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| Section | Weight | Objectives |
|---|---|---|
| Plan and Prepare Data Connections | 22% | - Plan for data transformation
|
| Design and Troubleshoot Calculations and Workbooks | 40% | - Design visualizations and advanced analytics
|
| Evaluate Current State | 22% | - Map current state of analytics to future state
|
| Establish Governance and Support Published Content | 16% | - Deploy and manage content lifecycle
|
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NEW QUESTION # 52
A Tableau Next Consultant has completed all the required Salesforce setup steps for Agentforce for Analytics in Slack. However, when the consultant tests it in Slack, they're not seeing the Agentforce icon on a Tableau Next metric card. The consultant confirms that the agent is built from the Analytics and Visualization template and uses the Data Analysis subagent. What is an additional criteria that must be met for the icon to appear?
Answer: A
Explanation:
The Analytics and Visualization Agent must be installed in Slack and enabled for the workspace. Creating the agent from the correct template and including the Data Analysis subagent is necessary, but those steps alone do not expose the conversational experience on Slack metric or dashboard cards.
Salesforce documents several criteria that Slack checks before displaying the Ask Agentforce for Analytics capability. The qualifying Analytics and Visualization agent must be installed and enabled in the Slack workspace, use the Data Analysis subagent, originate from the same Salesforce org as the shared Tableau Next asset, and be accessible to the user through the relevant agent permissions.
A Personal Org is not required; in fact, conversational analytics has specific Personal Org limitations. Nor must an administrator initiate Tableau Agent on behalf of ordinary users. Properly licensed and authorized users can invoke it themselves.
This question tests the distinction between configuring an agent inside Salesforce and actually making that agent available through an external collaboration surface such as Slack.
References/Topics: Embedding, Cross-Cloud, and Interoperability - > Integrate Analytics Across Platforms -
> Tableau Next in Slack - > Enable Tableau Agent in Slack.
NEW QUESTION # 53
A Tableau Next Consultant is asked to configure agent scoping. What is the purpose?
Answer: A
Explanation:
Agent Scoping determines which approved semantic models Tableau Agent can search when a user's question lacks sufficient analytical context. Salesforce describes Agent Scoping as defining a fallback list of semantic models for a particular analytics agent. This fallback is used when Tableau Agent cannot infer the appropriate model from the current page or analytical asset.
Examples include asking Tableau Agent a question from Slack or embedding the agent on a page that contains no Tableau Next metric or dashboard. In those circumstances, the agent uses its approved fallback models to determine the appropriate semantic context.
When a user asks a question from a dashboard or metric that already supplies clear analytical context, Salesforce states that Tableau Agent uses the semantic models associated with that asset instead of the fallback list. User permissions remain enforced at runtime; placing a model on the fallback list never grants unauthorized access.
Option B is incorrect because Agent Scoping does not enforce row-level security; Data 360 governance and user permissions perform that function. Option C is unrelated to agent routing.
References/Topics: Agentic Experiences - > Tableau Agent - > Agent Scoping - > Fallback Semantic Models
- > Context Resolution.
NEW QUESTION # 54
A Tableau Next Consultant identifies an issue with the default filtering on a metric embedded on an Opportunity record page. The metric is showing data aggregated for the parent account of the Opportunity, but it should be filtered to the Opportunity level. The consultant has verified that the relevant dimensions are added to the metric definition. Which change should the consultant make to the metric?
Answer: C
Explanation:
The existing parent-account filter is causing the metric to operate at Account scope, so merely adding another filter does not correctly express the desired record context. The consultant should remove that Account-based mapping and configure the metric dimension Opportunity ID to equal the Opportunity ID of the current Salesforce record. Therefore, B is correct.
Salesforce's embedded Tableau Next components support Record Value filtering on Lightning record pages.
With Record Value, the filter dynamically retrieves a field from the Salesforce record currently being viewed and compares it against the selected field or dimension in the Tableau Next data model.
Option A fails to remove the inappropriate parent Account filter, leaving conflicting or overly restrictive context. Option C maps unlike identifiers-Opportunity ID against Account ID-which is logically invalid.
This question tests contextual embedding architecture: the metric definition must expose the required dimension, while Lightning App Builder supplies the current record value used to dynamically scope the embedded metric.
References/Topics: Visualizations and Dashboards - > Embedded Tableau Next Metrics - > Record Value Filters - > Lightning Record Context.
NEW QUESTION # 55
A Tableau Next Consultant at Ursa Major Solar is creating a Tableau Next dashboard to monitor at- risk opportunities. The sales manager needs a way for sales reps to initiate follow- up tasks for specific opportunities directly from a dashboard widget. This action must trigger an existing Salesforce flow designed for task creation. Which action type should the consultant add to the widget to meet this requirement?
Answer: C
Explanation:
The consultant should configure a Salesforce Flow action on the dashboard widget. Tableau Next supports single-click dashboard actions that can directly initiate Salesforce Flows using dashboard context. Salesforce even documents a virtually identical use case: enabling sales representatives to create a follow-up task directly from a dashboard widget displaying at-risk opportunities.
When configuring the action, the consultant selects Salesforce Flow as the action type, chooses an eligible flow, and maps the flow's input variables to static or dynamic dashboard values. Tableau Next currently supports standard screen flows and autolaunched flows for this capability.
A parameter action is fundamentally an analytical interaction mechanism and is not the native mechanism for executing a Salesforce Flow. Option C refers generally to Salesforce actions on visualization records, but the scenario explicitly identifies a dashboard widget that must initiate an existing Salesforce Flow. The dedicated Flow action is therefore the precise implementation.
This capability illustrates Tableau Next's actionable-analytics design: the user moves directly from recognizing an analytical condition to initiating an operational Salesforce process without leaving the dashboard.
References/Topics: Visualizations and Dashboards - > Single-Click Actions - > Salesforce Flow Actions - > Dynamic Input Mapping.
NEW QUESTION # 56
Cloud Kicks (CK) is designing a unified Customer 360 semantic data model (SDM). CK requires strict row level security (RLS) so that regional sales managers can only query and view accounts within their assigned territories. What is the recommended best practice for enforcing this security requirement in Tableau Next?
Answer: A
Explanation:
Tableau Next row-level security should be implemented through Data 360 governance policies, making B correct. Salesforce explicitly states that for Data 360 DLOs and DMOs, record-level security is defined through Data 360 policies. Tableau Next dashboards and visualizations built on those objects then inherit the enforced data visibility.
For example, the account dataset can include an attribute identifying the responsible territory or regional manager. A Data Governance access policy can evaluate the current user's relevant attributes and restrict returned records accordingly. Because security is enforced below the semantic and visualization layers, the same rules consistently protect dashboards, metrics, Tableau Agent queries, and other downstream consumers.
Option A describes the traditional Tableau USERNAME() pattern, but current Tableau Next guidance explicitly states that native user functions such as USERNAME() aren't the preferred/current RLS implementation for this architecture. Option C creates serious scalability, maintenance, and consistency problems and violates centralized governance principles.
The architectural rule is: define security as close to the governed data layer as possible so every downstream analytical experience inherits the same policy.
References/Topics: Data Setup - > Data 360 Governance - > Row-Level Security - > Access Policies - > Data Object Security.
NEW QUESTION # 57
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