Reliable CRM-Analytics-and-Einstein-Discovery-Consultant Mock Test & Test CRM-Analytics-and-Einstein-Discovery-Consultant Topics Pdf

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

Topic	Details
Topic 1	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 2	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 3	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.
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.
Topic 5	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.

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Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions (Q108-Q113):

NEW QUESTION # 108
When Analytics runs a dataflow that accesses Salesforce objects, which user does it use?

A. The system administrator
B. The record owner
C. The Integration User
D. The current user

Answer: C

NEW QUESTION # 109
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 column header is prefixed with "X" upon upload.
B. The column header Is set to *&**(&*(%.
C. The column header is auto-updated to "Column" + column number.

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 # 110
How do you post to Chatter from a Sales Wave dashboard?

A. Send an email to a team member with "chatter:" in the subject line
B. Right click any bar and type your message
C. Open the Actions menu for an opportunity or account and select Post
D. Select Post to Chatter from the Actions drop-down at the top of the dashboard

Answer: C

NEW QUESTION # 111
Which capability can a consultant use if "Deploy without connecting to a Salesforce Object" is selected while deploying the model?

A. Einstein Predictions Component score
B. Predict Function in Salesforce flows
C. No-Code Writeback to SFDC objects

Answer: B

Explanation:
When deploying a model with the option "Deploy without connecting to a Salesforce Object", the suitable capabilities include:
Use of Predict Function in Salesforce Flows: This capability allows the deployed model to be used within Salesforce Flow as a predictive tool, enabling automation flows to include predictions without directly writing back to Salesforce objects.
Flexibility in Application: This method provides flexibility in how predictions are utilized across various Salesforce processes and workflows, without the need for direct data manipulation within Salesforce objects.
Enhanced Workflow Integration: By integrating predictive insights directly into flows, organizations can automate decision-making processes, enhance user interactions, and streamline operations based on predictive outcomes.
This setup aligns with Salesforce's best practices for leveraging CRM Analytics to enhance operational efficiency and decision accuracy across different business functions.

NEW QUESTION # 112
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 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".
C. 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' == "$User.UserRoleId" && 'Ownerld' == "SUser.Id".
D. As part of the dataflow, use the flatten operation on the role hierarchy and create a multivalue attribute called 'ParentRolelDs' on the opportunity dataset and apply following security predicate: 'ParentRolelDs' == "$User.UserRoleId" || TeamMember.Id' == "$User. Id" || 'Ownerld' == "SUser.Id".

Answer: D

NEW QUESTION # 113
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Reliable CRM-Analytics-and-Einstein-Discovery-Consultant Mock Test & Test CRM-Analytics-and-Einstein-Discovery-Consultant Topics Pdf

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

2025 Salesforce CRM-Analytics-and-Einstein-Discovery-Consultant Unparalleled Reliable Mock Test

Salesforce Certified CRM Analytics and Einstein Discovery Consultant Sample Questions (Q108-Q113):

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