NEW AGENTFORCE-SPECIALIST DUMPS FILES - AGENTFORCE-SPECIALIST VALID EXAM BLUEPRINT

New Agentforce-Specialist Dumps Files - Agentforce-Specialist Valid Exam Blueprint

New Agentforce-Specialist Dumps Files - Agentforce-Specialist Valid Exam Blueprint

Blog Article

Tags: New Agentforce-Specialist Dumps Files, Agentforce-Specialist Valid Exam Blueprint, Valid Exam Agentforce-Specialist Vce Free, Agentforce-Specialist Reliable Exam Simulator, Agentforce-Specialist Reliable Test Tutorial

Our Agentforce-Specialist study materials have plenty of advantages. For example, in order to meet the needs of different groups of people, we provide customers with three different versions of Agentforce-Specialist study materials, which contain the same questions and answers. You can choose the one that best suits you according to your study habits. Secondly, the passing rate of our Agentforce-Specialist Study Materials is very high. Generally speaking, 98 % - 99 % of the users can successfully pass the exam, obtaining the corresponding certificate.

If you have bought our Agentforce-Specialist exam braindumps, you will find that we have added new functions to add your exercises. The system of our Agentforce-Specialist guide materials will also be updated. In short, the new version of our Agentforce-Specialist training engine will change a lot. What is more, we will offer you free new version if you have purchased our Agentforce-Specialist training engine before. Since that we promise that you can enjoy free updates for one year after your purchase.

>> New Agentforce-Specialist Dumps Files <<

Agentforce-Specialist Valid Exam Blueprint | Valid Exam Agentforce-Specialist Vce Free

TestPDF real Salesforce Agentforce-Specialist Exam Dumps are ideal for applicants who are busy in their routines and want to do quick preparation for the Salesforce Agentforce-Specialist certification test. We guarantee that our actual Salesforce Certified Agentforce Specialist (Agentforce-Specialist) questions will be enough for you to prepare successfully for the Salesforce Certified Agentforce Specialist (Agentforce-Specialist) examination.

Salesforce Agentforce-Specialist Exam Syllabus Topics:

TopicDetails
Topic 1
  • Agentforce and Data Cloud: This section measures the skills of AI Developers and addresses how Agentforce integrates with Data Cloud to improve response accuracy and personalize answers. It involves grounding with retrievers in Data Cloud to enhance agent performance.
Topic 2
  • Agentforce and Service Cloud: This section measures the skills of AI Engineers and focuses on building agents that answer questions based on Knowledge articles and connecting them to digital channels. It also covers identifying the correct generative AI features in Agentforce for Service Cloud scenarios.
Topic 3
  • Agentforce and Sales Cloud: This section assesses the skills of AI Developers and covers identifying the correct generative AI features in Agentforce for Sales Cloud scenarios. It also includes determining when to use Agentforce Sales Agents, such as Sales Development Representatives (SDRs) and Sales Coaches.
Topic 4
  • Prompt Engineering: This section measures the skills of AI Developers and focuses on prompt engineering techniques. It covers identifying when to use Prompt Builder, managing prompt templates, selecting appropriate grounding techniques, and explaining the process for creating and executing prompt templates.
Topic 5
  • Agentforce Concepts: This section assesses the skills of AI Engineers and covers how Agentforce works, including its reasoning engine, standard and custom topics, agent actions, and user security management. It also includes testing and deploying agents from sandbox to production environments.

Salesforce Certified Agentforce Specialist Sample Questions (Q127-Q132):

NEW QUESTION # 127
TheAgentforce Specialistof Northern Trail Outfitters reviewed the organization's data masking settings within the Configure Data Masking menu within Setup. Upon assessing all of the fields, a few additional fields were deemed sensitive and have been masked within Einstein's Trust Layer.
Which steps should theAgentforce Specialisttake upon modifying the masked fields?

