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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	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 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.
Topic 4	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 (Q48-Q53):

NEW QUESTION # 48
Number of queries per user per day

A. 20,000
B. 10,000
C. 50,000
D. 1,000

Answer: B

NEW QUESTION # 49
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. Limit widget actions and exploration so users will focus only on the high-level information.
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. Use charts to help users ask questions, not illustrate a conclusion.

Answer: D

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

NEW QUESTION # 50
A large company is rolling out Einstein Analytics to their field sales. They have a well-defined role hierarchy where everyone is assigned to an appropriate node on the hierarchy.
An individual Sales rep should be able to view all opportunities that she/he owns or as part of the account team or opportunity team. The Sales Manager should be able to view all opportunities for the entire Sales team. Similarly, the Sales Vice President should be able to view opportunities for everyone who rolls up in that hierarchy.
The opportunity dataset has a field called 'Ownerld' which represents the opportunity owner.
Given this information, how can an Einstein Consultant implement the above requirements?

A. As part of the dataflow, use computeExpression on the Roleld field to create an attribute called 'ParentRolelDs' on the opportunity dataset and apply following security predicate: 'ParentRolelDs' == "$User.UserRoleId" || 'Ownerld' == "$User.Id".
B. As part of the dataflow, use the flatten operation on the role hierarchy and create a multivalue attribute called 'ParentRolelDs' on the opportunity dataset and apply following security predicate: 'ParentRolelDs' == "$User.UserRoleId" || TeamMember.Id' == "$User. Id" || 'Ownerld' == "SUser.Id".
C. As part of the dataflow, use computeRelative on the Roleld field to create an attribute called 'ParentRolelDs' on the opportunity dataset and apply following security predicate: 'ParentRolelDs' == "$User.UserRoleId" || 'Ownerld' == "$User.Id".
D. As part of the dataflow, use the flatten operation on the role hierarchy and create a multivalue attribute called 'ParentRolelDs' on the opportunity dataset and apply following security predicate: 'ParentRolelDs' == "$User.UserRoleId" && 'Ownerld' == "SUser.Id".

Answer: B

NEW QUESTION # 51
Mosaic recently hired a new development coordinator, Zoe. First, Danielle grants Zoe the Einstein Analytics Platform license, but Zoe reports that she still can't access Einstein Analytics. What could be the problem?

A. Danielle still needs to grant Zoe a permission set containing the Manage Analytics permission.
B. An admin hasn't run a dataflow.
C. Danielle didn't share the Mosaic app with Zoe in Einstein Analytics.
D. Danielle still needs to grant Zoe a permission set containing the Use Analytics permission.

Answer: D

NEW QUESTION # 52
What are the steps in the data exploration process?

A. View, Explore, Refine, Save, Share
B. View, Explore, Reduce, Save, Share
C. Download, View, Refine, Save, Share

Answer: A

NEW QUESTION # 53
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