Which permission gives you view-only access to Analytics?
A. Manage Analytics
B. Use Analytics
C. None of above
D. Create and Edit Analytics Dashboard
正解:B
質問 2:
When deploying a model to an existing Prediction, w number should be considered"1
A. 10: Limit of number of models under a Prediction Definition.
B. 5: Limit of total number of Prediction Definitions.
C. 3: Limit of total number of Models.
D. 20: Limit of number of models under a Prediction Definition.
正解:A
質問 3:
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
正解:D
質問 4:
What is another name for the type of insight that examines how one variable explains variation of the outcome variable?
A. First-order analysis
B. Second-order analysis
C. Object-oriented analysis
D. Third-order analysis
E. Spectrum analysis
正解:A
質問 5:
A client has a dashboard for Sales Managers. They want to have a list filter that shows the name of the month. However, based on the "CloseDate_Month" field, the list filter shows numbers instead of names.
How can an Einstein Consultant use the Dataflow nodes to generate the name of month as a new dimension in the dataset?
A. append
B. compute Expression
C. flatten
D. compute Relative
正解:B
質問 6:
An Einstein Consultant is implementing encryption for a customer.
Which two statements about Einstein Analytics Encryption are true? Choose 2 answers
A. When Einstein Analytics Encryption is enabled, all newly registered datasets are encrypted at rest.
B. The customer's org must have a Shield Platform Encryption tenant secret.
C. Bring Your Own Key is not supported.
D. By default, the same keys are used to encrypt data in Einstein Analytics as are used to encrypt data in Salesforce objects.
正解:A,B
解説: (Pass4Test メンバーにのみ表示されます)
質問 7:
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. Yes. If the collinear variables are not removed, the Einstein Discovery model build will fail.
C. 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.
D. No. Einstein Discovery is impervious to collinearity, so the story and subsequent model will be fine.
正解:C
Watanabe -
ゼロから丁寧に解説されていて解りやすい。この1冊に詰まっています。ANC-201合格に必要な力を手に入れました。