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Salesforce Tableau-CRM-Einstein-Discovery-Consultant Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Administration | 9% | - Performance optimization - Deployment and change management - Platform configuration and provisioning |
| Topic 2: Security | 11% | - Row-level security and sharing - User permissions and access control - Data encryption and governance |
| Topic 3: Tableau CRM Dashboard Implementation | 18% | - Embedded analytics - SAQL and query logic - Lens and dashboard building |
| Topic 4: Einstein Discovery Story Design | 19% | - Data preparation for modeling - Deploying results to Salesforce - Model creation and evaluation - Interpreting insights and predictions |
| Topic 5: Data Layer | 24% | - Data ingestion and synchronization - Dataset management and transformation - Dataflows and recipes - Schema design and optimization |
| Topic 6: Tableau CRM Dashboard Design | 19% | - Mobile optimization - Interactive design and bindings - Visualization best practices |
Salesforce Tableau CRM Einstein Discovery Consultant Sample Questions:
Question 1
In the Insights list, insights are ranked in what order?
A. Statistical significance
B. Geospatial
C. Time
D. Alphabetical
E. There is no order
Question 2
A consultant built an Einstein Analytics dashboard for a shipping company. The dashboard displays data from several data sources- The consultant enabled data sync (replication) to increase the speed of data refreshing from these sources.
What is the maximum number of dataflow definitions available in this situation?
A. 35
B. 25
C. 45
D. 30
Question 3
A client has two datasets that are used across seven different dashboards. Three of these dashboards are used by marketing and four are used by sales. The client requires that only marketing can access the marketing dashboards and only sales can access the sales dashboards.
What solution should be recommended?
A. Create three custom apps: one for marketing dashboards with marketing as "viewer," one for sales dashboards with sales as
"viewer," and one for datasets where marketing and sales are "viewer."
B. Duplicate the datasets and create two custom apps: one for marketing dashboards and datasets with marketing as "editor" and one for sales dashboards and datasets with sales as "editor."
C. Create two custom apps: one for marketing dashboards with marketing as "viewer" and one for sales dashboards with sales as
"viewer." Add the datasets as references to both custom apps.
D. Create one custom app for the datasets and share it with marketing and sales as "viewer."
Question 4
Why is it important to prepare the data in a CSV file before you bring it into Analytics?
A. To add currency symbols to numeric fields
B. To make sure Analytics can set the field type correctly
C. To remove column headers
D. To make sure the content is interesting
Question 5
A customer wants to change the default blue color on a bar chart. What is the easiest way to change blue to another color?
A. Use bindings to specify a color per bar.
B. Use conditional formatting under the bar chart widget properties by selecting the dimension.
C. Create a compare table formula to specify a hidden metric for coloring purposes.
D. Use conditional formatting under the bar chart widget properties by selecting the measure.
Solutions:
| Question 1 Answer: A | Question 2 Answer: D | Question 3 Answer: A | Question 4 Answer: B | Question 5 Answer: D |
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