Key features - Databricks Certified Data Analyst Associate Exam

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What skills will I gain from Databricks Certified Data Analyst Associate Exam?

By taking Databricks Certified Data Analyst Associate Exam, the individual can be able to possess the following skills and knowledge:

Understanding of Databricks Data Intelligence Platform - 11%
Managing Data - 8%
Importing Data - 5%
Executing queries using Databricks SQL and Databricks SQL Warehouses - 20%
Analyzing Queries - 15%
Creating Dashboards and Visualizations in Databricks - 16%
Developing, Sharing, and Maintaining AI/BI Genie spaces - 12%
Data Modeling with Databricks SQL - 5%
Securing Data - 8%

What are the prerequisites for Databricks Certified Data Analyst Associate Exam?

The prerequisites required for taking Databricks Certified Data Analyst Associate Exam such as:

The candidate must have working knowledge of SQL
Must be familiar with ANSI SQL standards
Must have working experience as a data or IT professional
Must have experience using SQL to query data from enterprise data stores
Familiarity with basic cloud concepts such as virtual machines, object storage, identity management
Completion of the Databricks Lakehouse Fundamentals Accreditation is recommended

Who should attempt the Databricks Certified Data Analyst Associate Exam?

The Databricks Certified Data Analyst Associate Exam mainly focuses on the people who wants to enhance their skills and knowledge in data analysis tasks. And it also targets the following roles such as:

Data Analysts
Data Engineers
Business Analyst
ML Data scientists
Data Engineers

What you'll learn in the Databricks Certified Data Analyst Associate Exam?

The Databricks Certified Data Analyst Associate Exam makes sure you understand with the following topics:

Databricks SQL service and its capabilities
Management of data with Databricks tools bu following best practices
Usage of SQL to complete data tasks in the Lakehouse
Creation of production-grade data visualizations and dashboards
Development of analytics applications to solve common data analytics problems