Salesforce Salesforce Certified CRM Analytics and Einstein Discovery Consultant (Analytics-Con-201) CRM-Analytics-and-Einstein-Discovery-Consultant Exam Dumps: Updated Questions & Answers (October 2025)

TheRepeater Widgetin CRM Analytics allows dynamic updates to be reflected on the dashboard automatically as data flows are updated. This means that as new account managers join or existing account managers change roles, the data in the widget will automatically reflect the latest information without manual updates. This is the most efficient way to keep the dashboard up-to-date with the current list of account managers.

Enhancing accessibility, especially for users with color vision challenges, is critical. Adding up and down arrows next to the KPIs:

Visual Cues: Provides a non-color dependent method to indicate whether metrics are positive (up arrow) or negative (down arrow).

Accessibility: Improves understanding for users with color vision deficiencies, ensuring that the dashboard is inclusive.

User Experience: Enhances the overall usability of the dashboard by making the interpretation of data straightforward and less reliant on color.

To ensure continuity in managing a CRM Analytics app at Cloud Kicks after the current manager leaves, it is critical to proactively assign a new manager. Here’s why this is the best approach:

Role Transition: Assigning a new manager before the current manager’s account is deactivated ensures there is no gap in app management, maintaining access and administrative continuity.

Avoid Disruption: Waiting for an automatic reassignment (which does not typically occur in CRM Analytics) or post-deactivation reassignment could disrupt the management and operation of the app, potentially leading to access issues or administrative challenges.

Proactive Management: This approach is in line with best practices for CRM system management, where critical roles and responsibilities are transitioned smoothly to avoid any operational disruptions.

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 preferences, 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.

When a record exceeds 400 sharing descriptors, it can cause performance issues or sharing rule complications in CRM Analytics. In such cases, the recommended solution is to usesecurity predicates, which allow fine-tuned control over which data is visible to users based on their sharing rules and permissions. Security predicates reduce the number of sharing descriptors by enforcing security at the dataset level rather than relying solely on record-sharing mechanisms.

Increasing the sharing descriptor limit is not an available option, and Salesforce Support does not typically increase this limit, making the use of security predicates the best approach.

For Cloud Kicks’ requirement to refresh dashboard data synchronously with the sync of an external connection to Google BigQuery, the most efficient method is:

Event-Based Triggers: Using CRM Analytics, you can set up recipes to run on an event-based trigger. This ensures that the recipe (which processes the data for the dashboard) only runs after the external data sync is completed.

Salesforce External Connection Syncs: By specifically targeting the synchronization event of the Salesforce external connection with Google BigQuery, the recipe ensures data consistency and timeliness without manual intervention.

Automation and Efficiency: This approach minimizes latency and maximizes data freshness, aligning data processing closely with data availability, thus enhancing dashboard accuracy.

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.