EINSTEIN-ANALYTICS-AND-DISCOVERY-CONSULTANT Exam Details

  • Exam Code
    :EINSTEIN-ANALYTICS-AND-DISCOVERY-CONSULTANT
  • Exam Name
    :Salesforce Certified Einstein Analytics and Discovery Consultant
  • Certification
    :Salesforce Certifications
  • Vendor
    :Salesforce
  • Total Questions
    :209 Q&As
  • Last Updated
    :Feb 28, 2026

Salesforce EINSTEIN-ANALYTICS-AND-DISCOVERY-CONSULTANT Online Questions & Answers

  • Question 151:

    In a dataset, there are multiple boolean fields. When displayed on any dashboard, the boolean fields should all be displayed in the same way: a value of true should result in the display of the word "Yes" in green; a value of false should result in the display of the word "No" in red.

    In which two ways can this be accomplished? Choose 2 answers

    A. Download the XMD for the dataset and change the values and color for the fields and then upload to the dataset.
    B. In the explorer, select the boolean fields and use the "edit values" option on the fields to change values and colors.
    C. Create an XMD node in the dataflow to change the label and color of the values in the fields.
    D. In the explorer, select the boolean fields, then create a derived dimension that references the boolean fields, and then modify the values and colors of the derived dimension.

  • Question 152:

    In what order does Einstein Discovery present the insights that it uncovers?

    A. Alphabetical, in ascending order
    B. Alphabetical, in descending order
    C. Insights that explain the most variation in the outcome variable, in ascending order
    D. Insights that explain the most variation in the outcome variable, in descending order

  • Question 153:

    A large company is rolling out Einstein Analytics to their field sales. They have a well-defined role hierarchy where everyone is assigned to an appropriate node on the hierarchy.

    An individual Sales rep should be able to view all opportunities that she/he owns or as part of the account team or opportunity team. The Sales Manager should be able to view all opportunities for the entire Sales team. Similarly, the Sales

    Vice President should be able to view opportunities for everyone who rolls up in that hierarchy.

    The opportunity dataset has a field called 'Ownerld' which represents the opportunity owner.

    Given this information, how can an Einstein Consultant implement the above requirements?

    A. As part of the dataflow, use the flatten operation on the role hierarchy and create a multivalue attribute called 'ParentRolelDs' on the opportunity dataset and apply following security predicate: 'ParentRolelDs' == "$User.UserRoleId" andand 'Ownerld' == "SUser.Id".
    B. As part of the dataflow, use computeExpression on the Roleld field to create an attribute called 'ParentRolelDs' on the opportunity dataset and apply following security predicate: 'ParentRolelDs' == "$User.UserRoleId" || 'Ownerld' == "$User.Id".
    C. As part of the dataflow, use computeRelative on the Roleld field to create an attribute called 'ParentRolelDs' on the opportunity dataset and apply following security predicate: 'ParentRolelDs' == "$User.UserRoleId" || 'Ownerld' == "$User.Id".
    D. As part of the dataflow, use the flatten operation on the role hierarchy and create a multivalue attribute called 'ParentRolelDs' on the opportunity dataset and apply following security predicate: 'ParentRolelDs' == "$User.UserRoleId" || TeamMember.Id' == "$User. Id" || 'Ownerld' == "SUser.Id".

  • Question 154:

    What is the order of filter, limit, order and offset functions in SAQL?

    A. Filter and order can be interchanged. Offset must be after filter/order and limit must come after offset.

  • Question 155:

    A large company has a single dataset that contains the attainment and commission fields for all sales reps. Each sales rep should be able to view the attainment data for each rep in their division. Each rep should only be able to see their own commission data.

    Which option should be used to enforce this requirement?

    A. Create separate datasets for attainment and commission and apply security predicates and/or sharing inheritance.
    B. Apply a security predicate on the existing single dataset.
    C. Use sharing inheritance.
    D. Add the sales organization to the attainment dataset access list.

  • Question 156:

    Concurrent queries per user?

    A. 20
    B. 50
    C. 10
    D. 25

  • Question 157:

    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 158:

    A consultant is working with the client to define goals and metrics for an app that will be built. The consultant decides to base the dashboards on personas and is in the design phase prior to starting the actual build. Which two design considerations should be determined at this time? Choose 2 answers

    A. Which fonts to use for headers and body text
    B. Which charts to use to best support the defined goal
    C. How many charts should be allowed on a single dashboard
    D. Which colors to use and how to use them

  • Question 159:

    A consultant is asked to configure a user to view a dashboard, within a designated app, without the ability to create and save lenses. After adding the user to the app, which action should the consultant take to implement this requirement?

    A. Assign the Editor role to the user.
    B. Assign the Viewer role to the user.
    C. Ensure the user has the Use Analytics permission.
    D. Assign the Manager role to the user.

  • Question 160:

    How many external files can be uploaded to Einstein Analytics on rolling 24 hour basis?

    A. 100 files per dataset
    B. 300 files per dataset
    C. 500 files per dataset
    D. 50 files Per dataset

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