Salesforce 인증 Analytics-Con-202시험이 너무 어려워서 시험 볼 엄두도 나지 않는다구요? Fast2test 덤프만 공부하신다면 IT인증시험공부고민은 이젠 그만 하셔도 됩니다. Fast2test에서 제공해드리는Salesforce 인증 Analytics-Con-202시험대비 덤프는 덤프제공사이트에서 가장 최신버전이여서 시험패스는 한방에 갑니다. Salesforce 인증 Analytics-Con-202시험뿐만 아니라 IT인증시험에 관한 모든 시험에 대비한 덤프를 제공해드립니다. 많은 애용 바랍니다.
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Evaluate Current State | 22% | - Map current state of analytics to future state
|
| Topic 2: Establish Governance and Support Published Content | 16% | - Deploy and manage content lifecycle
|
| Topic 3: Plan and Prepare Data Connections | 22% | - Plan for data transformation
|
| Topic 4: Design and Troubleshoot Calculations and Workbooks | 40% | - Implement and optimize calculations
|
>> Analytics-Con-202최신 업데이트 덤프문제 <<
Demo를 다운받아Salesforce Analytics-Con-202덤프의 일부분 문제를 체험해보시고 구매하셔도 됩니다. 저희 Fast2test에서는Salesforce Analytics-Con-202덤프의 일부분 문제를 샘플로 제공해드립니다. 덤프만 열공하시면Salesforce Analytics-Con-202시험패스가 가능하기에 저희 자료를 선택한걸 후회하지 않게 할 자신이 있습니다.
질문 # 60
Cloud Kicks (CK) uses CRM Analytics (CRMA) for operational embedded reporting within its Agentforce Sales console and Tableau Cloud for historical deep- dive executive dashboards. CK is now evaluating the addition of Tableau Next to its analytics architecture. Which statement accurately describes the distinct positioning benefit of adding Tableau Next to this multi- platform ecosystem?
정답：C
설명：
Tableau Next's distinctive value is its agentic, conversational, and actionable analytics layer, so C is correct.
Salesforce positions Tableau Next as an end-to-end agentic analytics platform combining Tableau analytics, Agentforce AI, and the Data 360 semantic layer. It enables users to ask freeform analytical questions, receive grounded text and visual answers, obtain proactive insights, and initiate actions where work occurs.
The platform is therefore complementary to existing analytical investments. Tableau Cloud can continue supporting sophisticated traditional analytics and executive exploration, while CRM Analytics can continue supporting embedded Salesforce analytical use cases. Tableau Next introduces a governed semantic and agentic layer that makes data conversational and actionable.
Option A is too absolute. Salesforce interoperability capabilities explicitly support connecting Tableau Cloud to Tableau Semantics, illustrating coexistence rather than mandatory replacement. Option B also mischaracterizes Published Data Source integration: Tableau Next can build semantic models directly from supported Tableau Cloud PDS content; its purpose is not merely extraction into DMOs.
References/Topics: Embedding, Cross-Cloud, and Interoperability - > Tableau Next Positioning - > Tableau Agent - > Tableau Cloud and CRM Analytics Coexistence.
질문 # 61
A Tableau Next Consultant is asked to configure streaming data ingestion. Where is the output written?
정답：B
설명：
A Data Stream Object (DSO) is the output associated with streaming data ingestion in this question.
Streaming ingestion is designed to continuously accept incoming records from a connected source and represent that stream in Data 360 so downstream processing and analytics can work with newly arriving data with minimal delay.
A Data Lake Object is used as a persisted data-layer object for broader ingestion and storage scenarios, while a Semantic Model is a downstream analytical abstraction that defines business-friendly measures, dimensions, relationships, metrics, and other semantic logic. Neither option describes the streaming-ingestion output requested by this item.
The exam distinction is to keep the ingestion pipeline separate from the semantic layer. Streaming data first enters through the streaming/data-stream construct, where the Data Stream Object represents the incoming stream. That data can then participate in downstream mapping, modeling, and Tableau Next analytics. The semantic model does not serve as the raw ingestion target; it consumes prepared and governed data structures to provide analytical meaning.
References/Topics: Data Setup - > Streaming Data Ingestion - > Data Stream Objects.
질문 # 62
Cloud Kicks requires a group to have access to Tableau Next strictly to ask natural language questions via Tableau Agent and view the resulting insights. The group will not create any dashboards or data models.
What is the most appropriate permission set to assign to this group?
정답：A
설명：
Tableau Unmetered Self-Service Consumer is the best match because these users only require consumption and conversational-analysis functionality rather than administrative or authoring privileges.
