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Excellent Relevant Salesforce-AI-Associate Answers - Valid Salesforce-AI-Associate Exam Tool Guarantee Purchasing Safety

Excellent Relevant Salesforce-AI-Associate Answers - Valid Salesforce-AI-Associate Exam Tool Guarantee Purchasing Safety

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Salesforce Certified AI Associate Exam Sample Questions (Q40-Q45):

NEW QUESTION # 40
Cloud Kicks wants to optimize its business operations by incorporating AI into its CRM.
What should the company do first to prepare its data for use with AI?

  • A. Determine data outcomes.
  • B. Remove biased data.
  • C. Determine data availability.

Answer: C

Explanation:
Explanation
Before using AI to optimize business operations, the company should first assess the availability and quality of its data. Data is the fuel for AI, and without sufficient and relevant data, AI cannot produce accurate and reliable results. Therefore, the company should identify what data it has, where it is stored, how it is accessed, and how it is maintained. This will help the company understand the feasibility and scope of its AI projects.


NEW QUESTION # 41
What is the rile of data quality in achieving AI business Objectives?

  • A. Data quality is required to create accurate AI data insights.
  • B. Data quality is important for maintain Ai data storage limits
  • C. Data quality is unnecessary because AI can work with all data types.

Answer: A

Explanation:
Explanation
"Data quality is required to create accurate AI data insights. Data quality is the degree to which data is accurate, complete, consistent, relevant, and timely for the AI task. Data quality can affect the performance and reliability of AI systems, as they depend on the quality of the data they use to learn from and make predictions. Data quality can also affect the accuracy and validity of AI data insights, as they reflect the quality of the data used or generated by AI systems."


NEW QUESTION # 42
What is one technique to mitigate bias and ensure fairness in AI applications?

  • A. Excluding data features from the Al application to benefit a population
  • B. Using data that contains more examples of minority groups than majority groups
  • C. Ongoing auditing and monitoring of data that is used in AI applications

Answer: C

Explanation:
A technique to mitigate bias and ensure fairness in AI applications is ongoing auditing and monitoring of the data used in AI applications. Regular audits help identify and address any biases that may exist in the data, ensuring that AI models function fairly and without prejudice. Monitoring involves continuously checking the performance of AI systems to safeguard against discriminatory outcomes. Salesforce emphasizes the importance of ethical AI practices, including transparency and fairness, which can be further explored through Salesforce's AI ethics guidelines at Salesforce AI Ethics.


NEW QUESTION # 43
What are some key benefits of AI in improving customer experiences in CRM?

  • A. Fully automates the customer service experience, ensuring seamless automated interactions with customers
  • B. Improves CRM security protocols, safeguarding sensitive customer data from potential breaches and threats
  • C. Streamlines case management by categorizing and tracking customer support cases, identifying topics, and summarizing case resolutions

Answer: C

Explanation:
"Streamlining case management by categorizing and tracking customer support cases, identifying topics, and summarizing case resolutions are some key benefits of AI in improving customerexperiences in CRM. AI can help automate and optimize various aspects of customer service, such as routing cases to the right agents, providing relevant information or suggestions, and generating reports or insights. AI can also help enhance customer satisfaction and loyalty by reducing wait times, improving response quality, and providing personalized solutions."


NEW QUESTION # 44
A developer has a large amount of data, but it is scattered across different systems and is not standardized.
Which key data quality element should they focus on to ensure the effectiveness of the AI models?

  • A. Volume
  • B. Consistency
  • C. Performance

Answer: B

Explanation:
When data is scattered and not standardized, the key data quality element a developer should focus on is consistency. Consistency refers to the uniformity and standardization of data across different systems, which is crucial for integrating and analyzing data effectively, especially when developing AI models. Inconsistent data can lead to errors in analysis, poor AI model performance, and misleading insights. Salesforce provides tools and practices for ensuring data consistency, such as data integration and management solutions that help standardize and synchronize data across platforms. For more information on Salesforce data management, refer to the Salesforce data management tools at Salesforce Data Management.


NEW QUESTION # 45
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