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Salesforce Analytics-Con-201 Exam Syllabus Topics:

SectionObjectives
Topic 1: Data Integration and Connectivity- Connecting external data sources
- Data synchronization and refresh strategies
Topic 2: Einstein Discovery- Model building and predictions
- Insights interpretation and recommendations
Topic 3: Data Management and Preparation- Dataset creation and configuration in CRM Analytics
- Data transformation and dataflows
Topic 4: Dashboard and App Development- Interactive filters and user experience optimization
- Lens creation and dashboard design
Topic 5: Security and Access- App and dataset permissions
- Row-level security and sharing rules

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Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions (Q96-Q101):

NEW QUESTION # 96
AW Computing will start using Tableau Online to report on some of its Salesforce data to users who do NOT have an SFDC license.
What is the first step the CRM Analytics consultant should take?

Answer: C


NEW QUESTION # 97
An CRM Analytics consultant creates a model to maximize the satisfaction of cases. They want to deploy the mode! and further use the model and predictions in an existing automated business process powered by Salesforce Flow.
What is the most efficient way to accomplish this?

Answer: A


NEW QUESTION # 98
Several users are complaining they are unable to see a specific dashboard on a Salesforce Lightning page anymore. The CRM Analytics consultant logs in as one of the users and sees an error page once the dashboard is opened.
How should the consultant solve this issue?

Answer: B


NEW QUESTION # 99
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?

Answer: B

Explanation:
To create a timeline chart similar to the one shown, the following parameters are typically required:
* 1 Measure: This could be the count of Closed Won opportunities or any other relevant metric that needs to be tracked over time.
* 1 Grouping by a Date Field: This is essential to plot the timeline effectively. The date field would typically be the close date of the opportunities.
* Additional Groupings: Depending on the complexity and the detail needed, additional groupings can be added. For example, grouping by region or product line can provide more insights into the timeline. If trellis is used, it allows for the creation of multiple smaller charts within the main chart, each representing a slice of data based on the additional groupings.
This setup helps visualize the evolution of Closed Won opportunities over time, making it easy to spot trends, seasonal patterns, or other relevant insights.


NEW QUESTION # 100
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?

Answer: B


NEW QUESTION # 101
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