SALESFORCE SALESFORCE-AI-ASSOCIATE OVERVIEW OF THE PROBLEMS FACED IN PREPARATION EXAM QUESTIONS

Salesforce Salesforce-AI-Associate Overview of the Problems Faced in Preparation Exam Questions

Salesforce Salesforce-AI-Associate Overview of the Problems Faced in Preparation Exam Questions

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Salesforce Salesforce-AI-Associate Exam Syllabus Topics:

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

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Salesforce Certified AI Associate Exam Sample Questions (Q49-Q54):

NEW QUESTION # 49
What Is a benefit of data quality and transparency as it pertains to bias in generated AI?

  • A. Chances of bias are remove
  • B. Chances of bIas and mitigated
  • C. Chances of bias are aggravated

Answer: B

Explanation:
Explanation
"Data quality and transparency can help mitigate the chances of bias in generative AI. Data quality means that the data is accurate, complete, consistent, relevant, and timely for the AI task. Data quality can help mitigate bias by ensuring that the generative AI model learns from a balanced and representative sample of the target population or domain. Data transparency means that the data sources, methods, and processes are clear and open to inspection and verification. Data transparency can help mitigate bias by allowing users to understand and evaluate the data used or generated by the generative AI model."


NEW QUESTION # 50
Cloud Kicks wants to improve the quality of its AI model's predictions with the use of a large amount of data.
Which data quality element should the company focus on?

  • A. Accuracy
  • B. Volume
  • C. Location

Answer: A

Explanation:
To improve the quality of AI model predictions, Cloud Kicks should focus on the accuracy of the data.
Accurate data ensures that the insights and predictions generated by AI models are reliable and valid. Data accuracy involves correcting errors, filling missing values, and verifying data sources to enhance the quality of information fed into the AI systems. Focusing on data accuracy helps in minimizing prediction errors and enhances the decision-making process based on AI insights. For more details on the importance of data quality in AI models, Salesforce provides extensive guidance in their documentation, which can be found at Data Quality and AI.


NEW QUESTION # 51
A developer is tasked with selecting a suitable dataset for training an AI model in Salesforce to accurately predict current customer behavior.
What Is a crucial factor that the developer should consider during selection?

  • A. Size of the dataset
  • B. Age of the dataset
  • C. Number of variables ipn the dataset

Answer: A

Explanation:
"The size of the dataset is a crucial factor that the developer should consider during selection. The size of the dataset refers to the amount or volume of data available for training an AI model. The size of the dataset can affect thefeasibility and quality of the AI model, as well as the choice of AI techniques and tools. The size of the dataset should be large enough to provide sufficient information for the AI model to learn from and generalize well to new data."


NEW QUESTION # 52
Which action should be taken to develop and implement trusted generated AI with Salesforce's safety guideline in mind?

  • A. Be transparent when AI has created and automatically delivered content.
  • B. Create guardrails that mitigates toxicity and protect PII
  • C. Develop right-sized models to reduce our carbon footprint.

Answer: B

Explanation:
"Creating guardrails that mitigate toxicity and protect PII is an action that should be taken to develop and implement trusted generativeAI with Salesforce's safety guideline in mind. Salesforce's safety guideline is one of the Trusted AI Principles that states that AI systems should be designed and developed with respect for the safety and well-being of humans and the environment. Creatingguardrails means implementing measures or mechanisms that can prevent or limit the potential harm or risk caused by AI systems. For example, creating guardrails can help mitigate toxicity by filtering out inappropriate or offensive content generated by AIsystems. Creating guardrails can also help protect PII by masking or anonymizing personal or sensitive information generated by AI systems."


NEW QUESTION # 53
What is the best method to safeguard customer data privacy?

  • A. Automatically anonymize all customer data.
  • B. Archive customer data on a recurring schedule.
  • C. Track customer data consent preferences.

Answer: C

Explanation:
Explanation
"Tracking customer data consent preferences is the best method to safeguard customer data privacy. Data privacy is the right of individuals to control how their personal data is collected, used, shared, or stored by others. Tracking customer data consent preferences means respecting and honoring the choices and preferences of customers regarding their personal data. Tracking customer data consent preferences can help ensure compliance with data privacy laws and regulations, as well as build trust and loyalty with customers."


NEW QUESTION # 54
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