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Salesforce Analytics-Con-201 Exam Syllabus Topics:

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

Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions:

1. A team of CRM Analytics developers has been working on an existing recipe to add new derived fields. The edited version has been failing ever since, and management is requesting that the dashboard show refreshed data while they work on the edits.
How can the developers add new fields while keeping the dataset refreshed?

A) Clone the existing recipe to add fields and roll back the original recipe to the last working version.
B) Refresh the dataset after working hours to avoid the edited version from failing.
C) A recipe for the new fields and when that is successful, add it to the existing recipe as a join node.


2. A model created with a GLM algorithm produced unsatisfactory results.
When re-running the model, which type of algorithm should the consultant use to improve the results?

A) XGBoost
B) K-Nearest Neighbors
C) Support Vector Machines


3. Which recommended technique should a CRM Analytics consultant
use to access CRM Analytics data from a remote app or website?

A) Use HTTPS to call the /wave/query API, supplying an encoded SAQL query asa parameter.
B) Use an iFrame to embed the Salesforcepage in a remote site.
C) Export the data to a CSV file and load it on the remote site.


4. Universal Containers has a dashboard for sales managers. They need the ability to visualize the number of Closed Won opportunities by month, quarter, or year, and then display the result in a single chart. A CRM Analytics consultant creates a custom query to display three values:
ClosedDate_month, ClosedDate_ quarter, and ClosedDate_year.
What should the consultant do next?

A) Use result binding/interaction to update the grouping in the chart.
B) Use selection binding/interaction to update the measure In the chart.
C) Use selection binding/interaction to update the grouping In the chart.


5. 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) Change sets
B) Analytics dashboard connector
C) Analytics External Data API


Solutions:

Question # 1
Answer: A
Question # 2
Answer: A
Question # 3
Answer: A
Question # 4
Answer: C
Question # 5
Answer: A

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