The Salesforce CRM-Analytics-and-Einstein-Discovery-Consultant exam is part of the Salesforce Consultant,CRM Analytics and Einstein Discovery Consultant certification path. It is designed for professionals who work with CRM Analytics and Einstein Discovery to build insights, configure analytics solutions, and support business decisions. Earning this certification shows that you understand how to design, implement, and secure analytics solutions in a Salesforce environment. It matters for consultants who want to prove practical knowledge and credibility in analytics-driven projects.
| # | Exam Topics | Sub-Topics | Approximate Weightage (%) |
|---|---|---|---|
| 1 | Data Layer | Data modeling, dataset preparation, data sources, data transformation | 20% |
| 2 | Security | Access control, sharing settings, row-level security, data permissions | 15% |
| 3 | Admin/Configuration | Setup options, app configuration, user management, solution maintenance | 15% |
| 4 | Analytics Dashboard Design | Dashboard planning, lens selection, visualization choice, user requirements | 15% |
| 5 | Analytics Dashboard Implementation | Dashboard building, filters, widgets, interactivity, deployment steps | 20% |
| 6 | Einstein Discovery | Story creation, prediction insights, model interpretation, recommendations | 15% |
This exam tests both conceptual understanding and practical ability across CRM Analytics and Einstein Discovery. Candidates must know how to configure solutions, interpret data, design dashboards, and apply security and admin concepts correctly. It also checks whether you can work through real-world scenarios and choose the right implementation approach.
QA4Exam.com provides Exam PDF content with actual questions and answers, plus an Online Practice Test that helps you prepare in a focused way for the Salesforce CRM-Analytics-and-Einstein-Discovery-Consultant exam. The practice format gives you a real exam simulation so you can understand the question style, improve speed, and manage time better. The questions are updated and the answers are verified, which helps you study with more confidence. By reviewing both the PDF and the practice test, you can strengthen weak areas and prepare for the exam on your first attempt.
This exam is intended for professionals in the Salesforce Consultant,CRM Analytics and Einstein Discovery Consultant track who work with CRM Analytics and Einstein Discovery solutions.
It can be challenging because it covers data, security, dashboard design, implementation, and Einstein Discovery concepts in practical scenarios.
Braindumps alone are not the best approach. You should also understand the concepts, review the topics, and practice with realistic questions.
Hands-on experience is very helpful because the exam tests practical knowledge of configuration, dashboards, security, and Einstein Discovery use cases.
They help you review actual questions and answers, practice in an exam-like format, and improve time management so you can answer more confidently.
QA4Exam.com provides verified answers and updated practice content to help you study with better accuracy and prepare more effectively.
Yes, the Online Practice Test is designed to simulate the exam experience so you can become familiar with the question style and pacing.
If that happens, reviewing the weak areas and practicing again with updated questions can help you improve before your next attempt.
Universal Containers builds a new sales dashboard and wants to make sure account managers can access the dashboard while traveling.
What should the consultant consider doing in this process?
A consultant runs the sharing inheritance coverage assessment for the Opportunity object and finds that some records exceed 400 sharing descriptors.
What should the consultant do?
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 use security 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.
Which statement best describes how to ensure CRM Analytics dashboards are easily used across both desktop and mobile devices?
To ensure that CRM Analytics dashboards are optimally usable on both desktop and mobile devices, creating multiple layouts tailored to each device type is crucial. Here's why Option C is the best approach:
Device-Specific Layouts: By creating specific layouts for each device type, you ensure that the dashboard contents are presented in a manner best suited to the screen size and interaction model of the device.
Layout Selectors: These are used to automatically display the appropriate layout based on the device accessing the dashboard, enhancing user experience without manual intervention.
Widget Customization: Resizing or hiding certain widgets for specific device layouts ensures that the dashboard remains clean, uncluttered, and easy to navigate, regardless of the device used.
At Universal Containers, a dashboard is built to track sales metrics. The Opportunity amount field has conditional formatting added --- it turns green for closed won and red for closed lost.
How should a CRM Analytics consultant enhance the dashboard design to become more accessible to users with color vision challenges?
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.
What can a consultant accomplish in the Predictions page of a model?
In the Predictions page of a model within CRM Analytics (formerly Einstein Discovery), users have the capability to interact with the model to see how different input values affect predictions. Here's a detailed look at what can be accomplished:
Manual Input of Predictor Values: Users can manually input or change values for predictor fields to see how these changes alter the predicted outcomes. This is especially useful for testing hypothetical scenarios and understanding how sensitive the model is to various inputs.
Real-Time Interaction: This functionality provides a hands-on way to explore the model's behavior, offering immediate feedback on how input variations impact predictions, which can help in refining the model or in training users on its application.
Scenario Analysis: By adjusting predictor values, users can conduct scenario analyses, which are crucial for strategic planning and decision-making.
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