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Salesforce Analytics-Con-201 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Analytics Dashboard Design20%- Design and build CRM Analytics dashboards
  • 1. Describe the use cases for Visualforce and Lightning components
  • 2. Apply design best practices
  • 3. Use Lenses and Dashboards
Topic 2: Security10%- Determine security and sharing settings
  • 1. Describe how Salesforce security is applied in CRM Analytics
  • 2. Implement row-level security
Topic 3: Analytics Dashboard Configuration25%- Configure dashboards
  • 1. Set up dynamic dashboards
  • 2. Configure bindings
  • 3. Apply query filters
Topic 4: Einstein Discovery20%- Describe Einstein Discovery concepts
  • 1. Interpret model results
  • 2. Identify the use cases for Einstein Discovery
  • 3. Explain the model building process
- Implement Einstein Discovery
  • 1. Configure and deploy Einstein Discovery models
  • 2. Integrate predictions into CRM Analytics dashboards
Topic 5: Data Layer25%- Implement and configure the right data transformations
  • 1. Identify and resolve data sync issues
  • 2. Use Data Prep actions
- Identify the right data sources and data flows for CRM Analytics
  • 1. Describe how Salesforce objects map to CRM Analytics
  • 2. Define datasets
  • 3. Describe use cases for Data Prep (Dataflows and Recipes)

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Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions (Q111-Q116):

NEW QUESTION # 111
AW Computing will start using Tableau Online to report on some of its Salesforce data to users who do NOT have an SFDC license.
What is the first step the CRM Analytics consultant should take?

Answer: B


NEW QUESTION # 112
Cloud Kicks (CK) has a dashboard in CRM Analytics with forecasting data. One widget is a compare table using the timeseries function showing the quarterly forecast. However, CK is interested in enhancing the dashboard with a weekly forecast per customer.
How should CK achieve this?

Answer: A

Explanation:
To create a weekly forecast per customer, anSAQL (Salesforce Analytics Query Language)query can be used.
The timeseries function generates forecast data based on a specified date range. In this case, the forecast is customer-specific, meaning the partition should be based onAccount Nameto ensure that the forecast is generated for each customer. The date column (Date Cols) should be set to Y-M-W to aggregate the forecast data on a weekly basis.
Reference: The use ofSAQL and timeseries functionsis covered in theWave Analytics ExplorerandAdvanced SAQLmodules, where partitioning and date-based aggregations are explained in detail.


NEW QUESTION # 113
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?

Answer: B


NEW QUESTION # 114
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?

Answer: B


NEW QUESTION # 115
Universal Containers has a single dataset that contains the attainment and commission fields for all sales reps.
Each sales rep should be able view the attainment data for each rep in their division. Each repshould only be able to see their own commission data.
Which option should a CRM Analytics consultant use to enforce this requirement?

Answer: A


NEW QUESTION # 116
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