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Agentforce-Specialist인기문제모음완벽한덤프최신버전
Demo를 다운받아Salesforce Agentforce-Specialist덤프의 일부분 문제를 체험해보시고 구매하셔도 됩니다. 저희 KoreaDumps에서는Salesforce Agentforce-Specialist덤프의 일부분 문제를 샘플로 제공해드립니다. 덤프만 열공하시면Salesforce Agentforce-Specialist시험패스가 가능하기에 저희 자료를 선택한걸 후회하지 않게 할 자신이 있습니다.
Salesforce Agentforce-Specialist 시험요강:
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>> Agentforce-Specialist인기문제모음 <<
Agentforce-Specialist인기자격증 - Agentforce-Specialist최고품질 인증시험 기출자료
Salesforce Agentforce-Specialist 시험을 어떻게 통과할수 있을가 고민중이신 분들은KoreaDumps를 선택해 주세요. KoreaDumps는 많은 분들이 IT인증시험을 응시하여 성공하도록 도와주는 사이트입니다. 최고급 품질의Salesforce Agentforce-Specialist시험대비 덤프는Salesforce Agentforce-Specialist시험을 간단하게 패스하도록 힘이 되어드립니다. KoreaDumps 의 덤프는 모두 엘리트한 전문가들이 만들어낸 만큼 시험문제의 적중률은 아주 높습니다.
최신 AI Specialist Agentforce-Specialist 무료샘플문제 (Q83-Q88):
질문 # 83
Universal Containers (UC) needs to improve the agent productivity in replying to customer chats.
Which generative AI feature should help UC address this issue?
- A. Service Replies
- B. Case Summaries
- C. Case Escalation
정답:A
설명:
* Service Replies: This generative AI feature automates and assists in generating accurate, contextual, and efficient replies for customer service agents. It uses past interactions, case data, and the context of the conversation to provide draft responses, thereby enhancing productivity and reducing response times.
* Case Summaries: Summarizes case information but does not assist directly in replying to customer chats.
* Case Escalation: Refers to moving cases to higher-level support teams but does not address the need to improve chat response productivity.
Thus,Service Repliesis the best feature for this requirement as it directly aligns with improving agent efficiency in replying to chats.
질문 # 84
Universal Containers (UC) plans to send one of three different emails to its customers based on the customer's lifetime value score and their market segment.
Considering that UC are required to explain why an e-mail was selected, which AI model should UC use to achieve this?
- A. Generative model
- B. Predictive model and generative model
- C. Predictive model
정답:C
설명:
Universal Containersshould use aPredictive modelto decide which of the three emails to send based on the customer'slifetime value scoreandmarket segment. Predictive models analyze data to forecast outcomes, and in this case, it would predict the most appropriate email to send based on customer attributes. Additionally, predictive models can provideexplainabilityto show why a certain email was chosen, which is crucial for UC' s requirement to explain the decision-making process.
* Generative modelsare typically used for content creation, not decision-making, and thus wouldn't be suitable for this requirement.
* Predictive modelsoffer the ability to explain why a particular decision was made, which aligns with UC's needs.
Refer toSalesforce's Predictive AI model documentationfor more insights on how predictive models are used for segmentation and decision making.
질문 # 85
The sales team at a hotel resort would like to generate a guest summary about the guests' interests and provide recommendations based on their activity preferences captured in each guest profile. They want the summary to be available only on the contact record page. Which AI capability should the team use?
- A. Prompt Builder
- B. Agent Builder
- C. Model Builder
정답:A
설명:
Comprehensive and Detailed In-Depth Explanation:The hotel resort team needs an AI-generated guest summary with recommendations, displayed exclusively on the contact record page. Let's assess the options.
* Option A: Model BuilderModel Builder in Salesforce creates custom predictive AI models (e.g., for scoring or classification) using Data Cloud or Einstein Platform data. It's not designed for generating text summaries or embedding them on record pages, making it incorrect.
* Option B: Agent BuilderAgent Builder in Agentforce Studio creates autonomous AI agents for tasks like lead qualification or customer service. While agents can provide summaries, they operate in conversational interfaces (e.g., chat), not as static content on a record page. This doesn't meet the location-specific requirement, making it incorrect.
