Question 1

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 2

A CRM Analytics consultant has prepared a CSV file to be uploaded to CRM Analytics. By mistake, one of the column headers is modified as random non-alphanumeric characters "*&**(&*(%", which went unnoticed prior to uploading the file. What is the expected behavior of the uploaded CSV column?

Options :

A : The columnheaderis prefixed with "X" upon upload.

B : The column header is auto-updated to “Column” + column number.

C : The column header Is set to *&**(&*(%.

Answer: A

Question 3

How can you restrict access to Analytics data at the row level?

Options :

A : Manually add a flag to each row to prevent access.

B : Use a security predicate to filter which rows are returned.

C : Use subtle thought control.

D : Remove restricted rows from the JSON file

Answer: B

Question 4

A versioning feature allows CRM Analytics users to be added as Publishers and make changes separately while a ‘Live’ version is still being usedby other users. Once the changes are complete, the user can then set their updated version as the Live version. Which CRM Analytics item is this leveraged for?

Options :

A : App

B : Dataset

C : goats

Answer: A

Question 5

An Einstein Analytics team wants to create a dashboard using two standard Salesforce objects. The dashboard should display data from the Case object, along with related data from the Account object. Which two processes can achieve this?

Options :

A : Extract data from the case and account objects using 'sfdcDigest' transformation, Q use 'append' transformation to add case data with account data, store as a dataset, and then build a dashboard using the generated dataset

B : Extract data from the case and account objects using an ETL tool, use the ETL tool to y/ Q join account and case data, and then upload the data to Einstein Analytics. Build a dashboard using the ETL generated dataset

C : Extract data from the case and account objects using 'sfdcDigest' transformation, y/ Q use 'augment' transformation to add case data with account data, store as a dataset, and then build a dashboard using the generated dataset

D : Extract data from the case and account objects using 'dataloader', create a CSV file Q with account and case data, and then upload the CSV as a dataset to Einstein Analytics. Build a dashboard using that dataset

Answer: B,C