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When deploying a model with the option "Deploy without connecting to a Salesforce Object", the

suitable capabilities include:

Use of Predict Function in Salesforce Flows: This capability allows the deployed model to be used

within Salesforce Flow as a predictive tool, enabling automation flows to include predictions without

directly writing back to Salesforce objects.

Flexibility in Application: This method provides flexibility in how predictions are utilized across

various Salesforce processes and workflows, without the need for direct data manipulation within

Salesforce objects.

Enhanced Workflow Integration: By integrating predictive insights directly into flows, organizations

can automate decision-making processes, enhance user interactions, and streamline operations

based on predictive outcomes.

This setup aligns with Salesforce’s best practices for leveraging CRM Analytics to enhance

operational efficiency and decision accuracy across different business functions.

In deploying Einstein Discovery models that are tailored to different regions (EMEA, AMER, and

APAC), the best approach is to segment the account data by region and apply the specific model

designed for each segment. This method ensures the following:

Relevance and Accuracy: Each model can be specialized to understand and predict based on regional

dynamics, which may differ significantly across geographies in terms of market behavior, customer

p

, and economic conditions.

Efficiency: Deploying region-specific models avoids the dilution of predictive power that might occur

if a single model were used across all regions, which could lead to less accurate predictions.

Scalability: This approach is scalable as UC can further refine each model as more regional data

becomes available or as regional market conditions evolve.

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To address issues with unauthorized access to sensitive data and dashboards, the best practice is to

create separate apps, datasets, and dashboards for different user groups and then manage their

sharing settings appropriately. This allows you to maintain data security while ensuring that users

only access the data and insights that are relevant to their roles. In this scenario, applying separate

apps for managers with defined sharing rules will prevent users who shouldn’t have access from

seeing sensitive data.

Reference: Managing Data Access and Sharing in CRM Analytics

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When uploading CSV files into CRM Analytics, column headers must follow certain formatting rules.

Headers containing non-alphanumeric characters, such as "&**(&(%", will automatically be adjusted.

Specifically, if the column header starts with non-alphanumeric characters or contains such

characters, CRM Analytics will prefix the header with "X" to ensure compatibility with internal

naming conventions. This behavior ensures that the column can be referenced in the platform

without causing errors or conflicts.

Reference: You can find the CSV upload rules, including naming conventions and auto-formatting

behaviors, outlined in the Salesforce CRM Analytics documentation provided during training,

particularly under the module "Wave Analytics Explorer."

The CRM Analytics Dashboard Inspector is a powerful tool used to troubleshoot and optimize

dashboards. Its primary function is to display the underlying SAQL (Salesforce Analytics Query

Language) query executed for each widget. It helps users see the final query that is run and the

corresponding results. This feature allows CRM Analytics consultants and developers to diagnose

issues, optimize performance, and understand how data is being processed in the dashboard.

While the Inspector helps view execution times and identify bottlenecks, it does not automatically

resolve performance issues (which is why option B is incorrect). It simply provides visibility into

query performance and execution details, allowing the user to make manual optimizations.

Reference: Detailed information on the Dashboard Inspector tool can be found under the "Building

Lenses, Dashboards, and Apps in CRM Analytics" module and the Einstein Discovery training content

within Salesforce documentation.