Salesforce Tableau-CRM-Einstein-Discovery-Consultant Questions & Answers - in .pdf
- Total Q&A: 244
- Update: Aug 14, 2026
- Price: $59.99
- Vendor: Salesforce
- Exam Code: Tableau-CRM-Einstein-Discovery-Consultant
- Exam Name: Salesforce Tableau CRM Einstein Discovery Consultant
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Salesforce Tableau-CRM-Einstein-Discovery-Consultant Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|
| Topic 1: Data Layer | 24% | - Schema design and optimization
- Data ingestion and synchronization
- Dataflows and recipes
- Dataset management and transformation
|
| Topic 2: Tableau CRM Dashboard Implementation | 18% | - Lens and dashboard building
- SAQL and query logic
- Embedded analytics
|
| Topic 3: Tableau CRM Dashboard Design | 19% | - Visualization best practices
- Mobile optimization
- Interactive design and bindings
|
| Topic 4: Administration | 9% | - Performance optimization
- Platform configuration and provisioning
- Deployment and change management
|
| Topic 5: Security | 11% | - User permissions and access control
- Row-level security and sharing
- Data encryption and governance
|
| Topic 6: Einstein Discovery Story Design | 19% | - Data preparation for modeling
- Model creation and evaluation
- Deploying results to Salesforce
- Interpreting insights and predictions
|
Salesforce Tableau CRM Einstein Discovery Consultant Sample Questions:
1. How do you analyze data from a CSV file using Einstein Discovery?
A) Import the CSV file into the most similar Salesforce object, then run reports on that object.
B) You can't import data from a CSV file
C) Import the CSV file into Einstein Discovery.
D) Import the CSV file into an Einstein Analytics dataset, then create a story.
2. An Einstein Discovery team created a model to maximize the margin of their sales opportunities. They want to deploy the model to the Opportunity object in order to predict the outcome of every newly created or updated Opportunity.
What are the steps to accomplish this?
A) Create a trigger on Opportunity and use the REST API to get predictions from Einstein Discovery.
B) Create an Apex batch on Opportunity and use the REST API to get predictions from Einstein Discovery.
C) Create a trigger on Opportunity and use the Salesforce External Connector to get predictions from Einstein Discovery.
D) Create a trigger on Opportunity and install the Einstein Discovery Writeback managed package from the AppExchange.
3. Max of objects that can be enabled for Data Sync
A) 150
B) 50
C) 100
D) 200
4. The Universal Containers company uses Einstein Analytics to build dashboards for different departments: Sales, Service, and Marketing. Users for the same department have the same role and need to have access to the same dashboards. Dashboards for different departments use some common datasets with the same row-level security.
How can an Einstein Consultant address this need?
A) Create one application for each department and use roles to share applications.
B) Create one application for each department, put common datasets in the shared app, and use profiles to share applications.
C) Create one application for each department, put common datasets in the shared app, and use permission sets to share applications.
D) Create one application for each department, put common datasets in the shared app, and use roles to share applications.
5. What does a configuration wizard do?
A) Lets you know the best way to set up your Salesforce data
B) Automatically creates multiple versions of the same app
C) Customizes your template based on Salesforce settings
D) Asks you questions about how you store data in your org to help you create your app
Solutions:
Question # 1
Answer: D | Question # 2
Answer: D | Question # 3
Answer: C | Question # 4
Answer: D | Question # 5
Answer: D |
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