Exam Details

  • Exam Code
    :TABLEAU-CRM-AND-EINSTEIN-DISCOVERY-CONSULTANT
  • Exam Name
    :Salesforce Certified Tableau CRM and Einstein Discovery Consultant
  • Certification
    :Salesforce Certifications
  • Vendor
    :Salesforce
  • Total Questions
    :211 Q&As
  • Last Updated
    :Mar 23, 2025

Salesforce Salesforce Certifications TABLEAU-CRM-AND-EINSTEIN-DISCOVERY-CONSULTANT Questions & Answers

  • Question 71:

    Exhibit:

    Which two statements can be determined based on the Why it Happened graphic above' Choose 2 answers

    A. Germany performs lower than average but better when the product is Call Center.

    B. The -2.2 Unexplained means there are effects that Einstein will never be able to explain regardless of the dataset.

    C. Call Center is a generally poor performing product, and since there is more in Germany that has a negative effect.

    D. Germany sells more Call Center product and that helps them increase their win rate.

  • Question 72:

    The model quality metrics of an Einstein Discovery story indicate that the GINI coefficient in the four folds are 0.82, 0.83, 0.84, and 0.75, respectively.

    Which two actions should a consultant take? Choose 2 answers

    A. Deploy the story, because the variation in the metrics is within the normal range.

    B. Confirm that the overall GINIcoefficient is good prior to deploying the story.

    C. Research and check the dataset for outliers in the target field and the main predictors that are shown on top of the story.

    D. Do not deploy the story immediately, and research why one fold is performingworse than the others.

  • Question 73:

    Why would you use the Actions menu in a chart?

    A. To expand the time period shown in a dashboard

    B. To rearrange widgets in dashboards

    C. To post to Chatter

    D. To create workoutplan for you and your team

  • Question 74:

    Default # rows in compare table.

    A. 1500

    B. 1000

    C. 3000

    D. 2000

  • Question 75:

    What happens if you first disable Analytics, and then you re-enable Analytics later? Select

    A. User permissions are removed from each defined permission set ifAnalytics is disabled.

    B. User permissions are not removed from each defined permission set if Analytics is disabled.

    C. You must define the permission sets again if Analytics is re-enabled.

    D. You must not define the permission sets again if Analytics is re-enabled.

  • Question 76:

    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 77:

    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. Andit has to be lowercase.

  • Question 78:

    An EinsteinAnalytics 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 79:

    The client is trying to create a SAQL step to predict sales in each sales region. They cannot get thequery to return any results, but have identified that the error is in the time series statement. They have asked an Einstein Consultant to review the following query and fix any errors.

    Which timeseries statement will fix the query'

    A. q = timeseries qgenerate 'sum_Sales' as Forecasted_Sales' with (dateCols=('Date_Year, Date_Quarter', "Y-Q"), partition=Region', ignoreLast=true);

    B. q = timeseries q generate 'sum_Sales' as Forecasted_Sales' with (Iength = 12, dateCols=('Date_Year', 'Date_Month". "Y-M"),partition='Region');

    C. q = timeseries q generate 'sum_Sales' as Torecasted_Sales' with (dateCols=('Date_Year', Date_Quarter', "Y-Q"), partition='Region', seasonality=4);

    D. q = timeseries q generate 'sum_Sales' as Torecasted_Sales' with (dateCols=('Date_Year', Date_Quarter', "Y-Q"), partition='Region');

  • Question 80:

    A company wants to build a webpage that displays KPIs that can be derived from values in datasets stored in Einstein Analytics. How can an Einstein Analytics consultant derive those KPIs from those datasets?

    A. Use the Analytics External Data API andleverage the "query" resource.

    B. Export the dataset as an XLS file and use the Einstein Analytics Connector for Excel.

    C. Use the Analytics REST API and leverage the -query" resource.

    D. Export the dataset as a CSV file and load it to an externaldatabase.

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