Free TCC-C01 Mock Exam – Practice Online Confidently

In a Tableau workbook, a consultant observes that a data set filter for excluding certain product categories is not impacting a percentile rank calculation as expected. The percentile rank is being calculated including all categories, regardless of the filter.

What might be causing this issue in light of Tableau’s order of operations?

A client has a pipeline dashboard that takes a long time to load. The dashboard is connected to only one large

data source that is an extract.

It contains two calculated fields:

. TOTAL([Opportunities])

· SUM([Value])

It also contains two filters:

. A Relative Date filter on Created Date, a Date field containing values from 5 years ago until today A Multiple Values (Dropdown) filter on Account Name, a String field containing 1,000 distinct values

A consultant creates a Performance Recording to troubleshoot the issue, and finds out that the longest-running

event is "Executing Query."

Which step should the consultant take to resolve this issue?

•  Simplifying LOD expressions by reducing their complexity can improve performance by decreasing the computational load required to process these expressions.

Option B is incorrect as replacing LOD expressions with table calculations may not improve performance and could change the intended functionality.

Option C is incorrect because increasing the level of detail in LOD expressions usually adds to the computational burden, potentially worsening performance.

Option D is incorrect as using LOD expressions for string comparisons can be highly inefficient and is likely to exacerbate performance issues.

In assessing a company’s data structures for performance enhancement with Tableau, what factor is critical to examine?

Your company follows a fiscal year that starts in July. In Tableau, you need to create a view that compares quarterly sales figures based on this fiscal calendar.

Which approach should you take to accurately represent fiscal quarters?