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NEW QUESTION 50
Which statement best describes how to ensure Einstein Analytics dashboards are easily used across both desktop and mobile devices?
- A. Create a single layout and reorder all the widgets so that they fit nicely when viewing on either device.
- B. Create multiple layouts, ensure the layout selectors match the device, and resize/hide widgets as necessary to ensure the content is appropriate for the device screen size.
- C. Create multiple layouts, and reorder all the widgets so that they fit nicely within the new default width.
- D. Create a single layout and allow Einstein Analytics to automatically organize dashboard contents to be optimal for the device type.
Answer: B
NEW QUESTION 51
Which chart type is suitable for rendering five measures in a lens visualization?
- A. Stacked Bar chart
- B. Scatter chart
- C. Metric Radar chart
- D. Treemap chart
Answer: B
NEW QUESTION 52
What is another name for the type of insight that examines how one variable explains variation of the outcome variable?
- A. Second-order analysis
- B. First-order analysis
- C. Object-oriented analysis
- D. Spectrum analysis
- E. Third-order analysis
Answer: B
NEW QUESTION 53
In an org, some of the Activity records do not have related Opportunity records. Additionally, there are Opportunity records that do not have related Activity records.
Which SAQL statement will fetch all Opportunities, even if they don't have associated Activities, and fetch related Activity data, if it exists?
- A. q = cogroup Opportunity by 'Id', Activities by 'Opportunityld' left;
- B. q = cogroup Opportunity by 'Id' left, Activities by 'Opportunityld';
- C. q = cogroup Opportunity by 'Id' right, Activities by 'Opportunityld';
- D. q = cogroup Opportunity by 'Id', Activities by 'Opportunityld';
Answer: A
NEW QUESTION 54
A dataset for building the Einstein Discovery story contains 72 fields that are potentially relevant predictors.
Which approach is considered best practice to assess the top predictors in order to get to a meaningful and robust model?
- A. This dataset is too big and cannot be used in Einstein Discovery. Request a new dataset with fewer predictors.
- B. Go back to the data preparation and reduce the number of fields to less than 30 in order to produce a story.
- C. Build a story with a first set of predictors and assess which predictors are important to the story. Then drop the less important ones and add the predictors that were omitted in the first run and assess their impact.
- D. Build the story with all the predictors and indicate that Einstein Discovery should show the top predictors.
Answer: C
NEW QUESTION 55
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