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Salesforce-AI-Specialist資格模擬、Salesforce-AI-Specialist真実試験
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JPNTestが提供した対応性の訓練問題をテストにして初めてSalesforceのSalesforce-AI-Specialist認定試験に参加する受験者の最もよいな選択でございます。真実試験問題が似てるのを確保することができて一回合格するのは目標にしています。もし試験に失敗したら、弊社が全額で返金いたします。
Salesforce Salesforce-AI-Specialist 認定試験の出題範囲:
トピック
出題範囲
トピック 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.
トピック 2
- 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.
トピック 3
- 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.
トピック 4
- 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.
トピック 5
- 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.
>> Salesforce-AI-Specialist資格模擬 <<
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Salesforce Certified AI Specialist Exam 認定 Salesforce-AI-Specialist 試験問題 (Q70-Q75):
質問 # 70
Universal Containers (UC) wants to use the Draft with Einstein feature in Sales Cloud to create a personalized introduction email.
After creating a proposed draft email, which predefined adjustment should UC choose to revise the draft with a more casual tone?
- A. Optimize for Clarity
- B. Make Less Formal
- C. Enhance Friendliness
正解:B
解説:
WhenUniversal Containersuses theDraft with Einsteinfeature inSales Cloudto create a personalized email, the predefined adjustment toMake Less Formalis the correct option to revise the draft with a more casual tone. This option adjusts the wording of the draft to sound less formal, making the communication more approachable while still maintaining professionalism.
* Enhance Friendlinesswould make the tone more positive, but not necessarily more casual.
* Optimize for Clarityfocuses on making the draft clearer but doesn't adjust the tone.
For more details, seeSalesforce documentation on Einstein-generated email draftsand tone adjustments.
質問 # 71
An AI Specialist needs to create a prompt template to fill a custom field named Latest Opportunities Summary on the Account object with information from the three most recently opened opportunities.
How should the AI Specialist gather the necessary data for the prompt template?
- A. Select the latest Opportunities related list as a merge field.
- B. Create a flow to retrieve the opportunity information.
- C. Select the Account Opportunity object as a resource when creating the prompt template.
正解:B
解説:
To gather the necessary data for populating theLatest Opportunities Summarycustom field on theAccount object with information from the three most recently opened opportunities, the AI Specialist shouldcreate a flow. Aflowcan be configured to query and retrieve the required opportunity records based on criteria such as their open date. Once the flow has gathered the necessary data, it can be used in aprompt templateor other automation processes to populate the custom field on the Account record.
* Option Ais correct because creating a flow allows for dynamic data retrieval and control over the logic for selecting the most recent opportunities.
* Option BandOption Cdo not provide sufficient control or data retrieval capabilities needed for this scenario.
References:
* Salesforce Flow Documentation:https://help.salesforce.com/s/articleView?id=sf.flow.htm
質問 # 72
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 an autolaunched flow and invoke the prompt template using the standard "Prompt Template" flow action.
- C. Create a template-triggered prompt flow and invoke the prompt template using the standard "Prompt Template" flow action.
正解:A
解説:
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.
Salesforce AI Specialist References:For further guidance on creating prompt templates with flows:
https://help.salesforce.com/s/articleView?id=sf.prompt_template_flow_integration.htm
質問 # 73
Which business requirement presents a good use case for leveraging Einstein Prompt Builder?
- A. Forecast future sales trends based on historical data.
- B. Identify potential high-value leads for targeted marketing campaigns.
- C. Send reply to a request for proposal via a personalized email.
正解:C
解説:
* Context of the Question
* Einstein Prompt Builder is a Salesforce feature that helps generate text (summaries, email content, responses) using AI models.
* The question presents three potential use cases, asking which one best fits the capabilities of Einstein Prompt Builder.
* Einstein Prompt Builder Typical Use Cases
* Text Generation & Summaries: Great for writing or summarizing content, like responding to an email or generating text for a record field.
* Why Not Forecast Future Sales Trends or Identify Potential High-Value Leads?
* (Option A) Forecasting trends typically involves predictive analytics and modeling capabilities found in Einstein Discovery or standard reporting, not generative text solutions.
* (Option B) Identifying leads for marketing campaigns involves lead scoring or analytics, again an Einstein Discovery or Lead Scoring scenario.
* Sending a Personalized RFP Email(Option C) is a classic example of using generative AI to compose well-structured, context-aware text.
* ConclusionOption C(Send reply to a request for proposal via a personalized email) is the best match for Einstein Prompt Builder's generative text functionality.
Salesforce AI Specialist References & Documents
* Salesforce Documentation:Einstein Prompt Builder OverviewHighlights how to use Prompt Builder to create and customize text-based responses, especially for email or record fields.
* Salesforce AI Specialist Study GuideExplains that generative AI features in Salesforce are designed for creating or summarizing text, not for advanced predictive use cases (like forecasting or lead scoring).
質問 # 74
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. Copilot Builder
- B. Model Builder
- C. App Builder
正解:B
解説:
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
質問 # 75
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