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CRM-Analytics-and-Einstein-Discovery-Consultant Best Preparation Materials | CRM-Analytics-and-Einstein-Discovery-Consultant New Question

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

Topic
Details

Topic 1

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 2

Admin
Configuration: This topic takes Salesforce consultants on a journey through the enablement of CRM Analytics. It tests their ability to design a solution that is suitable for data sync
dataflows
recipe limits.

Topic 3

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.

Topic 4

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.

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Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions (Q61-Q66):

NEW QUESTION # 61
Universal Containers (UC) creates a dataset, "Book11", containing a budget per region per month for the first 6 months of the year, as shown in the graphic below. Now, UC wants to create a lens showing the total budget for each region for each month. Every combination of region and month must be shown in the lens, even if there is no data.

How should a CRM Analytics consultant help UC build this lens?

A. Use a "fill" statement in SAQL query with a "partition" parameter.
B. Use a "Compare Table" and add a column leveraging the "Running Total" function.
C. Use a "Compare Table" and use the "Show Totals" option.

Answer: B

NEW QUESTION # 62
Which chart type is best suited to track progress of sales revenue that is realized versus the target?

A. Flat gauge
B. Bar chart
C. Pivot table
D. Pie chart

Answer: A

NEW QUESTION # 63
As part of their analysis, Yasmine, Tonya, and Hadiqa need to create and save lenses to their project app. What is the minimum app role they need to do this?

A. Designer
B. Manager
C. Viewer
D. Editor

Answer: D

Explanation:
Save changes to existing dashboards, lenses, and datasets in the app (saving dashboards requires the appropriate permission set license and permission) available in Editor and Manager*##**##*

NEW QUESTION # 64
consultant is reviewing a model that is set to maximize the daily sales quantity of consumer products in stores, and they see this recommendation.

Which action should the consultant take?

A. Ignore alert; the explanation of variation is only 35%, which is below 50%,
B. Remove the Store field from the model definition, because that is the recommended action.
C. Verify client expectations that Store is a strong predictor for daily sales quantity.

Answer: C

Explanation:
Upon reviewing the data model and noticing the high correlation alert between 'Store' and daily sales quantity, the appropriate action is to verify with the client their expectations regarding the influence of the Store field on daily sales. Here's the rationale:
Understanding the Role of 'Store' in the Model: Before making any changes to the model, it's crucial to understand whether the 'Store' field is expected to be a strong predictor based on the business context. If the client expects that different stores inherently have different sales volumes due to factors like location, size, or customer base, this correlation may be both meaningful and desired.
Potential Data Leakage: High correlation warnings can sometimes indicate data leakage, where a predictor (like 'Store') might inadvertently include information about the outcome variable (daily sales quantity). It's essential to verify whether this correlation makes sense logically or if it's skewing the model predictions.
Client Consultation: Consulting with the client helps ensure that any modeling decisions align with their business knowledge and expectations. It's about validating the model against real-world expectations and ensuring it remains a useful tool for decision-making.
By taking these steps, the consultant not only adheres to best practices in data science by validating model inputs and their implications but also ensures that the model aligns with the client's business strategies and operational realities.

NEW QUESTION # 65
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. Duplicate the dashboards and their respective datasets, and move the assets to a separate app for the sales rep.
B. Leverage the CRM Analytics asset visibility feature to hide the assets from the users.
C. Remove the dashboard from the 'Run App' navigation list so the sales reps cannot navigate to these dashboards.

Answer: B

Explanation:
In CRM Analytics, you can control the visibility of dashboards and other assets using the asset visibility feature. This allows the consultant to restrict access to specific assets (like dashboards) for certain groups of users, such as sales reps, without needing to duplicate datasets or move dashboards to another app. This is the most efficient way to manage access for dashboards in progress while allowing only sales managers to view the in-progress dashboards.

NEW QUESTION # 66
......

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