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Salesforce Analytics-Con-201 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Einstein Discovery	20%	- 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. Interpret model results 3. Identify the use cases for Einstein Discovery
Topic 2: Security	10%	- Determine security and sharing settings 1. Describe how Salesforce security is applied in CRM Analytics 2. Implement row-level security
Topic 3: Analytics Dashboard Configuration	25%	- Configure dashboards 1. Apply query filters 2. Configure bindings 3. Set up dynamic dashboards
Topic 4: Data Layer	25%	- Identify the right data sources and data flows for CRM Analytics 1. Describe how Salesforce objects map to CRM Analytics 2. Describe use cases for Data Prep (Dataflows and Recipes) 3. Define datasets - Implement and configure the right data transformations 1. Use Data Prep actions 2. Identify and resolve data sync issues
Topic 5: Analytics Dashboard Design	20%	- 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

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Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions (Q54-Q59):

NEW QUESTION # 54
Universal Containers (UC) recently activated data sync in the CRM Analytics data manager. After running the sync, UC notices that the aggregate sum of a field within the company's dataset is different than what they manually calculated by summing the same data in the Salesforce object.
What is causing the issue with the newly synced data?

A. Differences involving formula fields
B. Differences involving trigger-updated fields
C. Differences involving flow-updated fields

Answer: A

NEW QUESTION # 55
After getting approval for the dashboard layout design for a desktop, the CRM Analytics consultant is ready to start the design process for a mobile layout.
Which consideration should the consultant keep in mind?

A. Create a layout with the property "phone" to show the dashboard on the mobile app similar to creating a layout with the property "dashboard"to show on the desktop for thesame dashboard,
B. If no layouts are eligible for the mobile device, an error message will be displayed but the dashboard will still be visible on the desktop without errors.
C. "Tablet" or "Phone" layout-where only minWidth and maxWidth have been set-may be displayed on a desktop if the dashboard is embedded in asmall frame, or if the browserwindow is small.

Answer: C

Explanation:
When designing for different device types in CRM Analytics, particularly for mobile layouts, it's crucial to consider how the layout will respond not just on mobile devices but also under various display conditions on desktops. Here's the rationale for focusing on this consideration:
* Responsiveness: Layouts designated for tablets or phones may also be triggered on desktop environments if conditions such as browser window size or embedded frame dimensions mimic those typical of smaller devices.
* Design Flexibility: Understanding this behavior is essential for creating versatile dashboards that maintain functionality and visual integrity across all potential viewing scenarios.
* User Experience: Ensuring that the dashboard behaves predictably across device types and sizes enhances user engagement and effectiveness, as it provides a consistent experience regardless of the access point.
This approach ensures that the dashboard remains functional and accessible no matter how or where it is being viewed, aligning with best practices for responsive and adaptive design in modern analytics environments.

NEW QUESTION # 56
Cloud Kicks needs a CRM Analytics consultant to install the Appointment Analytics App. After installation, they realize the wrong field was picked and the app did not have access to a newly created field that should be used instead of the old one.
What is the first step the consultant should take to prevent erroneous dataset/dashboard creation?

A. Cancel running installations from Setup
B. Update the app with the new field after installation.
C. Stop the recipe from running in Data Manager.

Answer: C

Explanation:
If the wrong field is selected in the initial setup of an app or dataset, it is important to stop any data processing activities (like recipe executions) to prevent erroneous data from being loaded into datasets and dashboards. In this case, stopping the recipe from running in Data Manager is the correct first step. Once the recipe is stopped, the consultant can update the field selection or make other necessary corrections before restarting the process.

NEW QUESTION # 57
Cloud Kicks has informed CRM Analytics developers that they have two scenarios with restricted row-level security.
The parameters being:
1. Non-CXOs and VPs working in EMEA can have access to EMEA records only.
2. CXOs and VPs should have access to all data irrespective of the region (APAC, EMEA, etc.).
Which sharing method works for this scenario?

A. Use a field on the user record like Department/Region, and apply row-level security based on that field.
B. Create two sets of dashboards; one for EMEA, and one for CXOs and VPs while filtering the dashboard on the region.
C. Create two separate datasets; one for EMEA, and one for CXOs and VPs.

Answer: A

NEW QUESTION # 58
Universal Containers uses CRM Analytics to build dashboards for different departments: Sales, Service, and Marketing. Users in the samedepartment have the same role and need to have access to the same dashboards.
Dashboards for different departments use some common datasets with the same row-level security.
How should a CRM Analytics consultant address this need?

A. Create one app for each department, put common datasets in the shared app, and use profiles to share apps.
B. Create one app for each department, put common datasets in the shared app, and use permission sets to share apps.
C. Create one app for each department, put common datasets in the shared app, and use roles to share apps.

Answer: B

Explanation:
For managing access to department-specific dashboards while leveraging common datasets, the best approach involves the use of apps and permission sets. Here's why:
* App Segregation: Creating a separate app for each department (Sales, Service, Marketing) allows for tailored dashboards and datasets to be grouped by department, facilitating easier management and navigation.
* Shared Common Datasets: Placing common datasets in a shared app ensures that all departments can access necessary data without duplication, maintaining consistency and reducing storage requirements.
* Use of Permission Sets: Leveraging permission sets to control access to these apps is a flexible and scalable approach. Permission sets can be finely tuned to grant or restrict access based on user roles within the organization, and they can be easily adjusted as roles or organizational structures change.
This structure not only ensures data security and appropriate access but also enhances the efficiency of managing CRM Analytics resources across different departments.

NEW QUESTION # 59
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