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Tableau-CRM-and-Einstein-Discovery-Consultant – Salesforce Tableau CRM Einstein Discovery Consultant(WI23)

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Showing 1–3 of 15 questions

Question 1

In a dataset, there are multiple boolean fields. When displayed on any dashboard, the boolean fields should all be displayed in the same way: a value of true should result in the display of the word "Yes" in green; a value of false should result in the display of the word "No" in red.

In which two ways can this be accomplished? Choose 2 answers

Select all that apply, then click Submit answer.

  • ○

    Download the XMD for the dataset and change the values and color for the fields and then upload to the dataset.
  • ○

    In the explorer, select the boolean fields and use the "edit values" option on the fields to change values and colors.
  • ○

    Create an XMD node in the dataflow to change the label and color of the values in the fields.
  • ○

    In the explorer, select the boolean fields, then create a derived dimension that references the boolean fields, and then modify the values and colors of the derived dimension.
Question 2

What are two core design principles to consider when building Analytics apps or dashboards? Choose 2 answers

Select all that apply, then click Submit answer.

  • ○

    Emphasis: make sure they have space for important information, such as headlines and key charts.
  • ○

    Clarity: make sure they are uncluttered and easy to interpret.
  • ○

    Consistency: make sure they have a sense of familiarity to strengthen your users' ease of use.
  • ○

    Balance: make sure they have a balance of different charts to get a more interesting design.
Question 3

A consultant is asked to create a dashboard for sales to see the forecasted sales per product family. After gathering the requirements, the consultant decides to leverage the timeseries SAQL statement to predict sales.

Which two actions must be performed when writing the SAQL query?

Choose 2 answers

Select all that apply, then click Submit answer.

  • ○

    Determine if the timeseries required parameter, prediction interval, should be 80 or 95.
  • ○

    Investigate which prediction model is best for the data available.
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    Validate that there is enough data in the dataset to make a good prediction.
  • ○

    Include the fill SAQL statement to fill any missing dates.