# Salesforce Tableau Data Analyst Practice Exam

*Last updated September 2026 · https://www.certifyforce.com/tableau-data-analyst-practice-exam*

The Salesforce Tableau Data Analyst certification, formerly Tableau Certified Data Analyst, is an intermediate Salesforce credential with no prerequisite. It is focused on analyzing data with Tableau: connecting to and transforming data, calculated fields, table calculations and LOD expressions, filters, parameters, sets, groups, hierarchies and maps, the Analytics pane, building dashboards and stories, and publishing and managing content on Tableau Server and Tableau Cloud. The exam has 60 scored questions plus 5 unscored questions, a 105-minute time limit, and a 65% passing score. Its official outline covers 4 weighted sections, the largest being Explore and Analyze Data at 41% of the exam.

The Tableau Data Analyst exam tests how you prepare and analyze data in Tableau: connecting to and transforming data, calculated fields, table calculations and LOD expressions, filters, parameters, sets, groups and maps, the Analytics pane, dashboards and stories, and publishing to Tableau Server and Tableau Cloud. Explore and Analyze Data is the biggest section at 41%.

## How long is the Tableau Data Analyst exam and what score do you need?

| Fact | Value |
| --- | --- |
| Certification | Salesforce Tableau Data Analyst |
| Formerly | Tableau Certified Data Analyst |
| Level | Intermediate |
| Prerequisite | None |
| Scored questions | 60 |
| Unscored questions | 5 |
| Time limit | 105 minutes |
| Passing score | 65% |
| Registration cost | USD $200 |
| Retake cost | USD $100 |
| Exam outline sections | 4 |

Facts last verified against the [official Salesforce exam guide](https://help.salesforce.com/s/articleView?id=005298984&language=en_US&type=1) in July 2026.

## What is on the Salesforce Tableau Data Analyst exam?

The official outline has 4 weighted sections. Mock exams draw questions in these proportions, so practice mirrors the real exam.

| Exam section | Weight |
| --- | --- |
| Connect To and Transform Data | 24% |
| Explore and Analyze Data | 41% |
| Create Content | 26% |
| Publish and Manage Content on Tableau Server and Tableau Cloud | 9% |

### Connect To and Transform Data (24%)

- Connect to data sources: Identify data source; Determine live connection vs. extract; Connect to extracts; Connect to files; Connect to relational databases; Connect to published data sources from a Tableau Server or Tableau Cloud site; Replace the connected data source with another data source for an existing chart or sheet.
- Prepare data for analysis: Assess data quality (completeness, consistency, accuracy); Perform cleaning operations; Organize data fields into folders; Use multiple data sources (establish relationships, create joins, union tables); Prepare data by using Data Interpreter, pivot, and split; Create extract and data source filters.
- Perform data transformation in Tableau Prep: Choose which data transformation to perform based on a business scenario; Combine data by using unions; Combine data by using joins; Shape data by using aggregations; Perform filtering; Shape data by using pivots; Determine which output type to use.
- Customize fields: Change default field properties (types, sorting, etc.); Rename columns; Choose when to convert between discrete and continuous; Choose when to convert between dimension and measure; Create aliases.

### Explore and Analyze Data (41%)

- Create calculated fields: Write date calculations; Write string functions; Write logical and Boolean expressions; Write number functions; Write type conversion functions; Write aggregate functions; Write basic spatial calculations.
- Create table calculations: Moving average and window average; Percent of total; Running total; Difference and percent of difference; Percentile; Index; Ranking; Apply quick table calculations; Customize table calculations.
- Create and use filters: Apply filters to dimensions and measures; Configure filter settings including Top N, Bottom N, include, exclude, wildcard, and conditional; Add filters to context; Apply filters to multiple sheets and data sources.
- Create parameters to enable interactivity: In calculations; With filters; With reference lines; Set parameters to dynamically refresh.
- Structure the data: Sets; Bins; Hierarchies; Groups.
- Map data geographically: Create symbol maps; Create density maps; Create choropleth maps (filled maps); Create mark layers.
- Summarize, model, and customize data by using the Analytics pane: Totals and subtotals; Reference lines; Reference bands; Average lines; Trend lines; Distribution bands; Forecast by using default settings; Customize a data forecasting model.
- Create Level of Detail calculations: Write FIXED LOD calculations; Write INCLUDE LOD calculations; Write EXCLUDE LOD calculations; Write nested LOD calculations.