Salesforce's current permission-set documentation states that users assigned Tableau Unmetered Self-Service Consumer can browse, view, and interact with Tableau Next production assets and can use Tableau Agent.
They can also view dashboards, visualizations, metrics, and other supported analytics without receiving the broader content-management capabilities associated with analyst or administrator roles.
The Tableau Unmetered Admin permission set provides substantially excessive privileges, including platform configuration, user administration, asset management, and governance capabilities. Assigning it would directly violate least-privilege design.
The Tableau Unmetered Platform Analyst permission set is intended for users who create, manage, and share governed Tableau Next assets. Those capabilities are unnecessary because the stated users will not create dashboards or semantic models.
The certification principle is straightforward: license and permission assignment should reflect the minimum required analytical persona. Conversational consumption alone does not justify authoring or administrative privileges.
References/Topics: Basic Setup and Admin - > Tableau Next Licenses and Permission Sets - > Self-Service Consumer - > Tableau Agent Access.
질문 # 63
Universal Containers is concerned about Personally Identifiable Information (PII) being exposed when using Data Connection and Analytics Creation capabilities to create calculated fields. How does Data Connection and Analytics Creation ensure data security when processing requests through the large language model (LLM)?
정답：B
설명：
The correct security mechanism is the Einstein Trust Layer's PII masking capability. Salesforce guidance for AI-assisted calculated-field creation states that the agent may use information from the semantic model, including its schema and metadata, and that personally identifiable information is masked by the Einstein Trust Layer before information is sent to the LLM.
This allows Tableau Next's generative functionality to receive the semantic context required to construct useful calculated fields while applying Salesforce's enterprise AI security controls.
Option A describes a whole-model encryption/decryption workflow that is not the documented Tableau Next processing model. Option C is also incorrect because the system does not simply prohibit every field that could potentially contain PII. Instead, the Trust Layer applies masking and other controls to protect sensitive information while retaining useful analytical context.
More broadly, Salesforce states that Tableau Agent and Agentforce inherit the Einstein Trust Layer's security, governance, and trust mechanisms, including protections designed to prevent customer data from being retained by external LLMs for model training.
References/Topics: Agentic Experiences - > Einstein Trust Layer - > PII Masking - > Generative AI Calculated Fields.
질문 # 64
A Tableau Next Consultant wants to use color to identify products in a table that have an average discount above a user set threshold in a visualization. The consultant creates a parameter on the dashboard for the user to specify the value. Which approach should the consultant take to have the table highlight respond to the value set in the parameter?
정답：A
설명：
A Tableau Next parameter supplies a user-controlled value, while a calculated field translates that value into analytical logic. Therefore, the correct implementation is to create a Boolean calculated field-such as Average Discount greater than the threshold parameter-and use that calculated field for color encoding.
Salesforce's parameter workflow explicitly instructs authors to create the parameter and then create a calculated field whose formula responds to the selected parameter value. Salesforce separately documents Tableau Next table color encoding: a measure or calculated field can be placed on Color in the Marks section, allowing categories or condition results to receive appropriate colors.
Option B confuses dashboard text-widget conditional formatting with dynamic mark encoding inside the table visualization. Option C unnecessarily duplicates the visualization and introduces additional maintenance complexity when one visualization with calculated color logic is sufficient.
This pattern-Parameter - > Calculated Field - > Marks encoding-is the preferred design when visualization appearance must respond dynamically to user-provided analytical thresholds.
References/Topics: Visualizations and Dashboards - > Parameters - > Calculated Fields - > Color Encoding.
질문 # 65
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현재 경쟁울이 심한IT시대에,Salesforce Analytics-Con-202자격증 취득만으로 이 경쟁이 심한 사회에서 자신만의위치를 보장할수 있고 더욱이는 한층업된 삶을 누릴수 있을수도 있습니다. 우리Fast2test 에서 여러분은Salesforce Analytics-Con-202관련 학습지도서를 얻을 수 있습니다. 우리Fast2test는 IT업계엘리트 한 강사들이 퍼펙트한Salesforce Analytics-Con-202문제집을 만들어서 제공합니다. 우리가 제공하는Salesforce Analytics-Con-202문제와 답으로 여러분은 한번에 성공적으로 시험을 패스 하실수 있습니다. 중요한것 저희 문제집을 선택함으로 여러분의 시간도 절약해드리고 무엇보다도 많은 근심없이 심플하게 시험을 패스하여 좋다는 점입니다.
Analytics-Con-202최신버전 시험덤프: https://kr.fast2test.com/Analytics-Con-202-premium-file.html