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Salesforce Analytics-Con-201 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Analytics Administration & Deployment18%- Implementation & Maintenance
  • 1. Use Dashboard Inspector and Publisher
  • 2. Monitor and optimize query performance
  • 3. Manage versioning and deployment
Topic 2: Data Layer23%- Data Sources & Integration
  • 1. Use Dataflows and Recipes for transformation
  • 2. Extract, load, and prepare data using Data Manager
  • 3. Define datasets and map Salesforce objects
- Data Management & Optimization
  • 1. Implement data modeling and relationships
  • 2. Optimize dataset performance
  • 3. Resolve data sync and refresh issues
Topic 3: Security & Access12%- Sharing & Permissions
  • 1. Implement row-level security and inheritance
  • 2. Manage user and group access
  • 3. Configure app, dataset, and field-level security
Topic 4: Dashboard Design & Development25%- Build & Configure Dashboards
  • 1. Use SAQL for advanced queries
  • 2. Implement bindings, filters, and interactions
  • 3. Create lenses, steps, and visualizations
- Design Principles
  • 1. Design for mobile and Lightning compatibility
  • 2. Apply best practices for usability and performance
Topic 5: 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. Train, evaluate, and refine models
  • 2. Select prediction type: numeric, binary, multi-class
  • 3. Prepare and assess data for modeling

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Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions (Q61-Q66):

NEW QUESTION # 61
Acompany wants to create a timeline chart to visualize the evolution of its Closed Won opportunities.

What are the required parameters to build a lens that displays output similar to the image shown?

Answer: A

Explanation:
To create a timeline chart similar to the one shown, the following parameters are typically required:
* 1 Measure: This could be the count of Closed Won opportunities or any other relevant metric that needs to be tracked over time.
* 1 Grouping by a Date Field: This is essential to plot the timeline effectively. The date field would typically be the close date of the opportunities.
* Additional Groupings: Depending on the complexity and the detail needed, additional groupings can be added. For example, grouping by region or product line can provide more insights into the timeline. If trellis is used, it allows for the creation of multiple smaller charts within the main chart, each representing a slice of data based on the additional groupings.
This setup helps visualize the evolution of Closed Won opportunities over time, making it easy to spot trends, seasonal patterns, or other relevant insights.


NEW QUESTION # 62
Universal Containers (UC) is looking to create a dashboard for whitespace analysis. UC wants to view a particularcustomer and see what similarcustomers have bought.
Which recipe transformation is helpful for the consultant to use while creating the dataset?

Answer: B

Explanation:
Reference:CRM Analytics Recipes and Transformation


NEW QUESTION # 63
Cloud Kicks uses CRM Analytics for its sales reporting. A new manager needs access to CRM Analytics to see specific dashboards.
How should the system administrator give access to the Analytics
Studio app in the App Launcher?

Answer: B


NEW QUESTION # 64
Universal Containers (UC) uses a Microsoft Azure SQL Data Warehouse to gather information about sales reps' objectives. UC wants to use CRM Analytics to gain insights from this data and automatically load it into a CRM Analytics dataset daily. The data also needs to be transformed and merged with data from the company's org.
Which CRM Analytics user interface features should be used to complete these requirements?

Answer: B

Explanation:
Reference:CRM Analytics Connectors and Dataflows


NEW QUESTION # 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?

Answer: B


NEW QUESTION # 66
......

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