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
    :Mar 30, 2025

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

  • Question 131:

    What do you have to assign to users before they can access Analytics?

    A. Analytics permission set license (PSL)

    B. Permission set with at least one Analytics user permission

    C. Username and password

    D. A and B

    E. B and C

  • Question 132:

    How do you create a regression timeseries?

    A. In SAQL, use the timeseries function with the following arguments: Partition (the group_by piece), Seasonality (set to 12 to get yearly seasonality).

  • Question 133:

    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.

    Option A

    B.

    Option B

    C.

    Option C

    D.

    Option D

  • Question 134:

    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 135:

    A consultant is asked to create a dashboard for sales to see the forecasted sales per product family. After gathering the requirements, the consultant decides to leverage the timeseries SAQL statement to predict sales.

    Which two actions must be performed when writing the SAQL query?

    Choose 2 answers

    A. Determine if the timeseries required parameter, prediction interval, should be 80 or 95.

    B. Investigate which prediction model is best for the data available.

    C. Validate that there is enough data in the dataset to make a good prediction.

    D. Include the fill SAQL statement to fill any missing dates.

  • Question 136:

    Maximum concurrent API Analytics calls per org

    A. 200

    B. 500

    C. 100

    D. 50

  • Question 137:

    How do you post to Chatter from a Sales Wave dashboard?

    A. Open the Actions menu for an opportunity or account and select Post

    B. Select Post to Chatter from the Actions drop-down at the top of the dashboard

    C. Right click any bar and type your message

    D. Send an email to a team member with "chatter:" in the subject line

  • Question 138:

    Refer to the graphic.

    Which conclusion can be made regarding the strength of the model shown?

    A. The model is very strong. A GINI coefficient of .535 shows that this model is very effective.

    B. The model is pretty good; the accuracy rating of .7597 means we can predict both wins and losses at a fairly high rate.

    C. The strength of the model cannot be determined with the metrics shown.

    D. The model is very weak and doesn't provide useful predictions due to the low threshold.

  • Question 139:

    When creating a story in Einstein Discovery, do all potential collinear fields need to be removed before executing the build story'5

    A. No. Einstein Discovery is impervious to collinearity, so the story and subsequent model will be fine.

    B. No. Although it is ideal to eliminate collinearity as soon as possible, Einstein will give a warning post-build and the ridge regression will prevent collinearity from over-fitting.

    C. yes. If all collinear variables are not excluded, the model will over-fit and not make any sense.

    D. Yes. If the collinear variables are not removed, the Einstein Discovery model build will fail.

  • Question 140:

    What is a keyword in SAQL? And what case must it be in?

    A. A keyword is basically just a function in SAQL, like group, foreach, etc. And it has to be lowercase.

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