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Salesforce Analytics-Con-201 Exam Syllabus Topics:

Section	Weight	Objectives
Security	10%	- Determine security and sharing settings 1. Describe how Salesforce security is applied in CRM Analytics 2. Implement row-level security
Einstein Discovery	20%	- Describe Einstein Discovery concepts 1. Identify the use cases for Einstein Discovery 2. Interpret model results 3. Explain the model building process - Implement Einstein Discovery 1. Configure and deploy Einstein Discovery models 2. Integrate predictions into CRM Analytics dashboards
Data Layer	25%	- Implement and configure the right data transformations 1. Use Data Prep actions 2. Identify and resolve data sync issues - Identify the right data sources and data flows for CRM Analytics 1. Define datasets 2. Describe how Salesforce objects map to CRM Analytics 3. Describe use cases for Data Prep (Dataflows and Recipes)
Analytics Dashboard Configuration	25%	- Configure dashboards 1. Apply query filters 2. Set up dynamic dashboards 3. Configure bindings
Analytics Dashboard Design	20%	- Design and build CRM Analytics dashboards 1. Apply design best practices 2. Describe the use cases for Visualforce and Lightning components 3. Use Lenses and Dashboards

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Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions (Q13-Q18):

NEW QUESTION # 13
Universal Containers is setting up a Sales Analytics app to track the sales performance across all regions. The role hierarchy is well-structured with separate branches for various global regions.
Viewer access has been provided to the regional sales reps based on the following roles.
* Regional Sales - APAC
* Regional Sales - EMEA
* Regional Sales - LATAM
* Regional Sales - NA
The CRM Analytics project team receives a request to extend Editor
access to the app to 20 'Superusers' across all regions.
What is the optimal solution?

A. Create a new public group with these users and assign it the Editor app access.
B. Create a new sharing rule for these users and assign it the Editor app access.
C. Create new roles for these users and assign them the Editor app access.

Answer: A

NEW QUESTION # 14
The administrator at Cloud Kicks has been asked to sync data from an external object created in Salesforce into CRM Analytics.
What should the administrator keep in mind?

A. Loading the external object data into CRM Analytics will help joinobjects in the recipes.
B. Salesforce external objects are unsupported in RM Analytics recipes digest transformations.
C. Using a custom connector to connect to the external objects will load it into CRM Analytics.

Answer: B

NEW QUESTION # 15
A manager at Cloud Kicks asks for data in a dashboard to be refreshed after the sync of an external connection to Google BigQuery.
How should the consultant accomplish this?

A. Create 3 Salesforce flow to trigger the recipe to run once the connection sync has finished running.
B. Schedule the recipe to run as event-based and check the Salesforce external connection syncs checkbox.
C. Check the scheduled date/time of the sync and schedule the recipe to run 15 minutes after the start time of the sync.

Answer: B

Explanation:
For Cloud Kicks' requirement to refresh dashboard data synchronously with the sync of an external connection to Google BigQuery, the most efficient method is:
* Event-Based Triggers: Using CRM Analytics, you can set up recipes to run on an event-based trigger.
This ensures that the recipe (which processes the data for the dashboard) only runs after the external data sync is completed.
* Salesforce External Connection Syncs: By specifically targeting the synchronization event of the Salesforce external connection with Google BigQuery, the recipe ensures data consistency and timeliness without manual intervention.
* Automation and Efficiency: This approach minimizes latency and maximizes data freshness, aligning data processing closely with data availability, thus enhancing dashboard accuracy.

NEW QUESTION # 16

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

Answer: B

NEW QUESTION # 17
A CRM Analytics consultant at Cloud Kicks wants to create a new dashboard that uses custom GeoJSON to display data; however, they are unable to upload the file via the user interface (UI).
Which action should the consultant take?

A. Add the system permission "Manage Analytics Custom Maps" to the permission set used.
B. Upload the GeoJSON via the API because it is NOT a function in the UI.
C. Enable Custom maps with GeoJSON"" in the analytics settings.

Answer: B

Explanation:
If a consultant at Cloud Kicks needs to use custom GeoJSON files for dashboard visualization and cannot upload the file via the CRM Analytics user interface (UI), the recommended action is to use the API for this purpose. Here's why this approach is suggested:
* Functionality Limitation in UI: Currently, the CRM Analytics UI does not support direct uploads of GeoJSON files, which necessitates an alternative method.
* API Flexibility: The API provides a more flexible route for uploading custom GeoJSON files, allowing consultants to integrate more complex or larger datasets that are not supported through standard UI functionalities.
* Customization and Control: Using the API also offers greater control over how GeoJSON data is handled, processed, and utilized within CRM Analytics, catering to more advanced customization needs.
This method ensures that the consultant can fully utilize CRM Analytics' capabilities for creating highly customized geographic visualizations, thereby enhancing the analytical value of the dashboards.

NEW QUESTION # 18
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