Salesforce Analytics-Con-201合格問題 & Analytics-Con-201的中関連問題

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Salesforce Analytics-Con-201 Exam Syllabus Topics:

Section	Weight	Objectives
Security & Access	12%	- Sharing & Permissions 1. Implement row-level security and inheritance 2. Configure app, dataset, and field-level security 3. Manage user and group access
Dashboard Design & Development	25%	- Build & Configure Dashboards 1. Use SAQL for advanced queries 2. Create lenses, steps, and visualizations 3. Implement bindings, filters, and interactions - Design Principles 1. Apply best practices for usability and performance 2. Design for mobile and Lightning compatibility
Analytics Administration & Deployment	18%	- Implementation & Maintenance 1. Monitor and optimize query performance 2. Manage versioning and deployment 3. Use Dashboard Inspector and Publisher
Einstein Discovery	22%	- Model Building & Configuration 1. Select prediction type: numeric, binary, multi-class 2. Prepare and assess data for modeling 3. Train, evaluate, and refine models - Deployment & Usage 1. Interpret results and recommendations 2. Monitor and maintain model performance 3. Embed predictions in dashboards and Lightning pages
Data Layer	23%	- Data Management & Optimization 1. Optimize dataset performance 2. Resolve data sync and refresh issues 3. Implement data modeling and relationships - Data Sources & Integration 1. Define datasets and map Salesforce objects 2. Use Dataflows and Recipes for transformation 3. Extract, load, and prepare data using Data Manager

>> Salesforce Analytics-Con-201合格問題 <<

信頼できるAnalytics-Con-201合格問題 & 資格試験におけるリーダーオファー & 検証するSalesforce Salesforce Certified CRM Analytics and Einstein Discovery Consultant

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Salesforce Certified CRM Analytics and Einstein Discovery Consultant 認定 Analytics-Con-201 試験問題 (Q53-Q58):

質問 # 53
The sales team at Cloud Kicks is requesting that datasets for their dashboards be refreshed every hour. The CRM Analytics consultant investigates if this is possible and finds that the dashboards use five datasets created from two recipes. The first recipe takes 43 minutes to run and the second recipe takes 25 minutes to run.
Which consideration should the consultant keep in mind?

A. The number of concurrent recipe run limits that are associated with the org.
B. The number of concurrent recipe runs can exceed the limit of two in a 24-hour rolling period.
C. The total duration of the recipe runtimes can exceed the limit of 1 hour.

正解：C

解説：
In CRM Analytics, recipes are used to prepare and combine data for datasets. The total duration of the recipe runtime is an important consideration when scheduling dataset refreshes. In this case, the combined runtime for both recipes (43 minutes + 25 minutes = 68 minutes) exceeds 1 hour. Since dataset refreshes cannot be scheduled more frequently than the total recipe runtime, it would beimpossible to refresh the datasets every hour. This limitation must be considered when managing dataset refresh schedules.

質問 # 54
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 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".
B. 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' == "$User.Id".
C. As part of the recipe, use a formula on the Roleid fildto create an attribute called 'ParentRolelDs' on the dataset, and apply the following security predicate: 'ParentRolelDs' ==''$UserRoleId'' || Owned\ ==
'$User,id\\,

正解：B

解説：
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.

質問 # 55
A system administrator at Cloud Kicks creates a joined report to showcase the new business deals closing in the current quarter, which was well received by the business stakeholders. A manager wants to visualize this report on CRM Analytics.
The CRM Analytics consultant determines the report can be trended on CRM Analytics, but it's not working as expected.
What is causing the issue?

A. Trending dashboards cannot be created from joined reports.
B. The Analytics Integration user did not have permission to view the report on Salesforce.
C. The Salesforce report was filtered on quarterly data which meant it did not have enough data to trend on CRM Analytics.

正解：A

質問 # 56
CRM Analytics users at Cloud Kicks are granted access to an app with specific dashboards. When trying to download a specific widget, they are unable to do so.

A. The dashboard has been created for internal use and theusers have a view only license.
B. The users have access to the dashboard but not the dataset.
C. The permission set for the users is missing the download data permission.

正解：C

質問 # 57
Exhibit.

Universal Containers has a dashboard for sales managers to visualize the Year Over Year (YoY) growth of their customers. The formula used is:
YoY = [(This Year - Last Year) / Last Year] %
Based on the graphic, when there is not an account in the Last Year column, the YoY Growth shows null results. The sales managers want to replace it with 100% value.
What is the correct function to use?

A. coalesce()
B. substr()
C. replace()

正解：A

質問 # 58
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