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| Topic |
Details |
| Topic 1 |
- Model Builder: This portion of the exam focuses on Salesforce AI specialists' expertise in working with AI models within Salesforce environments. Candidates will need to demonstrate knowledge of when to use the Model Builder and how to configure standard, custom, or Bring Your Own Large Language Model (BYOLLM) generative models to meet business needs.
|
| Topic 2 |
- Agentforce Tools: In this topic, AI specialists get knowledge using agents when it is appropriate. Moreover, the topic explains the working of agents and reasoning engine powers Agentforce. Lastly, the topic focuses on managing and monitoring agent adoption.
|
| Topic 3 |
- Prompt Builder: This section evaluates the expertise of AI specialists working with Salesforce's AI tools. It focuses on the Prompt Builder feature, requiring candidates to understand its usage based on business needs.
|
| Topic 4 |
- Generative AI in CRM Applications: This part of the exam assesses AI specialists’ knowledge of generative AI within CRM systems. It covers the use of generative AI features in Einstein for Sales and Einstein for Service.
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| Topic 5 |
- Einstein Trust Layer: This section evaluates the skills of Salesforce AI specialists responsible for implementing security protocols and safeguarding data privacy. It emphasizes the security, privacy, and foundational features of the Einstein Trust Layer.
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Salesforce Certified AI Specialist Exam Sample Questions (Q30-Q35):
NEW QUESTION # 30
An AI Specialist built a Field Generation prompt template that worked for many records, but users are reporting random failures with token limit errors.
What is the cause of the random nature of this error?
- A. The template type needs to be switched to Flex to accommodate the variable amount of tokens generated by the prompt grounding.
- B. The number of tokens that can be processed by the LLM varies with total user demand.
- C. The number of tokens generated by the dynamic nature of the prompt template will vary by record.
Answer: C
NEW QUESTION # 31
Universal Containers' data science team is hosting a generative large language model (LLM) on Amazon Web Services (AWS).
What should the team use to access externally-hosted models in the Salesforce Platform?
- A. Model Builder
- B. App Builder
- C. Copilot Builder
Answer: A
Explanation:
To accessexternally-hosted models, such as a large language model (LLM) hosted on AWS, theModel Builderin Salesforce is the appropriate tool.Model Builderallows teams to integrate and deploy external AI models into the Salesforce platform, making it possible to leverage models hosted outside of Salesforce infrastructure while still benefiting from the platform's native AI capabilities.
* Option B, App Builder, is primarily used to build and configure applications in Salesforce, not to integrate AI models.
* Option C, Copilot Builder, focuses on building assistant-like tools rather than integrating external AI models.
Model Builder enables seamless integration with external systems and models, allowing Salesforce users to use external LLMs for generating AI-driven insights and automation.
Salesforce AI Specialist References:For more details, check the Model Builder guide here:https://help.
salesforce.com/s/articleView?id=sf.model_builder_external_models.htm
NEW QUESTION # 32
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. Generate details reports on all Copilot conversations over any time period.
- C. View session data including user Input and copilot responses for sessions over the past 7 days.
Answer: C
Explanation:
When the"Enrich event logs with conversation data"setting is enabled inEinstein 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.
Salesforce AI Specialist References:You can refer to this documentation for further insights:https://help.
salesforce.com/s/articleView?id=sf.einstein_copilot_event_logging.htm
NEW QUESTION # 33
Where should the AI Specialist go to add/update actions assigned to a copilot?
- A. Copilot Detail page, Global Actions, or the record page for the copilot action
- B. Copilot Actions page, the record page for the copilot action, or the Copilot Action Library tab
- C. Copilot Actions page or Global Actions
Answer: B
Explanation:
To add or update actions assigned to a copilot, an AI Specialist can manage this through several areas:
Copilot Actions Page: This is the central location where copilot actions are managed and configured.
Record Page for the Copilot Action: From the record page, individual copilot actions can be updated or modified.
Copilot Action Library Tab: This tab serves as a repository where predefined or custom actions for Copilot can be accessed and modified.
These areas provide flexibility in managing and updating the actions assigned to Copilot, ensuring that the AI assistant remains aligned with business requirements and processes.
The other options are incorrect:
B misses the Copilot Action Library, which is crucial for managing actions.
C includes the Copilot Detail page, which isn't the primary place for action management.
Reference:
Salesforce Documentation on Managing Copilot Actions
Salesforce AI Specialist Guide on Copilot Action Management
NEW QUESTION # 34
Northern Trail Outfitters (NTO) wants to configure Einstein Trust Layer in its production org but is unable to see the option on the Setup page.
After provisioning Data Cloud, which step must an Al Specialist take to make this option available to NTO?
- A. Turn on Einstein Copilot.
- B. Turn on Einstein Generative AI.
- C. Turn on Prompt Builder.
Answer: B
Explanation:
For Northern Trail Outfitters (NTO) to configure theEinstein Trust Layer, theEinstein Generative AI feature must be enabled. The Einstein Trust Layer is closely tied to generative AI capabilities, ensuring that AI-generated content complies with data privacy, security, and trust standards.
* Option A(Turning on Einstein Copilot) is unrelated to the setup of the Einstein Trust Layer, which focuses more on generative AI interactions and data handling.
* Option C(Turning on Prompt Builder) is used for configuring and building AI-driven prompts, but it does not enable the Einstein Trust Layer.
Salesforce AI Specialist References:For more details on the Einstein Trust Layer and setup steps:https://help.
salesforce.com/s/articleView?id=sf.einstein_trust_layer_overview.htm
NEW QUESTION # 35
......
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