Tableau-CRM-and-Einstein-Discovery-Consultant Exam Dumps - Salesforce Tableau CRM Einstein Discovery Consultant (SU24)

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Question # 33

Number of queries per user per day

10,000

50,000

1,000

20,000

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Question # 34

After the initial creation of a story, the first story insight explains 93% of the variation of the outcome variable. This is unusual high?

What is the most likely multiple for this?

The dataset contains multiple dominant values.

The dataset contains too many rows.

The dataset used in the story suffers from too many outlier values.

The outcome variable is causing data leakage.

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Question # 35

Max story creations per org per day:

40 per org

40 per org per clay

20 per org

20 per org per clay

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Question # 36

A Senior Sales Business Analyst asks for a dashboard that contains fiscal year product opportunities. Information is maintained in a spreadsheet which is comprehensive, but its contents often need to be explained. After sketching the dashboard, the consultant is ready to start building.

Which concept should be applied to this dashboard?

Limit widget actions and exploration so users will focus only on the high-level information.

Use the different chart types to make the dashboard interesting and appealing.

Design the dashboard with the desktop in mind and use the same layout for mobile devices for consistency.

Use charts to help users ask questions, not illustrate a conclusion.

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Question # 37

A consultant created a dashboard using Einstein Analytics for her client, a shipping company. It sources data from very large datasets. Now the client has requested that the consultant add more steps to the dashboard.

To ensure that the dashboard has acceptable performance, what two actions should the consultant take? Choose 2 answers

Check if any steps can be reused for multiple purposes.

Replace AggregateFlex steps with SAQL steps.

Split the steps and charts into different pages in a dashboard.

Avoid using conditional formatting.

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Question # 38

A customer is reviewing a story that is set to maximize the daily sales quantity of consumer products in stores, and the customer sees chart related to promotional activities and to San Francisco specifically.

What conclusion can be drawn from this insight?

What conclusion can be drawn from this Insight?

Of all promotions types in San Francisco, sales were the highest using Display promotion.

Promotions increase sales stronger in San Francisco than they do in other cities.

The best promotion type is Display.

The Other stores (visualized with the gray bars) show no significant data for the sales promotions.

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Question # 39

You can configure access to data at all of the following levels, except:

Organization

Records

Page Layouts

Objects

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Question # 40

Exhibit:

A company wants to create a timeline chart to visualize the evolution of their Closed Won Opportunities. What are the required parameters to build a lens that displays output similar to the image shown?

2 measures, 0-2 groupings if trellis is disabled, or 0-4 groupings if trellis is enabled

1 measure, 1-2 groupings if trellis is disabled, or 1-4 groupings if trellis is enabled

1 measure, 1 grouping by a date field, and either 0-1 groupings by a dimension if trellis is disabled, or 0-2 groupings if trellis is enabled

1 measure, 0 groupings if trellis is disabled, or 0-2 groupings if trellis is enabled

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