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Salesforce Analytics-Con-201 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Einstein Discovery20%- Implement Einstein Discovery
  • 1. Configure and deploy Einstein Discovery models
  • 2. Integrate predictions into CRM Analytics dashboards
- Describe Einstein Discovery concepts
  • 1. Identify the use cases for Einstein Discovery
  • 2. Explain the model building process
  • 3. Interpret model results
Topic 2: Analytics Dashboard Configuration25%- Configure dashboards
  • 1. Configure bindings
  • 2. Apply query filters
  • 3. Set up dynamic dashboards
Topic 3: Security10%- Determine security and sharing settings
  • 1. Describe how Salesforce security is applied in CRM Analytics
  • 2. Implement row-level security
Topic 4: Data Layer25%- 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)
- Implement and configure the right data transformations
  • 1. Use Data Prep actions
  • 2. Identify and resolve data sync issues
Topic 5: 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

Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions:

1. Cloud Kicks (CK) has a dashboard that is still showing 10 former account managers. CK has since expanded, and some have moved from their former roles. CK wants the dashboard to reflect current account managers and stay up to date as new team members join.
How should the CRM Analytics developer accomplish this?

A) Create @ Watchlist and when the number of account manager updates, update the dashboard to reflect the same.
B) Use a Repeater Widget that updates automatically as the data flows through the system.
C) Build a report and get notified when a new account manager joins, and then edit the dashboard to add the account manager.


2.
Which timeseries statement will fix the query?

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


3. Universal Containers asks a CRM Analytics consultant to review the performance of its local data sync.
After removing unused objects and fields from connected data, what else should the consultant do to improve performance of the data sync?

A) Evaluate connection mode for each connected object.
B) Contact Salesforce Support to increase sync speed.
C) Enable fast sync in analytics settings.


4. A new picklist value was added for the Category field on the Account object. This field is already added as part of the Account object data sync and the respective recipe that uses this field.
The CRM Analytics team reports that when they start the recipe it runs successfully with no errors or warnings, but theyare unable to See this new valueson their existing dashboards.
What is the oridi4 of this issue?

A) The user who runs the dataflow/recipe does not have access to the field.
B) There are no records in Salesforce with this new plicklist value.
C) The Integration User profile does not have access to the field.


5. Universal Containers has a well-defined role hierarchy in Salesforce where everyone is assigned to an appropriate node. The accounts within their instance are categorized by their demography.
An individual sales rep should be able to view all accounts that they own. In addition, sales reps should be able to see any accounts where the value of the account demography matches the demography defined on their user record. A user could have more than one demography defined on their user record.
To meet this requirement, the CRM Analytics consultant has set up a security predicate of the existing
'Account' dataset as follows:

This, however, does not seem to be working as expected.
What is causing the issue?

A) The Sales Rep is not provided access permission on custom field Demographic__c on the User object.
B) The security predicate needs to be updated as 'Ownerld' == "sUser.id" || 'Demography' = "$User.
Demographic__c'.
C) The Analytics Security User is not provided access permission on custom field Demographic_c on the User object.


Solutions:

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

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