Question 1

A consultant is reviewing a client’s data structure to identify opportunities for performance enhancement in Tableau.

Which area should be prioritized for review?

Options :

A : The aesthetic layout of the client’s current data dashboards

B : The use of indexing and partitioning in the client’s database systems

C : The color schemes used in the client-s existing data visualizations

D : The number of users accessing the database concurrently

Answer: B

Question 2

Users are reporting that they cannot access Tableau Server, and initial checks indicate that there are no issues with the Tableau Server itself.

What should be the next step in troubleshooting this problem?

Options :

A : Check the user permissions in Tableau Server to ensure users have the correct access rights

B : Verify the network connectivity and firewall settings to rule out network-related issues

C : Instruct users to clear their browser cache and restart their devices

D : Increase the Tableau Server-s hardware resources to handle more user connections

Answer: B

Question 3

A Tableau workbook is connected to a large dataset and uses numerous calculated fields for data cleansing, such as trimming whitespace and converting strings to standardized formats.

The workbook’s performance is significantly slow. What is the best approach to address this issue?

Options :

A : Move the data cleansing calculations to the data source level, possibly using ETL processes

B : Use Tableau Prep to handle these data cleansing operations before loading the data into Tableau

C : Replace the calculated fields with equivalent Tableau functions to improve efficiency

D : Increase the processing power of the Tableau Server

Answer: A

Question 4

A consultant needs to analyze sales data from a SQL database and marketing data from a cloud-based CRM system in Tableau. The data structures are different, but both datasets contain a customer ID field.

What is the best approach to prepare these data sets for combined analysis in Tableau?

Options :

A : Use Tableau-s data blending feature, linking on the customer ID field

B : Normalize both data sets in an external database before importing into Tableau

C : Import both data sets separately and use Tableau-s join feature on the customer ID field

D : Export both data sets to Excel, merge them manually, and then import into Tableau

Answer: A

Question 5

When translating analytical requirements into the Tableau context, what is a best practice for ensuring effective dashboard design?

Options :

A : Using as many varied chart types as possible to display data diversity

B : Prioritizing clear and intuitive visualizations that align with the users' data interpretation skills

C : Designing the dashboard layout to be identical to existing report formats

D : Incorporating complex calculations and data models visible to end-users for transparency

Answer: B

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