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Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions:

1. After the initial creation of a model, the first model insight explains
93% of the variation of the outcome variable. This is unusually high.
What is the most likely reason for this?

A) The dataset contains multiple dominant values.
B) The outcome variable may be causing data leakage.
C) The model contains too many outlier values.


2. ACRM Analytics consultant is reviewing results from an Einstein Discovery story with a business user. They agree with the findings but notice that none of the fields used in the story have a correlation value greater than
4%. The client is now concerned that the model
may not be good enough to deploy.
Which action should the consultant take?

A) Edit the model accuracy settings and rerun it to evaluate the correlation.
B) Use the appropriate algorithm and update the model.
C) A Identify additional data that may have a stronger relationship with the outcome variable.


3. A CRM Analytics consultant at Cloud Kicks is trying to upload data using an External Data API and the CSV file with the data wasuploaded successfully. Upon analyzing the data using a lens, they find they are unable to perform any mathematical operations as all the data and fields are treated as dimensions.
What is causing the problem?

A) JSON metadata file was not uploaded along with the CSV data file.
B) The field value added in the CSV file was contained within double quotes.
C) Proper transformations need to be performed at the external source prior to External Data API callout.


4. Universal Containers has a dashboard for sales managers. They need the ability to visualize the number of Closed Won opportunities by month, quarter, or year, and then display the result in a single chart. A CRM Analytics consultant creates a custom query to display three values:
ClosedDate_month, ClosedDate_ quarter, and ClosedDate_year.
What should the consultant do next?

A) Use selection binding/interaction to update the measure In the chart.
B) Use selection binding/interaction to update the grouping In the chart.
C) Use result binding/interaction to update the grouping in the chart.


5. An CRM Analytics consultant is working with Ursa Major Solar to build a dashboard to understand customer renewals. Each subscription is captured as a Closed Won Opportunity within Salesforce and asingle Account should only have one active subscription. The consultant notices the Opportunity record does NOT specify whether it is a renewal or a net new subscription.
Which data transformation should the consultant use to determine if a subscription is new or a renewal?

A) Flatten
B) Custom Multiple row formula
C) Custom Formula


Solutions:

Question # 1
Answer: B
Question # 2
Answer: C
Question # 3
Answer: A
Question # 4
Answer: B
Question # 5
Answer: C

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