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Salesforce Analytics-Con-201 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Security	10%	- Determine security and sharing settings 1. Describe how Salesforce security is applied in CRM Analytics 2. Implement row-level security
Topic 2: Data Layer	25%	- Implement and configure the right data transformations 1. Use Data Prep actions 2. Identify and resolve data sync issues - Identify the right data sources and data flows for CRM Analytics 1. Describe how Salesforce objects map to CRM Analytics 2. Define datasets 3. Describe use cases for Data Prep (Dataflows and Recipes)
Topic 3: Analytics Dashboard Configuration	25%	- Configure dashboards 1. Apply query filters 2. Set up dynamic dashboards 3. Configure bindings
Topic 4: Analytics Dashboard Design	20%	- Design and build CRM Analytics dashboards 1. Use Lenses and Dashboards 2. Describe the use cases for Visualforce and Lightning components 3. Apply design best practices
Topic 5: Einstein Discovery	20%	- Describe Einstein Discovery concepts 1. Interpret model results 2. Explain the model building process 3. Identify the use cases for Einstein Discovery - Implement Einstein Discovery 1. Configure and deploy Einstein Discovery models 2. Integrate predictions into CRM Analytics dashboards

Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions:

Question #1

A CRM Analytics consultant has been tasked with providing access to CRM Analytics for a few users. They should be able to view the data but unable to export it.
Which permission should the consultant make sure to NOT include?

A. Download CRM Analytics data
B. View CRM Analytics Assets
C. Export CRM Analytics data

Reveal Solution Discussion 0

Correct Answer: A 🗳️

Question #2

Cloud Kicks (CK) has a dashboard in CRM Analytics with forecasting data. One widget is a compare table using the timeseries function showing the quarterly forecast. However, CK is interested in enhancing the dashboard with a weekly forecast per customer.
How should CK achieve this?

A. An SAQL query with @ timeseries statement specifying Account Name as the partition and Y-M-D as the Date Cols
B. An SAQL query with a timeseries statement specifying Opportunity Name as the partition and Y-M-W as the Date Cols
C. An SAQL query with a timeseries statement specifying Account Name as the partition and Y-M-W as the Date Cols

Reveal Solution Discussion 0

Correct Answer: C 🗳️

Explanation: Only visible for ActualPDF members. You can sign-up / login (it's free).

Question #3

In Data Alerts, a field named Region is 96.5% North America. The consultant believes that this is an important field since the majority of sales is in the North American market.
What is the appropriate action?

A. Append more rows of data with "other values of Region" to balance the dataset properly.
B. Understand if client should only "focus on North America" or drop the field, as it does not have valuable information.
C. Choose the recommended action "keep only North America" and exclude all of the other rows.

Reveal Solution Discussion 0

Correct Answer: B 🗳️

Question #4

A consultant wants to understand what the important predictors are in a model.
Where is this information found?

A. Model Deployment Wizard
B. Einstein Recommendations
C. Model Settings

Reveal Solution Discussion 0

Correct Answer: C 🗳️

Explanation: Only visible for ActualPDF members. You can sign-up / login (it's free).

Question #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?