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 141:

    Yasmine told Danielle she's interested in using the artificial intelligence provided by Einstein Discovery to enhance analysis Mosaic probably wouldn't have considered through their own means. How can Danielle use Einstein Analytics to load data into Einstein Discovery?

    A. It's not possible. Danielle will need to log into Einstein Discovery and import the data from there.

    B. Danielle needs a permission set containing the Download Analytics Data permission, then she can use the Export node to load data into Einstein Discovery.

    C. Danielle needs a permission set containing the Upload External Data to Analytics permission, then she can log into Einstein Discovery and import the data from there.

    D. Data loaded into Einstein Analytics as datasets can then be used in Einstein Discovery without a separate load process.

  • Question 142:

    An Einstein Analytics team wants to create a dashboard using two standard Salesforce objects. The dashboard should display data from the Case object, along with related data from the Account object. Which two processes can achieve this?

    A. Extract data from the case and account objects using "sfdcDigest" transformation, Q use "append" transformation to add case data with account data, store as a dataset, and then build a dashboard using the generated dataset

    B. Extract data from the case and account objects using an ETL tool, use the ETL tool to y/ Q join account and case data, and then upload the data to Einstein Analytics. Build a dashboard using the ETL generated dataset

    C. Extract data from the case and account objects using "sfdcDigest" transformation, y/ Q use "augment" transformation to add case data with account data, store as a dataset, and then build a dashboard using the generated dataset

    D. Extract data from the case and account objects using "dataloader", create a CSV file Q with account and case data, and then upload the CSV as a dataset to Einstein Analytics. Build a dashboard using that dataset

  • Question 143:

    Which chart type is best suited to track progress of sales revenue that is realized versus the target?

    A. Bar chart

    B. Flat gauge

    C. Pivot table

    D. Pie chart

  • Question 144:

    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 145:

    In the list of insights, the first insights that you see are the ones that explain, statistically, the most variation in the outcome variable. The insights that appear later, as you scroll through the story, explain variables that, statistically, account for less of the variation in the outcome variable.

    When you select one variable, what are you comparing?

    A. Selected variable with CLV

    B. Selected variable average with the mean

    C. Selected variable with a different variable

    D. Selected variable average with the filtered average

    E. Selected variable with all story data

  • Question 146:

    What can you change in a Compare Table formula column?

    A. The filters

    B. The measure

    C. The grouping

    D. The formula and the name

  • Question 147:

    Which of these standard deviations is for a curve that has values that are the most spread out away from the average?

    A. 8

    B. 1

    C. 4

    D. 16

  • Question 148:

    Default # rows in compare table.

    A. 1500

    B. 1000

    C. 3000

    D. 2000

  • Question 149:

    Why are insights in the Unrelated category important?

    A. They explain everything about the outcome.

    B. They aren't important. Hence the name, Unrelated.

    C. They explain how interaction terms affect the outcome.

    D. The outcome might not have much to do with related variables. It might have more to do with global effects.

  • Question 150:

    What can you do in a dataset recipe?

    A. Extract external data into Analytics

    B. Build a dashboard

    C. Combine data from different datasets

    D. Make a data chili

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