Pass the actual test with the help of Analytics-Con-201 study guide
Updated: Sep 03, 2026
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| Certification Vendor: | Salesforce |
|---|---|
| Exam Name: | Salesforce Certified CRM Analytics and Einstein Discovery Consultant |
| Exam Number: | Analytics-Con-201 |
| Certificate Validity Period: | Maintained with Salesforce release cycles (3x per year) |
| Exam Format: | Multiple-choice, Multiple-select |
| Exam Price: | $200 USD |
| Passing Score: | 65% |
| Available Languages: | English |
| Related Certifications: | Salesforce Certified Administrator Salesforce Certified Data Cloud Consultant |
| Real Exam Qty: | 60 |
| Exam Duration: | 105 minutes |
| Sample Questions: | Salesforce Analytics-Con-201 Sample Questions |
| Exam Way: | Online (proctored) or at a testing center. |
| Pre Condition: | Salesforce Administrator credential (recommended), plus practical experience with CRM Analytics (Einstein Analytics/Tableau CRM). |
| Official Syllabus URL: | https://trailhead.salesforce.com/help?article=Analytics-Con-201-Exam-Guide |
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Einstein Discovery | 20% | - Implement Einstein Discovery
|
| Topic 2: Analytics Dashboard Configuration | 25% | - Configure dashboards
|
| Topic 3: Analytics Dashboard Design | 20% | - Design and build CRM Analytics dashboards
|
| Topic 4: Security | 10% | - Determine security and sharing settings
|
| Topic 5: Data Layer | 25% | - Identify the right data sources and data flows for CRM Analytics
|
Question 1
Universal Containers has a well-defined role hierarchy in Salesforce where everyone is assigned to an appropriate node. The accounts within their instance are categorized by their demography.
An individual sales rep should be able to view all accounts that they own. In addition, sales reps should be able to see any accounts where the value of the account demography matches the demography defined on their user record. A user could have more than one demography defined on their user record.
To meet this requirement, the CRM Analytics consultant has set up a security predicate of the existing
'Account' dataset as follows:
This, however, does not seem to be working as expected.
What is causing the issue?
A. The Analytics Security User is not provided access permission on custom field Demographic_c on the User object.
B. The security predicate needs to be updated as 'Ownerld' == "sUser.id" || 'Demography' = "$User.
Demographic__c'.
C. The Sales Rep is not provided access permission on custom field Demographic__c on the User object.
Question 2
A CRM Analytics administrator is working on deploying a dataflow and a dataset (generated by this dataflow) to another org.
While creating a change set, they notice that the components are NOT visible to be included in the change set.
What is the reason for this?
A. Assets are kept in the Private App and are unavailable to include in the change set.
B. The administrator does NOT have access to the assets on CRM Analytics.
C. The administrator does NOT have system administrator permission to include the assets In the change set,
Question 3
Universal Containers builds a new sales dashboard and wants to makesure account managers can access the dashboard while traveling.
What should the consultant consider doing in this process?
A. A Set the optimal Dashboard width for the Phone layout to get a more accurate preview.
B. Enable mobile optimization in the analytics settings under Setup.
C. Make sure the dashboard automatically is optimized for mobile viewing.
Question 4
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. Predict Missing Values
C. Timeseries Forecasting
Question 5
consultant is reviewing a model that is set to maximize the daily sales quantity of consumer products in stores, and they see this recommendation.
Which action should the consultant take?
A. Ignore alert; the explanation of variation is only 35%, which is below 50%,
B. Verifyclient expectations that Store is a strong predictor for daily sales quantity.
C. Remove the Store field from the model definition, because that is the recommended action.
Solutions:
| Question 1 Answer: C | Question 2 Answer: A | Question 3 Answer: A | Question 4 Answer: A | Question 5 Answer: B |
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