FREE PDF SALESFORCE - VALID TEST AGENTFORCE-SPECIALIST DUMP

Free PDF Salesforce - Valid Test Agentforce-Specialist Dump

Free PDF Salesforce - Valid Test Agentforce-Specialist Dump

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Tags: Test Agentforce-Specialist Dump, Agentforce-Specialist Test Pdf, Agentforce-Specialist Reliable Braindumps Book, Latest Braindumps Agentforce-Specialist Ppt, Agentforce-Specialist Valid Exam Labs

The Salesforce Agentforce-Specialist certification is on trending nowadays, and many Salesforce aspirants are trying to get it. Success in the Agentforce-Specialist test helps you land well-paying jobs. Additionally, the Agentforce-Specialist certification exam is also beneficial to get promotions in your current company. But the main problem that every applicant faces while preparing for the Agentforce-Specialist Certification test is not finding updated Salesforce Certified Agentforce Specialist (Agentforce-Specialist) practice questions.

Salesforce Agentforce-Specialist Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 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 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 4
  • 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.
Topic 5
  • 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.

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Salesforce Certified Agentforce Specialist Sample Questions (Q203-Q208):

NEW QUESTION # 203
Which object stores the conversation transcript between the customer and the agent?

  • A. Messaging Session
  • B. Messaging End User
  • C. Case

Answer: A

Explanation:
Why is "Messaging Session" the correct answer?
In Agentforce, the Messaging Session object stores the conversation transcript between the customer and the agent.
Key Features of the Messaging Session Object:
* Stores the Entire Customer-Agent Conversation
* The Messaging Session object maintains a record of the full chat history, including timestamps, messages, and interactions.
* This ensures that past interactions can be referenced during follow-ups.
* Supports AI-Powered Work Summaries
* Einstein AI uses Messaging Sessions to generate summaries of chat interactions for agents.
* These summaries are stored and accessible for later reference.
* Links with Service Cloud for Case Resolution
* If a conversation escalates into a case, the Messaging Session object can be linked to it.
* This allows support teams to review the conversation history without switching contexts.
Why Not the Other Options?
# A. Messaging End User
* Incorrect because this object stores details about the customer (e.g., name, contact details) but not the conversation transcript.
# C. Case
* Incorrect because Cases store structured service requests but do not contain raw conversation transcripts.
* Instead, cases may reference the Messaging Session object.
Agentforce Specialist References
* Salesforce AI Specialist Material confirms that Messaging Sessions store chat conversations and support Einstein Work Summaries.


NEW QUESTION # 204
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
  • C. Predictive model and generative model

Answer: B

Explanation:
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.


NEW QUESTION # 205
Universal Containers (UC) needs to save agents time with AI-generated case summaries. UC has implemented the Work Summary feature.
What does Einstein consider when generating a summary?

  • A. Generation is grounded with conversation context, Knowledge articles, and cases.
  • B. Generation is grounded with existing conversation context only.
  • C. Generation is grounded with conversation context and Knowledge articles.

Answer: A

Explanation:
When generating a Work Summary, Einstein leverages multiple sources of information to provide a comprehensive and accurate case summary for agents.
* Conversation Context:
* Einstein analyzes the details of the customer interaction, including chat or email threads, to extract relevant information for the summary.
* Knowledge Articles:
* It considers linked Knowledge Articles or articles referred to during the case resolution process, ensuring the summary incorporates accurate resolutions or additional resources provided to the customer.
* Cases:
* Einstein also examines historical cases and related case records to ground the summary in context from past resolutions or interactions.
* Option Ais correct as it includes all three: conversation context, Knowledge articles, and cases.
* Option Bis incorrect because it limits the grounding to conversation context only, excluding other critical elements.
* Option Cis incorrect because it omits case data, which Einstein considers for more accurate and contextually rich summaries.


NEW QUESTION # 206
Universal Containers wants to leverage the Record Snapshots grounding feature in a prompt template. What preparations are required?

  • A. Configure page layout of the master record type.
  • B. Create a field set for all the fields to be grounded.
  • C. Enable and configure dynamic form for the object.

Answer: B

Explanation:
Comprehensive and Detailed In-Depth Explanation:Universal Containers (UC) aims to use Record Snapshots grounding in a prompt template to provide context from a specific record. Let's evaluate the preparation steps.
* Option A: Configure page layout of the master record type.While page layouts define field visibility for users, Record Snapshots grounding relies on field accessibility at the object level, not the layout.
The AI accesses data based on permissions and configuration, not layout alone, making this insufficient and incorrect.
* Option B: Create a field set for all the fields to be grounded.Record Snapshots in Prompt Builder allow grounding with fields from a record, but you must specify which fields to include. Creating a field set is a recommended preparation step-it groups the fields (e.g., from the object) to be passed to the prompt template, ensuring the AI has the right data. This is a documented best practice for controlling snapshot scope, making it the correct answer.
* Option C: Enable and configure dynamic form for the object.Dynamic Forms enhance UI flexibility but aren't required for Record Snapshots grounding. The feature pulls data directly from the object, not the form configuration, making this irrelevant and incorrect.
Why Option B is Correct:Creating a field set ensures the prompt template uses the intended fields for grounding, a key preparation step per Salesforce documentation.
References:
* Salesforce Agentforce Documentation: Prompt Builder > Record Snapshots- Recommendsfield sets for grounding.
* Trailhead: Ground Your Agentforce Prompts- Details field set preparation.
* Salesforce Help: Set Up Record Snapshots- Confirms field set usage.


NEW QUESTION # 207
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.
In the score of 1 indicate?

  • A. The response is the least toxic Einstein Generative AI Toxicity Scoring system, what does a toxicity category.
  • B. The response is the most toxic.
  • C. The response is not toxic.

Answer: B

Explanation:
Einstein Trust Layer's Toxicity Scoring categorizes content on a scale of 0 to 1, where 1 indicates the highest level of toxicity (e.g., harmful, biased, or inappropriate language). This scoring helps organizations filter unsafe AI-generated content. A score of 1 triggers mitigation actions, such as blocking the response or alerting administrators.
* A score of 0 would indicate no toxicity (B is incorrect).
* The scoring system does not use "least toxic" as a category (A is misleading).


NEW QUESTION # 208
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