Pass Salesforce Einstein Prediction Builder Accredited Professional Exam with New Einstein Prediction Builder Accredited Dumps

1. What concept in the Einstein Prediction Builder architecture best fits this description? The set of records for which Einstein calculates values of a given field.

2. Can users creating a predition take fields of the chosen object out of consideration by the prediction?

3. What could be a solution is the data checker reports that too few records have been selected?

4. Even a disabled prediction cannot be edited, it must be cloned instead.

5. Which of the following is a reason to disable instead of delete a prediction?

6. Which fields of the chosen object are automatically excluded when generating a prediction?

7. Which element of the Prediction Scorecard is described here? The relationship, positive or negative, between a predictor and the field being predicted.

8. What concept in the Einstein Prediction Builder architecture best fits this description? A division of a sub-group of records within an object that will be used to calculate and predict the desired business question.

9. You can’t edit predictions in Enabled or Pending status.

10. What would be a downside to cloning a prediction previously created instead of editing it?

11. In which case is required to clone and edit the new prediction instead of edit the original version?

12. What is the first step in generating a prediction with Einstein Prediction Builder?

13. Can Predictions be Cloned?

14. For which sub-segment of records can´t Einstein calculate scores?

15. Which element of the Prediction Scorecard is described here? The relationship, positive or negative, between a predictor and the field being predicted.

16. Which of the following CANNOT be done by editing a prediction?

17. For what type of score field would Einstein use this model type: Logistic Regression

18. Let´s Review Einstein Prediction Builder Terminology: Fields that affect the score result of a prediction.

19. Let´s Review Einstein Prediction Builder best practices: in which cases can two objects be selected to generate a common dataset?

20. In which case is required to clone and edit the new prediction instead of edit the original version?

21. Is Einstein Prediction Builder able to generate predictions for all standard objects?

22. Must predictions be enabled once created or will they become active by default?

23. Let´s Review Einstein Prediction Builder best practices: should a prediction be cloned when the only requirement is to change its name?

24. When building a prediction using Einstein Prediction Builder, you can select and deselect fields of data to include in the predictive model. By default, all fields are selected.

25. Disabling a prediction will allow users to edit it.

26. You can use Einstein Prediction Builder to predict custom formula fields and checkboxes, such as the likelihood that a deal closes, or the likelihood that year-over-year growth is greater than last year.

27. Let´s Review Einstein Prediction Builder functionality: what range of values can the "Impact" of predictor take in the scorecard?

28. Let´s Review Einstein Prediction Builder Terminology: What does it mean when a predictor has a correlation with a negative sign?

29. Will the einstein element give information about only the possitve predictors in a record score or also those that negativelly affected the score?

30. What could be a solution is the data checker reports that too few records have been selected?

31. Which of the following CANNOT be done by editing a prediction?

32. Which of the following fields should be excluded of a prediction meant to answer the following question:

"Likelihood of late return of their books to the library".

33. For what type of score field would Einstein use this model type: Random Forest

34. By default which records will make up the Example Set?

35. If you’re predicting a number field that defaults to 0, you can still use all records as examples since Einstein Prediction will assume them to be null values instead of the number zero, thereby not compromising the quality of the calculation.