Pass the Salesforce Salesforce Consultant Tableau-CRM-and-Einstein-Discovery-Consultant Questions and answers with CertsForce

Two benefits of designing using the "Progressive Disclosure" principle are:

A: Improved ease of use for end users. By only displaying essential information initially and allowing users to access more detailed data as needed, dashboards become less cluttered and more user-friendly.

D: Better dashboard performance. This design principle can also lead to better performance as less data isprocessed and rendered initially, speeding up load times and responsiveness.

When developing a mobile layout for an Einstein Analytics dashboard, the consultant should consider:

A: If no layouts areeligible for the mobile device, the first defined layout is used. This ensures that there is always a fallback layout if none of the other defined layouts meet the device properties.

C: If more than one layout is eligible, the one with the most device properties set is used. If there is a tie, the most recently defined layout is used. This helps in choosing the most optimized layout for the device, enhancing user experience.

D: A layout for mobile is eligible for use when the device meets all the device properties set in the Layout panel. This consideration is crucial for ensuring that the layout displayed is suitable for the device’s capabilities and screen size.

When migrating an Einstein Analytics dashboard from a sandbox to production, several options are available:

Ant Migration Tool (A): This tool can be used for deploying metadata (including dashboards) between Salesforce environments.

Analytics REST API (C): This API can programmatically handle the deployment of dashboards from one environment to another.

Change sets (D): Change sets can include Einstein Analytics assets such as dashboards for migration between connected Salesforce environments.

In Tableau CRM (formerly Einstein Analytics), you can restrict access to data at the row level using security predicates. Security predicates are filter expressions added to datasets that dynamically restrict data access based on user attributes or record specifics. This method allows administrators to enforce data security policies directly within the dataset, ensuring that users only see data relevant and permitted to them, without altering the underlying data structure like removing rows manually or adding flags. Reference: https://help.salesforce.com/s/articleView?id=sf.bi_security_predicates.htm &type=5

Predicate is a name for a filter condition that defines row-level access to records in a dataset Example: "rowLevelSecurityFilter":"'AccountOwner' == \"$User.Name\""

The Event Monitoring Analytics app in Salesforce is specifically designed to analyze Event Log File data. This app provides insights into user behavior and system performance, helping organizations understand how their Salesforce environments are being used and how they can be optimized. The app includes prebuilt dashboards and metrics that focus on this specific type of data.

The best practice to ensure Einstein Analytics dashboards are easily used across both desktop and mobile devices is to create multiple layouts and ensure the layout selectors match the device. Additionally, resizing and hiding widgets as necessary helps ensure that the content is appropriately displayed and interacted with on the device screen size.

In Salesforce Tableau CRM, the limit on the number of queries that a user can execute per day is set to 50,000. This is designed to ensure optimal performance across the platform while providing sufficient capacity for users tocarry out extensive data analysis throughout the day.