100% Pass 2025 Agentforce-Specialist: Perfect Valid Salesforce Certified Agentforce Specialist Test Camp
100% Pass 2025 Agentforce-Specialist: Perfect Valid Salesforce Certified Agentforce Specialist Test Camp
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Tags: Valid Agentforce-Specialist Test Camp, Agentforce-Specialist Test Price, Valid Agentforce-Specialist Test Registration, Agentforce-Specialist Clear Exam, Exam Agentforce-Specialist Discount
Even if you are laid off by your company, there is no point in thinking that you couldn't make it and that it's the end of the road. No, it is not and you have a world full of opportunities till you are breathing. You can easily pass the Salesforce Certified Agentforce Specialist (Agentforce-Specialist) certification exam. This Salesforce Certified Agentforce Specialist (Agentforce-Specialist) exam credential will help you get your dream job and show your expertise to the world around you. So, don't feel it with a heavy heart, but stand again, hold to your confidence, and think about how you can prepare successfully for the Agentforce-Specialist test.
Salesforce Agentforce-Specialist Exam Syllabus Topics:
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Salesforce Certified Agentforce Specialist Sample Questions (Q155-Q160):
NEW QUESTION # 155
Universal Containers' Agent Action includes several Apex classes for the new Agentforce Agent. What is an important consideration when deploying Apex that is invoked by an Agent Action?
- A. The Apex classes may bypass the 75% code coverage requirement as long as they are only used by the agent.
- B. Apex classes invoked by an Agent Action may be deployed with less than 75% test coverage as long as the agent is not activated in production.
- C. The Apex classes must have at least 75% code coverage from unit tests, and all dependencies must be in the deployment package.
Answer: C
Explanation:
Comprehensive and Detailed In-Depth Explanation:Universal Containers (UC) is using Apex classes within an Agent Action for their Agentforce Agent. Deploying Apex in Salesforce has specific requirements, especially when tied to Agentforce functionality. Let's evaluate the options.
* Option A: The Apex classes must have at least 75% code coverage from unit tests, and all dependencies must be in the deployment package.Salesforce enforces a strict requirement that all Apex classes must achieve at least 75% code coverage from unit tests for deployment to production, regardless of their use case (e.g., Agentforce, triggers, or web services). Additionally, when Apex is invoked by an Agent Action (e.g., via a Flow or direct invocation), all dependencies (e.g., referenced classes, objects) must be included in the deployment package to ensure functionality. This is a standard deployment consideration in Salesforce and applies to Agentforce, making this the correct answer.
* Option B: Apex classes invoked by an Agent Action may be deployed with less than 75% test coverage as long as the agent is not activated in production.Salesforce's 75% code coverage requirement is mandatory for production deployment, regardless of whether the agent is activated.
There's no exemption based on activationstatus-coverage is enforced at the deployment stage. This option is incorrect and contradicts Salesforce's Apex deployment rules.
* Option C: The Apex classes may bypass the 75% code coverage requirement as long as they are only used by the agent.No such bypass exists in Salesforce. The 75% code coverage rule applies universally to all Apex in production, including classes used by Agentforce. Agent-specific usage doesn' t waive this requirement, making this incorrect.
Why Option A is Correct:The 75% code coverage requirement and inclusion of dependencies are fundamental Salesforce deployment rules, applicable to Apex in Agent Actions. This ensures reliability and functionality in production, as per official documentation.
References:
* Salesforce Agentforce Documentation: Agent Builder > Custom Actions > Apex- Notes standard Apex deployment rules apply.
* Salesforce Developer Guide: Apex Testing- Confirms 75% coverage requirement.
* Trailhead: Deploy Apex Code- Emphasizes coverage and dependencies for production.
NEW QUESTION # 156
Universal Containers Is Interested In Improving the sales operation efficiency by analyzing their data using Al-powered predictions in Einstein Studio.
Which use case works for this scenario?
- A. Predict customer sentiment toward a promotion message.
- B. Predict most popular products from new product catalog.
- C. Predict customer lifetime value of an account.
Answer: C
Explanation:
For improvingsales operations efficiency,Einstein Studiois ideal for creating AI-powered models that can predict outcomes based on data. One of the most valuable use cases is predictingcustomer lifetime value, which helps sales teams focus on high-value accounts and make more informed decisions.Customer lifetime value (CLV)predictions can optimize strategies around customer retention, cross-selling, and long-term engagement.
* Option Bis the correct choice as predicting customer lifetime value is a well-established use case for AI in sales.
