CRM-ANALYTICS-AND-EINSTEIN-DISCOVERY-CONSULTANT TRAINING ONLINE - CRM-ANALYTICS-AND-EINSTEIN-DISCOVERY-CONSULTANT REAL QUESTIONS

CRM-Analytics-and-Einstein-Discovery-Consultant Training Online - CRM-Analytics-and-Einstein-Discovery-Consultant Real Questions

CRM-Analytics-and-Einstein-Discovery-Consultant Training Online - CRM-Analytics-and-Einstein-Discovery-Consultant Real Questions

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CRM-Analytics-and-Einstein-Discovery-Consultant Real Questions | CRM-Analytics-and-Einstein-Discovery-Consultant Braindump Free

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

TopicDetails
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
  • recipes limits.
Topic 3
  • 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.

Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions (Q67-Q72):

NEW QUESTION # 67
A customer is reviewing a story that is set to maximize the daily sales quantity of consumer products in stores and sees this chart. The visualized tooltip belongs to the blue bar for San Francisco, reflecting, November daily sales quantities in that city specifically.
What two conclusions can be drawn from this insight?

  • A. The average daily quantity in San Francisco stores in November was 1239 items higher than the average of all November sales in the country
  • B. The average daily in SAN Francisco stores in November as 1601 items higher than the global average of 335.
  • C. The average daily quantity in San Francisco stores in November was 1239 items higher than the average of all other months in San Francisco.
  • D. November sales are higher than in other months. This November-effect is the strongest in San Francisco.

Answer: B,C


NEW QUESTION # 68
CRM Analytics uses permissions of the Integration User to extract data from Salesforce objects and fields when a dataflow/recipe job runs.
Why should a consultant be cautious while syncing objects and fields containing sensitive data?

  • A. The Integration User has Create and Modify All Data access.
  • B. The Integration User has View All Data access.
  • C. The Integration User has Modify All Data access.

Answer: B


NEW QUESTION # 69
What is another name for the type of insight that examines how one variable explains variation of the outcome variable?

  • A. Second-order analysis
  • B. Spectrum analysis
  • C. Object-oriented analysis
  • D. Third-order analysis
  • E. First-order analysis

Answer: E


NEW QUESTION # 70
Yasmine wants to create a lens with the Seed Bank Orders dataset, but she currently doesn't see any rows in the dataset. Since Yasmine is Hadiqa's manager, Yasmine asks Hadiqa if she's experiencing the same problem, but Hadiqa replies that she can see all the rows. Why is this happening?

  • A. Yasmine wasn't assigned a permission set.
  • B. Yasmine doesn't have the Create and Edit Analytics Dashboards permission.
  • C. The dataset's security predicate was set up incorrectly.
  • D. Yasmine doesn't have the Manager app role.

Answer: C


NEW QUESTION # 71
A client has two datasets that are used across seven different dashboards. Three of these dashboards are used by marketing and four are used by sales. The client requires that only marketing can access the marketing dashboards and only sales can access the sales dashboards.
Which solution should a consultant recommend?

  • A. Create three custom apps: one for marketing dashboards with marketing as "viewer", one for sales dashboards with sales as "viewer", and one for datasets where marketing and sales are "viewer".
  • B. Duplicate the datasets and create two custom apps: one for marketing dashboards and datasets with marketing as "editor" and one for sales dashboards and datasets with sales as "editor".
  • C. Use two custom apps: one for marketing dashboards with marketing as "viewer" and one for sales dashboards with sales as "viewer". Add the datasets as references to both custom apps.

Answer: A


NEW QUESTION # 72
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