Welcome to your one-stop solution for all the information you need to excel in the Tableau Certified Consultant (TCC-C01) Certification exam. This page provides an in-depth overview of the Tableau TCC-C01 Exam Summary, Syllabus Topics, and Sample Questions, designed to lay the foundation for your exam preparation. We aim to help you achieve your Tableau Certified Consultant certification goals seamlessly. Our detailed syllabus outlines each topic covered in the exam, ensuring you focus on the areas that matter most. With our sample questions and practice exams, you can gauge your readiness and boost your confidence to take on the Tableau Consultant exam.
Why Tableau Consultant Certification Matters
The Tableau TCC-C01 exam is globally recognized for validating your knowledge and skills. With the Tableau Certified Consultant credential, you stand out in a competitive job market and demonstrate your expertise to make significant contributions within your organization. The Tableau Certified Consultant Certification exam will test your proficiency in the various syllabus topics.
Tableau TCC-C01 Exam Summary:
| Exam Name | Tableau Certified Consultant |
| Exam Code | TCC-C01 |
| Exam Duration | 120 minutes |
| Exam Questions | 40-45 |
| Passing Score | 750/1000 |
| Exam Price | $250 (USD) |
| Books / Training |
Analyst Learning Path Designer Learning Path |
| Exam Registration | Pearson VUE |
| Sample Questions | Tableau Consultant Certification Sample Question |
| Practice Exam | Tableau Consultant Certification Practice Exam |
Tableau TCC-C01 Exam Syllabus Topics:
| Objective | Details |
|---|---|
Evaluate Current State - 28% |
|
| Map current state of analytics to future state |
- Evaluate existing reports, including volume, gap analysis, performance, and data accuracy - Map existing reports, data products, and business needs to Tableau capabilities - Translate analytical requirements into Tableau context by using best practices - Recommend whether to use Tableau Server or Tableau Cloud, including migration |
| Evaluate current data structures |
- Evaluate whether existing data supports business needs - Evaluate lineage of existing data structures - Evaluate existing data structures for performance risks - Evaluate existing data structures for performance enhancement opportunities |
Plan and Prepare Data Connections - 19% |
|
| Plan for data transformation |
- Recommend an appropriate data storage method, data structure, and strategy - Recommend an appropriate tool to transform data, including Tableau Desktop, Tableau Prep, or an ETL product - Identify impact of static and responsive calculations in Tableau Prep and Tableau workbooks - Specify the requirements for minimum level of granularity |
| Design a row-level security (RLS) data structure |
- Implement RLS and an entitlement table - Identify group functions versus user functions - Implement hierarchies to support RLS - Compare RLS approaches |
| Plan and implement advanced connections to data |
- Recommend an appropriate method to connect to data, such as Web Data Connectors, web extract APIs, custom SQL, or ODBC - Create connections by using Tableau Bridge - Recommend how to prepare data to meet specific requirements, including shaping and combining - Specify aggregation level and strategy for data sources in Tableau products (Tableau Desktop, Tableau Prep, Tableau Cloud, Tableau Server) - Identify the minimum fields required for analysis - Troubleshoot complex data issues and connections |
Design and Troubleshoot Calculations and Workbooks - 39% |
|
| Design analytics for advanced use cases |
- Recommend when to use an advanced chart type, such as Sankey, chord, radar, tile map, small multiples, and data densification - Plan and implement the necessary calculations for customized charts - Identify the effect of the Tableau order of operations on calculations - Troubleshoot issues caused by the Tableau order of operations - Plan and implement advanced techniques to build interactivity into dashboards, such as dynamic URL actions, parameter actions, filter actions, and sheet swapping - Identify use cases for augmented analytics, such as Ask Data, Explain Data, and Data Stories |
| Design workbooks to optimize performance |
- Identify and resolve resource-intensive queries - Maximize caching for Tableau Server - Identify and resolve performance issues caused by calculations such as string comparisons, IF THEN statements, and Level of Detail (LOD) expressions - Recommend calculations that should be moved upstream of Tableau - Interpret and resolve issues by using performance recordings - Identify and resolve performance issues caused by design elements such as number of sheets, number of filters, and image size |
| Implement advanced calculations that include multiple steps |
- Implement aggregations that include dimensions - Implement advanced table calculations, such as window, nested table, or multi-directional - Implement advanced date functions, such as fiscal calendars - Implement advanced LODs, such as nested LODs - Implement combinations of advanced calculations - Troubleshoot advanced calculations |
Establish Governance and Support Published Content - 14% |
|
| Recommend and apply a Tableau governance strategy |
- Map an organization's governance requirements to Tableau features and capabilities - Recommend a strategy for securing access to content - Recommend a strategy for organizing content, such as by function, by organization, and by role - Recommend a strategy for ensuring data quality, including certifying data sources, minimizing data proliferation, and configuring data quality warnings - Evaluate compliance with a governance strategy by using Data Catalog, including Data Lineage |
| Design custom administrative views |
- Interpret the repository schema and event types - Specify insights that require a custom administrative view - Specify appropriate permissions to create administrative views |
| Recommend a content distribution strategy |
- Map publishing requirements to features and capabilities of Tableau - Recommend an approach for the workbook lifecycle, including building, testing, deployment, distribution, and maintenance - Recommend a version control strategy within Tableau |
| Identify and resolve errors external to Tableau |
- Identify and resolve connection authentication and network access - Identify and resolve update failures that originate from the source system - Identify other issues that originate from outside Tableau, such as platform or network outage |
The Tableau has created this credential to assess your knowledge and understanding in the specified areas through the TCC-C01 certification exam. The Tableau Certified Consultant exam holds significant value in the market due to the brand reputation of Tableau. We highly recommend thorough study and extensive practice to ensure you pass the Tableau Certified Consultant exam with confidence.