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CRM-Analytics-and-Einstein-Discovery-Consultant Best Preparation Materials Exam | CRM-Analytics-and-Einstein-Discovery-Consultant: Salesforce Certified CRM Analytics and Einstein Discovery Consultant–100% free

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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
recipe limits.

Topic 3

Analytics Dashboard Implementation: Here, consultants embark on a creative exploration of dashboard configuration, optimization of query performance using Dashboard Inspector, and using advanced functionality such as windowing.

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Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions (Q37-Q42):

NEW QUESTION # 37
A consultant created a dashboard using Einstein Analytics for her client, a shipping company. It sources data from very large datasets. Now the client has requested that the consultant add more steps to the dashboard.
To ensure that the dashboard has acceptable performance, what two actions should the consultant take? Choose 2 answers

A. Split the steps and charts into different pages in a dashboard.
B. Avoid using conditional formatting.
C. Replace AggregateFlex steps with SAQL steps.
D. Check if any steps can be reused for multiple purposes.

Answer: A,D

NEW QUESTION # 38
The Universal Containers company thinks it knows everything about its business. However, Einstein Discovery surfaces an unexpected pattern that is concerning. They call in departmental experts and hold a meeting to discuss next steps with an Einstein Consultant.
What should the consultant advise as the next action'

A. Consult a Data Scientist for further analysis.
B. Determine if the pattern is a data issue or a new insight.
C. Accept the new pattern and have confidence that Einstein knows the business as accurately as the customer.
D. Filter out the data that causes the unexpected pattern and analyze the new results.

Answer: C

NEW QUESTION # 39
A Senior Sales Business Analyst asks for a dashboard that contains fiscal year product opportunities. Information is maintained in a spreadsheet which is comprehensive, but its contents often need to be explained. After sketching the dashboard, the consultant is ready to start building.
Which concept should be applied to this dashboard?

A. Use charts to help users ask questions, not illustrate a conclusion.
B. Design the dashboard with the desktop in mind and use the same layout for mobile devices for consistency.
C. Use the different chart types to make the dashboard interesting and appealing.
D. Limit widget actions and exploration so users will focus only on the high-level information.

Answer: A

Explanation:
https://help.salesforce.com/articleView?id=bi_dashboard_build_tips.htm&type=5

NEW QUESTION # 40
Refer to the graphic.

Einstein found a recommendation to improve the story: apparently there are two variables that behave the same. Given there is no additional information, what is the correct action?

A. Retain Amount; not knowing the size of a deal makes it hard to predict if will be won.
B. Retain Promotion; it is an actionable variable and without it, we cannot recommend prescriptive actions.
C. Cancel this story and redefine the dataset.
D. Do nothing; they appear to be similar, but there might be differences from the business perspective.

Answer: D

NEW QUESTION # 41
A CRM Analytics consultant has prepared a CSV file to be uploaded to CRM Analytics. By mistake, one of the column headers is modified as random non-alphanumeric characters "*&**(&*(%", which went unnoticed prior to uploading the file.
What is the expected behavior of the uploaded CSV column?

A. The columnheaderis prefixed with "X" upon upload.
B. The column header is auto-updated to "Column" + column number.
C. The column header Is set to *&**(&*(%.

Answer: A

Explanation:
When uploading CSV files into CRM Analytics, column headers must follow certain formatting rules.
Headers containing non-alphanumeric characters, such as "&**(&(%", will automatically be adjusted.
Specifically, if the column header starts with non-alphanumeric characters or contains such characters, CRM Analytics will prefix the header with "X" to ensure compatibility with internal naming conventions. This behavior ensures that the column can be referenced in the platform without causing errors or conflicts.

NEW QUESTION # 42
......

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Jack Moore Jack Moore

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