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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Basic Setup & Admin | 10% | - Agentic Analytics
|
| Topic 2: Managing Workspaces & Orgs | 10% | - Asset Deployment
|
| Topic 3: Visualizations & Dashboards | 15% | - Visualization and Dashboard Design
|
| Topic 4: Data Setup | 20% | - Data 360
|
| Topic 5: Embedding, Cross-Cloud, & Interoperability | 20% | - Tableau Next Apps and Marketplace
|
| Topic 6: Agentic Experiences | 25% | - Generative AI
|
>> Analytics-Con-202日本語試験対策 <<
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質問 # 25
A Tableau Next Consultant is asked to configure proactive alerts for executives. Which delivery channels are supported?
正解：B
解説：
Tableau Next proactive alerts support delivery through Slack and Email, making option A the correct choice.
The purpose of proactive alerting is to notify users when an important metric condition is met without requiring them to continually open dashboards and check the metric manually. Supporting collaboration and messaging channels allows the alert to reach executives in the tools they already monitor.
SMS-only delivery is not the supported model described here, and Microsoft Teams is not the exclusive proactive-alert channel. The alerting workflow is tied to Tableau Next metrics and the configured notification integrations. Once the metric, alert condition, and delivery configuration are in place, users can receive timely notification when the monitored value crosses the defined condition.
From an implementation perspective, consultants should confirm that the required alerting capability is enabled, that users can access the metric, and that the organization's Slack and email notification configuration is available. The analytical rule remains defined against the governed metric, while the selected channel determines how the resulting notification reaches the user.
References/Topics: Agentic Experiences - > Proactive Data Alerts - > Slack and Email Delivery.
質問 # 26
Cloud Kicks (CK) has created Tableau Next dashboards and visualizations in a sandbox. These assets rely on new semantic models also developed in the same sandbox. CK's Tableau Next Consultant plans to use a data kit to deploy all assets to the production org. During the data kit creation process, they added the dashboards and visualizations. Which step must the consultant perform to ensure the deployment succeeds?
正解：C
解説：
When Tableau Next assets and their semantic-model dependencies are deployed through a Data Kit, the consultant must explicitly review and correct the publishing sequence. Salesforce documents a minimum dependency sequence of Semantic Models - > Workspaces - > Visualizations - > Dashboards. This ordering is mandatory because visualizations depend on both semantic models and workspaces, while dashboards depend on their visualizations. Salesforce specifically warns that deployment can fail if the publishing sequence isn't reviewed and updated appropriately.
Selecting DevOps is part of creating the deployment Data Kit, but it does not automatically resolve every dependency sequence, making B insufficient. Salesforce notes that the default sequence can be based on asset creation dates and therefore might not match the required dependency order. A is also incorrect because semantic models and Tableau Next assets can be included in a Data Kit deployment to a production home org; deploying the semantic model separately through a change set is not the required approach.
References/Topics: Managing Workspaces and Orgs - > Data Kits - > DevOps Deployment - > Publishing Sequence - > Dependency Management.
質問 # 27
A Tableau Next Consultant is demonstrating how Tableau Agent provides transparency for its responses. A user asks Tableau Agent a question and receives a response with a visualization. The user now needs to examine how the agent arrived at the response. Which action must the user take in Tableau Agent to see this information?
正解：C
解説：
The user should select Sources. Tableau Agent's conversational analytics experience exposes a Sources control specifically to provide transparency into how a response was generated.
Salesforce documents that after Tableau Agent returns an analytical answer, users can select Sources to review details about how the agent analyzed the request, including the data sources and metrics used during the analysis. Salesforce also states that conversational analytics responses include information about the sources and reasoning used in the analysis, supporting traceability and user trust.
Option B concerns visualization configuration rather than agent reasoning and source grounding. Option C is not the documented Tableau Agent workflow for exposing reasoning provenance to end users.
This capability is important because Tableau Agent performs semantic queries against the underlying semantic model, synthesizes the returned data into a textual response, and generates a suitable visualization.
Sources helps users understand the analytical basis of that output rather than requiring them to accept an opaque AI-generated answer.
References/Topics: Agentic Experiences - > Tableau Agent - > Conversational Analytics - > Sources - > Response Transparency and Grounding.
質問 # 28
A Tableau Next Consultant is asked to configure incremental refresh for a data source. Which limitation applies?
正解：C
解説：
The documented limitation of Tableau Next Incremental Refresh for accelerated external connections is that it does not process deleted records. Salesforce states that an incremental refresh updates cached data with records that have been added or changed since the previous refresh, but deleted source data is not updated in the cache.
Consequently, options B and C are incorrect. Inserts are specifically part of incremental processing, as are updates to existing records. The limitation applies only to deletions.
This matters architecturally when data freshness requirements include removal of records. If the external source deletes a transaction, customer, product, or other row, repeated incremental refreshes can leave the old cached representation present. A Full Refresh is required to reconcile the cache completely because full refresh deletes the existing cached dataset and replaces it with a fresh source dataset.
Consultants should therefore choose refresh mode based on more than refresh frequency. Incremental refresh is efficient and can run frequently, but Full Refresh is required when complete source-state reconciliation, including deletions, is a business requirement.
References/Topics: Data Setup - > Data Acceleration - > Incremental Refresh - > Full Refresh - > Deleted- Record Handling.
質問 # 29
A Tableau Next Consultant has shared a workspace with a group of users and granted them Editor access at the workspace level. However, one of the users reports that they are still unable to edit a dashboard within that workspace. What is the most likely reason for this issue?
正解：A
解説：
Tableau Next applies both asset-sharing permissions and platform permission sets. Granting Editor access through workspace sharing cannot elevate a user's capabilities beyond those granted by the administrator.
Salesforce explicitly states that sharing doesn't override permissions set by the admin and that a user who lacks the permission set required to edit Tableau Next assets cannot edit an asset even when granted Editor access.
Therefore, C is correct.
Workspace-level access is designed to simplify administration. Users and Analytics Groups can be granted Viewer or Editor access to a workspace, with appropriate access applying to contained assets subject to underlying security and permission requirements. Consequently, B is incorrect as a general explanation.
Option A is also incorrect. Workspace owners can share assets subject to their own permissions, but inability of the affected user to edit is not because dashboards universally require a separate owner-assigned Editor permission.
Think of Tableau Next authorization as multiple gates: license - > Tableau Next permission set - > asset sharing - > underlying data access. A more permissive setting at a downstream sharing layer cannot bypass a restrictive upstream administrative permission.
References/Topics: Managing Workspaces and Orgs - > Workspace Sharing - > Editor Access - > Tableau Next Permission Sets - > Permission Inheritance.
質問 # 30
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