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Salesforce Analytics-Con-201 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Data Layer	23%	- Data Sources & Integration 1. Define datasets and map Salesforce objects 2. Extract, load, and prepare data using Data Manager 3. Use Dataflows and Recipes for transformation - Data Management & Optimization 1. Implement data modeling and relationships 2. Optimize dataset performance 3. Resolve data sync and refresh issues
Topic 2: Dashboard Design & Development	25%	- Build & Configure Dashboards 1. Use SAQL for advanced queries 2. Implement bindings, filters, and interactions 3. Create lenses, steps, and visualizations - Design Principles 1. Design for mobile and Lightning compatibility 2. Apply best practices for usability and performance
Topic 3: Einstein Discovery	22%	- Model Building & Configuration 1. Train, evaluate, and refine models 2. Select prediction type: numeric, binary, multi-class 3. Prepare and assess data for modeling - Deployment & Usage 1. Interpret results and recommendations 2. Monitor and maintain model performance 3. Embed predictions in dashboards and Lightning pages
Topic 4: Security & Access	12%	- Sharing & Permissions 1. Manage user and group access 2. Implement row-level security and inheritance 3. Configure app, dataset, and field-level security
Topic 5: Analytics Administration & Deployment	18%	- Implementation & Maintenance 1. Monitor and optimize query performance 2. Manage versioning and deployment 3. Use Dashboard Inspector and Publisher

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Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions (Q28-Q33):

NEW QUESTION # 28
A consultant is preparing a dataset to predict customer lifetime value and is collecting data from a questionnaire that asks for demographic information. A very small number of respondents fill in the Income box, but the consultant thinks that it is an informative column even though it only represents 1% of respondents.
What should the consultant do?

A. Apply the predict missing values transformation in recipe nodes.
B. Drop the field as it will be difficult to get future respondents.
C. Fill in the missing data with an average of all incomes.

Answer: A

Explanation:
Reference:CRM Analytics Recipes and Predict Missing Values

NEW QUESTION # 29
A consultant has been asked to build and embed a dashboard in a Lightning page. Users should only be able to change the dashboard contrast and open Analytics Studio from the header of the dashboard.
How should the consultant achieve this?

A. Deselect the "Show Share Icon" and "Enable Subscriptions" buttons.
B. Deselect the "Enable Notifications" and "Enable Subscriptions" buttons.
C. Deselect the "Enable Notifications" and "Enable Email" buttons.

Answer: B

NEW QUESTION # 30
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. 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.
B. 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,
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 # 31
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 # 32
The sales team at Cloud Kicks is requesting that datasets for their dashboards be refreshed every hour. The CRM Analytics consultant investigates if this is possible and finds that the dashboards use five datasets created from two recipes. The first recipe takes 43 minutes to run and the second recipe takes 25 minutes to run.
Which consideration should the consultant keep in mind?

A. The number of concurrent recipe run limits that are associated with the org.
B. The total duration of the recipe runtimes can exceed the limit of 1 hour.
C. The number of concurrent recipe runs can exceed the limit of two in a 24-hour rolling period.

Answer: B

Explanation:
In CRM Analytics, recipes are used to prepare and combine data for datasets. The total duration of the recipe runtime is an important consideration when scheduling dataset refreshes. In this case, the combined runtime for both recipes (43 minutes + 25 minutes = 68 minutes) exceeds 1 hour. Since dataset refreshes cannot be scheduled more frequently than the total recipe runtime, it would beimpossible to refresh the datasets every hour. This limitation must be considered when managing dataset refresh schedules.

NEW QUESTION # 33
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