Analytics-Con-202 Prüfungsmaterialien & Analytics-Con-202 Testking

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Salesforce Analytics-Con-202 Exam Syllabus Topics:

Section	Weight	Objectives
Establish Governance and Support Published Content	16%	- Deploy and manage content lifecycle 1. Content distribution and publishing strategy 2. Workbook lifecycle and maintenance - Apply governance strategy 1. Security, data quality, and certification strategy 2. Map governance requirements to Tableau capabilities
Evaluate Current State	22%	- Map current state of analytics to future state 1. Translate analytical requirements using best practices 2. Map business needs to Tableau capabilities 3. Recommend Tableau Server vs Tableau Cloud including migration - Evaluate current data structures 1. Assess whether existing data supports business needs 2. Evaluate data lineage and performance risks
Design and Troubleshoot Calculations and Workbooks	40%	- Optimize workbook performance 1. Identify and resolve performance bottlenecks 2. Leverage performance recordings and caching - Design visualizations and advanced analytics 1. Recommend advanced chart types and densification 2. Apply Tableau order of operations - Implement and optimize calculations 1. Table calculations, date functions, and aggregations 2. Level of Detail (LOD) expressions
Plan and Prepare Data Connections	22%	- Design row-level security (RLS) and advanced connections 1. Recommend connection methods and Tableau Bridge 2. Implement RLS and entitlement structures - Plan for data transformation 1. Recommend appropriate data transformation strategy 2. Specify granularity requirements

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Salesforce Analytics-Con-202 Prüfung Übungen und Antworten

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Salesforce Certified Tableau Next Consultant Analytics-Con-202 Prüfungsfragen mit Lösungen (Q28-Q33):

28. Frage
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?

A. Remove the filter that matches the parent Account ID to the Account ID in the semantic model, then add a filter for Opportunity ID from the semantic model equal to Opportunity ID from the record, and save.
B. Add a filter for Opportunity ID from the semantic model equal to Opportunity ID from the record, and save.
C. Remove the filter that matches the parent Account ID to the Account ID in the semantic model, then add a filter for Opportunity ID from the semantic model equal to Account ID from the record, and save.

Antwort: A

Begründung:
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.

29. Frage
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?

A. Create a separate, cloned semantic model for every individual regional sales manager.
B. Apply a dynamic USERNAME() filter directly within the semantic model's settings.
C. Apply data access and masking policies at the Data 360/Data Object layer.

Antwort: C

Begründung:
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.

30. Frage
Universal Containers wants to ensure its users are able to view, explore, and follow metrics. What is the minimum license level that grants this ability?

A. Tableau Next Unmetered Included App
B. Tableau Next Unmetered Consumer
C. Tableau Next Unmetered Self-Service Analyst

Antwort: B

Begründung:
The minimum general Tableau Next persona that can view, explore, and follow metrics is the Tableau Unmetered Consumer level represented by B.
Salesforce documents that Consumer users can access the Tableau Next home experience, use Tableau Agent, view workspaces, dashboards, and visualizations, and view, explore, and follow metrics. Salesforce's metric- specific documentation likewise identifies Tableau Unmetered Consumer and equivalent Consumer/Self- Service Consumer permission sets as sufficient to follow metrics.
A Self-Service Analyst can also perform these actions, but that persona includes significantly broader capabilities and therefore is not the minimum required level. Analysts can work with Tableau Next Studio and, depending on the permission set, create or edit analytical content.
An Included App license is narrower. Included App/Limited Consumer personas are designed primarily to interact with prepackaged Tableau Next Apps for Salesforce rather than provide general Tableau Next home and metric exploration capabilities.
The exam principle is to select the least-privileged persona that fully satisfies the requirement, rather than assigning authoring permissions merely because they also include consumption capabilities.
References/Topics: Basic Setup and Admin - > Tableau Next Licenses and Permission Sets - > Consumer - > Metric Exploration and Following.

31. Frage
During agent testing, a Tableau Next Consultant asks, "Who are the top-performing AEs?" and the Tableau Agent returns results based on opportunity count, when the business definition of "top-performing" is based on annual contract value (ACV). Which configuration change best resolves this issue?

A. Add a Business Preference stating, "When a user asks about top-performing, calculate it using ACV."
B. Rename the ACV field to "Performance" in the semantic data model.
C. Add a Verified Question that manually maps this query to the correct ACV based result.

Antwort: A

Begründung:
This is a textbook use case for Business Preferences. Salesforce defines Business Preferences as business- specific instructions stored within the semantic model that tell Analytics Q & A how to interpret an organization's terminology, defaults, jargon, and business logic.
The expression "top-performing" is ambiguous in ordinary language. The organization has explicitly defined it to mean performance ranked by Annual Contract Value. A Business Preference such as "When users ask about top-performing AEs, use ACV to determine performance" supplies precisely that missing business context.
Renaming ACV to Performance would reduce semantic clarity and distort the actual meaning of the field.
ACV should retain its authoritative business name.
A Verified Question can help calibrate frequently asked questions and improve responses to semantically similar queries, but the underlying issue here is a reusable business-language interpretation rule, not merely one incorrect Q & A example. Business Preferences are therefore the more appropriate semantic mechanism.
Salesforce also recommends keeping Business Preferences concise and using them for contextual interpretation rather than structured calculations that belong in calculated fields or metrics.
References/Topics: Agentic Experiences - > Business Preferences - > Business Terminology - > Analytics Q
& A Accuracy.

32. Frage
A Tableau Next Consultant is asked to configure row-level security (RLS) for sensitive HR data. Where should this be defined?

A. In the visualization properties.
B. In the dashboard filters.
C. In the semantic model.

Antwort: C

Begründung:
Row-level security for this scenario should be defined in the semantic model so the governed analytical layer determines which records each user is allowed to retrieve. By applying RLS at the semantic-model level, the access rule travels with the analytical definitions used by metrics, visualizations, dashboards, and agentic experiences instead of depending on a particular dashboard layout.
Dashboard filters and visualization properties are presentation controls. They can alter what appears on a given screen, but they are not an appropriate substitute for a security rule because a user could potentially access the same underlying semantic content through another approved analytical surface. The restriction therefore belongs in the model that governs how analytical queries resolve against the sensitive HR dataset.
For an HR scenario, the RLS rule can be based on attributes such as employee, manager, department, region, or another authorized access dimension. The objective is to ensure that every downstream analytical experience receives only the rows permitted for the signed-in user. This centralizes security behavior and reduces the risk of inconsistent filtering across dashboards.
References/Topics: Data Setup - > Semantic Models - > Row-Level Security - > Governed HR Data.

33. Frage
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