  • A. Turn on Einstein Feedback so that end users can report if there are any negative side effects on AI features.
  • B. Turn off the Einstein Trust Layer and turn it on again.
  • C. Test and confirm that the responses generated from prompts that utilize the data and masked data do not adversely affect the quality of the generated response

Answer: C

Explanation:
After modifying masked fields inEinstein's Trust Layer, the next important step is totest and confirmthat the responses generated by prompts utilizing the newly masked data still meet quality standards. This ensures that masking sensitive information does not negatively impact the usefulness or accuracy of the AI-generated content. Thorough testing helps identify any issues in prompt performance that could arise due to masking, and adjustments can be made if needed.
* Option Bis correct because testing the effects of masking on AI responses is a critical step in ensuring AI continues to function as expected.
* Option A(turning off and on the Einstein Trust Layer) is unnecessary after changing the masked fields.
* Option C(turning on Einstein Feedback) allows for user feedback but is not a direct step following field masking modifications.
References:
* Salesforce Einstein Trust Layer Overview:https://help.salesforce.com/s/articleView?id=sf.
einstein_trust_layer.htm


NEW QUESTION # 128
Universal Containers (UC) implements a custom retriever to improve the accuracy of AI-generated responses.
UC notices that the retriever is returning too many irrelevant results, making the responses less useful. What should UC do to ensure only relevant data is retrieved?

  • A. Change the search index to a different data model object (DMO).
  • B. Define filters to narrow the search results based on specific conditions.
  • C. Increase the maximum number of results returned to capture a broader dataset.

Answer: B

Explanation:
Comprehensive and Detailed In-Depth Explanation:In Salesforce Agentforce, acustom retrieveris used to fetch relevant data (e.g., from Data Cloud's vector database or Salesforce records) to ground AI responses.
UC's issue is that their retriever returns too many irrelevant results, reducing response accuracy. The best solution is todefine filters(Option A) to refine the retriever's search criteria. Filters allow UC to specify conditions (e.g., "only retrieve documents from the 'Policy' category" or "records created after a certain date") that narrow the dataset, ensuring the retriever returns only relevant results. This directly improves the precision of AI-generated responses by excluding extraneous data, addressing UC's problem effectively.
* Option B: Changing the search index to a different data model object (DMO) might be relevant if the retriever is querying the wrong object entirely (e.g., Accounts instead of Policies). However, the question implies the retriever is functional but unrefined, so adjusting the existing setup with filters is more appropriate than switching DMOs.
* Option C: Increasing the maximum number of results would worsen the issue by returning even more data, including more irrelevant entries, contrary to UC's goal of improving relevance.
* Option A: Filters are a standard feature in custom retrievers, allowing precise control over retrieved data, making this the correct action.
Option A is the most effective step to ensure relevance in retrieved data.
References:
* Salesforce Agentforce Documentation: "Create Custom Retrievers" (Salesforce Help:https://help.
salesforce.com/s/articleView?id=sf.agentforce_custom_retrievers.htm&type=5)
* Salesforce Data Cloud Documentation: "Filter Data for AI Retrieval" (https://help.salesforce.com/s
/articleView?id=sf.data_cloud_retrieval_filters.htm&type=5)


NEW QUESTION # 129
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. Sentiment Analysis and Emotion Detection
  • B. Issue and Revolution
  • C. Draft Survey Request Email

Answer: B

Explanation:
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.


NEW QUESTION # 130
Universal Containers wants to reduce overall customer support handling time by minimizing the time spent typing routine answers for common questions in-chat, and reducing the post-chat analysis by suggesting values for case fields. Which combination of Agentforce for Service features enables this effort?

  • A. Einstein Service Replies and Work Summaries
  • B. Einstein Reply Recommendations and Case Summaries
  • C. Einstein Reply Recommendations and Case Classification