* Option A(customer sentiment) is typically handled through NLP models, whileOption C(product popularity) is more of a marketing analysis use case.
References:
Salesforce Einstein Studio Use Case Overview:https://help.salesforce.com/s/articleView?id=sf.
einstein_studio_overview
NEW QUESTION # 157
Universal Containers plans to enhance the customer support team's productivity using AI.
Which specific use case necessitates the use of Prompt Builder?
- A. Creating an Al-generated customer support agent performance score
- B. Creating a draft of a support bulletin post for new product patches
- C. Estimating support ticket volume based on historical data and seasonal trends
Answer: B
Explanation:
The use case that necessitates the use ofPrompt Builderiscreating a draft of a support bulletin postfor new product patches.Prompt Builderallows theAgentforce Specialistto create and refine prompts that generate specific, relevant outputs, such as drafting support communication based on product information and patch details.
* Option B(agent performance score) would likely involve predictive modeling, not prompt generation.
* Option C(estimating support ticket volume) would require data analysis and predictive tools, not prompt building.
For more details, refer toSalesforce's Prompt Builder documentationfor generative AI content creation.
NEW QUESTION # 158
What is the primary function of the reasoning engine in Agentforce?
- A. Offering real-time natural language response during conversations
- B. Identifying agent topics and actions to respond to user utterances
- C. Generating record queries based on conversation history
Answer: B
Explanation:
Why is "Identifying agent topics and actions to respond to user utterances" the correct answer?
In Agentforce, the reasoning engine plays a critical role in interpreting user queries and determining the appropriate agent response.
Key Functions of the Reasoning Engine in Agentforce:
* Analyzing User Intent
* The reasoning engine interprets the meaning behind natural language user inputs.
* It maps user utterances to predefined topics to determine the correct AI-generated response.
* Selecting the Appropriate Agent Action
* The engine evaluates available actions and selects the best response based on the detected topic
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* For example, if a user asks, "What is my current account balance?", the reasoning engine:
* Identifies the topic: "Account Information"
* Chooses the correct action: "Retrieve account balance"
* Executes the action and returns the response
* Ensuring AI Accuracy and Context Awareness
* The reasoning engine grounds AI-generated responses in relevant Salesforce data, ensuring accurate outputs.
Why Not the Other Options?
# B. Offering real-time natural language response during conversations.
* Incorrect because real-time natural language processing (NLP) is handled by the large language model (LLM), not the reasoning engine.
* The reasoning engine focuses on action selection, not linguistic processing.
# C. Generating record queries based on conversation history.
* Incorrect because query generation is handled by Copilot Actions (e.g., Query Records), not the reasoning engine.
* The reasoning engine decides which query should be run, but does not generate queries itself.
Agentforce Specialist References
* Salesforce AI Specialist Material explains that the reasoning engine identifies topics and selects agent actions.
* Salesforce Instructions for the Certification confirm that the reasoning engine determines AI workflow execution.
NEW QUESTION # 159
Universal Containers wants to incorporate CRM data as well-formatted JSON in a prompt to a large language model (LLM).
What is an important consideration for this requirement?
- A. "CRM data to JSON" checkbox must be selected when creating a prompt template.
- B. JSON format should be enabled in Prompt Builder Settings.
- C. Apex code can be used to return a JSON formatted merge field.
Answer: C
Explanation:
* Context of the Question
* Universal Containers (UC) wants to send well-formatted JSON data in a prompt to a large language model (LLM).
* The question is about an important technical or design consideration for including CRM data as JSON in that prompt.
* Why Apex Code for JSON Formatting?
* Apex to Generate JSON: Salesforce does not have a simple "checkbox" or single setting to
"convert CRM data to JSON." Typically, to structure data as JSON in a template, you either:
* Use an Apex class that queries or processes the data, then returns a JSON string.
* Use a Flow or formula approach (though complex data structures often require Apex).
* No Built-In "Enable JSON Format in Prompt Builder": Prompt Builder doesn't have a toggle that automatically transforms data into JSON.
* ConclusionThe practical solution to pass CRM data in JSON format to an LLM is touse Apex code(or a specialized Flow approach) to produce a JSON string, which the prompt can then merge and pass along.Hence,Option Bis correct.
SalesforceAgentforce SpecialistReferences & Documents
* Salesforce Documentation:Working with JSON in ApexDescribes how to serialize and deserialize data using Apex for integration or AI prompts.
* SalesforceAgentforce SpecialistStudy GuideEmphasizes the need for custom logic (often in Apex) when complex data transformations (like JSON formatting) are required.
NEW QUESTION # 160
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