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Databricks Certified Data Analyst Associate — Requirements & Free Practice

US · License preparation

200 free questions · Answer explanations · No signup required

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Databricks Certified Data Analyst Associate

Personal Databricks professional certification in introductory data analysis using the Databricks platform; initial award requires passing the applicable certification exam.

Licensing authority: Databricks, Inc. · Application information

Initial by examination
Databricks Certified Data Analyst Associate
Scope
Initial certification; related training is recommended, not required.

Databricks Certified Data Analyst Associate

Format
Proctored multiple-choice examination, online or at a test center
Exam questions
Scored questions: 45.
Time limit
90 minutes
Exam fee
USD 200
Examination outline
  • Understanding of Databricks Data Intelligence Platform (11%)
    • Core platform components
    • Catalog Explorer objects, access and lineage
    • Databricks Marketplace
  • Managing Data (8%)
    • Discover, query and manage certified datasets
    • Tag data assets and view lineage
    • Clean Unity Catalog tables in SQL
  • Importing Data (5%)
    • Data ingestion and sharing approaches
    • Upload a file through the Workspace UI
  • Executing queries using Databricks SQL and Databricks SQL Warehouses (20%)
    • Databricks Assistant for queries
    • SQL Warehouse role
    • Cross-system federated joins
    • Materialized and streaming views
    • Aggregate and summary operations
    • Joins and set operations
    • Sorting and filtering
    • Managed and external tables
    • Delta Lake time travel
  • Analyzing Queries (15%)
    • Photon features and workloads
    • Identify poorly performing queries
    • Audit and view Delta Lake history
    • Query history and caching
    • Liquid Clustering
    • Fix queries to achieve results
  • Working with Dashboards and Visualizations in Databricks (16%)
    • Build AI/BI dashboards
    • Notebook and SQL editor visualizations
    • SQL and dashboard parameters
    • Dashboard permissions and sharing
    • Automatic dashboard refresh
    • Alerts
    • Effective visualization types
  • Developing, Sharing, and Maintaining AI/BI Genie spaces (12%)
    • Genie space purpose and components
    • Create and curate Genie spaces
    • Genie permissions and distribution
    • Optimize Genie spaces
  • Data Modeling with Databricks SQL (5%)
    • Industry-standard analytical data models
    • Data models and Medallion Architecture
  • Securing Data (8%)
    • Unity Catalog roles and sharing
    • Unity Catalog three-level namespace
    • Secure storage and PII protection
Examination sources