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Salesforce Certified AI Specialist Exam Sample Questions (Q66-Q71):
NEW QUESTION # 66
A Salesforce Administrator wants to generate personalized, targeted emails that incorporate customer interaction data. The admin wants to leverage large language models (LLMs) to write the emails, and wants to reuse templates for different products and customers.
Which solution approach should the admin leverage?
Answer: B
NEW QUESTION # 67
Universal Containers plans to enhance its sales team's productivity using Al.
Which specific requirement necessitates the use of Prompt Builder?
Answer: A
NEW QUESTION # 68
Universal Containers implements Custom Copilot Actions to enhance its customer service operations. The development team needs to understand the core components of a Custom Copilot Action to ensure proper configuration and functionality.
What should the development team review in the Custom Copilot Action configuration to identify one of the core components of a Custom Copilot Action?
Answer: A
Explanation:
Instructions: This is a core component of Custom Copilot Actions. Instructions tell the AI model what the action should do and how it should be executed. Clear and concise instructions are crucial for the action to function correctly and provide the expected outcome.
Let's look at why the other options are not the primary core component:
Output Types: While important for defining the kind of data the action produces, it's not the core defining element of the action itself.
Action Triggers: These determine when the action is initiated, but they don't define the core functionality of the action.
NEW QUESTION # 69
After creating a foundation model in Einstein Studio, which hyperparameter should an AI Specialist use to adjust the balance between consistency and randomness of a response?
Answer: C
Explanation:
The Temperature hyperparameter controls the randomness of model outputs:
* Low Temperature (e.g., 0.2): More deterministic, consistent responses.
* High Temperature (e.g., 1.0): More creative, varied responses.
* Presence Penalty (Option A): Discourages repetition of tokens, unrelated to randomness.
* Variability (Option B): Not a standard hyperparameter in Einstein Studio.
References:
* Einstein Studio Documentation: Model Hyperparameters
* Explicitly states "Temperature adjusts the balance between predictable and random outputs."
NEW QUESTION # 70
An AI Specialist is creating a custom action for Agentforce.
Which setting should the AI Specialist test and iterate on to ensure the action performs as expected?
Answer: C
Explanation:
When creating a custom action for Einstein Bots in Salesforce (including Agentforce), Action Instructions are critical for defining how the bot processes and executes the action. These instructions guide the bot on the logic to follow, such as API calls, data transformations, or conditional steps. Testing and iterating on the instructions ensures the bot understands how to handle dynamic inputs, external integrations, and decision- making.
Salesforce documentation emphasizes that Action Instructions directly impact the bot's ability to execute workflows accurately. For example, poorly defined instructions may lead to incorrect API payloads or failure to parse responses. The Einstein Bot Developer Guide highlights that refining instructions is essential for aligning the bot's behavior with business requirements.
In contrast:
* Action Name (A) is a static identifier and does not affect functionality.
* Action Input (B) defines parameters passed to the action but does not dictate execution logic.
Thus, iterating on Action Instructions (C) ensures the action performs as expected.
NEW QUESTION # 71
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