여러분은 우리. DumpTOP의Salesforce Analytics-Con-202시험자료 즉 덤프의 문제와 답만 있으시면Salesforce Analytics-Con-202인증시험을 아주 간단하게 패스하실 수 있습니다.그리고 관련 업계에서 여러분의 지위상승은 자연적 이로 이루어집니다. DumpTOP의 덤프를 장바구니에 넣으세요. 그리고 DumpTOP에서는 무료로 24시간 온라인상담이 있습니다.
| Section | Weight | Objectives |
|---|---|---|
| Plan and Prepare Data Connections | 22% | - Design row-level security (RLS) and advanced connections
|
| Evaluate Current State | 22% | - Evaluate current data structures
|
| Establish Governance and Support Published Content | 16% | - Apply governance strategy
|
| Design and Troubleshoot Calculations and Workbooks | 40% | - Design visualizations and advanced analytics
|
>> Analytics-Con-202최신버전 시험덤프문제 <<
여러분은 우선 우리 DumpTOP사이트에서 제공하는Salesforce인증Analytics-Con-202시험덤프의 일부 문제와 답을 체험해보세요. 우리 DumpTOP를 선택해주신다면 우리는 최선을 다하여 여러분이 꼭 한번에 시험을 패스할 수 있도록 도와드리겠습니다.만약 여러분이 우리의 인증시험덤프를 보시고 시험이랑 틀려서 패스를 하지 못하였다면 우리는 무조건 덤프비용전부를 환불해드립니다.
질문 # 58
A Tableau Next Consultant is asked to configure proactive alerts for metrics. Which prerequisite must be met before alerts can be created?
정답：C
설명：
Inspector Proactive Data Alerts operate against Tableau Next metrics, and Tableau Next metrics are semantic definitions created within the Tableau Semantics layer. Salesforce describes a metric as a governed business KPI derived from measures in a semantic model. Metrics can then support exploration, goals, thresholds, and Inspector alerts.
Therefore, B represents the architectural prerequisite among the supplied options. An alert must have a valid metric whose governed definition provides the measure, aggregation, temporal context, and other analytical semantics Inspector evaluates.
A user does not need to embed the metric in a dashboard. Salesforce's documented alert workflow starts from the Tableau Next metric page, where the user opens Tableau Agent and asks it to create an alert against that metric.
Option A is also not the fundamental prerequisite described by architecture. Although alert-management experiences can be reached through metric-related surfaces, the key technical dependency is the existence of the metric itself.
Current configuration also requires Tableau Agent/Data Analysis and Inspector Proactive Alerts to be enabled administratively. These are environment-level prerequisites, but they are not among the answer choices.
References/Topics: Agentic Experiences - > Inspector Proactive Data Alerts - > Metrics - > Semantic Models - > Data Analysis.
질문 # 59
A Tableau Next Consultant successfully creates a calculated field using Data Connection and Analytics Creation Subagent involving a Sales data model object (DMO) and Customer DMO. However, when attempting a similar calculation involving a Territory DMO, Data Pro fails. What is the most likely cause?
정답：C
설명：
Data Pro-now increasingly referred to under Semantic Modeling functionality-depends on relationships already defined between the data model objects participating in a generated calculated field. Salesforce explicitly states that a predefined relationship must exist between DMOs for Data Pro to create a calculated field spanning those objects. The agent cannot construct a valid cross-object calculation when the required relationship does not exist.
Therefore, if calculations involving Sales and Customer work but introducing Territory causes the operation to fail, the most likely issue is that Territory is not relationally connected to the relevant objects.
Good metadata and field descriptions improve semantic clarity and AI accuracy, but insufficient descriptions are not the hard technical prerequisite being tested. Likewise, Salesforce does not document a general two- DMO maximum corresponding to option C.
The broader architectural principle is that generative semantic-model functionality does not replace proper data modeling. AI features consume the semantic model's existing object structure, metadata, and relationships. Consultants must establish valid relationships before expecting Tableau Agent to synthesize calculations involving fields from multiple objects.
References/Topics: Data Setup - > Semantic Models - > DMO Relationships - > AI-Generated Calculated Fields - > Data Pro/Semantic Modeling.
