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Salesforce Analytics-Con-201 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Dashboard and App Development | - Lens creation and dashboard design - Interactive filters and user experience optimization |
| Topic 2: Data Integration and Connectivity | - Connecting external data sources - Data synchronization and refresh strategies |
| Topic 3: Data Management and Preparation | - Dataset creation and configuration in CRM Analytics - Data transformation and dataflows |
| Topic 4: Einstein Discovery | - Model building and predictions - Insights interpretation and recommendations |
| Topic 5: Security and Access | - Row-level security and sharing rules - App and dataset permissions |
Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions:
What can a consultant accomplish in the Predictions page of a model?
- A. Create predicted outcome value by manually selecting values for some of the predictor fields.
- B. If it is decided to follow some of the Einstein Recommendations for model improvement, see what the new model metrics would be.
- C. Estimate the impacted business value of using Einstein Discovery.
Correct Answer: A 🗳️
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The administrator at Cloud Kicks has been asked to sync data from an external object created in Salesforce into CRM Analytics.
What should the administrator keep in mind?
- A. Salesforce external objects are unsupported in RM Analytics recipes digest transformations.
- B. Using a custom connector to connect to the external objects will load it into CRM Analytics.
- C. Loading the external object data into CRM Analytics will help joinobjects in the recipes.
Correct Answer: A 🗳️
A CRM Analytics consultant is asked to make changes to the current sales dashboard at Cloud Kicks. The dashboard is crucial to track the daily sales performance of the company and needs to be available for other users while the consultant works on the changes.
How should the consultant proceed to update the dashboard?
- A. Wait for a period of least usability or the dashboard to edit it.
- B. Clone the dashboard to a new one, apply the changes, share the new dashboard with the users, and delete the old one.
- C. Self assign as a dashboard publisher and make the changes to the dashboard in draft mode while maintaining a previous version live.
Correct Answer: C 🗳️
CRM Analytics team is asked to build a Service Analytics dashboard for the service agents.
What are the main "Deep Design Thinking" principles the team should keep in mind during the discovery sessions?
- A. Priority - Logic - Level of Granularity
- B. Clarity - Efficiency - Consistency
- C. Purpose - Structure - Surface
Correct Answer: C 🗳️
ACRM Analytics consultant is reviewing results from an Einstein Discovery story with a business user. They agree with the findings but notice that none of the fields used in the story have a correlation value greater than
4%. The client is now concerned that the model
may not be good enough to deploy.
Which action should the consultant take?
- A. Edit the model accuracy settings and rerun it to evaluate the correlation.
- B. Use the appropriate algorithm and update the model.
- C. A Identify additional data that may have a stronger relationship with the outcome variable.
Correct Answer: C 🗳️
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