Question 1

Your company uses AI to generate customer service responses. However, you’ve noticed that the generated content sometimes includes outdated or incorrect information about your products. To ensure that the AI always uses the most current data, which grounding technique should you implement?

Options :

A : Embedding relevant keywords in the prompt

B : Utilizing real-time data feeds

C : Including a pre-set template for responses

D : Restricting the AI to use historical data only

Answer: B

Question 2

A sales team needs to quickly draft personalized proposals for prospective clients. Each proposal should include tailored product recommendations and pricing based on the client’s industry and previous interactions. The team wants to streamline this process without sacrificing the quality and relevance of the content. Should the Prompt Builder be used in this scenario, and why?

Options :

A : Yes, because it can automate the generation of personalized proposals based on specific client data

B : No, because it’s better to manually create proposals to ensure accuracy

C : Yes, but only for generating standard templates without customization

D : No, because the Prompt Builder is only for marketing content

Answer: A

Question 3

Universal Container (UC) has effectively utilized prompt templates to update summary fields on Lightning

record pages. An admin now wishes to incorporate similar functionality into UC's automation process using

Flow.

How can the admin get a response from this prompt template from within a flow to use as part of UC's

automation?

Options :

A : Invocable Apex

B : Flow Action

C : Einstein for Flow

Answer: B

Question 4

A company is using Salesforce Einstein to analyze customer data and generate predictive insights. They need to ensure that sensitive employee salary information is not included in any Einstein analytics due to strict internal data governance policies. How can the company implement this using the Einstein Trust Layer?

Options :

A : Use Field-Level Security to hide the salary information from all users

B : Apply Einstein Data Exclusion to exclude salary information from being processed by Einstein

C : Encrypt the salary fields using Salesforce Shield Encryption

D : Remove the salary fields from the Salesforce schema

Answer: B

Question 5

Universal Containers is planning a marketing email about products that most closely match a

customer's expressed interests.

What should an AI Specialist recommend to generate this email?

Options :

A : Standard email marketing template using Apex or flows for matching interest in products

B : Custom sales email template which is grounded with interest and product information

C : Standard email draft with Einstein and choose standard email template

Answer: B

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