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Question 1

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

Question 2

What are two main steps for creating a dataset?

Options :

A : Run and monitor

B : Plan and map

C : Extract and prepare

D : Build and explore

Answer: A

Question 3

Max story creations per org per month

Options :

A : 1000 (can purchase more)

B : 500 (can purchase more)

C : 200 (can purchase more)

D : 500

Answer: B

Question 4

A consultant built an Einstein Analytics app for the Sales Operations team. The team wants to share this app with other people at the company. The consultant recommends distributing the app as an Einstein Analytics template app.
In the process of creating the template, which role does the original Einstein Analytics app for the Sales Operation team play?

Options :

A : It is the template.

B : It is the instance.

C : It is the master.

D : It is the target.

Answer: C

Question 5

Upper and lower limits on rows in discovery.

Options :

A : 1000 row minimum, 15,000,000 max

B : 3000 row minimum, 20,000,000 max

C : 00 row minimum, 20,000,000 max

D : 500 row minimum, 25,000,000 max

Answer: C