100% PASS QUIZ 2025 SALESFORCE TRUSTABLE SALESFORCE-AI-ASSOCIATE: SALESFORCE CERTIFIED AI ASSOCIATE EXAM EXAM TOPIC

100% Pass Quiz 2025 Salesforce Trustable Salesforce-AI-Associate: Salesforce Certified AI Associate Exam Exam Topic

100% Pass Quiz 2025 Salesforce Trustable Salesforce-AI-Associate: Salesforce Certified AI Associate Exam Exam Topic

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Salesforce Salesforce-AI-Associate Exam Syllabus Topics:

TopicDetails
Topic 1
  • AI Fundamentals: This topic discusses the major principles and applications of AI within Salesforce. It also focuses on different types of AI and their capabilities.
Topic 2
  • Data for AI: Questions about the importance of data quality and different elements or components of data quality are related to this topic.
Topic 3
  • Ethical Considerations of AI: It delves into the ethical challenges of AI such as human bias in machine learning, lack of transparency, etc. The topic also explains how to apply Trusted AI Principles of Salesforce to given scenarios.
Topic 4
  • AI Capabilities in CRM: Get familiar with the benefits of AI and capabilities of CRM.

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Salesforce Certified AI Associate Exam Sample Questions (Q46-Q51):

NEW QUESTION # 46
Cloud Kicks wants to evaluate its data quality to ensure accurate and up-to-date records.
Which type of records negatively impact data quality?

  • A. Structured
  • B. Complete
  • C. Duplicate

Answer: C

Explanation:
Duplicate records negatively impact data quality by creating inconsistencies and confusion in database management, leading to potential errors in customer relationship management (CRM) systems like Salesforce.
Duplicates can skew analytics results, lead to inefficiencies in customer service, and result in redundant marketing efforts. Salesforce offers various tools to identify and merge duplicate records, thereby maintaining high data integrity. More about managing duplicate records in Salesforce and ensuring data quality can be found in Salesforce's documentation on duplicate management at Salesforce Duplicate Management.


NEW QUESTION # 47
Cloud Kicks wants to use AI to enhance its sales processesand customer support.
Which capacity should they use?

  • A. Einstein Lead Scoring and Case Classification
  • B. Dashboard of Current Leads and Cases
  • C. Sales path and Automaton Case Escalations

Answer: A

Explanation:
"Einstein Lead Scoring and Case Classification are thecapabilities that Cloud Kicks should use to enhance its sales processes and customer support. Einstein Lead Scoring and Case Classification are features that use AI tooptimize sales and service processes by providing insights and recommendations based ondata. Einstein Lead Scoring can help prioritize leads based on their likelihood to convert, while Einstein Case Classification can help categorize and route cases based on their attributes."


NEW QUESTION # 48
Why is it critical to consider privacy concernswhen dealing with AI and CRM data?

  • A. Increases the volume of data collected
  • B. Confirms the data is accessible to all users
  • C. Ensures compliance with laws and regulations

Answer: C

Explanation:
"It is critical to consider privacy concerns when dealing with AI and CRM data because it ensures compliance with laws and regulations. Data privacy is the right of individuals to control how their personal data is collected, used, shared, or stored by others. Data privacy laws and regulations are legal frameworks that defineand enforce the rights and obligations of data subjects, data controllers, and data processors regarding personal data. Data privacy laws and regulations vary by country, region, or industry, and may impose different requirements or restrictions on how AIand CRM data can be handled."


NEW QUESTION # 49
Cloud Kicks relies on data analysis to optimize its product recommendations for customers.
How will incomplete data quality impact the company's recommendations?

  • A. The accuracy of the product
  • B. The diversity of the product
  • C. The response time for the product

Answer: A

Explanation:
Incomplete data quality negatively impacts the accuracy of product recommendations made by Cloud Kicks.
If data is missing or incomplete, the AI models used for product recommendation may not have enough information to accurately predict customer preferences and behavior. This leads to recommendations that may not align well with customer needs, reducing customer satisfaction and potentially affecting sales.
Ensuring complete and accurate data is crucial for effective recommendation systems. Salesforce discusses the impact of data quality on AI outcomes and strategies to enhance data integrity in their documentation on AI and data management, which can be referenced at Data Management for AI.


NEW QUESTION # 50
How does AI which CRM help sales representatives better understand previous customer interactions?

  • A. Triggers personalized service replies
  • B. Creates, localizes, and translates product descriptions
  • C. Provides call summaries

Answer: C

Explanation:
Explanation
"Providing call summaries is how AI with CRM helps sales representatives better understand previous customer interactions. Call summaries are a feature that uses natural language processing (NLP) to analyze voice conversations between sales representatives and customers and generate summaries or transcripts of the calls. Call summaries can help sales representatives better understand previous customer interactions by providing key information, insights, or action items from the calls."


NEW QUESTION # 51
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