2025 CRM-ANALYTICS-AND-EINSTEIN-DISCOVERY-CONSULTANT EXAM CONSULTANT | TRUSTABLE CRM-ANALYTICS-AND-EINSTEIN-DISCOVERY-CONSULTANT 100% FREE NEW EXAM FORMAT

2025 CRM-Analytics-and-Einstein-Discovery-Consultant Exam Consultant | Trustable CRM-Analytics-and-Einstein-Discovery-Consultant 100% Free New Exam Format

2025 CRM-Analytics-and-Einstein-Discovery-Consultant Exam Consultant | Trustable CRM-Analytics-and-Einstein-Discovery-Consultant 100% Free New Exam Format

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Tags: CRM-Analytics-and-Einstein-Discovery-Consultant Exam Consultant, New CRM-Analytics-and-Einstein-Discovery-Consultant Exam Format, CRM-Analytics-and-Einstein-Discovery-Consultant Valid Test Topics, CRM-Analytics-and-Einstein-Discovery-Consultant Test Dumps, Free CRM-Analytics-and-Einstein-Discovery-Consultant Sample

The Salesforce Certified CRM Analytics and Einstein Discovery Consultant (CRM-Analytics-and-Einstein-Discovery-Consultant) certification test is an important part of career growth, and passing it may lead to more employment opportunities. However, preparing for the Salesforce Certified CRM Analytics and Einstein Discovery Consultant (CRM-Analytics-and-Einstein-Discovery-Consultant) test may be tough, and many busy applicants have difficulty cracking it. This is where ActualCollection Salesforce Certified CRM Analytics and Einstein Discovery Consultant real exam questions come to help you clear the test in a short time.

Salesforce CRM-Analytics-and-Einstein-Discovery-Consultant Exam Syllabus Topics:

TopicDetails
Topic 1
  • Security: Consultants stepping into this section will showcase their prowess in implementing necessary security settings. It covers critical aspects such as suitable dataset security settings, and the ability to implement app sharing.
Topic 2
  • Data Layer: In this comprehensive section, Salesforce consultants delve into the heart of data extraction and loading. It's all about showcasing a deep understanding of implementing refreshes for data syncs, performing data transformations, and implementing delivery management strategies in dataflows.
Topic 3
  • Analytics Dashboard Design: Building upon the design foundation, this section challenges candidates to bring their dashboard designs to life. It covers the technical expertise required to scope, validate, and prioritize dashboard design requirements.
Topic 4
  • Einstein Discovery: This section unveils the magic of AI-driven insights and candidates' ability to analyze and choose one of the three types of predictions. It involves leveraging Einstein's advanced analytics capabilities to adjust data parameters, add or remove data and columns for the improvement of the model.

>> CRM-Analytics-and-Einstein-Discovery-Consultant Exam Consultant <<

New Salesforce CRM-Analytics-and-Einstein-Discovery-Consultant Exam Format - CRM-Analytics-and-Einstein-Discovery-Consultant Valid Test Topics

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Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions (Q19-Q24):

NEW QUESTION # 19
What kind of insight is "What Is The Difference"?

  • A. Descriptive
  • B. Selective
  • C. Diagnostic
  • D. Prescriptive
  • E. Predictive

Answer: C

Explanation:
https://trailhead.salesforce.com/content/learn/modules/understand_einstein_discovery_stories/understand-what-is-the-difference-insights


NEW QUESTION # 20
After the initial creation of a model, the first model insight explains
93% of the variation of the outcome variable. This is unusually high.
What is the most likely reason for this?

  • A. The dataset contains multiple dominant values.
  • B. The outcome variable may be causing data leakage.
  • C. The model contains too many outlier values.

Answer: B


NEW QUESTION # 21
Why would you use a merge key in a dataset recipe?

  • A. To join related data from different sources
  • B. To deal with duplicate records
  • C. To find out what the merge icons represent in a dataset
  • D. To schedule when a dataset recipe runs

Answer: A


NEW QUESTION # 22
A CRM Analytics consultant is working on Sales dashboards with multiple datasets and advanced queries in the Sales Analytics app.
Sales managers in the organization have been given Editor/Manager access to the app, whereas sales reps have been given Viewer access.
Some dashboards that are in progress are not ready to be rolled out to sales reps and should only be viewable by sales managers.
How should the consultant accomplish this?

  • A. Leverage the CRM Analytics asset visibility feature to hide the assets from the users.
  • B. Remove the dashboard from the 'Run App' navigation list so the sales reps cannot navigate to these dashboards.
  • C. Duplicate the dashboards and their respective datasets, and move the assets to a separate app for the sales rep.

Answer: A


NEW QUESTION # 23
After getting approval for the dashboard layout design for a desktop, the CRM Analytics consultant is ready to start the design process for a mobile layout.
Which consideration should the consultant keep in mind?

  • A. Create a layout with the property "phone" to show the dashboard on the mobile app similar to creating a layout with the property "dashboard" to show on the desktop for the same dashboard,
  • B. If no layouts are eligible for the mobile device, an error message will be displayed but the dashboard will still be visible on the desktop without errors.
  • C. "Tablet" or "Phone" layout-where only minWidth and maxWidth have been set-may be displayed on a desktop if the dashboard is embedded in a small frame, or if the browser window is small.

Answer: C

Explanation:
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.


NEW QUESTION # 24
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