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Salesforce Analytics-Con-201 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|
| Topic 1: Dashboard Design & Development | 25% | - Design Principles
- 1. Design for mobile and Lightning compatibility
- 2. Apply best practices for usability and performance
- Build & Configure Dashboards
- 1. Create lenses, steps, and visualizations
- 2. Implement bindings, filters, and interactions
- 3. Use SAQL for advanced queries
|
| Topic 2: Einstein Discovery | 22% | - Deployment & Usage
- 1. Interpret results and recommendations
- 2. Embed predictions in dashboards and Lightning pages
- 3. Monitor and maintain model performance
- Model Building & Configuration
- 1. Prepare and assess data for modeling
- 2. Train, evaluate, and refine models
- 3. Select prediction type: numeric, binary, multi-class
|
| Topic 3: Data Layer | 23% | - Data Sources & Integration
- 1. Use Dataflows and Recipes for transformation
- 2. Define datasets and map Salesforce objects
- 3. Extract, load, and prepare data using Data Manager
- Data Management & Optimization
- 1. Implement data modeling and relationships
- 2. Resolve data sync and refresh issues
- 3. Optimize dataset performance
|
| Topic 4: Analytics Administration & Deployment | 18% | - Implementation & Maintenance
- 1. Manage versioning and deployment
- 2. Monitor and optimize query performance
- 3. Use Dashboard Inspector and Publisher
|
| Topic 5: Security & Access | 12% | - Sharing & Permissions
- 1. Implement row-level security and inheritance
- 2. Manage user and group access
- 3. Configure app, dataset, and field-level security
|
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Salesforce Certified CRM Analytics and Einstein Discovery Consultant 認定 Analytics-Con-201 試験問題 (Q63-Q68):
質問 # 63
The sole manager of a CRM Analytics app at Cloud Kicks is leaving the company.
What should the CRM Analytics consultant do to ensure the app remains accessible?
- A. Wait for the CRM Analytics app to auto-assign an active user as its manager.
- B. Deactivate the user and assign an active one to the app's manager role.
- C. Assign an active user the app's manager role before the previous manager is deactivated.
正解:C
解説:
To ensure continuity in managing a CRM Analytics app at Cloud Kicks after the current manager leaves, it is critical to proactively assign a new manager. Here's why this is the best approach:
* Role Transition: Assigning a new manager before the current manager's account is deactivated ensures there is no gap in app management, maintaining access and administrative continuity.
* Avoid Disruption: Waiting for an automatic reassignment (which does not typically occur in CRM Analytics) or post-deactivation reassignment could disrupt the management and operation of the app, potentially leading to access issues or administrative challenges.
* Proactive Management: This approach is in line with best practices for CRM system management, where critical roles and responsibilities are transitioned smoothly to avoid any operational disruptions.
質問 # 64
The CRM Analytics project team at Universal Containers is creating an app with dashboards, datasets, and lenses. The app has been shared with multiple users with Viewer, Editor, and/or Manager access.
One end user is unable to view the dashboard watchlist that was previously set up. They are receiving a
"Resource not found" error while trying to access the dashboard. The team confirms that the end user has Viewer access to the app but the project team is able to view the dashboard.
What is the reason for this error?
- A. The dashboard is deleted by a user with Manager access to the App.
- B. The dashboard or App permission needs to be updated to Editor.
- C. The dashboard has been hidden by a user with Manager access to the App.
正解:C
質問 # 65
A system administrator and a CRM Analytics consultant are working together on deploying arecipe/dataflow and a dataset to another org. Prior to this deployment, a package was deployed with all the custom fields used in the dataflow and dataset.
While running the recipe/dataflow in the target environment, the consultant encounters multiple errors related to these custom fields.
How should this be resolved?
- A. Check whether the Analytics Integration user has been provided access to these custom fields on the target org.
- B. Check whether the system administrator has been provided access to these custom fields on the target org.
- C. Check whether the consultant has been provided access to these custom fields on the target org.
正解:A
質問 # 66
consultant is reviewing a model that is set to maximize the daily sales quantity of consumer products in stores, and they see this recommendation.

Which action should the consultant take?
- A. Ignore alert; the explanation of variation is only 35%, which is below 50%,
- B. Verifyclient expectations that Store is a strong predictor for daily sales quantity.
- C. Remove the Store field from the model definition, because that is the recommended action.
正解:B
解説:
Upon reviewing the data model and noticing the high correlation alert between 'Store' and daily sales quantity, the appropriate action is to verify with the client their expectations regarding the influence of the Store field on daily sales. Here's the rationale:
* Understanding the Role of 'Store' in the Model: Before making any changes to the model, it's crucial to understand whether the 'Store' field is expected to be a strong predictor based on the business context. If the client expects that different stores inherently have different sales volumes due to factors like location, size, or customer base, this correlation may be both meaningful and desired.
* Potential Data Leakage: High correlation warnings can sometimes indicate data leakage, where a predictor (like 'Store') might inadvertently include information about the outcome variable (daily sales quantity). It's essential to verify whether this correlation makes sense logically or if it's skewing the model predictions.
* Client Consultation: Consulting with the client helps ensure that any modeling decisions align with their business knowledge and expectations. It's about validating the model against real-world expectations and ensuring it remains a useful tool for decision-making.
By taking these steps, the consultant not only adheres to best practices in data science by validating model inputs and their implications but also ensures that the model aligns with the client's business strategies and operational realities.
質問 # 67
A consultant creates a CRM Analytics dashboard in a sandbox and it needs to be migrated into production.
What should the consultant use to complete the migration?
- A. Analytics External Data API
- B. Analytics dashboard connector
- C. Change sets
正解:C
質問 # 68
......
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