### Create Content (26%)

- Create charts: Create basic charts from scratch (bar, line, pie, highlight table, scatter plot, histogram, tree map, bubbles, data tables, Gantt, box plots, area, dual axis, combo); Sort data (including custom sort).
- Create dashboards and stories: Combine sheets into a dashboard by using containers and layout options; Add objects (containers, images, text); Create stories using story points.
- Add interactivity to dashboards: Use filter in a dashboard; Add filter, URL, and highlight actions; Create interactivity using dynamic zone visibility; Add navigation buttons; Create interactivity using set and parameter actions; Create show/hide buttons for dashboard objects.
- Format workbooks, worksheets, and dashboards: Apply color, font, shapes, styling; Add custom shapes and color palettes; Add annotations; Customize tooltips; Apply padding; Format gridlines, row-level and column-level bands, and shading; Create a responsive design for specific device layouts.

### Publish and Manage Content on Tableau Server and Tableau Cloud (9%)

- Publish Content: Publish a workbook; Publish a data source from Desktop or Prep; Export content; Publish a flow.
- Schedule data updates: Schedule data extract refreshes.
- Manage published workbooks: Create alerts; Create subscriptions; Create and save custom views; Understand user roles and permissions; Customize and distribute a published workbook.

## How many reviewed Tableau Data Analyst practice questions are there?

300 reviewed questions. Every question follows the current official Tableau Data Analyst exam outline and is checked against Salesforce documentation before it is published. A full practice exam has 60 questions and a 105-minute time limit, with the same mix of sections as the real exam. You can also practice one section at a time.

| Exam section | Weight | Reviewed questions |
| --- | --- | --- |
| Connect To and Transform Data | 24% | 72 |
| Explore and Analyze Data | 41% | 123 |
| Create Content | 26% | 78 |
| Publish and Manage Content on Tableau Server and Tableau Cloud | 9% | 27 |
| Total | 100% | 300 |

## Common questions about the Tableau Data Analyst exam

### How many questions are on the Salesforce Tableau Data Analyst exam?

The Tableau Data Analyst exam has 60 scored questions plus 5 unscored questions, with a time limit of 105 minutes.

### What is the passing score for the Tableau Data Analyst exam?

The passing score is 65%. Certifyforce's readiness score weights your practice results by the official section weights so you know whether you'd clear that bar.

### How much does the Tableau Data Analyst exam cost?

Registration is USD $200 plus applicable taxes, and retakes cost USD $100. Quality practice is the cheapest way to avoid paying for a retake.

### Is there a prerequisite for the Tableau Data Analyst exam?

No. The Tableau Data Analyst exam has no certification prerequisite. Salesforce positions it as a intermediate credential.

### How many practice questions are in the Tableau Data Analyst question bank?

300 reviewed questions across all 4 sections of the current official exam outline. Every question is checked against Salesforce documentation before it is published. A timed practice exam draws 60 questions and gives you 105 minutes, with the same mix of topics as the real exam.

### Are these real exam questions or braindumps?

No. Certifyforce writes original practice questions aligned to the official exam outline. Using leaked exam questions (dumps) violates the Salesforce certification agreement and can get your credentials revoked — original scenario practice builds the same skills without the risk.

### What topics are on the Tableau Data Analyst exam?

The exam covers 4 sections: Connect To and Transform Data (24%), Explore and Analyze Data (41%), Create Content (26%), Publish and Manage Content on Tableau Server and Tableau Cloud (9%).

### How is Certifyforce different from other practice exams?

The Tableau Data Analyst questions follow the current official exam outline. Every question is reviewed by a person and checked against Salesforce documentation. You can see your score by section and practice the topics you missed without taking the full exam again.

## Related pages

- [Free Salesforce Tableau Data Analyst practice questions with answers](https://www.certifyforce.com/tableau-data-analyst-practice-exam/free-questions)
- [Salesforce Data Analyst certification path](https://www.certifyforce.com/salesforce-certifications/data-analyst)
- [Salesforce Tableau Desktop Foundations practice exam](https://www.certifyforce.com/tableau-desktop-foundations-practice-exam)
- [All Salesforce certifications](https://www.certifyforce.com/salesforce-certifications)
- [Official Tableau Data Analyst exam guide](https://help.salesforce.com/s/articleView?id=005298984&language=en_US&type=1)