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Salesforce Tableau-CRM-Einstein-Discovery-Consultant Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: 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 |
| Topic 2: Security | 16% | - Dataset security settings using sharing inheritance and security predicates - Implementing security settings for users, groups, and profiles - App sharing based on user and group requirements |
| Topic 3: Analytics Dashboard Implementation | 19% | - Implementing delivery management strategies using versioning and/or Dashboard Publisher - Making dashboards actionable and accessible in Lightning pages - Monitoring and optimizing query performance using Dashboard Inspector - Configuring dashboards using accurate query types and widget-level parameters - Developing selection/result interactions with different query types - Using advanced functionality such as windowing and time series analysis in compare tables |
| Topic 4: Administration | 16% | - SAQL query language for dashboard JSON and lens queries - Embedding analytics in Salesforce - Understanding recipes (Data Prep) for visual ETL interface - Managing CRM Analytics environment and configurations |
| Topic 5: Einstein Discovery | 12% | - Building models by assessing data and selecting prediction types (numeric, binary, multi-classification) - Monitoring and interpreting Model Cards to improve or maintain model performance - 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 |
| Topic 6: Data Layer | 24% | - Troubleshooting failed dataflow jobs - Data transformation and loading into Einstein datasets - Dataflow configuration for multi-object scenarios - Incremental sync configuration - Understanding denormalized sequential datasets - Data extraction from sources |
Salesforce Tableau CRM Einstein Discovery Consultant Sample Questions:
1. The Tableau CRM team at a company has created three dataflows.
myDataflowOne: this dataflow tasks 2 hours to run.
myDataflowOne: this dataflow tasks 1 hours and 30 minutes to run
myDataflowOne: this dataflow tasks 1 minute and 30 seconds to run.
If all three dataflows run, how many count towards the limit?
A) 1
B) 3
C) 2
D) 0
2. What's a good way to see which required questions in the configuration wizard don't have default values?
A) Download the app and run a SAQL query on the JSON
B) Try each option in the dropdown one at a time
C) Click "Looks good, next" and look for questions highlighted in red
D) Answer only questions that involve custom objects
3. An Einstein Analytics Consultant is working with a subscriptions based company to build a dashboard to understand customer renewals. Each subscription is captured as a Closed Won Opportunity within Salesforce Unfortunately the Opportunity record does not specify whether it is a renewal or a net new subscription.
Which data transformation should be used to determine if a subscription is new or a renewal?
A) flatten
B) ComputeRelative
C) Augment
D) ComputeExpression
4. To use the Sales Analytics app, which permission set license do you need?
A) Sales Analytics Apps
B) Sales Wave
C) Analytics Templated Apps
D) Security User
5. What are the two types of bindings? Choose 2:
A) Results binding
B) Selections bindings
C) Data bindings
D) Description bindings
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: C | Question # 3 Answer: A | Question # 4 Answer: A | Question # 5 Answer: A,B |
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