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  • Total Questions: 117
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Salesforce Analytics-Con-201 Exam Syllabus Topics:

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

Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions:

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. Export the data to a CSV file and load it on the remote site.
  • C. Use an iFrame to embed the Salesforcepage in a remote site.
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

Universal Containers (UC) is rolling out CRM Analytics to its field sales that include dashboards withorder data from an external source.
UC has a well-defined role hierarchy where everyone is assigned to an appropriate node on the hierarchy. In addition, the order data has a reference to a Salesforce opportunity.
An individual sales rep should be able to view all orders that they own or as part of the account team or opportunity team. The sales manager should be able to view all orders for the entire sales team. Similarly, the VP of sales should be able to view orders for everyone who rolls up in that hierarchy.
The dataset has a field called Ownerld which represents the order owner.
Given this information, how should a CRM Analytics consultant implement the above requirements?

  • A. As part of the recipe, use a formula on the Roleid fildto create an attribute called 'ParentRolelDs' on the dataset, and apply the following security predicate: 'ParentRolelDs' ==''$UserRoleId'' || Owned\ ==
    '$User,id\\,
  • B. As part of the recipe, use a multi row formula on the Roleld field to create an attribute called
    'ParentRoleIDs' on the dataset, and apply the following security predicate:"$User.UserRoleld" ||
    'Ownerld' == "$User.Id".
  • C. As part of the recipe, use the flatten operation on the role hierarchy, create a multi-value attribute called
    'ParentRoleIDs' on the dataset, and apply the following security predicate: 'ParentRoleIDs' == "$User.
    UserRoleld" || 'TeamMember.Id' '$User, Id" || 'Ownerld' == "$User.Id".
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

Explanation: Only visible for PrepAwayExam members. You can sign-up / login (it's free).

Universal Containers has a dashboard for sales managers that want to visualize their win rate.
Which chart type should the consultant use to keep track of targets?

  • A. Metric Radar
  • B. Line
  • C. Gauge
Reveal Solution  Discussion  0

Correct Answer: C  🗳️


Which timeseries statement will fix the query?

  • A. q = timeserles q generate 'sum_Sales' as 'Forecasted_Sales' with (length=12,dateCols=("Date_Year',
    'Date_Month', "Y-M"), partition='Region');
  • B. q = timeseries q generate 'sum_Sales' as 'Forecasted_Sales' with (dateCols=('Date_Quarter',
    'Date_Month', "Q-M"), partition='Region', ignoreLast=true);
  • C. q= timeseries q generate 'sum_Sales' as 'Forecasted_Sales' with (dateCols=('Date_Year', 'Date Quarter', "Y-Q"), partition='Region', seasonality=4);
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

A consultant sets up a Sales Analytics templated app that is very useful for sales operations at Universal Containers (UC). UC wants to make sure all of the data assets associated with the app, including:
recipes, dataflows, connectors, Einstein Discovery models, and prediction definitions are refreshedeveryday at
6:00 AM EST.
How should the consultant proceed?

  • A. Use the Data Manager and schedule each item to run at 6:00 AM EST based on 'Time-based Scheduling'.
  • B. Use the App Install History under Analytics Settings and schedule the app to run at 6:00 AM EST.
  • C. Use the Data Manager and schedule the recipes/dataflows to run at 6:00 AM EST based on 'Time-based Scheduling'.
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

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