Salesforce Consultant Tableau-CRM-and-Einstein-Discovery-Consultant Full Course Free

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Question 60

What is an appropriate response when a client is disappointed that Einstein Discovery only detected patterns that were already known?

Options:

Remind them that the technology is only as good as the data.

Advise them that the use case may not be accurate.

Highlight that Einstein reduces time to insight, which is much faster than learning from experience.

Recommend using a visualization tool, like Einstein Analytics, to uncover the details.

Question 61

Universal Containers has a dashboard for Sales Managers. They need the ability to visualize the number of Closed Won opportunities by month, quarter, or year, and then display the result in a single chart. An Einstein Consultant created a static step to display three values: ClosedDate_month, ClosedDate_quarter, and ClosedDate_year.

What should the consultant do next?

Options:

Use nested binding to update the grouping in the chart.

Use selection binding to update the measure in the chart.

Use result binding to update the measure in the chart.

Use selection binding to update the grouping in the chart.

Question 62

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

Options:

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 63

A consultant wants to understand what the important predictors are in the story.

What are two places where this information can be found?

Choose 2 answers

Options:

In the Einstein Recommendations for story improvement. If there are no recommendation to remove strongest predictors, the story doesn’t hold any Important predictors but only weak (probably unrelated) terms.

In the Story Settings, where the strength of predictor fields is calculated and visualized. The consultant can sort the list of predictor fields accordingly.

In the Model Deployment Wizard while selecting the actionable fields

In the Model Metrics section, where the top predictors are listed