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

Topic
Details

Topic 1

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 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
recipes limits.

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.

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Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions (Q109-Q114):

NEW QUESTION # 109
A customer is reviewing a story that is set to maximize the daily sales quantity of consumer products in stores, and the customer sees chart related to promotional activities and to San Francisco specifically.
What conclusion can be drawn from this insight?
What conclusion can be drawn from this Insight?

A. Of all promotions types in San Francisco, sales were the highest using Display promotion.
B. The best promotion type is Display.
C. The Other stores (visualized with the gray bars) show no significant data for the sales promotions.
D. Promotions increase sales stronger in San Francisco than they do in other cities.

Answer: D

NEW QUESTION # 110
When organizing information in an Einstein Analytics dashboard, what does the "Progressive Disclosure' design principle mean'

A. Only provide the user with the level of detail they need to see, with the option to drill down deeper into more details.
B. Implement strict security predicates to minimize the amount of information displayed to users.
C. Utilize the latest templates for the most modern look and feel.
D. Intentionally omit specific details so that users can do ad-hoc exploration if needed for root-cause analysis.

Answer: A

NEW QUESTION # 111
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. Editor
B. Manager
C. Viewer
D. Designer

Answer: A

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 # 112
In the list of insights, the first insights that you see are the ones that explain, statistically, the most variation in the outcome variable. The insights that appear later, as you scroll through the story, explain variables that, statistically, account for less of the variation in the outcome variable.
When you select one variable, what are you comparing?

A. Selected variable average with the mean
B. Selected variable with all story data
C. Selected variable with a different variable
D. Selected variable with CLV
E. Selected variable average with the filtered average

Answer: B

NEW QUESTION # 113
A CRM Analytics consultant is building a dashboard for Cloud Kicks that is embedded in a separate Lightning page called "Management Dashboard" using a CRM Analytics Dashboard Component. The system administrator and the contract manager should both have access. The system administrator is able to see the dashboard and the data, but the contract manager sees a blank Lightning page.
What is causing the issue?

A. The consultant has set up/enabled a 'Hide on Error' feature for the dashboard while embedding it.
B. The consultant has set up a dashboard filter condition for data to be visible to system administrators only.
C. The consultant has set up component visibility for the dashboard for system administrators only.

Answer: C

NEW QUESTION # 114
......

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Oliver Adams Oliver Adams

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