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Salesforce Certified AI Specialist Exam Sample Questions (Q44-Q49):

NEW QUESTION # 44
A data scientist needs to view and manage models in Einstein Studio. The data scientist also needs to create prompt templates in Prompt Builder.
Which permission sets should an AI Specialist assign to the data scientist?

A. Data Cloud Admin and Prompt Template Manager
B. Prompt Template Manager and Prompt Template User
C. Prompt Template User and Data Cloud Admin

Answer: A

Explanation:
To allow a data scientist to view and manage models inEinstein Studioand create prompt templates in Prompt Builder, the AI Specialist should assign theData Cloud AdminandPrompt Template Manager permission sets.
* Data Cloud Adminprovides access to manage and oversee models withinEinstein Studio.
* Prompt Template Managergives the user the ability to create and manage prompt templates within Prompt Builder.
* Option Ais correct because it assigns the necessary permissions for both managing models and creating prompt templates.
* Option BandOption Care incorrect as they do not provide the correct combination of permissions for managing models and building prompts.
References:
* Salesforce Permissions Documentation:https://help.salesforce.com/s/articleView?id=sf.
perm_sets_overview.htm

NEW QUESTION # 45
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 AI Grounding and Grounding with Knowledge.
C. Turn on Service Replies, Service AI Grounding, and Grounding with Knowledge.

Answer: B

Explanation:
To meet Universal Containers' goal of improving efficiency and reducing agent handling time with AI- generated responses, the best approach is to enable Service Replies, Service AI Grounding, and Grounding with Knowledge.
* Service Replies generates responses automatically.
* Service AI Grounding ensures that the AI is using relevant case data.
* Grounding with Knowledge ensures that responses are backed by Salesforce Knowledge articles, allowing agents to identify whether a response is coming from the LLM or Salesforce Knowledge.
* Option C does not include Service Replies, which is necessary for generating AI responses.
* Option A lacks the Grounding with Knowledge, which is essential for identifying response sources.
For more details, refer to Salesforce Service AI documentation on grounding and service replies.

NEW QUESTION # 46
Universal Containers (UC) is experimenting with using public Generative AI models and is familiar with the language required to get the information it needs. However, it can be time consuming for both UC's sales and service reps to type in the prompt to get the information they need, and ensure prompt consistency.
Which Salesforce feature should a Salesforce AI Specialist recommend to address these concerns?

A. Einstein Recommendation Builder
B. Einstein Copilot Action: Query Records
C. Einstein Prompt Builder and Prompt Templates

Answer: C

Explanation:
For Universal Containers (UC), to reduce the time and ensure prompt consistency when using public generative AI models, the recommended feature is Einstein Prompt Builder and Prompt Templates. This feature allows teams to create reusable and consistent prompts for generative AI tasks, ensuring that all users receive uniform responses without having to type in detailed prompts manually every time.
Einstein Prompt Builder simplifies the creation of prompts, and Prompt Templates standardize the inputs, saving time for sales and service reps.
Option A (Einstein Recommendation Builder) is more focused on recommendations, not prompt standardization.
Option B (Einstein Copilot Action: Query Records) is for querying records, not generating AI-driven prompts.
Reference:
Salesforce Prompt Builder Overview: https://help.salesforce.com/s/articleView?id=sf.prompt_builder_overview.htm

NEW QUESTION # 47
Universal Containers (UC) has implemented Generative AI within Salesforce to enable summarization of a custom object called Guest. Users have reported mismatches in the generated information.
In refining its prompt design strategy, which key practices should UC prioritize?

A. Enable prompt test mode, allocate different prompt variations to a subset of users for evaluation, and standardize the most effective model based on performance feedback.
B. Create concise, clear, and consistent prompt templates with effective grounding, contextual role- playing, clear instructions, and iterative feedback.
C. Submit a prompt review case to Salesforce and conduct thorough testing In the playground to refine outputs until they meet user expectations.

Answer: B

Explanation:
ForUniversal Containers (UC)to refine itsGenerative AIprompt design strategy and improve the accuracy of the generated summaries for the custom objectGuest, the best practice is to focus on craftingconcise, clear, and consistent prompt templates. This includes:
* Effective grounding: Ensuring the prompt pulls data from the correct sources.
* Contextual role-playing: Providing the AI with a clear understanding of its role in generating the summary.
* Clear instructions: Giving unambiguous directions on what to include in the response.
* Iterative feedback: Regularly testing and adjusting prompts based on user feedback.
* Option Bis correct because it follows industry best practices for refining prompt design.
* Option A(prompt test mode) is useful but less relevant for refining prompt design itself.
* Option C(prompt review case with Salesforce) would be more appropriate for technical issues or complex prompt errors, not general design refinement.
References:
* Salesforce Prompt Design Best Practices:https://help.salesforce.com/s/articleView?id=sf.
prompt_design_best_practices.htm

NEW QUESTION # 48
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 prompt template version is incompatible with the chosen LLM.
B. The Einstein Trust Layer is incorrectly configured.
C. The data being used for grounding Is incorrect or incomplete.

Answer: C

Explanation:
Poor prompt performance when generating case summaries is often due to the data used forgroundingbeing incorrect 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.

NEW QUESTION # 49
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