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Salesforce-AI-Specialist최신인증시험자료 & Salesforce-AI-Specialist합격보장가능시험
불과 1,2년전만 해도 Salesforce Salesforce-AI-Specialist덤프를 결제하시면 수동으로 메일로 보내드리기에 공휴일에 결제하시면 덤프를 보내드릴수 없어 고객님께 페를 끼쳐드렸습니다. 하지만 지금은 시스템이 업그레이드되어Salesforce Salesforce-AI-Specialist덤프를 결제하시면 바로 사이트에서 다운받을수 있습니다. Itcertkr는 가면갈수록 고객님께 편리를 드릴수 있도록 나날이 완벽해질것입니다.
Itcertkr의 제품들은 모두 우리만의 거대한IT업계엘리트들로 이루어진 그룹 즉 관련업계예서 권위가 있는 전문가들이 자기만의 지식과 지금까지의 경험으로 최고의 IT인증관련자료를 만들어냅니다. Itcertkr의 문제와 답은 정확도 적중률이 아주 높습니다. 우리의 덤프로 완벽한Salesforce인증Salesforce-AI-Specialist시험대비를 하시면 되겠습니다. 이렇게 어려운 시험은 우리Salesforce인증Salesforce-AI-Specialist덤프로 여러분의 고민과 꿈을 한방에 해결해드립니다.
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최신 업데이트버전 Salesforce-AI-Specialist최신 인증시험자료 인증덤프
Itcertkr는 아주 믿을만하고 서비스 또한 만족스러운 사이트입니다. 만약 Salesforce-AI-Specialist시험실패 시 우리는 100% 덤프비용 전액환불 해드립니다.그리고 시험을 패스하여도 우리는 일 년 동안 무료업뎃을 제공합니다.
최신 AI Associate Salesforce-AI-Specialist 무료샘플문제 (Q109-Q114):
질문 # 109
How should an organization use theEinstein Trust layer to audit,track, and view masked data?
- A. In Setup, use Prompt Builder to send a prompt to the LLM requesting for the masked data.
- B. Access the audit trail in Setup and export all user-generated prompts.
- C. Utilize the audit trail that captures and stores all LLM submitted prompts in Data Cloud.
정답:C
설명:
TheEinstein Trust Layeris designed to ensure transparency, compliance, and security for organizations leveraging Salesforce's AI and generative AI capabilities. Specifically, for auditing, tracking, and viewing masked data, organizations can utilize:
* Audit Trail in Data Cloud: Theaudit trailcaptures and stores all prompts submitted to large language models (LLMs), ensuring that sensitive or masked data interactions are logged. This allows organizations to monitor and audit all AI-generated outputs, ensuring that data handling complies with internal and regulatory guidelines. TheData Cloudprovides the infrastructure for managing and accessing this audit data.
* Why not B?UsingPrompt Builderin Setup to send prompts to the LLM is for creating and managing prompts, not for auditing or tracking data. It does not interact directly with the audit trail functionality.
* Why not C?Although the audit trail can be accessed in Setup, the user-generated prompts are primarily tracked in the Data Cloud for broader control, auditing, and analysis. Setup is not the primary tool for exporting or managing these audit logs.
More information on auditing AI interactions can be found in theSalesforce AI Trust Layerdocumentation, which outlines how organizations can manage and track generative AI interactions securely.
질문 # 110
Universal Containers has an active standard email prompt template that does not fully deliver on the business requirements.
Which steps should an AI Specialist take to use the content of the standard prompt email template in question andcustomize it to fully meet thebusiness requirements?
- A. Clone the existing template and modify as needed.
- B. Save as New Version and edit as needed.
- C. Save as New Template and edit as needed.
정답:A
설명:
When an active standard email prompt template doesn't meet the business requirements, the best approach is toclone the existing templateand modify it as needed. Cloning allows the AI Specialist to preserve the original template while making adjustments to fit specific business needs. This ensures that any customizations are applied without altering the original standard template.
Saving as a new versionis typically used for versioning changes in the same template, whileSave as New Templatecreates a brand-new template without linking to the existing one.Cloningprovides a balance, allowing modifications while retaining the original structure for future reference.
