Question 1

The CRM Analytics consultant at Universal Containers notices that some users have access to sensitive data and dashboards they should not have access to in the Manager's app. How should the consultant fix the problem?

Options :

A : Develop separate dashboards and datasets and put them in the Manager-s app.

B : Apply data encryption using Salesforce Shield.

C : Create separate apps, datasets, and dashboards, and share them with the proper users.

Answer: C

Question 2

The Tableau CRM team at a company creates three recipes. 1) myRecipeOne: this recipe takes 2 hours to run.

2) mvRedpeTwo: this recipe takes 1 hour and 30 minutes to run. 3) myRecipeThree: this recipe takes 1 minute and 30 seconds to run. If all three recipes run, how many count towards the 24 hour rolling recipe run limit.

Options :

A : 2

B : 1

C : 0

D : 3

Answer: A

Question 3

Which isn't an option for setting a security predicate for a dataset created from an external data file?

Options :

A : In the metadata file associated with the external data file using the rowLevelSecurityFilter key

B : In the Register transformation node of a dataflow that uses this dataset

C : In the dataset Security Predicate

D : On each row prior to upload

Answer: D

Question 4

A company wants to build a webpage that displays KPIs that can be derived from values in datasets stored in Einstein Analytics. How can an Einstein Analytics consultant derive those KPIs from those datasets?

Options :

A : Use the Analytics External Data API and leverage the 'query' resource.

B : Export the dataset as an XLS file and use the Einstein Analytics Connector for Excel.

C : Use the Analytics REST API and leverage the -query' resource.

D : Export the dataset as a CSV file and load it to an external database.

Answer: A

Question 5

A customer is reviewing a story that is set to maximize the daily sales quantity of consumer products in stores and sees this chart. The visualized tooltip belongs to the blue bar for San Francisco, reflecting, November daily sales quantities in that city specifically. What two conclusions can be drawn from this insight?

Options :

A : The average daily in SAN Francisco stores in November as 1601 items higher than the global average of 335.

B : November sales are higher than in other months. This November-effect is the strongest in San Francisco.

C : The average daily quantity in San Francisco stores in November was 1239 items higher than the average of all other months in San Francisco.

D : The average daily quantity in San Francisco stores in November was 1239 items higher than the average of all November sales in the country

Answer: A,C

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