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Salesforce Tableau-CRM-Einstein-Discovery-Consultant Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Einstein Discovery | 12% | - Building models by assessing data and selecting prediction types (numeric, binary, multi-classification) - Enabling prediction features on Lightning record pages across Salesforce and CRM Analytics - Adjusting data parameters and adding/removing data or columns to improve models - Analyzing model results and proposing data improvements - Monitoring and interpreting Model Cards to improve or maintain model performance |
| Security | 16% | - Implementing security settings for users, groups, and profiles - App sharing based on user and group requirements - Dataset security settings using sharing inheritance and security predicates |
| Analytics Dashboard Design | 13% | - Creating dashboards following CRM Analytics best practices and UX design principles - Identifying appropriate use and configuration of standard CRM Analytics templated apps - Scoping, validating, and prioritizing dashboard design requirements |
| Administration | 16% | - SAQL query language for dashboard JSON and lens queries - Understanding recipes (Data Prep) for visual ETL interface - Managing CRM Analytics environment and configurations - Embedding analytics in Salesforce |
| Analytics Dashboard Implementation | 19% | - Developing selection/result interactions with different query types - Using advanced functionality such as windowing and time series analysis in compare tables - Configuring dashboards using accurate query types and widget-level parameters - Making dashboards actionable and accessible in Lightning pages - Implementing delivery management strategies using versioning and/or Dashboard Publisher - Monitoring and optimizing query performance using Dashboard Inspector |
| Data Layer | 24% | - Data transformation and loading into Einstein datasets - Dataflow configuration for multi-object scenarios - Data extraction from sources - Troubleshooting failed dataflow jobs - Understanding denormalized sequential datasets - Incremental sync configuration |
Salesforce Tableau CRM Einstein Discovery Consultant Sample Questions:
Question 1
Which three parameters are used in a compare table formula field to calculate and display a field as percentage value? Choose 3 answers
A. Calculation
B. Length
C. Column Color
D. Format
E. Column Name
Question 2
What are the 3 basic actions within a query in Analytics? Choose 3:
A. Grouping by a dimesnsion
B. Filter to narrow down your results.
C. Display the results graphically
D. Aggregate by a measure
E. Count rows by measure you want to visualize.
Question 3
Universal Containers reports that any selection in the List widget is not affecting the Pie chart in one of their Einstein Analytics dashboards. The step options associated with the List widget and Pie chart are shown in the graphic.
Which two changes can an Einstein Consultant implement to solve this issue, given that the steps are using the same dataset? Choose 2 answers
A. Use selection binding in the filters section of the step "Step_pie_1."
B. Enable the option "Apply filters from faceting" in the step "Region_1."
C. Use selection binding in the filters section of the step "Region_1."
D. Enable the option "Apply filters from faceting" in the step "Step_pie_1."
Question 4
What's the best way to describe the template-info.json file?
A. It's the boss of the template with all the information needed to create the app.
B. It's a read-only file with all the user documentation for a template.
C. It's automatically populated every time you create an app from the template.
D. It makes sure that the app includes all the right Salesforce data.
Question 5
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 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.
B. 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."
C. 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."
D. Create one custom app for the datasets and share it with marketing and sales as "viewer."
Solutions:
| Question 1 Answer: A,D,E | Question 2 Answer: A,B,D | Question 3 Answer: A,D | Question 4 Answer: A | Question 5 Answer: B |
