FREE PDF 2025 AUTHORITATIVE SALESFORCE-AI-ASSOCIATE: REAL SALESFORCE CERTIFIED AI ASSOCIATE EXAM QUESTION

Free PDF 2025 Authoritative Salesforce-AI-Associate: Real Salesforce Certified AI Associate Exam Question

Free PDF 2025 Authoritative Salesforce-AI-Associate: Real Salesforce Certified AI Associate Exam Question

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Practice tests (desktop and web-based) provide an Salesforce Salesforce-AI-Associate examination scenario so your preparation for the Salesforce Certified AI Associate Exam (Salesforce-AI-Associate) exam becomes quite easier. Since the real Salesforce-AI-Associate examination costs a high penny, PrepAwayExam provide a free demo of Salesforce Salesforce-AI-Associate Exam Dumps before your purchase. The free demo of the Salesforce Certified AI Associate Exam (Salesforce-AI-Associate) exam prep material is helpful to remove your doubts about it. The product is available in three versions which are PDF, Web-based practice test, and Desktop practice test software.

Salesforce Salesforce-AI-Associate Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 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
  • AI Capabilities in CRM: Get familiar with the benefits of AI and capabilities of CRM.
Topic 4
  • 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.

>> Real Salesforce-AI-Associate Question <<

Salesforce-AI-Associate Dump Collection & Salesforce-AI-Associate Exam Certification Cost

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Salesforce Certified AI Associate Exam Sample Questions (Q27-Q32):

NEW QUESTION # 27
A sales manager wants to use AI to help sales representatives log their calls quicker and more accurately.
Which functionality provides the best solution?

  • A. Call Summaries
  • B. Auto-Generated Sales Tasks
  • C. Sales Dialer

Answer: A

Explanation:
The best functionality to help sales representatives log their calls quicker and more accurately is the use of AI-generated Call Summaries. This feature leverages AI to analyze voice data from sales calls and automatically generate concise summaries and actionable insights, which are then logged into the CRM system. This not only speeds up the process of recording call details but also enhances the accuracy of the data captured, reducing the likelihood of human error and ensuring that important details are not missed.
Salesforce provides AI tools that integrate with telephony solutions to enable these capabilities, enhancing the efficiency of sales operations. For more information on Salesforce AI features like Einstein Call Coaching that support this functionality, visit Salesforce Einstein Call Coaching.


NEW QUESTION # 28
Cloud Kicks is testing a new AI model.
Which approach aligns with Salesforce's Trusted AI Principle of Incluslvity?

  • A. Test only with data from a specific region or demographic to limit the risk of data leaks.
  • B. Test with diverse and representative datasets appropriate for how the model will be used.
  • C. Rely on a development team with uniform backgrounds to assess the potential societal implications of the model.

Answer: B

Explanation:
"Testing with diverseand representative datasets appropriate for how the model will be used aligns with Salesforce's Trusted AI Principle of Inclusivity. Inclusivity means that AI systems should be designed and developed with respect for diversity and inclusion of different perspectives, backgrounds, and experiences.Testing with diverse and representative datasets can help ensure that the models are fair, unbiased, and representative of the target population or domain."


NEW QUESTION # 29
Which statement exemplifies Salesforces honesty guideline when training AI models?

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

Answer: C

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 andpreferences 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 # 30
Which best describes the difference between predictive AI and generative Al?

  • A. Predictive AT uses machine learning to classify or predict outputs from its input data whereas generative Al does not use machine learning to generate its output.
  • B. Predictive Al uses machine learning to classify or predict outputs from its input data whereas generative Al uses machine learning to generate new and original output for 4 given input
  • C. Predictive Al and generative Al have the same capabilities but differ in the type of input they receive; predictive AT receives raw data whereas generative AT receives natural language.

Answer: B

Explanation:
Predictive AI and generative AI represent two different applications of machine learning technologies.
Predictive AI focuses on making predictions based on historical data. It analyzes past data to forecast future outcomes, such as customer churn or sales trends. On the other hand, generative AI is designed to generate new and original outputs based on the learned data patterns. This includes tasks like creating new images, text, or music that resemble the training data but do not duplicate it. Both types of AI use machine learning, but their objectives and outputs are distinct. For detailed differences and applications in a Salesforce context, Salesforce's guide on AI technologies is a helpful resource, accessible at Salesforce AI Technologies.


NEW QUESTION # 31
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

Explanation:
"High-quality dataimproves the reliability and credibility of AI-driven decisions, fostering trust among users.
High-quality data means that the data is accurate, complete, consistent, relevant, and timely for the AI task.
High-quality data can improve the performance and reliability of AI systems, as they have enough and correct information to learn from and make accurate predictions. High-quality data can also improve the trustworthiness of AI-driven decisions, as users can have more confidence and satisfaction in using AIsystems."


NEW QUESTION # 32
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