Answer: C

Explanation:
Comprehensive and Detailed In-Depth Explanation:Universal Containers (UC) aims to streamline customer support by addressing two goals: reducing in-chat typing time for routine answers and minimizing post-chat analysis by auto-suggesting case field values. In Salesforce Agentforce for Service,Einstein Reply RecommendationsandCase Classification(Option A) are the ideal combination to achieve this.
* Einstein Reply Recommendations: This feature uses AI to suggest pre-formulated responses based on chat context, historical data, and Knowledge articles. By providing agents with ready-to-use replies for common questions, it significantly reduces the time spent typing routine answers, directly addressing UC's first goal.
* Case Classification: This capability leverages AI to analyze case details (e.g., chat transcripts) and suggest values for case fields (e.g., Subject, Priority, Resolution) during or after the interaction. By automating field population, it reduces post-chat analysis time, fulfilling UC's second goal.
* Option B: While "Einstein Reply Recommendations" is correct for the first part, "Case Summaries" generates a summary of the case rather than suggesting specific field values. Summaries are useful for documentation but don't directly reduce post-chat field entry time.
* Option C: "Einstein Service Replies" is not a distinct, documented feature in Agentforce (possibly a distractor for Reply Recommendations), and "Work Summaries" applies more to summarizing work orders or broader tasks, not case field suggestions in a chat context.
* Option A: This combination precisely targets both in-chat efficiency (Reply Recommendations) and post-chat automation (Case Classification).
Thus, Option A is the correct answer for UC's needs.
References:
* Salesforce Agentforce Documentation: "Einstein Reply Recommendations" (Salesforce Help:
https://help.salesforce.com/s/articleView?id=sf.einstein_reply_recommendations.htm&type=5)
* Salesforce Agentforce Documentation: "Case Classification" (Salesforce Help:https://help.salesforce.
com/s/articleView?id=sf.case_classification.htm&type=5)
* Trailhead: "Agentforce for Service" (https://trailhead.salesforce.com/content/learn/modules/agentforce- for-service)


NEW QUESTION # 131
An Agentforce Specialist is tasked with analyzing Agent interactions, looking into user inputs, requests, and queries to identify patterns and trends. What functionality allows the Agentforce Specialist to achieve this?

  • A. AI Audit and Feedback Data dashboard.
  • B. User Utterances dashboard.
  • C. Agent Event Logs dashboard.

Answer: B

Explanation:
Comprehensive and Detailed In-Depth Explanation:The task requires analyzinguser inputs, requests, and queriesto identify patterns and trends in Agentforce interactions. Let's assess the options based on Agentforce' s analytics capabilities.
* Option A: Agent Event Logs dashboard.Agent Event Logs capture detailed technical events (e.g., API calls, errors, or system-level actions) related to agent operations. While useful for troubleshooting or monitoring system performance, they are not designed to analyze user inputs or conversational trends. This option does not meet the requirement and is incorrect.
* Option B: AI Audit and Feedback Data dashboard.There's no specific "AI Audit and Feedback Data dashboard" in Agentforce documentation. Feedback mechanisms exist (e.g., user feedback on responses), and audit trails may track changes, but no single dashboard combines these for analyzing user queries and trends. This option appears to be a misnomer and is incorrect.
* Option C: User Utterances dashboard.The User Utterances dashboard in Agentforce Analytics is specifically designed to analyze user inputs, requests, and queries. It aggregates and visualizes what users are asking the agent, identifying patterns (e.g., common topics) and trends (e.g., rising query types). Specialists can use this to refine agent instructions or topics, making it the perfect tool for this task. This is the correct answer per Salesforce documentation.
Why Option C is Correct:The User Utterances dashboard is tailored for conversational analysis, offering insights into user interactions that align with the specialist's goal of identifying patterns and trends. It's a documented feature of Agentforce Analytics for post-deployment optimization.
References:
* Salesforce Agentforce Documentation: Agent Analytics > User Utterances Dashboard- Describes its use for analyzing user queries.
* Trailhead: Monitor and Optimize Agentforce Agents- Highlights the dashboard's role in trend identification.
* Salesforce Help: Agentforce Dashboards- Confirms User Utterances as a key tool for interaction analysis.


NEW QUESTION # 132
......

We assure that you can not only purchase high-quality Agentforce-Specialist prep guide but also gain great courage & trust from us. A lot of online education platform resources need to be provided by the user registration to use after purchase, but it is simple on our website. We provide free demo of Agentforce-Specialist guide torrent, you can download any time without registering. Fast delivery—after payment you can receive our Agentforce-Specialist Exam Torrent no more than 10 minutes, so that you can learn fast and efficiently. Besides, we provide 24*365 online service and remote professional staff to guide you about downloading or using our Agentforce-Specialist exam torrent. Still other more service terms are waiting for your experience. Why don't you try and purchase our Agentforce-Specialist prep guide?

Agentforce-Specialist Valid Exam Blueprint: https://www.testpdf.com/Agentforce-Specialist-exam-braindumps.html

Report this page