How To Pass The Salesforce AI Specialist Certification Exam?

Salesforce launches new AI specialist certification, validating professionals' expertise in AI technologies within the Salesforce ecosystem. In response to this exciting development, Passcert has promptly released a comprehensive set of Salesforce AI Specialist Certification Exam Dumps, designed to provide candidates with a thorough overview of the exam topics covered in the Salesforce Certified AI Specialist certification. By utilizing these Salesforce AI Specialist Certification Exam Dumps, it will help you effectively prepare for the certification exam and increase their chances of successfully achieving the prestigious Salesforce Certified AI Specialist designation.

Salesforce AI Specialist Certification Exam Dumps

About the Salesforce AI Specialist Credential

The Salesforce AI Specialist credential is designed for individuals aiming to harness the power of generative AI within Salesforce. The AI Specialist plays a pivotal role in the implementation and usage of Einstein AI solutions. This exam is designed for Salesforce Administrators, Developers, and Architects who implement out-of-the-box AI capabilities and enhance them with Copilot Builder, Prompt Builder, and Model Builder. Salesforce Certified AI Specialist candidates should have a foundational knowledge of Salesforce's core capabilities and should be able to navigate Salesforce.

Salesforce AI Specialist Exam Information

Read on for details about the Salesforce Certified AI Specialist Exam.

Content: 60 multiple-choice questions

Time allotted to complete the exam: 105 minutes

Passing score: 73%

Registration fee: Free

Retake fee: $100

No prerequisites are required, however, if you lack any foundational understanding of Salesforce or AI then the following certifications may be helpful:

Salesforce Certified Associate

Salesforce Certified AI Associate

Salesforce Certified Administrator Exam

Salesforce Certified AI Specialist Exam Exam Outline

The Salesforce Certified AI Specialist Exam measures a candidate's knowledge and skills related to the following objectives.

Einstein Trust Layer: 15%

Identify the security, privacy, and grounding features of the Einstein Trust Layer.

Implement and manage the Einstein Trust Layer.

Generative AI in CRM Applications: 17%

Given a scenario, identify the correct generative AI feature in Einstein for Sales.

Given a scenario, identify the correct generative AI feature in Einstein for Service.

Prompt Builder: 37%

Given business requirements, identify when it's appropriate to use Prompt Builder.

Identify the right user roles to manage and execute prompt templates.

Identify the considerations for creating a prompt template.

Given a scenario, identify the appropriate grounding technique.

Explain the process for creating, activating, and executing prompt templates.

Einstein Copilot: 23%

Given business requirements, identify when it's appropriate to use Einstein Copilot.

Explain how the large language model (LLM) identifies and executes a copilot action.

Leverage standard copilot actions and create custom copilot actions.

Manage and monitor Copilot adoption.

Model Builder: 8%

Given business requirements, identify when it's appropriate to use Model Builder.

Configure standard, custom, and Bring Your Own Large Language Model (BYOLLM) generative models.

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1. An AI Specialist wants to ground a new prompt template with the User related list.

What should the AI Specialist consider?

A. The User related list should have View All access.

B. The User related list needs to be included on the record page.

C. The User related list is not supported in prompt templates.

Answer: C

2. Universal Containers (UC) wants to enable its sales team with automatic post-call visibility into mention of competitors, products, and other custom phrases.

Which feature should the AI Specialist set up to enable UC's sales team?

A. Call Summaries

B. CallExplorer

C. Call Insights

Answer: C

3. The marketing team at Universal Containers is looking for a way personalize emails based on customer behavior, preferences, and purchase history.

Why should the team use Einstein Copilot as the solution?

A. To generate relevant content when engaging with each customer

B. To analyze past campaign performance

C. To send automated emails to all customers

Answer: A

4. Universal Containers is evaluating Einstein Generative AI features to improve the productivity of the service center operation.

Which features should the AI Specialist recommend?

A. Service Replies and Case Summaries

B. Service Replies and Work Summaries

C. Reply Recommendations and Sales Summaries

Answer: A

5. 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 isToxicityDetected 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.

Answer: C

6. Universal Containers' service team wants to customize the standard case summary response from Einstein Copilot.

What should the AI Specialist do to achieve this?

A.Customize the standard Record Summary template for the Case object,

B.Summarize the Case with a standard copilot action.

C.Create a custom Record Summary prompt template for the Case object.

Answer: C

7. 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.

Answer: A

8. Universal Containers wants to allow its service agents to query the current fulfillment status of an order with natural language. There is an existing autolaunched flow to query the information from Oracle ERP, whichis the system of record for the order fulfillment process.

How should an AI Specialist apply the power of conversational AI to thisuse case?

A. Create a Flex prompt template in Prompt Builder.

B. Create a custom copilot action which calls a flow.

C. Configure the Integration Flow Standard Action in Einstein Copilot.

Answer: B

9. Universal Containers (UC) wants to offer personalized service experiences and reduce agent handling time with Al-generated email responses, grounded in Knowledge base.

Which AI capability should UC use?

A. Einstein Email Replies

B. Einstein Service Replies for Email

C. Einstein Generative Service Replies for Email

Answer: B

10. When configuring a prompt template, an AI Specialist previews the results of the prompt template they've written. They see two distinct text outputs: Resolution and Response.

Which information does the Resolution text provide?

A.It shows the full text that is sent to the Trust Layer.

B.It shows the response from the LLM based on the sample record.

C.It shows which sensitive data is masked before it is sent to the LLM.

Answer: B