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Salesforce Tableau-CRM-Einstein-Discovery-Consultant Exam Syllabus Topics:

Salesforce Tableau CRM Einstein Discovery Consultant Sample Questions:

1. A consultant built an Einstein Analytics app for the Sales Operations team. The team wants to share this app with other people at the company. The consultant recommends distributing the app as an Einstein Analytics template app.
In the process of creating the template, which role does the original Einstein Analytics app for the Sales Operation team play?

A) It is the master.
B) It is the target.
C) It is the instance.
D) It is the template.

2. A company asks a Tableau CRM consultant to review the performance of their local data sync.
After removing unused objects and fields from connected
data, what else can the consultant do to improve performance of data sync"*

A) Contact Salesforce support to Increase sync speed
B) Evaluate connection mode for each connected object
C) Enable fast sync in analytics settings
D) Merge synced objects

3. What can you change in a Compare Table formula column?

A) The formula and the name
B) The measure
C) The filters
D) The grouping

4. A Salesforce administrator wants to create a new dashboard that uses custom geoJSON to display data; however, the administrator is unable to upload the file via the UI.
What should be done?

A) Contact Salesforce support and request to get custom maps and geoJSON enabled for the org.
B) Add the system permission "Manage Analytics Custom Maps" to the permission set used.
C) Enable "Custom maps with geoJSON" in the analytics settings.
D) Upload the geoJSON via the API because it is not a function in the UI.

5. In Einstein Discovery:

A) 'Why It Happened' insights help you take a deeper look into the exact factors that led to an outcome. Why It Happened s/ Q insights drill deeper into the various factors that contributed to your story's goal. These insights are based on a statistical analysis of your dataset. Einstein Discovery uses waterfall charts to help you visualize Why It Happened insights.
B) 'What Happened' insights are the primary insights in your story. They are descriptive insights that help you explore, at an y/ Q overview level, what factors contributed to the outcome, based on a statistical analysis of your dataset. .Einstein Discovery uses bar charts to help you visualize What Happened insights.
C) 'What Is The Difference' insights are comparative insights that help you better understand the relationships between explanatory variables and the goal (target outcome variable) in your story. These insights, based on a statistical analysis of your dataset, help you figure out which factors contribute to the biggest changes in the outcome variable. Einstein Discovery uses waterfall charts to help you visualize comparisons in What Is The Difference insights.
D) 'Predictions and Improvements' insights help you explore what might happen in the future. For example, you can interactively perform "what if analyses in your story. Einstein Discovery provides you with predictions and suggested improvements based on a statistical analysis of your dataset and predictive analytics. To help you visualize these insights, Einstein Discovery uses:
- waterfall charts for predictions
- bar charts for suggested improvements

Solutions: