For a new report, a consultant needs to build a data model with three different tables, including two that contain hierarchies of locations and products. The third
table contains detailed warehousing data from all locations across six countries. The consultant uses Tableau Cloud and the size of the third table excludes
using an extract.
What is the most performant approach to model the data for a live connection?
A client uses Tableau Data Management and notices that when they view a data source, they sometimes see a different count of workbooks in the Connected
Workbooks tab compared to the lineage count in Tableau Catalog.
What is the cause of this discrepancy?
A client builds a dashboard that presents current and long-term stock measures. Currently, the data is at a daily level. The data presents as a bar chart that
presents monthly results over current and previous years. Some measures must present as monthly averages.
What should the consultant recommend to limit the data source for optimal performance?
A client has many published data sources in Tableau Server. The data sources use the same databases and tables. The client notices different departments
give different answers to the same business questions, and the departments cannot trust the data. The client wants to know what causes data sources to return
different data.
Which tool should the client use to identify this issue?
A new Tableau user created a simple dashboard on Tableau Server using supply chain data. Now, the user wants to know if they created the dashboard in
accordance with specific performance best practices.
Which approach should the consultant recommend for the client to make this determination?
A client wants to see the average number of orders per customer per month, broken down by region. The client has created the following calculated field:
Orders per Customer: {FIXED [Customer ID]: COUNTD([Order ID])}
The client then creates a line chart that plots AVG(Orders per Customer) over MONTH(Order Date) by Region. The numbers shown by this chart are far higher
than the customer expects.
The client asks a consultant to rewrite the calculation so the result meets their expectation.
Which calculation should the consultant use?