2026 Salesforce Analytics-Con-201: Useful Salesforce Certified CRM Analytics and Einstein Discovery Consultant Exam Success

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Salesforce Analytics-Con-201 Exam Syllabus Topics:

SectionWeightObjectives
Data Layer23%- Data Sources & Integration
  • 1. Define datasets and map Salesforce objects
  • 2. Extract, load, and prepare data using Data Manager
  • 3. Use Dataflows and Recipes for transformation
- Data Management & Optimization
  • 1. Resolve data sync and refresh issues
  • 2. Optimize dataset performance
  • 3. Implement data modeling and relationships
Dashboard Design & Development25%- Design Principles
  • 1. Apply best practices for usability and performance
  • 2. Design for mobile and Lightning compatibility
- Build & Configure Dashboards
  • 1. Create lenses, steps, and visualizations
  • 2. Implement bindings, filters, and interactions
  • 3. Use SAQL for advanced queries
Security & Access12%- Sharing & Permissions
  • 1. Manage user and group access
  • 2. Configure app, dataset, and field-level security
  • 3. Implement row-level security and inheritance
Analytics Administration & Deployment18%- Implementation & Maintenance
  • 1. Manage versioning and deployment
  • 2. Monitor and optimize query performance
  • 3. Use Dashboard Inspector and Publisher
Einstein Discovery22%- Deployment & Usage
  • 1. Embed predictions in dashboards and Lightning pages
  • 2. Interpret results and recommendations
  • 3. Monitor and maintain model performance
- Model Building & Configuration
  • 1. Prepare and assess data for modeling
  • 2. Select prediction type: numeric, binary, multi-class
  • 3. Train, evaluate, and refine models

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Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions (Q12-Q17):

NEW QUESTION # 12
What are various ways to incorporate blank space in a CRM Analytics dashboard?

Answer: B

Explanation:
Incorporating blank space into a CRM Analytics dashboard can be achieved effectively through the following methods:
* Cell Spacing Layout Property: This allows for consistent spacing between cells, helping to create a visually organized and less cluttered dashboard.
* Increasing Dashboard Granularity via Columns: Using blank columns as a method to create deliberate space can help in visually separating different dashboard elements, enhancing readability and focus.
These methods ensure that the dashboard is not only functional but also aesthetically pleasing and easy to navigate.


NEW QUESTION # 13
A manager at Cloud Kicks wants to separate and analyze accounts based on numeric information of its opportunity records. The data includes things like amount, quantity of products, contacts, and quotes.
How should the CRM Analytics consultant accomplish this?

Answer: A


NEW QUESTION # 14
consultant is tasked with creating an opportunity dataset for a new analytics app. One requirement is to make sure users only see the opportunities they have access to in Salesforce. Opportunity records are private but shared using the role hierarchy. The consultant runs the sharing inheritance coverage assessment and finds that the VP of sales is not covered by the sharing inheritance. The consultant decides to proceed with using sharing inheritance for the dataset.
What else does the consultant need to do?

Answer: A


NEW QUESTION # 15
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?

Answer: C

Explanation:
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.


NEW QUESTION # 16
Cloud Kicks' Salesforce org has multiple currencies enabled. This company's business intelligence team uses CRM Analytics to build a dataflow/recipe that creates a dataset, "OpportunityDataSet", which is populated with data extracted from Opportunity. One of the extracted fields is the standard field, Amount.
Which currency will the Amount values be shown in "OpportunityDataSet"?

Answer: A


NEW QUESTION # 17
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