질문 # 60
A Tableau Next Consultant receives a request from a business user to help troubleshoot an issue with setting data alerts using Tableau Agent. The consultant verifies that the business user has been granted a Tableau Next Consumer license and is accessing Tableau Agent from a page with Tableau Next on it. Which reason explains why the business user is unable to set the alert?
정답：C
설명：
The limiting factor in this scenario is the user's license level. Setting proactive data alerts through Tableau Agent is an authoring-oriented capability that requires Tableau Next Creator access. A Consumer user can view and interact with published analytical content, but the Consumer persona does not receive the full set of creation and configuration capabilities needed to define alert conditions.
The fallback semantic model in option B is used when Tableau Agent lacks clear analytical context, such as when a user invokes the agent from a surface that does not already identify the relevant Tableau Next asset.
Here, the user is explicitly accessing Tableau Agent from a page that contains Tableau Next content, so lack of fallback scoping is not the primary issue. Option A can prevent analysis of a particular metric, but the question establishes a broader inability to set the alert and emphasizes that the user has a Consumer license.
The appropriate remediation is therefore to use the Creator-level entitlement for users who must configure proactive alerts. This preserves the distinction between consumption permissions and analytical creation
/configuration permissions.
References/Topics: Agentic Experiences - > Tableau Agent - > Proactive Data Alerts - > Creator Permissions.
질문 # 61
A Tableau Next Consultant is configuring a Salesforce Flow action on a dashboard widget. The flow requires an input value based on what a user clicks on another dashboard widget. Which input mapping type should the consultant select?
정답：B
설명：
The correct mapping is Dynamic Widget Field with a Selection interaction because the flow input must depend specifically on a value that the user selects in another dashboard widget. Salesforce distinguishes two dynamic interaction types when mapping dashboard data to Salesforce Flow inputs: Selection and Result. A Selection interaction passes the value resulting from the user's selection in a widget, whereas a Result interaction passes a value derived from the widget query results.
A Static String would supply the same manually configured value every time and therefore cannot satisfy a requirement in which the flow input changes according to what the user clicks.
Operationally, the consultant configures the Salesforce Flow action, identifies the required flow input, selects Dynamic Widget Field, chooses the source widget and field, and sets the interaction type to Selection. This creates an actionable analytical experience where a user's interaction with dashboard data can directly feed contextual values into a Salesforce business process.
References/Topics: Visualizations and Dashboards - > Analyze and Share Data - > Add Single-Click Actions to Your Data - > Salesforce Flow Actions.
질문 # 62
Universal Containers wants to allow sales reps to ask natural language questions about their pipeline directly from Salesforce mobile. Which configuration is required?
정답：A
설명：
The correct requirement is to enable the conversational analytics capability represented by Agentforce for Analytics, now called Tableau Agent. Salesforce explicitly lists the Salesforce Mobile app as a supported surface for Tableau Agent with the Data Analysis subagent. Users can ask natural-language analytical questions within Salesforce and receive grounded answers and visualizations based on their semantic models.
The terminology in option A is older but still maps directly to the current capability. Salesforce states that, beginning in July 2026, Agentforce for Analytics in Tableau Next is called Tableau Agent, while Concierge:
Analytics Q & A became the conversational analytics capability enabled by Data Analysis.
No custom Lightning component is required merely to expose this supported conversational experience on Salesforce mobile. Likewise, deploying traditional dashboards to mobile would enable dashboard consumption but would not itself provide the requested natural-language Q & A experience.
References/Topics: Agentic Experiences - > Tableau Agent - > Data Analysis - > Salesforce Mobile - > Conversational Analytics.
질문 # 63
......
DumpTOP는 유일하게 여러분이 원하는Salesforce인증Analytics-Con-202시험관련자료를 해결해드릴 수 잇는 사이트입니다. DumpTOP에서 제공하는 자료로 응시는 문제없습니다, 여러분은 고득점으로 시험을 통과할 것입니다.
Analytics-Con-202인기덤프: https://www.dumptop.com/Salesforce/Analytics-Con-202-dump.html