Salesforce Tableau-CRM-Einstein-Discovery-Consultant Valid Q&A - in .pdf

  • Tableau-CRM-Einstein-Discovery-Consultant pdf
  • Exam Code: Tableau-CRM-Einstein-Discovery-Consultant
  • Exam Name: Salesforce Tableau CRM Einstein Discovery Consultant
  • Updated: Aug 03, 2026
  • Q & A: 244 Questions and Answers
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  • Q & A: 244 Questions and Answers
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  • Exam Code: Tableau-CRM-Einstein-Discovery-Consultant
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  • Q & A: 244 Questions and Answers
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Tableau-CRM-Einstein-Discovery-Consultant valid test

Salesforce Tableau-CRM-Einstein-Discovery-Consultant Exam Syllabus Topics:

SectionObjectives
Topic 1: Data Preparation and Dataflows- Data Preparation Tools
  • 1. Recipes and dataflows usage
    • 2. Data transformation logic
      Topic 2: Analytics Dashboarding- Lenses and Dashboards
      • 1. Lens exploration and visualization types
        • 2. Creating and configuring dashboards
          Topic 3: Security and Access- Row-Level Security
          • 1. Security predicates and sharing inheritance
            Topic 4: Data Layer and Data Management- Data Modeling and Data Sources
            • 1. Data ingestion and transformation concepts
              • 2. Understanding CRM Analytics datasets
                Topic 5: Einstein Discovery- Predictive Modeling Concepts
                • 1. Insights and recommendations
                  • 2. Story creation and interpretation

                    Salesforce Tableau CRM Einstein Discovery Consultant Sample Questions:

                    1. A consultant built an Einstein Analytics app for the Sales Operations team. The Sales Operations team wants to share their app with other people at the company. The consultant recommends distributing the app as an Einstein Analytics template app.
                    A set of JSON files will be generated after a template is created from the Sales Operations app. What is the name of the JSON file that manages template metadata and all other template elements'

                    A) template-info.json
                    B) template-to-app-rules.json
                    C) aster- info.j son
                    D) ui.json


                    2. What are the 3 basic actions within a query in Analytics? Choose 3:

                    A) Display the results graphically
                    B) Count rows by measure you want to visualize.
                    C) Filter to narrow down your results.
                    D) Aggregate by a measure
                    E) Grouping by a dimesnsion


                    3. The Universal Containers Einstein Analytics team built a dashboard with two widgets:
                    1. List widget associated to the step "Type_2" and grouped by the dimension "Type" (multi-selection)
                    2. Pie chart widget associated to the step "Step_pie_3" and grouped by the dimension "Type" The team wants to use bindings so any selection in the List widget will filter the Pie chart.
                    Additional notes:
                    * The steps use different datasets.
                    * Users should be able to choose more than one Type (multi-selection).
                    What is the right syntax for the binding?

                    A)

                    B)

                    C)

                    D)


                    4. After getting approval of the dashboard layout design for a desktop, the Einstein Analytics consultant is ready to start the design process for a mobile layout.
                    What are three considerations that the consultant should keep in mind when developing the layout? Choose 3 answers

                    A) There are widgets that cannot be displayed on mobile layouts.
                    B) If no layouts are eligible for the mobile device, an error message will be displayed.
                    C) If more than one layout is eligible, the one with the most device properties set is used. If there is a tie, the most recently defined layout is used. (Missed)
                    D) If no layouts are eligible for the mobile device, the first defined layout is used. (Missed)
                    E) A layout for mobile is eligible for use when the device meets all the device properties set in the Layout panel.


                    5. A dataset for building the Einstein Discovery story contains 72 fields that are potentially relevant predictors.
                    Which approach is considered best practice to assess the top predictors in order to get to a meaningful and robust model?

                    A) Build a story with a first set of predictors and assess which predictors are important to the story. Then drop the less important ones and add the predictors that were omitted in the first run and assess their impact.
                    B) Build the story with all the predictors and indicate that Einstein Discovery should show the top predictors.
                    C) This dataset is too big and cannot be used in Einstein Discovery. Request a new dataset with fewer predictors.
                    D) Go back to the data preparation and reduce the number of fields to less than 30 in order to produce a story.


                    Solutions:

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

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