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

Salesforce Tableau CRM Einstein Discovery Consultant Sample Questions:

1. Number of queries per user per day

A) 20,000
B) 1,000
C) 50,000
D) 10,000

2. A consultant is working with a credit card company that needs help with ongoing fraudulent transactions. The company provides a representative sample dataset for the consultant to analyze in Einstein Discovery. The story's initial assessment shows that a third-party payment app is the source of these fraudulent transactions. However, the company rejects this assessment outcome, stating they have not had a partnership with this payment app long enough for it to be a concern.
What is the recommended next step to improve the story outcome?

A) Make adjustments to the story to better demonstrate that the third-party payment app is the culprit.
B) Explain to the company that the story has returned unbiased results and the initial assessment is accurate.
C) Use the credit card company's domain knowledge and exclude the third-party payment app from the story.
D) Ask the credit card company for a more comprehensive dataset to analyze.

3. In the context of Analytics, what is faceting?

A) Measuring the number of significant digits of precision for a particular metric
B) Something only programmers can access
C) Filtering all related widgets in a dashboard by your selection
D) Choosing the color of the background in a graph
E) Representing the number of widgets on a dashboard

4. A data architect wants to use a dataflow transformation to implement row-level security that is based on role hierarchy in Salesforce. Which transformation should be used to level the dataset hierarch?

A) flatten transformation
B) sfdcDigest transformation
C) digest transformation
D) delta transformation

5. Concurrent queries per user?

A) 20
B) 10
C) 50
D) 25

Solutions: