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| Section | Weight | Objectives |
|---|---|---|
| Einstein Discovery | 12% | - 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 - Building models by assessing data and selecting prediction types (numeric, binary, multi-classification) - Monitoring and interpreting Model Cards to improve or maintain model performance |
| Data Layer | 24% | - Understanding denormalized sequential datasets - Dataflow configuration for multi-object scenarios - Troubleshooting failed dataflow jobs - Incremental sync configuration - Data extraction from sources - Data transformation and loading into Einstein datasets |
| 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 |
| Security | 16% | - App sharing based on user and group requirements - Implementing security settings for users, groups, and profiles - Dataset security settings using sharing inheritance and security predicates |
| Administration | 16% | - Embedding analytics in Salesforce - SAQL query language for dashboard JSON and lens queries - Managing CRM Analytics environment and configurations - Understanding recipes (Data Prep) for visual ETL interface |
| Analytics Dashboard Implementation | 19% | - Using advanced functionality such as windowing and time series analysis in compare tables - Monitoring and optimizing query performance using Dashboard Inspector - 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 - Developing selection/result interactions with different query types |
At present, the Tableau-CRM-Einstein-Discovery-Consultant exam requires a passing score of 65% and costs USD 200 to register. Salesforce controls both figures, so confirm them on the official site before you book.
The latest exam information lists 60 questions for the Tableau-CRM-Einstein-Discovery-Consultant exam, to be completed in 105 minutes minutes. Rehearsing under these conditions in the online engine is the closest thing to sitting the real test.
The Salesforce Tableau CRM Einstein Discovery Consultant blueprint is organized into these principal domains:
Additional domains follow in the full official outline, and our bank spans them all.
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Salesforce specifies the following prerequisites for the Salesforce Tableau CRM Einstein Discovery Consultant: No formal prerequisites, but recommended to have experience with CRM Analytics implementation.
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An Einstein consultant created a dashboard that went through review. Some few charts were added and removed in the process. The dashboard is now approved for production.
Which best practice should be done before releasing the dashboard?
Correct Answer: A 🗳️
Explanation: Only visible for ValidTorrent members. You can sign-up / login (it's free).
What are two benefits of designing using the "Progressive Disclosure" principle? Choose 2 answers
Correct Answer: A,B 🗳️
Explanation: Only visible for ValidTorrent members. You can sign-up / login (it's free).
A company created a dataset called myExternalDataset. It contains a dimension, called UserRegion, that is populated by the standard User object's picklist: Region.
The company has security requirements for this dataset:
1. Only a subset of users should be able to access the dataset.
2. Users who can access the dataset should see only data that belongs to their region.
In which two ways can an Einstein Analytics consultant help them implement these requirements? Choose 2 answers
Correct Answer: A,D 🗳️
A consultant has been brought in to help increase the adaption of Tableau CRM. It has been identified that account managers are struggling to get an overview of their accounts before meeting with them. Ideally they would like to have key details highlighted about active cases and opportunities, opportunity value and product whitespace.
What can the consultant do to increase adoption?
Correct Answer: D 🗳️
Max Analytics API calls per user per hour
Correct Answer: D 🗳️
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