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Download Building Lenses, Dashboards, and Apps in Tableau CRM Exam Dumps
NEW QUESTION 20
An Einstein Consultant is implementing encryption for a customer.
Which two statements about Einstein Analytics Encryption are true? Choose 2 answers
- A. By default, the same keys are used to encrypt data in Einstein Analytics as are used to encrypt data in Salesforce objects.
- B. Bring Your Own Key is not supported.
- C. When Einstein Analytics Encryption is enabled, all newly registered datasets are encrypted at rest.
- D. The customer's org must have a Shield Platform Encryption tenant secret.
Answer: C,D
Explanation:
Reference:
https://help.salesforce.com/articleView?id=bi_analytics_encryption.htmtype=5
NEW QUESTION 21
What are predictive insights good for?
- A. Exploring your existing data to see what already happened
- B. Predicting outcomes that you don't actually have the right data for
- C. Drilling down into the underlying reasons behind a prediction
- D. Choosing between all possible outcomes for a single variable
Answer: C
NEW QUESTION 22
A Tableau CRM consultant decides to use a recipe to create a new dataset.
Which two source types can be used for the recipe?
Choose 2 answers
- A. Existing datasets
- B. Dataset lens
- C. Connected data(Synced)
- D. Records from a Salesforce object
Answer: A,C
NEW QUESTION 23
When creating a story in Einstein Discovery, do all potential collinear fields need to be removed before executing the build story'5
- A. yes. If all collinear variables are not excluded, the model will over-fit and not make any sense.
- 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. No. Einstein Discovery is impervious to collinearity, so the story and subsequent model will be fine.
- D. Yes. If the collinear variables are not removed, the Einstein Discovery model build will fail.
Answer: B
NEW QUESTION 24
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