Tableau Desktop-Certified-Associate日本語 Exam Details & Actual Exam Questions

Exam Code/Number: Desktop-Certified-Associate日本語
Exam Name/Title: Tableau Desktop Certified Associate Exam (Desktop-Certified-Associate日本語版)
Certification Provider: Tableau
Corresponding Certification: Tableau Desktop Certified Associate

Exam Questions: 110
Updated On: Jul,11 2026
Certification Level: Associate

Tableau Desktop Certified Associate Exam (Desktop-Certified-Associate日本語版) Exam Questions

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Tableau Desktop-Certified-Associate日本語 Exam Overview:

Certification Vendor:	Tableau
Exam Name:	Tableau Desktop Certified Associate Exam
Exam Number:	Desktop-Certified-Associate
Real Exam Qty:	36
Available Languages:	English, Japanese
Certificate Validity Period:	2 years
Exam Duration:	120 minutes
Exam Price:	USD 250
Exam Format:	Multiple Choice, Multiple Response, Hands-on Lab Questions
Passing Score:	75%
Related Certifications:	Tableau Desktop Specialist Tableau Certified Data Analyst
Sample Questions:	Tableau Desktop-Certified-Associate日本語 Sample Questions
Exam Way:	Computer-based exam delivered through Pearson VUE testing centers and online proctored testing.
Pre Condition:	No formal prerequisite exam required. Tableau recommended 5 or more months of hands-on experience with Tableau Desktop and completion of Tableau Desktop I and Desktop II training courses.
Official Syllabus URL:	https://www.tableau.com/learn/certification/desktop-certified-associate

Tableau Desktop-Certified-Associate日本語 Exam Syllabus Topics:

Section	Objectives
Dashboards	- Dashboard creation and sharing 1. Publishing and sharing 2. Dashboard actions 3. Interactive filters 4. Story points
Field and Chart Types	- Visualization development 1. Highlight tables and crosstabs 2. Dual-axis and combined charts 3. Maps and geographic visualizations 4. Bar, line, and scatter charts
Mapping	- Geographic analysis 1. Custom geocoding 2. Density maps 3. Geographic roles 4. Map layers
Organizing and Simplifying Data	- Data organization techniques 1. Sets and aliases 2. Groups and hierarchies 3. Sorting and aggregation 4. Data filtering
Data Connections	- Connect to and prepare data sources 1. Use extracts and live connections 2. Manage metadata properties 3. Perform joins and unions 4. Create data connections
Analytics	- Data analysis techniques 1. Reference lines 2. Trend lines 3. Parameters 4. Forecasting
Calculations	- Calculated fields and logic 1. String calculations 2. Table calculations 3. Date calculations 4. Level of Detail expressions