Analytics-Con-201 Exam Dumps and Practice Questions

If a consultant at Cloud Kicks needs to use custom GeoJSON files for dashboard visualization and cannot upload the file via the CRM Analytics user interface (UI), the recommended action is to use the API for this purpose. Here's why this approach is suggested:

Functionality Limitation in UI: Currently, the CRM Analytics UI does not support direct uploads of GeoJSON files, which necessitates an alternative method.

API Flexibility: The API provides a more flexible route for uploading custom GeoJSON files, allowing consultants to integrate more complex or larger datasets that are not supported through standard UI functionalities.

Customization and Control: Using the API also offers greater control over how GeoJSON data is handled, processed, and utilized within CRM Analytics, catering to more advanced customization needs.

This method ensures that the consultant can fully utilize CRM Analytics' capabilities for creating highly customized geographic visualizations, thereby enhancing the analytical value of the dashboards.

When none of the fields have a correlation value greater than 4%, this does not necessarily mean the model is unusable. Low correlation values can still provide business value in discovery stories, especially if the findings align with business user expectations and insights. Einstein Discovery can identify meaningful patterns even with low individual correlations. The consultant should reassure the client that:

• Low correlation doesn't mean low predictive power when fields work together
• The model's predictions may still be accurate and actionable
• Business validation of findings is more important than arbitrary correlation thresholds
• The model can be deployed and monitored for performance

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.

When users see an error page opening a dashboard that previously worked, the most common cause is that the underlying dataset has been deleted or renamed. The consultant should:

• Verify the dataset associated with the dashboard still exists in CRM Analytics
• If deleted, check if it can be restored from backup or reconfigured
• If renamed, update the dashboard to reference the correct dataset name
• Verify data sync jobs are running successfully if the dataset relies on synced data
• Check for any recent changes to object or field accessibility that might have affected the dataset

This question references an exhibit that was not provided in the prompt. A timeseries query fix would typically involve:

• Ensuring the date/time dimension is properly formatted
• Checking that the timeseries grouping is appropriate (daily, monthly, yearly)
• Verifying null value handling in the timeseries
• Confirming the correct aggregation function is used
• Please provide the exhibit to give a specific answer.