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Salesforce Analytics-Con-201 : Salesforce Certified CRM Analytics and Einstein Discovery Consultant

Analytics-Con-201

Exam Code: Analytics-Con-201

Exam Name: Salesforce Certified CRM Analytics and Einstein Discovery Consultant

Updated: Aug 22, 2026

Q & A: 117 Questions and Answers

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Salesforce Analytics-Con-201 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Security10%- Determine security and sharing settings
  • 1. Describe how Salesforce security is applied in CRM Analytics
  • 2. Implement row-level security
Topic 2: Data Layer25%- Implement and configure the right data transformations
  • 1. Identify and resolve data sync issues
  • 2. Use Data Prep actions
- Identify the right data sources and data flows for CRM Analytics
  • 1. Describe use cases for Data Prep (Dataflows and Recipes)
  • 2. Describe how Salesforce objects map to CRM Analytics
  • 3. Define datasets
Topic 3: Einstein Discovery20%- Describe Einstein Discovery concepts
  • 1. Explain the model building process
  • 2. Identify the use cases for Einstein Discovery
  • 3. Interpret model results
- Implement Einstein Discovery
  • 1. Configure and deploy Einstein Discovery models
  • 2. Integrate predictions into CRM Analytics dashboards
Topic 4: Analytics Dashboard Configuration25%- Configure dashboards
  • 1. Apply query filters
  • 2. Configure bindings
  • 3. Set up dynamic dashboards
Topic 5: Analytics Dashboard Design20%- Design and build CRM Analytics dashboards
  • 1. Describe the use cases for Visualforce and Lightning components
  • 2. Apply design best practices
  • 3. Use Lenses and Dashboards

Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions:

1. A CRM Analytics consultant is updating an existing recipe.
They are looking to add a few additional fields onto the Account dataset. One of the fields to be added is a multi-select picklist field that needs to be shown as text on the dashboard.
What should the consultant do to accomplish this?

A) Use the array multivalue function to convert this field to a text prior to registering the dataset.
B) Use the string multivalue function to convert this field to a text prior to registering the dataset.
C) Use the array_join multivalue runcuen co convert this field to a text prior to registering the dataset.


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


3. A manager at Cloud Kicks asks for data in a dashboard to be refreshed after the sync of an external connection to Google BigQuery.
How should the consultant accomplish this?

A) Check the scheduled date/time of the sync and schedule the recipe to run 15 minutes after the start time of the sync.
B) Create 3 Salesforce flow to trigger the recipe to run once the connection sync has finished running.
C) Schedule the recipe to run as event-based and check the Salesforce external connection syncs checkbox.


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


5. 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, R2 (R-squared)
C) Area Under Curve, Confusion Matrix


Solutions:

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

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