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Salesforce Tableau-CRM-Einstein-Discovery-Consultant Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Security | 16% | - Dataset security settings using sharing inheritance and security predicates - App sharing based on user and group requirements - Implementing security settings for users, groups, and profiles |
| Topic 2: 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 |
| Topic 3: Analytics Dashboard Design | 13% | - Creating dashboards following CRM Analytics best practices and UX design principles - Scoping, validating, and prioritizing dashboard design requirements - Identifying appropriate use and configuration of standard CRM Analytics templated apps |
| Topic 4: Einstein Discovery | 12% | - Monitoring and interpreting Model Cards to improve or maintain model performance - Building models by assessing data and selecting prediction types (numeric, binary, multi-classification) - Analyzing model results and proposing data improvements - Adjusting data parameters and adding/removing data or columns to improve models - Enabling prediction features on Lightning record pages across Salesforce and CRM Analytics |
| Topic 5: Analytics Dashboard Implementation | 19% | - Implementing delivery management strategies using versioning and/or Dashboard Publisher - Using advanced functionality such as windowing and time series analysis in compare tables - Monitoring and optimizing query performance using Dashboard Inspector - Developing selection/result interactions with different query types - Configuring dashboards using accurate query types and widget-level parameters - Making dashboards actionable and accessible in Lightning pages |
| Topic 6: Data Layer | 24% | - Understanding denormalized sequential datasets - Troubleshooting failed dataflow jobs - Data transformation and loading into Einstein datasets - Dataflow configuration for multi-object scenarios - Incremental sync configuration - Data extraction from sources |
Salesforce Tableau CRM Einstein Discovery Consultant Sample Questions:
1. Which three things can be done with the Einstein Analytics Dashboard Inspector? Choose 3 answers
A) See the final query for each step along with query results.
B) View all queries and the time it took to run each one.
C) Get a list of recommendations on how to improve the performance of the dashboard.
D) Automatically remove bottlenecks to make queries run faster.
E) View the total time required to run all queries.
2. Which three statements are true regarding sharing inheritance? Choose 3 answers
A) Sharing inheritance supports a foreign key for enforcing security.
B) Sharing inheritance supports Account, Campaign, Case, Contact, Opportunity, Lead, Order, User, and custom objects. If you use other objects, such as Idea or Site, you must use security predicates for those objects.
C) When sharing inheritance is enabled, security predicates are ignored.
D) A dataset using sharing must also have a security predicate defined.
E) If a user can see more than 3,000 records on the object in Salesforce, but the user does not have the "View All Data" permission, sharing inheritance is not used. The backup security predicate takes effect. This limitation does not apply to the Opportunity object.
3. The Event Monitoring Analytics app brings prebuilt insights and analytics to what type of existing data in your org?
A) Forensics data
B) Field audit trail data
C) Event log file data
D) Sales Cloud data Login
4. Which chart type is best suited to track progress of sales revenue that is realized versus the target?
A) Pivot table
B) Flat gauge
C) Pie chart
D) Bar chart
5. What kind of insight is "What Is The Difference"?
A) Predictive
B) Selective
C) Prescriptive
D) Descriptive
E) Diagnostic
Solutions:
| Question # 1 Answer: A,B,C | Question # 2 Answer: B,D,E | Question # 3 Answer: C | Question # 4 Answer: B | Question # 5 Answer: E |
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