For more details, refer toSalesforce Prompt Builder documentationfor guidance on cloning and modifying templates.
질문 # 111
Universal Containers (UC) is using Einstein Generative AI to generate an account summary. UC aims to ensure the content is safe and inclusive, utilizing the Einstein Trust Layer's toxicity scoring to assess the content's safety level.
What does a safety category score of 1 indicate in the Einstein Generative Toxicity Score?
- A. Moderately safe
- B. Safe
- C. Not safe
정답:B
설명:
In theEinstein Trust Layer, thetoxicity scoringsystem is used to evaluate the safety level of content generated by AI, particularly to ensure that it is non-toxic, inclusive, and appropriate for business contexts. A toxicity score of 1indicates that the content is deemedsafe.
The scoring system ranges from 0 (unsafe) to 1 (safe), with intermediate values indicating varying degrees of safety. In this case, a score of 1 means that the generated content is fully safe and meets the trust and compliance guidelines set by theEinstein Trust Layer.
For further reference, check Salesforce's officialEinstein Trust Layer documentationregardingtoxicity scoringfor AI-generated content.
질문 # 112
An AI Specialist is tasked with analyzing Agent interactions looking into user inputs, requests, and queries to identify patterns and trends.
What functionality allows the AX Specialist to achieve this?
- A. AI Audit & Feedback Data dashboard
- B. User Utterances dashboard
- C. Agent Event Logs dashboard
정답:B
설명:
The User Utterances dashboard (Option A) is the correct functionality for analyzing user inputs, requests, and queries to identify patterns and trends. This dashboard aggregates and categorizes the natural language inputs (utterances) from users, enabling the AI Specialist to:
* Identify Common Queries: Surface frequently asked questions or recurring issues.
* Detect Intent Patterns: Understand how users phrase requests, which helps refine intent detection models.
* Improve Bot Training: Highlight gaps in training data or misclassified utterances that require adjustment.
Why Other Options Are Incorrect:
* B. Agent Event Logs dashboard: Focuses on agent activity (e.g., response times, resolved cases) rather than user input analysis.
* C. AI Audit & Feedback Data dashboard: Tracks AI model performance, audit trails, and user feedback scores but does not directly analyze raw user utterances or queries.
References:
* Salesforce Einstein AI Specialist Certification Guide: Emphasizes the User Utterances dashboard as the primary tool for analyzing user inputs to improve conversational AI.
* Trailhead Module: "Einstein Bots Basics" highlights using the dashboard to refine bot training based on user interaction data.
* Salesforce Help Documentation: Describes the User Utterances dashboard as critical for identifying trends in customer interactions.
질문 # 113
Universal Containers, dealing with a high volume of chat inquiries, implements Einstein Work Summaries to boost productivity.
After an agent-customer conversation, which additional information does Einstein generate and fill, apart from the "summary"'
- A. Draft Survey Request Email
- B. Sentiment Analysis and Emotion Detection
- C. Issue and Revolution
정답:C
설명:
Einstein Work Summaries automatically generate concise summaries of customer interactions (e.g., chat transcripts). Beyond the "summary" field, it extracts and populates Issue (key problem discussed) and Resolution (action taken to resolve the issue). These fields help agents and supervisors quickly grasp the conversation's context without reviewing the full transcript.
* Sentiment Analysis and Emotion Detection (Option A): While Einstein Conversation Insights provides sentiment scores and emotion detection, these are separate from Work Summaries. Work Summaries focus on factual summaries, not sentiment.
* Draft Survey Request Email (Option B): Not part of Work Summaries. This would require automation tools like Flow or Email Studio.
* Issue and Resolution (Option C): Directly referenced in Salesforce documentation as fields populated by Einstein Work Summaries.
References:
* Salesforce Help Article: Einstein Work Summaries
* Einstein Work Summaries focus on "key details like Issue and Resolution" alongside summaries.
* Contrast with Einstein Conversation Insights for sentiment/emotion analysis.
질문 # 114
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