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Salesforce Tableau-CRM-Einstein-Discovery-Consultant Questions & Answers - in .pdf

Tableau-CRM-Einstein-Discovery-Consultant pdf
  • Total Q&A: 244
  • Update: Aug 14, 2026
  • Price: $59.99
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  • Vendor: Salesforce
  • Exam Code: Tableau-CRM-Einstein-Discovery-Consultant
  • Exam Name: Salesforce Tableau CRM Einstein Discovery Consultant
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Tableau-CRM-Einstein-Discovery-Consultant Study Guide
  • Total Q&A: 244
  • Update: Aug 14, 2026
  • Price: $59.99
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  • 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 Overview:

Certification Vendor:Salesforce
Exam Name:Salesforce Certified Tableau CRM and Einstein Discovery Consultant
Exam Number:Tableau-CRM-Einstein-Discovery-Consultant
Passing Score:68%
Exam Price:$200 USD (+ applicable taxes)
Related Certifications:Salesforce Certified Administrator
Salesforce Certified Data Architect
Certificate Validity Period:1 year (requires annual maintenance)
Exam Format:Multiple-choice, Multiple-select, Scenario-based
Exam Duration:105 minutes
Available Languages:English
Real Exam Qty:60-65
Recommended Training:Salesforce CRM Analytics Documentation
Trailhead Study for CRM Analytics and Einstein Discovery Consultant
Exam Registration:Pearson VUE Scheduling
Salesforce Certification Registration
Sample Questions:Salesforce Tableau-CRM-Einstein-Discovery-Consultant Sample Questions
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:

SectionWeightObjectives
Security11%- Row-level security and sharing
- Data encryption and governance
- User permissions and access control
Administration9%- Platform configuration and provisioning
- Deployment and change management
- Performance optimization
Data Layer24%- Data ingestion and synchronization
- Schema design and optimization
- Dataflows and recipes
- Dataset management and transformation
Tableau CRM Dashboard Implementation18%- Embedded analytics
- Lens and dashboard building
- SAQL and query logic
Tableau CRM Dashboard Design19%- Visualization best practices
- Mobile optimization
- Interactive design and bindings
Einstein Discovery Story Design19%- Data preparation for modeling
- Interpreting insights and predictions
- Model creation and evaluation
- Deploying results to Salesforce

Salesforce Tableau CRM Einstein Discovery Consultant Sample Questions:

1. What are the steps in the data exploration process?

A) View, Explore, Refine, Save, Share
B) Download, View, Refine, Save, Share
C) View, Explore, Reduce, Save, Share


2. The Universal Containers company uses a Microsoft Azure SQL Data Warehouse to gather information about sales representatives' objectives. They want to use Einstein Analytics to gain insights from this data; therefore, they need to automatically load the warehouse's data into an Einstein Analytics dataset on a daily basis. The data also needs to be transformed and merged with data from the company's org.
Which three Einstein Analytics user interface features can be used to complete these requirements? Choose 3 answers

A) Analytics REST API
B) Dataflow
C) Microsoft Azure SQL Data Warehouse Connector
D) Einstein Analytics Connector for Excel
E) Recipes


3. What's the best way to describe the template-info.json file?

A) It's the boss of the template with all the information needed to create the app.
B) It's automatically populated every time you create an app from the template.
C) It's a read-only file with all the user documentation for a template.
D) It makes sure that the app includes all the right Salesforce data.


4. A client has a dataset comprised of Opportunity data and Opportunity Line level dat a. The client wants to use this dataset with Einstein Discovery to understand the Opportunity win rate.
What must be done to the dataset to achieve this goal?

A) Filter to only look at isWon = True records to avoid skewing the results.
B) Change the grain by removing the line level detail as it will skew the win rate.
C) Select the isWon = True outcome variable and generate the story.
D) Click Create Story and Einstein will take care of the rest.


5. A company wants to use Einstein Analytics to analyze the trend of their sales pipeline. The company wants to accelerate the sales process. To do so, they need to know the average time an opportunity spends in each stage. This value is not pre-calculated in Salesforce, so a consultant recommends using a dataflow to calculate it.
How can a dataflow be used to calculate the average time an opportunity spends in each stage?

A) computeRelative Transformation with offset parameter to calculate the duration
B) computeExpression Transformation with SAQL Expression to calculate the duration
C) computeRelative Transformation with SAQL Expression to calculate the duration
D) flatten Transformation with Offset Expressions to calculate the duration


Solutions:

Question # 1
Answer: A
Question # 2
Answer: B,C,E
Question # 3
Answer: A
Question # 4
Answer: D
Question # 5
Answer: C

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