IDEAL SALESFORCE SALESFORCE-AI-ASSOCIATE EXAM DUMPS [UPDATED 2025] FOR QUICK SUCCESS

Ideal Salesforce Salesforce-AI-Associate Exam Dumps [Updated 2025] For Quick Success

Ideal Salesforce Salesforce-AI-Associate Exam Dumps [Updated 2025] For Quick Success

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The evergreen field of Salesforce is so attractive that it provides non-stop possibilities for the one who passes the Salesforce Salesforce-AI-Associate exam. So, to be there on top of the IT sector, earning the Salesforce Certified AI Associate Exam (Salesforce-AI-Associate) certification is essential. Because of using outdated Salesforce-AI-Associate Study Material, many candidates don't get success in the Salesforce-AI-Associate exam and lose their resources. The Salesforce-AI-Associate PDF Questions of PrepAwayTest are authentic and real.

Salesforce Salesforce-AI-Associate Exam Syllabus Topics:

TopicDetails
Topic 1
  • AI Capabilities in CRM: Get familiar with the benefits of AI and capabilities of CRM.
Topic 2
  • 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 the Trusted AI Principles of Salesforce to given scenarios.
Topic 3
  • 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 4
  • Data for AI: Questions about the importance of data quality and different elements or components of data quality are related to this topic.

Salesforce Certified AI Associate Exam Sample Questions (Q89-Q94):

NEW QUESTION # 89
Which statement exemplifies Salesforces honesty guideline when training AI models?

  • A. Control bias, toxicity, and harmful content with embedded guardrails and guidance.
  • B. Ensure appropriate consent and transparency when using AI-generated responses.
  • C. Minimize the AI models carbon footprint and environment impact during training.

Answer: B

Explanation:
Explanation
"Ensuring appropriate consent and transparency when using AI-generated responses is a statement that exemplifies Salesforce's honesty guideline when training AI models. Salesforce's honesty guideline is one of the Trusted AI Principles that states that AI systems should be designed and developed with respect for honesty and integrity in how they work and what they produce. Ensuring appropriate consent and transparency means respecting and honoring the choices and preferences of users regarding how their data is used or generated by AI systems. Ensuring appropriate consent and transparency also means providing clear and accurate information and documentation about the AI systems and their outputs."


NEW QUESTION # 90
How does data quality impact the trustworthiness of Al-driven decisions?

  • A. High-quality data improves the reliability and credibility of Al-driven decisions, fostering trust among users.
  • B. Low-quality data reduces the risk of overfitting the model, improving the trustworthiness of the predictions.
  • C. The use of both low-quality and high-quality data can improve the accuracy and reliability of AI-driven decisions.

Answer: A


NEW QUESTION # 91
What should organizations do to ensure data quality for their AI initiatives?

  • A. Rely on AI algorithms to automatically handle data quality issues.
  • B. Collect and curate high-quality data from reliable sources.
  • C. Prioritizemodel fine-tuning over data quality improvements.

Answer: B

Explanation:
"Organizations should collect and curate high-quality data from reliable sources to ensure data quality for their AI initiatives. High-quality data means that the data is accurate, complete, consistent, relevant, and timely for the AI task. Reliable sources mean that the data is trustworthy, credible, and authoritative. Collecting and curating high-quality data from reliable sources can improve the performance and reliability of AI systems."


NEW QUESTION # 92
To avoid introducing unintended bias to an AI model, which type of data should be omitted?

  • A. Demographic
  • B. Transactional
  • C. Engagement

Answer: A

Explanation:
Explanation
"Demographic data should be omitted to avoid introducing unintended bias to an AI model. Demographic data is data that describes the characteristics of a population or a group of people, such as age, gender, race, ethnicity, income, education, or occupation. Demographic data can lead to bias if it is used to discriminate or treat people differently based on their identity or attributes. Demographic data can also reflect existing biases or stereotypes in society or culture, which can affect the fairness and ethics of AI systems."


NEW QUESTION # 93
What are the key components of the data quality standard?

  • A. Reviewing, Updating, Archiving
  • B. Accuracy, Completeness, Consistency
  • C. Naming, formatting, Monitoring

Answer: B

Explanation:
Explanation
"Accuracy, Completeness, Consistency are the key components of the data quality standard. Data quality standard is a set of criteria or measures that define and evaluate the quality of data for a specific purpose or task. Data quality standard can vary by industry, domain, or application, but some common components are accuracy, completeness, and consistency. Accuracy means that the data values are correct and valid for the data attribute. Completeness means that the data values are not missing any relevant information for the data attribute. Consistency means that the data values are uniform and follow a common standard or format across different records, fields, or sources."


NEW QUESTION # 94
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