Get Salesforce CRM Analytics and Einstein Discovery Consultant Exam Practice Questions - Real and Updated

Answer : C

Answer : C

Answer : B

For the scenario at Cloud Kicks where fields display with their API labels and the fields in a values table seem to change order randomly, the correct approach is to modify these settings in the dataset explorer within CRM Analytics. This allows for a more intuitive display and control over how data is presented in dashboards.

Here's how these adjustments help:

Modifying Field Labels: Changing the field labels from their API names to more user-friendly names enhances readability and user experience. This can be done directly in the dataset explorer, which affects how fields appear across all dashboards utilizing that dataset.

Controlling Field Order: The order of fields in a values table can seem random if not explicitly set. By using the dataset explorer, a designer can specify the order in which fields appear, which then reflects consistently in the dashboard's values table.

This functionality is part of CRM Analytics' aim to provide flexible and customizable data visualization tools. Training on these features is available through various Salesforce Trailhead modules that discuss dashboard and dataset customization techniques, providing practical insights and guided tutorials to enhance dashboard design and user interaction.

Both these explanations are consistent with best practices as outlined in Salesforce's CRM Analytics documentation and the Trailhead educational content, ensuring that users are well-equipped to leverage the full capabilities of CRM Analytics for effective data management and presentation.

Answer : C

In CRM Analytics, when planning to enable data sync, one of the critical considerations is the limit on the number of objects that can be enabled for data sync. This limit is essential because it determines how many different Salesforce objects (like Accounts, Opportunities, etc.) can be synchronized concurrently. Exceeding this limit could impact the performance of existing sync jobs or prevent new sync jobs from being configured.

Key points to consider include:

Performance Impact: Syncing too many objects simultaneously can lead to increased load times and potential delays in data availability, impacting users' ability to access up-to-date information.

Resource Allocation: CRM Analytics allocates resources based on the number of objects being synchronized, and there are practical limits to these resources to ensure stable and efficient operation.

For a more detailed understanding and to manage these limits effectively, Salesforce provides documentation and guidelines within the CRM Analytics resources, which can be further explored in the Trailhead modules specifically focusing on data management and synchronization practices.

Answer : C

When designing for different device types in CRM Analytics, particularly for mobile layouts, it's crucial to consider how the layout will respond not just on mobile devices but also under various display conditions on desktops. Here's the rationale for focusing on this consideration:

Responsiveness: Layouts designated for tablets or phones may also be triggered on desktop environments if conditions such as browser window size or embedded frame dimensions mimic those typical of smaller devices.

Design Flexibility: Understanding this behavior is essential for creating versatile dashboards that maintain functionality and visual integrity across all potential viewing scenarios.

User Experience: Ensuring that the dashboard behaves predictably across device types and sizes enhances user engagement and effectiveness, as it provides a consistent experience regardless of the access point.

This approach ensures that the dashboard remains functional and accessible no matter how or where it is being viewed, aligning with best practices for responsive and adaptive design in modern analytics environments.