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Salesforce Analytics-Con-201 Exam Syllabus Topics:

Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions:

1. Cloud Kicks (CK) has a dashboard that is still showing 10 former account managers. CK has since expanded, and some have moved from their former roles. CK wants the dashboard to reflect current account managers and stay up to date as new team members join.
How should the CRM Analytics developer accomplish this?

A) Build a report and get notified when a new account manager joins, and then edit the dashboard to add the account manager.
B) Use a Repeater Widget that updates automatically as the data flows through the system.
C) Create @ Watchlist and when the number of account manager updates, update the dashboard to reflect the same.

2. Universal Containers (UC) is looking to create a dashboard for whitespace analysis. UC wants to view a particularcustomer and see what similarcustomers have bought.
Which recipe transformation is helpful for the consultant to use while creating the dataset?

A) Cluster
B) Timeseries Forecasting
C) Predict Missing Values

3. A user is able to access the dashboards, lenses, and datasets of a particular app but is unable to change the name of the specific app.
What is causing the issue?

A) The user does not have Manager access for that app.
B) The app name cannot be changed once created.
C) The user does not have Editor access for that app.

4. Universal Containers (UC) builds three Einstein Discovery models in Salesforce to predict and maximize its revenue per customer. The modelsare for every region UC has a business: EMEA, AMER, and APAC.
How should a consultant help UC deploy the three Einstein models to Salesforce?

A) Filter the account data per region and deploy the same model to all segments.
B) Deploy the same mode! to all accounts and use an Apex trigger to segment the prediction.
C) Segment the account data per region and deploy the appropriate model for each segment.

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

Solutions: