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Salesforce-AI-Specialist Practice Questions

Question # 1
Universal Containers wants to be able to detect with a high level confidence if content generated by a large language model (LLM) contains toxic language. Which action should an Al Specialist take in the Trust Layer to confirm toxicity is being appropriately managed?
A. Access the Toxicity Detection log in Setup and export all entries where is Toxicity Detected is true.
B. Create a flow that sends an email to a specified address each time the toxicity score from the response exceeds a predefined threshold.
C. Create a Trust Layer audit report within Data Cloud that uses a toxicity detector type filter to display toxic responses and their respective scores.


C. Create a Trust Layer audit report within Data Cloud that uses a toxicity detector type filter to display toxic responses and their respective scores.

Explanation:

To ensure that content generated by a large language model (LLM) is appropriately screened for toxic language, the AI Specialist should create a Trust Layer audit report with in Data Cloud. By using the toxicity detector type filter, the report can display toxic responses along with their respective toxicity scores, allowing Universal Containers to monitor and manage any toxic content generated with a high level of confidence.

Option C is correct because it enables visibility into toxic language detection with in the Trust Layer and allows for auditing responses for toxicity.

Option A suggests checking a toxicity detection log, but Salesforce provides more comprehensive options via the audit report.

Option B involves creating a flow, which is unnecessary for toxicity detection monitoring.

Question # 2
Universal Containers (UC) wants to improve the efficiency of addressing customer questions and reduce agent handling time with AI- generated responses. The agents should be able to leverage their existing knowledge base and identify whether the responses are coming from the large language model (LLM) or from Salesforce Knowledge.
Which step should UC take to meet this requirement?
A. Turn on Service AI Grounding, Grounding with Case, and Service Replies.
B. Turn on Service Replies, Service AI Grounding, and Grounding with Knowledge.
C. Turn on Service AI Grounding and Grounding with Knowledge.


B. Turn on Service Replies, Service AI Grounding, and Grounding with Knowledge.

Explanation: To meetUniversal Containers'goal of improving efficiency and reducing agent handling time with AI-generated responses, the best approach is to enableService Replies,Service AI Grounding, andGrounding with Knowledge.
Service Repliesgenerates responses automatically.
Service AI Groundingensures that the AI is using relevant case data.
Grounding with Knowledgeensures that responses are backed by Salesforce Knowledge articles, allowing agents to identify whether a response is coming from theLLMorSalesforce Knowledge.
Option Cdoes not includeService Replies, which is necessary for generating AI responses.
Option Alacks theGrounding with Knowledge, which is essential for identifying response sources.

Question # 3
Universal Containers wants to make a sales proposal and directly use data from multiple unrelated objects (standard and custom) inaprompt template.
What should the AI Specialist recommend?
A. Create a Flex template to add resources with standard and custom objects as inputs.
B. Create a prompt template passing in a special custom object that connects the records temporarily,
C. Create a prompt template-triggered flow to access the data from standard and custom objects.


A. Create a Flex template to add resources with standard and custom objects as inputs.

Explanation: Universal Containers needs to generate a sales proposal using data from multiple unrelated standard and custom objects within a prompt template. The most effective way to achieve this is by using a Flex template.
Flex templates in Salesforce allow AI specialists to create prompt templates that can accept inputs from multiple sources, including various standard and custom objects. This flexibility enables the direct use of data from unrelated objects without the need to create intermediary custom objects or complex flows.

Question # 4
What is an AI Specialist able to do when the “Enrich event logs with conversation data" setting in Einstein Copilot is enabled?
A. View the user click path that led to each copilot action.
B. View session data including user Input and copilot responses for sessions over the past 7 days.
C. Generate details reports on all Copilot conversations over any time period.


B. View session data including user Input and copilot responses for sessions over the past 7 days.

Explanation: When the"Enrich event logs with conversation data"setting is enabled in Einstein Copilot, it allows an AI Specialist or admin to view session data, including both theuser inputandcopilot responsesfrom interactions over the past 7 days. This data is crucial for monitoring how the copilot is being used, analyzing its performance, and improving future interactions based on past inputs.
This setting enriches the event logs with detailed conversational data for better insights into the interaction history, helping AI specialists track AI behavior and user engagement.
Option A, viewing the user click path, focuses on navigation but is not part of the conversation data enrichment functionality.
Option C, generating detailed reports over any time period, is incorrect because this specific feature is limited to data for the past 7 days.

Question # 5
Universal Containers wants to implement a solution in Salesforce with a custom UX that allows users to enter a sales order number.
Subsequently, the system will invoke a custom prompt template to create and display a summary of the sales order header and sales order details.
Which solution should an AI Specialist implement to meet this requirement?
A. Create a screen flow to collect sales order number and invoke the prompt template using the standard "Prompt Template" flow action.
B. Create a template-triggered prompt flow and invoke the prompt template using the standard “Prompt Template” flow action.
C. Create an autolaunched flow and invoke the prompt template using the standard “Prompt Template" flow action.


A. Create a screen flow to collect sales order number and invoke the prompt template using the standard "Prompt Template" flow action.

Explanation: To implement a solution where users enter a sales order number and the system generates a summary, the AI Specialist should create ascreen flowto collect the sales order number and invoke the prompt template. The standard"Prompt Template" flow actioncan then be used to trigger the custom prompt, providing a summary of the sales order header and details.
Option B, creating a template-triggered prompt flow, is not necessary for this scenario because the requirement is to directly collect input through a screen flow.
Option C, using an autolaunched flow, would be inappropriate here because the solution requires user interaction (entering a sales order number), which is best suited to a screen flow.

Question # 6
An AI Specialist at Universal Containers (UC) Is tasked with creating a new custom prompt template to populate a field with generated output. UC enabled the Einstein Trust Layer to ensure AI Audit data is captured and monitored for adoption and possible enhancements.
Which prompt template type should the AI Specialist use and which consideration should they review?
A. Flex, and that Dynamic Fields is enabled
B. Field Generation, and that Dynamic Fields is enabled
C. Field Generation, and that Dynamic Forms is enabled


B. Field Generation, and that Dynamic Fields is enabled

Explanation: When creating acustom prompt templateto populate a field with generated output, the most appropriate template type isField Generation. This template is specifically designed for generating field-specific outputs using generative AI.
Additionally, the AI Specialist must ensure thatDynamic Fieldsare enabled.Dynamic Fieldsallow the system to use real-time data inputs from related records or fields when generating content, ensuring that the AI output is contextually accurate and relevant. This is crucial when populating specific fields with AI-generated content, as it ensures the data source remains dynamic and up-to-date.
TheEinstein Trust Layerwill track and audit the interactions to ensure the organization can monitor AI adoption and make necessary enhancements based on AI usage patterns. For further reading, refer to Salesforce’s guidelines onField Generation templatesand the Einstein Trust Layer.

Question # 7
Universal Containers (UC) recently rolled out Einstein Generative capabilities and has created a custom prompt to summarize case records. Users have reported that the case summaries generated are not returning the appropriate information.
What is a possible explanation for the poor prompt performance?
A. The data being used for grounding Is incorrect or incomplete.
B. The prompt template version is incompatible with the chosen LLM.
C. The Einstein Trust Layer is incorrectly configured.


A. The data being used for grounding Is incorrect or incomplete.

Explanation: Poor prompt performance when generating case summaries is often due to the data used forgroundingbeingincorrect or incomplete. Grounding involves feeding accurate, relevant data to the AI so it can generate appropriate outputs. If the data source is incomplete or contains errors, the generated summaries will reflect that by being inaccurate or insufficient.
Option B(prompt template incompatibility with the LLM) is unlikely because such incompatibility usually results in more technical failures, not poor content quality.
Option C(Einstein Trust Layer misconfiguration) is focused on data security and auditing, not the quality of prompt responses.
For more information, refer toSalesforce documentation on grounding AI modelsand data quality best practices.

Question # 8
Which feature in the Einstein Trust Layer helps to minimize the risks of jailbreaking and prompt injection attacks?
A. Secure Data Retrieval and Grounding
B. Data Masking
C. Prompt Defense


C. Prompt Defense

Explanation: Prompt Defenseis a feature in theEinstein Trust Layerthat helps minimize the risks ofjailbreakingandprompt injection attacks. These attacks occur when malicious users try to manipulate the AI model by providing unintended inputs.Prompt Defense ensures that the prompts are processed securely, protecting the system from such vulnerabilities.
Option A(Secure Data Retrieval and Grounding) relates to ensuring that data used by AI is securely retrieved but does not address prompt security.
Option B(Data Masking) focuses on protecting sensitive information but does not prevent injection attacks.
For more information, refer toSalesforce's Einstein Trust Layer documentationon Prompt Defenseand security features.

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Salesforce Salesforce-AI-Specialist Exam Dumps

Exam Name: Salesforce Certified AI Specialist Exam
Certification Name: AI Associate

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  • Total Questions: 92
  • Last Updation Date: 22-Oct-2024
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