* Option C: Prompt BuilderEinstein Prompt Builder allows creation of prompt templates that generate text (e.g., summaries, recommendations) using Generative AI. The template can pull data from contact records (e.g., activity preferences) and be embedded as a Lightning component on the contact record page via a Flow or Lightning App Builder. This ensures the summary is available only where specified, meeting the team's needs perfectly and making it the correct answer.
Why Option C is Correct:Prompt Builder's ability to generate contextual summaries and integrate them into specific record pages via Lightning components aligns with the team's requirements, as supported by Salesforce documentation.
References:
* Salesforce Agentforce Documentation: Prompt Builder > Embedding Prompts- Details placement on record pages.
* Trailhead: Build Prompt Templates in Agentforce- Covers summaries from object data.
* Salesforce Help: Customize Record Pages with AI- Confirms Prompt Builder integration.
질문 # 86
Universal Containers (UC) wants its AI agent to return responses quickly. UC needs to optimize the retriever's configuration to ensure minimal latency when grounding AI responses.
Which configuration aspect should UC prioritize?
- A. Ensure the retriever's filters are defined to limit the scope of each search efficiently.
- B. Increase the recency bias setting for the retriever limiting scope to more recent data.
- C. Configure the retriever to operate in dynamic mode so that it modifies the search Index structure at runtime.
정답:A
설명:
Why is "Ensure the retriever's filters are defined to limit the scope of each search efficiently" the correct answer?
In Agentforce, when optimizing a retriever's configuration to ensure minimal latency in AI-generated responses, the most effective approach is narrowing the scope of searches by applying specific filters.
Key Considerations for Optimizing Retrievers in Agentforce:
* Defining Effective Filters
* Applying precise search filters reduces unnecessary data retrieval, decreasing response time.
* Filters help focus on relevant records, avoiding delays caused by processing large datasets.
* Reducing Query Complexity
* Overly broad searches can increase retrieval time, leading to latency issues.
* Well-configured retriever filters streamline queries, improving response speed.
* Optimizing the Data Indexing Process
* Restricting retriever searches to indexed fields enhances efficiency.
* Pre-indexed data is faster to access, reducing retrieval time.
Why Not the Other Options?
# A. Configure the retriever to operate in dynamic mode so that it modifies the search index structure at runtime.
* Incorrect because modifying the search index at runtime increases latency rather than reducing it.
* Index modifications require restructuring large datasets, which can slow down AI-generated responses.
# C. Increase the recency bias setting for the retriever, limiting scope to more recent data.
* Incorrect because increasing recency bias only prioritizes recent records but does not necessarily improve overall retrieval speed.
* While it affects relevance, it does not directly address latency issues.
Agentforce Specialist References
* Salesforce AI Specialist Material confirms that retriever efficiency depends on well-defined filtering mechanisms to minimize latency.
* Salesforce Instructions for Certification highlight retriever optimization strategies to improve search response times.
질문 # 87
An Agentforce Specialist wants to troubleshoot their Agent's performance. Where should the Agentforce Specialist go to access all user interactions with the Agent, including Agent errors, incorrectly triggered actions, and incomplete plans?
- A. Agent Settings
- B. Event Logs
- C. Plan Canvas
정답:B
설명:
Comprehensive and Detailed In-Depth Explanation:The Agentforce Specialist needs a comprehensive view of user interactions, errors, and action issues for troubleshooting. Let's evaluate the options.
* Option A: Plan CanvasPlan Canvas in Agent Builder visualizes an agent's execution plan for a single interaction, useful for design but not for aggregated troubleshooting data like errors or all interactions, making it incorrect.
* Option B: Agent SettingsAgent Settings configure the agent (e.g., topics, channels), not provide interaction logs or error details. This is for setup, not analysis, making it incorrect.
* Option C: Event LogsEvent Logs in Agentforce (accessible via Setup or Agent Analytics) record all user interactions, including errors, incorrectly triggered actions, and incomplete plans. They provide detailed telemetry (e.g., timestamps, action outcomes) for troubleshooting performance issues, making this the correct answer.
Why Option C is Correct:Event Logs offer the full scope of interaction data needed for troubleshooting, as per Salesforce documentation.
References:
* Salesforce Agentforce Documentation: Agent Analytics > Event Logs- Details interaction and error logging.
* Trailhead: Monitor and Optimize Agentforce Agents- Recommends Event Logs for troubleshooting.
* Salesforce Help: Agentforce Performance- Confirms logs for diagnostics.
질문 # 88
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