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Salesforce Analytics-Con-201 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Analytics Dashboard Design	20%	- Design and build CRM Analytics dashboards 1. Apply design best practices 2. Use Lenses and Dashboards 3. Describe the use cases for Visualforce and Lightning components
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%	- Implement and configure the right data transformations 1. Identify and resolve data sync issues 2. Use Data Prep actions - 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)
Topic 5: Einstein Discovery	20%	- Implement Einstein Discovery 1. Configure and deploy Einstein Discovery models 2. Integrate predictions into CRM Analytics dashboards - Describe Einstein Discovery concepts 1. Interpret model results 2. Identify the use cases for Einstein Discovery 3. Explain the model building process

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Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions (Q109-Q114):

NEW QUESTION # 109
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. "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.
C. 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.

Answer: B

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 # 110
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 is deleted by a user with Manager access to the App.
B. The dashboard or App permission needs to be updated to Editor.
C. The dashboard has been hidden by a user with Manager access to the App.

Answer: C

NEW QUESTION # 111
consultant is reviewing a model that is set to maximize the daily sales quantity of consumer products in stores, and they see this recommendation.

Which action should the consultant take?

A. Verifyclient expectations that Store is a strong predictor for daily sales quantity.
B. Ignore alert; the explanation of variation is only 35%, which is below 50%,
C. Remove the Store field from the model definition, because that is the recommended action.

Answer: A

Explanation:
Upon reviewing the data model and noticing the high correlation alert between 'Store' and daily sales quantity, the appropriate action is to verify with the client their expectations regarding the influence of the Store field on daily sales. Here's the rationale:
* Understanding the Role of 'Store' in the Model: Before making any changes to the model, it's crucial to understand whether the 'Store' field is expected to be a strong predictor based on the business context. If the client expects that different stores inherently have different sales volumes due to factors like location, size, or customer base, this correlation may be both meaningful and desired.
* Potential Data Leakage: High correlation warnings can sometimes indicate data leakage, where a predictor (like 'Store') might inadvertently include information about the outcome variable (daily sales quantity). It's essential to verify whether this correlation makes sense logically or if it's skewing the model predictions.
* Client Consultation: Consulting with the client helps ensure that any modeling decisions align with their business knowledge and expectations. It's about validating the model against real-world expectations and ensuring it remains a useful tool for decision-making.
By taking these steps, the consultant not only adheres to best practices in data science by validating model inputs and their implications but also ensures that the model aligns with the client's business strategies and operational realities.

NEW QUESTION # 112
Universal Containers' sales team is looking to build a dashboard that shows the total revenue from their top
10 accounts (based on revenue) and make it dynamic with the filters of the dashboard.
Which action is required to accomplish this?

A. Create a query and sort descending by revenue and limit it to 10 results.
B. Create 2 query with a selection based interaction asa filter using the limit query to pass in the 10 Account IDs.
C. Create a query with a results based interaction as a filter using the limit query to pass in the 10 Account IDs.

Answer: A

Explanation:
To create a dashboard showing the top 10 accounts by revenue dynamically, the best approach is to create a query that sorts the accounts in descending order by revenue and limits the results to the top 10. This query can then be used as the data source for the widget, ensuring that it dynamically adjusts based on the filters applied to the dashboard.
This method efficiently handles the task because sorting by revenue and limiting the results to 10 ensures that only the top accounts are displayed, and it remains dynamic with dashboard filters.

NEW QUESTION # 113
The CRM Analytics consultant at Universal Containers notices that some users have access to sensitive data and dashboards they should not have access to in the Manager's app.
How should the consultant fix the problem?

A. Apply data encryption using Salesforce Shield.
B. Create separate apps, datasets, and dashboards, and share them with the proper users.
C. Develop separate dashboards and datasets and put them in the Manager's app.

Answer: B

NEW QUESTION # 114
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