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The Salesforce ANC-301 Certification is a valuable certificate that is designed to advance the professional career. With the Implement and Manage Tableau CRM (ANC-301) certification exam seasonal professionals and beginners get an opportunity to demonstrate their expertise. The Implement and Manage Tableau CRM certification exam recognizes successful candidates in the market and provides solid proof of their expertise.
Salesforce is a leading provider of customer relationship management (CRM) software solutions that help organizations to manage their customer interactions and data more effectively. One of the key components of Salesforce's CRM offering is Tableau CRM, a powerful analytics platform that enables users to visualize data and gain insights into customer behavior, trends, and patterns. To help professionals master this technology and demonstrate their expertise to employers, Salesforce has introduced the ANC-301 Implement and Manage Tableau CRM certification exam.
Salesforce ANC-301 Exam is an excellent choice for individuals looking to acquire practical skills in data analytics and business intelligence. With the increasing demand for Tableau CRM solutions in the modern business world, this certification helps individuals stand out in the competitive job market. ANC-301 exam also equips learners with hands-on experience in developing key Tableau CRM skills, which are essential prerequisite in any data-driven organization.
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Salesforce Implement and Manage Tableau CRM Sample Questions (Q52-Q57):
NEW QUESTION # 52
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 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".
- 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' == "$User.UserRoleId" && 'Ownerld' == "SUser.Id".
- D. As part of the dataflow, use computeExpression on the Roleld field to create an attribute called 'ParentRolelDs' on the opportunity dataset and apply following security predicate: 'ParentRolelDs' == "$User.UserRoleId" || 'Ownerld' == "$User.Id".
Answer: A
NEW QUESTION # 53
What are various ways to incorporate blank space in a CRM Analytics dashboard?
- A. 1. Use the "Cell Spacing" layout property.
2. Increase the dashboard granularity via columns, and use blank columns. - B. Use the "Fine" row height option in layout properties, and use blank rows, Use the "With Spacing" row height property.
- C. 1. Increase the dashboard granularity via columns, and use blank columns.Use pages to break content into multiple tabs.
Answer: A
Explanation:
Incorporating blank space into a CRM Analytics dashboard can be achieved effectively through the following methods:
Cell Spacing Layout Property: This allows for consistent spacing between cells, helping to create a visually organized and less cluttered dashboard.
Increasing Dashboard Granularity via Columns: Using blank columns as a method to create deliberate space can help in visually separating different dashboard elements, enhancing readability and focus.
These methods ensure that the dashboard is not only functional but also aesthetically pleasing and easy to navigate.
NEW QUESTION # 54
A versioning feature allows CRM Analytics users to be added as Publishers and make changes separately while a 'Live' version is still being used by other users. Once the changes are complete, the user can then set their updated version as the Live version.
Which CRM Analytics item is this leveraged for?
- A. App
- B. goats
- C. Dataset
Answer: A
Explanation:
In CRM Analytics, the versioning feature described is typically leveraged for Apps. This feature allows:
Parallel Development: Users can work on changes in a separate version without affecting the live version being accessed by others.
Controlled Publishing: Once changes are finalized, the user can then promote their version to be the new live version, ensuring seamless updates without disrupting ongoing usage.
Collaborative Workflows: Facilitates teamwork by allowing multiple users to propose and test changes in a controlled environment before making those changes live.
This approach ensures that CRM Analytics apps remain dynamic and can evolve over time while maintaining stability and continuity for end-users.
NEW QUESTION # 55
An Einstein Discovery team created a model to maximize the margin of their sales opportunities. They want to deploy the model to the Opportunity object in order to predict the outcome of every newly created or updated Opportunity.
What are the steps to accomplish this?
- A. Create an Apex batch on Opportunity and use the REST API to get predictions from Einstein Discovery.
- B. Create a trigger on Opportunity and install the Einstein Discovery Writeback managed package from the AppExchange.
- C. Create a trigger on Opportunity and use the Salesforce External Connector to get predictions from Einstein Discovery.
- D. Create a trigger on Opportunity and use the REST API to get predictions from Einstein Discovery.
Answer: B
Explanation:
Reference:
https://help.salesforce.com/articleView?id=bi_edd_wb_native.htm&type=5
NEW QUESTION # 56
A dataset for building the Einstein Discovery story contains 72 fields that are potentially relevant predictors.
Which approach is considered best practice to assess the top predictors in order to get to a meaningful and robust model?
- A. Build the story with all the predictors and indicate that Einstein Discovery should show the top predictors.
- B. Go back to the data preparation and reduce the number of fields to less than 30 in order to produce a story.
- C. Build a story with a first set of predictors and assess which predictors are important to the story. Then drop the less important ones and add the predictors that were omitted in the first run and assess their impact.
- D. This dataset is too big and cannot be used in Einstein Discovery. Request a new dataset with fewer predictors.
Answer: C
Explanation:
Reference:
https://medium.com/@kshannon565/ea-certification-study-guide-part-3-einstein-discovery-story-design-70ffbe4666c2
NEW QUESTION # 57
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