Salesforce Certified CRM Analytics and Einstein Discovery Consultant: Analytics-Con-201 Exam
"Salesforce Certified CRM Analytics and Einstein Discovery Consultant", also known as Analytics-Con-201 exam, is a Salesforce Certification. With the complete collection of questions and answers, Pass4sureCert has assembled to take you through 117 Q&As to your Analytics-Con-201 Exam preparation. In the Analytics-Con-201 exam resources, you will cover every field and category in Salesforce Consultant Certification helping to ready you for your successful Salesforce Certification.
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Salesforce Analytics-Con-201 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Data Management and Preparation | - Data transformation and dataflows - Dataset creation and configuration in CRM Analytics |
| Dashboard and App Development | - Lens creation and dashboard design - Interactive filters and user experience optimization |
| Einstein Discovery | - Insights interpretation and recommendations - Model building and predictions |
| Data Integration and Connectivity | - Connecting external data sources - Data synchronization and refresh strategies |
| Security and Access | - App and dataset permissions - Row-level security and sharing rules |
Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions:
1. 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?
A) 1 measure, 1 grouping by a date field, and either 0-1 groupings groupings by a dimensionif trellis is disabled, or 0-2groupings if trellis is enabled
B) 1 measure, 1-2 groupings if trellis is disabled, or 1-4 groupings if trellis is enabled
C) 1 measure, 0 groupings if trellis Is disabled, or 0-2 groupings If trellis is enabled
2. The CRM Analytics project team at Universal Containers is creating an app with dashboards, datasets, and lenses. The app has been shared with multiple users with Viewer, Editor, and/or Manager access.
One end user is unable to view the dashboard watchlist that was previously set up. They are receiving a
"Resource not found" error while trying to access the dashboard. The team confirms that the end user has Viewer access to the app but the project team is able to view the dashboard.
What is the reason for this error?
A) The dashboard has been hidden by a user with Manager access to the App.
B) The dashboard is deleted by a user with Manager access to the App.
C) The dashboard or App permission needs to be updated to Editor.
3. 
Which timeseries statement will fix the query?
A) q = timeseries q generate 'sum_Sales' as 'Forecasted_Sales' with (dateCols=('Date_Quarter',
'Date_Month', "Q-M"), partition='Region', ignoreLast=true);
B) q= timeseries q generate 'sum_Sales' as 'Forecasted_Sales' with (dateCols=('Date_Year', 'Date Quarter', "Y-Q"), partition='Region', seasonality=4);
C) q = timeserles q generate 'sum_Sales' as 'Forecasted_Sales' with (length=12,dateCols=("Date_Year',
'Date_Month', "Y-M"), partition='Region');
4. 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 Analytics Security User 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 Sales Rep is not provided access permission on custom field Demographic__c on the User object.
5. 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?
A) Timeseries Forecasting
B) Predict Missing Values
C) Cluster
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: A | Question # 3 Answer: C | Question # 4 Answer: C | Question # 5 Answer: C |
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