Databricks Databricks-Certified-Data-Analyst-Associate日本語 Exam Details & Actual Exam Questions

  • Exam Code/Number: Databricks-Certified-Data-Analyst-Associate日本語
  • Exam Name/Title: Databricks Certified Data Analyst Associate Exam (Databricks-Certified-Data-Analyst-Associate日本語版)
  • Certification Provider: Databricks
  • Corresponding Certification: Data Analyst
  • Exam Questions: 118
  • Updated On: Sep,01 2026
  • Certification Level: Associate

Databricks Certified Data Analyst Associate Exam (Databricks-Certified-Data-Analyst-Associate日本語版) Exam Questions

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Databricks Databricks-Certified-Data-Analyst-Associate日本語 Exam Overview:

Certification Vendor:Databricks
Exam Name:Databricks Certified Data Analyst Associate Exam
Exam Number:Databricks-Certified-Data-Analyst-Associate
Exam Format:Multiple Choice
Certificate Validity Period:2 years
Passing Score:70%
Exam Price:$200 USD
Related Certifications:Databricks Certified Data Engineer Associate
Databricks Certified Machine Learning Associate
Available Languages:English
Exam Duration:90 minutes
Real Exam Qty:45
Sample Questions:Databricks Databricks-Certified-Data-Analyst-Associate日本語 Sample Questions
Exam Way:Online proctored or test center proctored
Pre Condition:No formal prerequisites. Databricks recommends 6+ months of hands-on experience with data analysis and Databricks SQL.
Official Syllabus URL:https://www.databricks.com/learn/certification/data-analyst-associate

Databricks Databricks-Certified-Data-Analyst-Associate日本語 Exam Syllabus Topics:

SectionWeightObjectives
Managing Data8%- Data Management
  • 1. Tagging and Lineage
  • 2. Discovering Data Assets
  • 3. Cleaning Data with SQL
  • 4. Handling Missing and Invalid Data
Developing AI/BI Genie Spaces12%- AI and BI Features
  • 1. AI/BI Genie
  • 2. Natural Language Queries
  • 3. Workspace Configuration
Understanding of Databricks Data Intelligence Platform11%- Catalog and Governance
  • 1. Data Lineage
  • 2. Views and Certified Tables
  • 3. Managed and External Tables
  • 4. Catalogs and Schemas
- Platform Components
  • 1. Delta Lake
  • 2. Databricks SQL
  • 3. Unity Catalog
  • 4. Lakeflow Jobs
  • 5. Mosaic AI
Analyzing Queries15%- Query Analysis
  • 1. Performance Tuning
  • 2. Monitoring Query Execution
  • 3. Reading Query Plans
Executing Queries Using Databricks SQL and SQL Warehouses20%- SQL Querying
  • 1. Writing SQL Queries
  • 2. Query Optimization
  • 3. Joins and Subqueries
  • 4. Filtering and Aggregation
  • 5. SQL Warehouses
Securing Data8%- Security and Access Control
  • 1. Data Access Policies
  • 2. Unity Catalog Security
  • 3. Permissions and Roles
Creating Dashboards and Visualizations16%- Visualization
  • 1. Dashboards
  • 2. Sharing and Publishing
  • 3. Charts and Graphs
  • 4. Alerts and Filters
Data Modeling with Databricks SQL5%- Modeling Concepts
  • 1. Views and Relationships
  • 2. Fact and Dimension Tables
  • 3. Data Organization
Importing Data5%- Data Import
  • 1. Loading CSV and JSON Data
  • 2. Uploading Files
  • 3. Creating Tables from Imported Data


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