learn how to transform and manipulate data effectively using SQL.

4. Data Visualization and Dashboards: Dive into data visualization tools such as Databricks Visualizations, Matplotlib, Seaborn, Plotly, and Bokeh. Discover how to create engaging and informative dashboards, making complex data trends accessible and understandable.

5. Analytics Applications: Delve into machine learning with MLflow, Spark MLlib, Scikit-learn, TensorFlow, and PyTorch. Explore various algorithms, from basic linear regression to advanced neural networks. Understand how to choose the right algorithm and assess model performance for meaningful data insights.

Exam Details:

• Number of Questions in the Actual Exam: 45

• Duration: 90 minutes

• Passing Score: The passing score for the exam will be specified by Databricks.

• Format: The exam questions are designed to test your knowledge of Databricks SQL, data management, SQL querying, data visualization, and machine learning concepts. Expect a mix of multiple-choice, scenario-based, and practical questions that assess your skills and understanding of the course topics.

• Preparation: The course includes 5 high-quality practice tests with detailed explanations, ensuring thorough preparation for the exam. The provided prep guide offers additional insights and tips to help you succeed.

Upon completing this course and passing the certification exam, you'll have the expertise to analyze and derive valuable insights from data using Databricks and related tools, making you a proficient Databricks Certified Data Analyst Associate.