CORRECT REAL ANC-201 EXAM DUMPS & PASS-SURE SALESFORCE CERTIFICATION TRAINING - VERIFIED SALESFORCE BUILDING LENSES, DASHBOARDS, AND APPS IN TABLEAU CRM

Correct Real ANC-201 Exam Dumps & Pass-Sure Salesforce Certification Training - Verified Salesforce Building Lenses, Dashboards, and Apps in Tableau CRM

Correct Real ANC-201 Exam Dumps & Pass-Sure Salesforce Certification Training - Verified Salesforce Building Lenses, Dashboards, and Apps in Tableau CRM

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Salesforce ANC-201 (Building Lenses, Dashboards, and Apps in Tableau CRM) Certification Exam is an essential certification for professionals who want to demonstrate their expertise in building Tableau CRM applications. It covers various topics related to building lenses, dashboards, and apps in Tableau CRM and tests the candidate's proficiency in using Tableau CRM data. Passing this certification exam provides an industry-recognized certification that can enhance the candidate's career prospects and validate their knowledge of Tableau CRM.

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Salesforce Building Lenses, Dashboards, and Apps in Tableau CRM Sample Questions (Q38-Q43):

NEW QUESTION # 38
Universal Containers reports that any selection in the List widget is not affecting the Pie chart in one of their Einstein Analytics dashboards. The step options associated with the List widget and Pie chart are shown in the graphic.

Given that the steps are using different datasets. which two changes can an Einstein Consultant make to solve this issue' Choose 2 answers

  • A. Use "Connect Data Sources" and create a connection to connect the two widgets.
  • B. Use selection binding in the filters section of the step "Type_l."
  • C. Use 'Connect Data Sources" and create a connection to connect the two datasets.
  • D. Use selection binding in the filters section of Che step "Step_pie_2."

Answer: C,D


NEW QUESTION # 39
A training dataset Is being prepared for a Einstein Discovery story. One skewed with outliers. at action should the Einstein consultant take?

  • A. Remove the field because it has bad data
  • B. Remove the outlier rows.
  • C. Nothing, because the field is not the outcome variable.
  • D. Change the method of binning to fixed width.

Answer: D


NEW QUESTION # 40
When creating a story in Einstein Discovery, do all potential collinear fields need to be removed before executing the build story'5

  • A. No. Although it is ideal to eliminate collinearity as soon as possible, Einstein will give a warning post-build and the ridge regression will prevent collinearity from over-fitting.
  • B. Yes. If the collinear variables are not removed, the Einstein Discovery model build will fail.
  • C. yes. If all collinear variables are not excluded, the model will over-fit and not make any sense.
  • D. No. Einstein Discovery is impervious to collinearity, so the story and subsequent model will be fine.

Answer: A


NEW QUESTION # 41
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. Use the different chart types to make the dashboard interesting and appealing.
  • C. Design the dashboard with the desktop in mind and use the same layout for mobile devices for consistency.
  • 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 # 42
Universal Containers (UC) is rolling out CRM Analytics to its field sales that include dashboards withorder data from an external source.
UC has a well-defined role hierarchy where everyone is assigned to an appropriate node on the hierarchy. In addition, the order data has a reference to a Salesforce opportunity.
An individual sales rep should be able to view all orders that they own or as part of the account team or opportunity team. The sales manager should be able to view all orders for the entire sales team. Similarly, the VP of sales should be able to view orders for everyone who rolls up in that hierarchy.
The dataset has a field called Ownerld which represents the order owner.
Given this information, how should a CRM Analytics consultant implement the above requirements?

  • A. As part of the recipe, use a formula on the Roleid fild to create an attribute called 'ParentRolelDs' on the dataset, and apply the following security predicate: 'ParentRolelDs' == ''$UserRoleId'' || Owned == '$User,id\,
  • B. As part of the recipe, use a multi row formula on the Roleld field to create an attribute called 'ParentRoleIDs' on the dataset, and apply the following security predicate: "$User.UserRoleld" || 'Ownerld' == "$User.Id".
  • C. As part of the recipe, use the flatten operation on the role hierarchy, create a multi-value attribute called 'ParentRoleIDs' on the dataset, and apply the following security predicate: 'ParentRoleIDs' == "$User.UserRoleld" || 'TeamMember.Id' '$User, Id" || 'Ownerld' == "$User.Id".

Answer: C

Explanation:
In addressing the requirements of Universal Containers to ensure proper visibility of order data across different levels of the sales hierarchy, the use of a security predicate based on role hierarchies is paramount. Here's why Option B is the ideal approach:
Flatten Operation on Role Hierarchy: This operation is essential as it allows for the creation of a simplified or "flattened" view of the hierarchical relationships within the organization. This flattened view enables the dataset to understand and respect the hierarchical structure in security implementations.
Creating a Multi-value Attribute ('ParentRoleIDs'): By creating this attribute, the recipe can hold multiple role IDs that a particular user has visibility permissions for. This is crucial in a hierarchical organization like UC where data visibility needs to cascade down the hierarchy.
Security Predicate: The predicate ('ParentRoleIDs' == "$User.UserRoleld" || 'TeamMember.Id' == '$User.Id' || 'Ownerld' == "$User.Id") effectively enforces that:
A user can see all orders where their role matches any of the role IDs in the 'ParentRoleIDs' list (hierarchical visibility).
A user can see all orders where they are specifically listed as a team member.
A user can see all orders where they are the owner.
This approach aligns with best practices for implementing row-level security in CRM Analytics, ensuring data visibility is managed correctly according to the defined organizational hierarchy and individual data ownership.


NEW QUESTION # 43
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