Exam Name: Salesforce Tableau CRM Einstein Discovery Consultant
Certification Provider: Salesforce
Corresponding Certification: Salesforce Consultant
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Instant Download Salesforce : Tableau-CRM-Einstein-Discovery-Consultant Exam Dumps
Updated: Oct 19, 2026
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Salesforce Tableau-CRM-Einstein-Discovery-Consultant Exam Overview:
| Certification Vendor: | Salesforce |
|---|---|
| Exam Name: | Salesforce Certified Tableau CRM and Einstein Discovery Consultant |
| Exam Number: | Tableau-CRM-Einstein-Discovery-Consultant |
| Exam Price: | $200 USD (+ applicable taxes) |
| Available Languages: | English |
| Related Certifications: | Salesforce Certified Administrator Salesforce Certified Data Architect |
| Exam Duration: | 105 minutes |
| Real Exam Qty: | 60-65 |
| Passing Score: | 68% |
| Exam Format: | Multiple-choice, Scenario-based, Multiple-select |
| Certificate Validity Period: | 1 year (requires annual maintenance) |
| Recommended Training: | Trailhead Study for CRM Analytics and Einstein Discovery Consultant Salesforce CRM Analytics Documentation |
| Exam Registration: | Salesforce Certification Registration Pearson VUE Scheduling |
| Sample Questions: | DOWNLOAD DEMO |
| Exam Way: | Online proctored or onsite at Pearson VUE testing centers |
| Pre Condition: | No mandatory prerequisites; Salesforce Administrator certification and 6+ months hands-on experience recommended |
| Official Syllabus URL: | https://trailhead.salesforce.com/credentials/crm-analytics-and-einstein-discovery-consultant |
Salesforce Tableau-CRM-Einstein-Discovery-Consultant Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Security | 11% | - User permissions and access control - Row-level security and sharing - Data encryption and governance |
| Topic 2: Einstein Discovery Story Design | 19% | - Data preparation for modeling - Deploying results to Salesforce - Interpreting insights and predictions - Model creation and evaluation |
| Topic 3: Tableau CRM Dashboard Design | 19% | - Visualization best practices - Mobile optimization - Interactive design and bindings |
| Topic 4: Tableau CRM Dashboard Implementation | 18% | - Lens and dashboard building - SAQL and query logic - Embedded analytics |
| Topic 5: Data Layer | 24% | - Schema design and optimization - Data ingestion and synchronization - Dataset management and transformation - Dataflows and recipes |
| Topic 6: Administration | 9% | - Performance optimization - Platform configuration and provisioning - Deployment and change management |
Tableau-CRM-Einstein-Discovery-Consultant Exam Facts and the Service Behind Them
- Tableau CRM Dashboard Design (19%)
- Security (11%)
- Einstein Discovery Story Design (19%)
Salesforce Tableau CRM Einstein Discovery Consultant Sample Questions:
A consultant has been brought in to help increase the adaption of Tableau CRM. It has been identified that account managers are struggling to get an overview of their accounts before meeting with them. Ideally they would like to have key details highlighted about active cases and opportunities, opportunity value and product whitespace.
What can the consultant do to increase adoption?
- A. Create datasets for account managers to explore
- B. Create 4 analytics lenses and embed them onto the account record page
- C. Create a dashboard and embed it onto the account record page with a filter based on the viewed account
- D. Create a dashboard and embed onto the account record page
Correct Answer: C 🗳️
Results from an Einstein Discovary story are reviewed with a business user. They agree with the findings but noticed 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 next steps?
- A. Proceed with deployment if the model quality metric values ire sufficient.
- B. Identify additional data that may have a stronger relationship with the outcome variable.
- C. Rerun and update the story with a different algorithm.
- D. Edit the model accuracy settings and rerun the story.
Correct Answer: A,B 🗳️
A customer is reviewing a story that is set to maximize the daily sales quantity of consumer products in stores, and the customer sees chart related to promotional activities and to San Francisco specifically.
What conclusion can be drawn from this insight?
What conclusion can be drawn from this Insight?
- A. Promotions increase sales stronger in San Francisco than they do in other cities.
- B. The best promotion type is Display.
- C. Of all promotions types in San Francisco, sales were the highest using Display promotion.
- D. The Other stores (visualized with the gray bars) show no significant data for the sales promotions.
Correct Answer: A 🗳️
The model quality metrics of an Einstein Discovery story indicate that the GINI coefficient in the four folds are 0.82, 0.83, 0.84, and 0.75, respectively.
Which two actions should a consultant take? Choose 2 answers
- A. Deploy the story, because the variation in the metrics is within the normal range.
- B. Research and check the dataset for outliers in the target field and the main predictors that are shown on top of the story.
- C. Confirm that the overall GINI coefficient is good prior to deploying the story.
- D. Do not deploy the story immediately, and research why one fold is performing worse than the others.
Correct Answer: C,D 🗳️
What is the test called that helps to identify categories that exhibit a pattern outside the overall average?
- A. T-test
- B. Null hypothesis test
- C. Chi-square test
- D. Significance level test
- E. Critical region test
Correct Answer: A 🗳️
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