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Salesforce Analytics-Con-201 Exam Syllabus Topics:

Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions:

1. A CRM Analytics consultant is building a dashboard for Cloud Kicks that is embedded in a separate Lightning page called "Management Dashboard" using a CRM Analytics Dashboard Component. The system administrator and the contract manager should both have access. The system administrator is able to see the dashboard and the data, but the contract manager sees a blank Lightning page.
What is causing the issue?

A) The consultant has set up a dashboard filter condition for data to be visible to system administrators only.
B) The consultant has set up/enabled a 'Hide on Error' feature for the dashboard while embedding it.
C) The consultant has set up component visibility for the dashboard for system administrators only.

2. Universal Containers' CRM Analytics team is building a dashboard with two widgets, and the queries use different datasets.
1. List widget associated to the query "Type_2" and grouped by the dimension "Type" (multi-selection)
2. Donut chart widget associated to the query "Query_pie_3" and grouped by the dimension "Type" The team wants any selection in the List widget to filter the Donut chart and vice versa. Users should be able to choose more than one Type (multi-selection).
What is the recommended way to accomplish the required filtering?

A) Use "Connect Data Sources" to create a mapping of the two fields from the two datasets.
B) Create a selection based Interaction and apply It to the query of "Query ple 3".
C) Set up a result and selection based interaction for each query.

3. CRM Analytics team is asked to build a Service Analytics dashboard for the service agents.
What are the main "Deep Design Thinking" principles the team should keep in mind during the discovery sessions?

A) Purpose - Structure - Surface
B) Clarity - Efficiency - Consistency
C) Priority - Logic - Level of Granularity

4. The below image shows a numeric outcome being deployed (Regression).

Which metric is used to calculate the performance of the model in production, specifically in the Model Manager?
The below image shows a numeric outcome being deployed (Regression).
Which metric is used to calculate the performance of the model in production, specifically in the Model Manager?

A) Root Mean Square Error, Minimum Square Error
B) Area Under Curve, Confusion Matrix
C) Area Under Curve, R2 (R-squared)

5.
Which timeseries statement will fix the query?

A) q = timeserles q generate 'sum_Sales' as 'Forecasted_Sales' with (length=12,dateCols=("Date_Year',
'Date_Month', "Y-M"), partition='Region');
B) q= timeseries q generate 'sum_Sales' as 'Forecasted_Sales' with (dateCols=('Date_Year', 'Date Quarter', "Y-Q"), partition='Region', seasonality=4);
C) q = timeseries q generate 'sum_Sales' as 'Forecasted_Sales' with (dateCols=('Date_Quarter',
'Date_Month', "Q-M"), partition='Region', ignoreLast=true);

Solutions: