もちろん、試験に関連する資料を探しているとき、他の様々な資料を見つけることができます。しかし、調査や自分自身の試用の後、TopexamのAnalytics-Con-202問題集が試験の準備ツールに最適であることはわかります。Topexamの資料は試験に準備する時間が十分ではない受験生のために特別に開発されるものです。それはあなたを試験に準備するときにより多くの時間を節約させます。しかも、TopexamのAnalytics-Con-202問題集はあなたが一回で試験に合格することを保証します。また、問題集は随時更新されていますから、試験の内容やシラバスが変更されたら、Topexamは最新ニュースを与えることができます。
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Setup | 20% | - Data Architecture
|
| Topic 2: Managing Workspaces & Orgs | 10% | - Asset Management and Sharing
|
| Topic 3: Basic Setup & Admin | 10% | - Agentic Analytics
|
| Topic 4: Agentic Experiences | 25% | - Generative AI
|
| Topic 5: Embedding, Cross-Cloud, & Interoperability | 20% | - Cross-Platform Workflows
|
| Topic 6: Visualizations & Dashboards | 15% | - Dashboard Actions
|
経済の急速な発展に伴い、私たちに対する社会の要求はますます高くなっています。 Analytics-Con-202認定を取得できれば、社会での競争力が高まります。 Analytics-Con-202学習資料は、適切な認定を取得するのに役立ちます。信じてください。Analytics-Con-202学習教材を使用すると、作業効率が向上します。 Analytics-Con-202の無料のトレーニング資料は、他の人よりも労働市場で目立つようにし、より多くの機会があなたを見つけるためのイニシアチブを取ります。
質問 # 71
A Tableau Next Consultant needs to migrate a newly developed Tableau Next semantic model and its associated dashboards from a sandbox to the production environment. The two environments are part of the same Salesforce organization hierarchy. Which deployment method should the consultant use to natively move these assets?
正解：A
解説：
Among the listed choices, Inbound and Outbound Change Sets are the appropriate native Salesforce deployment mechanism. Tableau Next supports Salesforce Metadata API-based deployment capabilities, including change sets, for moving Tableau Next workspaces, visualizations, and dashboards between supported sandbox and target organizations. The workflow uses an outbound change set in the source org and an inbound change set in the target org.
The Data 360 Ingestion API is intended for bringing data into Data 360 rather than lifecycle deployment of Tableau Next metadata. The Tableau Cloud Site Migration Tool pertains to Tableau Cloud site migration and is not the Salesforce metadata deployment mechanism described here.
References/Topics: Managing Workspaces and Orgs - > Organize and Deploy Analytical Assets - > Deploy Tableau Next Assets.
質問 # 72
Cloud Kicks (CK) has created a semantic model and associated metrics to help improve the conversion rate for marketing driven leads. Sales and marketing teams both regularly review these metrics. When reviewing the project's results, CK discovers that both teams are looking at the same metrics, but often have parallel discussions in Slack without awareness of the other's conversation. Which functionality of Tableau Next in Slack should a Tableau Next Consultant highlight to improve cross- team collaboration?
正解：B
解説：
The Conversations tab is specifically designed to expose related Slack discussions associated with Tableau Next analytical assets. When a Tableau Next metric, dashboard, or visualization is shared in Slack, users can open its preview and select Conversations to browse related Slack channels, threads, or direct-message discussions that they are authorized to access.
This directly addresses the scenario: sales and marketing are already discussing the same analytical content, but those discussions are fragmented. Surfacing related conversations in the asset context enables teams to discover existing dialogue instead of unknowingly creating duplicate parallel threads.
Option A changes how metrics are surfaced but does not address visibility into conversations already occurring around those metrics. Option C creates yet another broadcast mechanism and does not consolidate or expose existing contextual discussions.
A key design point is that Slack permissions continue to apply. The Conversations tab does not reveal conversations that the current user is unauthorized to access. Instead, it creates analytical context across conversations the user can already legitimately view, preserving Slack security while improving cross-team awareness.
References/Topics: Embedding, Cross-Cloud, and Interoperability - > Tableau Next in Slack - > Related Conversations - > Conversations Tab.
質問 # 73
A Tableau Next Consultant is building a semantic model for a sales team. Although the "Profit Margin" field is defined, the Analytics Agent fails to surface it when users ask about "Earnings". Following best practice, how should the consultant resolve this within the semantic model?
正解：B
解説：
The semantic model should be enriched so the agent can associate the organization's business language
"Earnings" with the existing Profit Margin concept. Therefore, B is the correct answer. Semantic models provide the business-context layer that allows Tableau Agent to translate natural-language terminology into governed analytical definitions. Salesforce recommends clear, contextual names and descriptions and explicitly highlights synonyms as an important semantic consideration for agent readiness.
Salesforce's Tableau Semantics training also explains that synonyms broaden the agent's understanding of terminology used by business users, allowing alternate terms to map back to authoritative metrics and definitions.
Creating a duplicate metric merely to support another phrase introduces redundant semantic definitions and increases ambiguity. Salesforce specifically recommends eliminating redundant or overlapping calculated definitions rather than multiplying them. Changing aggregation from Average to Sum would alter mathematical behavior and does nothing to resolve a terminology-discovery problem.
References/Topics: Data Setup - > Create Semantic Models - > Design Semantic Models for AI Readiness -
> field descriptions, synonyms, ambiguity resolution.
質問 # 74
A Tableau Next Consultant wants to use size encoding to highlight the volume of sales for products on a scatter plot. However, once the consultant builds the chart, they realize that the marks are overlapping and high- volume selling products are obscuring lower volume products. What should the consultant do to improve the visibility of the chart while highlighting differential sales volumes?
正解：A
解説：
Tableau Next provides explicit controls for size encoding, including minimum and maximum mark-size limits. With relative size encoding, Minimum (% of cell) defines the smallest percentage of available cell space that a mark can occupy, while Maximum (% of cell) controls the largest. Adjusting these settings allows the author to retain sales-volume encoding while limiting oversized marks that obscure smaller ones.
Therefore, B directly addresses the visualization problem.
A dual axis changes the structural representation of the data rather than correcting excessive mark sizing and is unnecessary for this requirement. Increasing the physical dashboard container size might provide additional display space, but it does not directly control the relative size range of the marks and cannot reliably prevent high-value marks from dominating lower-value marks.
Tableau Next supports both Relative and Absolute size modes. Relative sizing is particularly useful when the visual objective is to emphasize differences across a continuous measure while maintaining visual readability.
The consultant should tune the minimum and maximum percentage parameters until the volume relationship remains perceptible without excessive overlap.
References/Topics: Visualizations and Dashboards - > Marks - > Size Encoding - > Relative Size - > Minimum and Maximum Percent of Cell.
質問 # 75
A Tableau Next Consultant is asked to configure proactive alerts for pipeline metrics. Which license type is required to set alerts?
正解：B
解説：
A Creator license is required to set proactive alerts for pipeline metrics in the scenario described. Creating an alert is more than passive consumption: the user defines a monitored condition, configures when that condition should trigger, and establishes an ongoing analytical action against the governed metric. Those capabilities fall within the Creator-level analytical configuration persona.
A Consumer can view and interact with published analytical content but does not receive the complete authoring and configuration privileges associated with creating alert definitions. The Viewer choice is even more limited and does not provide the required proactive-alert setup capability. Therefore, assigning Creator access is the appropriate licensing decision for users who must establish their own alerts.
The broader certification principle is to align licenses with the user's intended role. Users who only consume metrics should remain on the consumption tier, while users who need to create or configure analytical behavior-including proactive alert definitions-require the higher authoring entitlement. This separates governance and cost while ensuring that only appropriately licensed users can create monitoring rules.
References/Topics: Agentic Experiences - > Proactive Data Alerts - > Creator License Requirements.
質問 # 76
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