Free PDF 2026 Salesforce Analytics-Con-201: Salesforce Certified CRM Analytics and Einstein Discovery Consultant–High Pass-Rate Latest Exam Topics

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Salesforce Analytics-Con-201 Exam Syllabus Topics:

SectionWeightObjectives
Analytics Dashboard Configuration25%- Configure dashboards
  • 1. Configure bindings
  • 2. Apply query filters
  • 3. Set up dynamic dashboards
Security10%- Determine security and sharing settings
  • 1. Implement row-level security
  • 2. Describe how Salesforce security is applied in CRM Analytics
Einstein Discovery20%- Implement Einstein Discovery
  • 1. Configure and deploy Einstein Discovery models
  • 2. Integrate predictions into CRM Analytics dashboards
- Describe Einstein Discovery concepts
  • 1. Interpret model results
  • 2. Explain the model building process
  • 3. Identify the use cases for Einstein Discovery
Analytics Dashboard Design20%- Design and build CRM Analytics dashboards
  • 1. Apply design best practices
  • 2. Describe the use cases for Visualforce and Lightning components
  • 3. Use Lenses and Dashboards
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. Define datasets
  • 3. Describe how Salesforce objects map to CRM Analytics

>> Latest Analytics-Con-201 Exam Topics <<

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Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions (Q114-Q119):

NEW QUESTION # 114
An CRM Analytics consultant creates a model to maximize the satisfaction of cases. They want to deploy the mode! and further use the model and predictions in an existing automated business process powered by Salesforce Flow.
What is the most efficient way to accomplish this?

Answer: B


NEW QUESTION # 115
A new picklist value was added for the Category field on the Account object. This field is already added as part of the Account object data sync and the respective recipe that uses this field.
The CRM Analytics team reports that when they start the recipe it runs successfully with no errors or warnings, but theyare unable to See this new valueson their existing dashboards.
What is the oridi4 of this issue?

Answer: A


NEW QUESTION # 116
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?

Answer: A

Explanation:
In the context of a regression model being deployed, the performance metrics used to evaluate its effectiveness in production typically include:
* Root Mean Square Error (RMSE): This metric provides a measure of the average magnitude of the errors between predicted values by the model and the actual values, giving a sense of how accurately the model predicts the outcome.
* Minimum Square Error: While less commonly referenced as "Minimum Square Error", metrics like Mean Squared Error (MSE) are often used to quantify the average of the squares of the errors- essentially, the average squared difference between the estimated values and what is estimated.
These metrics are crucial for assessing the performance of regression models in CRM Analytics, as they directly reflect the accuracy and reliability of the model's predictions in real-world applications.


NEW QUESTION # 117
The CRM Analytics consultant at Universal Containers (UC) has set up data sync for the Salesforce Opportunity object with the Amount currency field added. This is being used in multiple datasets and dashboards, as UC is a multi-currency organization.
The currency used in Salesforce records is set up in GBP but the data on the dashboard is converting to USD.
Conversion logic is not set up on any of the recipes.
Why is the currency converting?

Answer: C

Explanation:
In Salesforce CRM Analytics, when dealing with multi-currency environments, the system relies on the organization's corporate currency setting for reporting, unless explicitly overridden. In this case, even though the Opportunity data is stored in GBP in Salesforce, the dashboards are showing USD because the corporate currency for the org is set to USD. This behavior is expected unless currency conversion logic is implemented in the datasets or recipes.
The corporate currency serves as the default for currency fields in datasets and dashboards unless configured otherwise. This can be confirmed under the "Manage Currencies" settings in Salesforce.
Reference: The currency handling rules in CRM Analytics, including how the corporate currency affects reporting, are detailed inSalesforce documentation on multi-currency organizationsand theEinstein Discoverytraining materials.


NEW QUESTION # 118
A consultant is preparing a dataset to predict customer lifetime value and is collecting data from a questionnaire that asks for demographic information. A very small number of respondents fill in the Income box, but the consultant thinks that it is an informative column even though it only represents 1% of respondents.
What should the consultant do?

Answer: C

Explanation:
Reference:CRM Analytics Recipes and Predict Missing Values


NEW QUESTION # 119
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