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Salesforce Tableau-CRM-Einstein-Discovery-Consultant Exam Syllabus Topics:

Salesforce Tableau CRM Einstein Discovery Consultant Sample Questions:

1. 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?

A) 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
B) 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
C) 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
D) 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

2. What do Analytics apps do?

A) Use ready-made dashboards to tell easy-to-follow stories about your data
B) Alert you when you need a visa for an upcoming trip
C) Let you add new types of charts to Salesforce
D) Let you create configuration wizards to make Analytics setup easier

3. A consultant has created a story to maximize the daily sales quantity of consumer products in stores. After creating a story, the consulting is presented with this data alert by Einstein Discovery (see graphic).
What are two appropriate actions to take?
Choose 2 answers

A) Discuss with the client if values below 0 and above 2,489 are so uncommon that they should perhaps be left out of the story.
B) Manually remove the sales bellow 0 (negative sales must be a data issue), but keep the large value (the more data, the better the model will be).
C) Remove the outliers as suggested by Einstein, and verify using model metrics and story insights if the quality improved.
D) Remove the outliers as suggested by Einstein and deploy the model.

4. Upper and lower limits on rows in discovery.

A) 00 row minimum, 20,000,000 max
B) 3000 row minimum, 20,000,000 max
C) 1000 row minimum, 15,000,000 max
D) 500 row minimum, 25,000,000 max

5. What's the best way to describe the template-info.json file?

A) It's the boss of the template with all the information needed to create the app.
B) It makes sure that the app includes all the right Salesforce data.
C) It's a read-only file with all the user documentation for a template.
D) It's automatically populated every time you create an app from the template.

Solutions: