Exam Details

  • Exam Code
    :ANC-301
  • Exam Name
    :Working with Data and Dashboards in Einstein Analytics
  • Certification
    :Salesforce Certifications
  • Vendor
    :Salesforce
  • Total Questions
    :209 Q&As
  • Last Updated
    :Apr 08, 2025

Salesforce Salesforce Certifications ANC-301 Questions & Answers

  • Question 181:

    What are Einstein Analytics prebuilt permission sets? Select 2:

    A. Einstein Analytics Platform Admin

    B. Einstein Analytics Platform User

    C. Einstein Analytics

    D. Einstein Analytics Superadmin

  • Question 182:

    In the Insights list, insights are ranked in what order?

    A. Time

    B. Geospatial

    C. Statistical significance

    D. Alphabetical

    E. There is no order

  • Question 183:

    Refer to the graphic.

    Einstein found a recommendation to improve the story: apparently there are two variables that behave the same. Given there is no additional information, what is the correct action?

    A. Retain Promotion; it is an actionable variable and without it, we cannot recommend prescriptive actions.

    B. Cancel this story and redefine the dataset.

    C. Retain Amount; not knowing the size of a deal makes it hard to predict if will be won.

    D. Do nothing; they appear to be similar, but there might be differences from the business perspective.

  • Question 184:

    A Senior Sales Business Analyst asks for a dashboard that contains fiscal year product opportunities. Information is maintained in a spreadsheet which is comprehensive, but its contents often need to be explained. After sketching the dashboard, the consultant is ready to start building.

    Which concept should be applied to this dashboard?

    A. Limit widget actions and exploration so users will focus only on the high-level information.

    B. Use the different chart types to make the dashboard interesting and appealing.

    C. Design the dashboard with the desktop in mind and use the same layout for mobile devices for consistency.

    D. Use charts to help users ask questions, not illustrate a conclusion.

  • Question 185:

    What are the steps in the data exploration process?

    A. View, Explore, Refine, Save, Share

    B. View, Explore, Reduce, Save, Share

    C. Download, View, Refine, Save, Share

  • Question 186:

    Why would you use a merge key in a dataset recipe?

    A. To find out what the merge icons represent in a dataset

    B. To schedule when a dataset recipe runs

    C. To join related data from different sources

    D. To deal with duplicate records

  • Question 187:

    An Einstein Consultant is reviewing the "Why it Happened" Insights provided by Einstein Discovery with the customer. The customer would like to validate the results. Which action should the consultant take?

    A. Show the customer how to export and review the R-Code model validation results

    B. Check the p-values and standard deviation

    C. Use the Share and Export feature to help the customer determine if the findings make logical sense

    D. Consult with a Data Scientist to validate the findings

  • Question 188:

    A Salesforce administrator wants to create a new dashboard that uses custom geoJSON to display data; however, the administrator is unable to upload the file via the UI.

    What should be done?

    A. Add the system permission "Manage Analytics Custom Maps" to the permission set used.

    B. Enable "Custom maps with geoJSON" in the analytics settings.

    C. Upload the geoJSON via the API because it is not a function in the UI.

    D. Contact Salesforce support and request to get custom maps and geoJSON enabled for the org.

  • Question 189:

    What kind of insight is "What Is The Difference"?

    A. Descriptive

    B. Diagnostic

    C. Predictive

    D. Prescriptive

    E. Selective

  • Question 190:

    A dataset is ready for analysis in Einstein Discovery.

    What is the first step a consultant should take after the data is loaded?

    A. Identify data types and define the appropriate data as numeric.

    B. Analyze data columns and decide which, if any, to drop.

    C. Produce a graph of the data to analyze.

    D. Load the data into Einstein Analytics

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