ARE YOU READY TO PROVE YOUR TECHNICAL KNOWLEDGE AND EXPERTISE WITH THE SALESFORCE SALESFORCE-AI-ASSOCIATE CERTIFICATION EXAM?

Are you ready to prove your technical knowledge and expertise with the Salesforce Salesforce-AI-Associate certification exam?

Are you ready to prove your technical knowledge and expertise with the Salesforce Salesforce-AI-Associate certification exam?

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Salesforce Certified AI Associate Exam Sample Questions (Q58-Q63):

NEW QUESTION # 58
In the context of Salesforce's Trusted AI Principles what does the principle of Empowerment primarily aim to achieve?

  • A. Empower users to contribute to the growing body of knowledge of leading AI research.
  • B. Empower users to off all skill level to build AI application with clicks, not code.
  • C. Empower users to solve challenging technical problems using neural networks.

Answer: B

Explanation:
"The principle of Empowerment primarily aims to achieve empowering users of all skill levels to build AI applications with clicks, not code. Empowerment is one of the Trusted AI Principles that states that AI systems should be designed and developed with respect for the empowerment and education of humans.
Empowering users means enabling users to access, use, and benefit from AI systems regardless of their technical expertise or background. For example, empowering users means providing tools and platforms that allow users to build AI applications with clicks, not code, such as Einstein Prediction Builder or Einstein Discovery."


NEW QUESTION # 59
What is a benefit of a diverse, balanced, and large dataset?

  • A. Training time
  • B. Data privacy
  • C. Model accuracy

Answer: C

Explanation:
Explanation
"Model accuracy is a benefit of a diverse, balanced, and large dataset. A diverse dataset can capture a variety of features and patterns that are relevant for the AI task. A balanced dataset can avoid overfitting or underfitting the model to a specific subset of data. A large dataset can provide enough information for the model to learn from and generalize well to new data."


NEW QUESTION # 60
What is an implication of user consent in regard to AI data privacy?

  • A. AI ensures complete data privacy by automatically obtaining user consent.
  • B. AI infringes on privacy when user consent is not obtained.
  • C. AI operates Independently of user privacy and consent.

Answer: B

Explanation:
"AI infringes on privacy when user consent is not obtained. User consent is the permission or agreement given by a user to allow their personal data to be collected, used, shared, or stored byothers. User consent is an important aspect of data privacy, which is the right of individuals to control how their personal data is handled by others. AI infringes on privacy when user consent is not obtained because it violates the user's rights and preferences regarding their personal data."


NEW QUESTION # 61
Cloud Kicks uses Einstein to generate predictions out is not seeing accurate results?
What to a potential mason for this?

  • A. Too much data
  • B. Poor data quality
  • C. The wrongproduct

Answer: B

Explanation:
"Poor data quality is a potential reason for not seeing accurate results from an AI model. Poor data quality means that the data is inaccurate, incomplete, inconsistent, irrelevant, or outdated for the AI task. Poor dataquality can affect the performance and reliability of AI models, as they may not have enough or correct information to learn from or make accurate predictions."


NEW QUESTION # 62
Which best describes the different between predictive AI and generative AI?

  • A. Predictive AI and generative have the same capabilities differ in the type of input theyreceive: predictive AI receives raw data whereas generation AI receives natural language.
  • B. Predictive AI uses machine learning to classes or predict output from its input data whereas generative AI does not use machine learning to generate its output
  • C. Predictive new and original output for a given input.

Answer: C

Explanation:
"The difference between predictive AI and generative AI is that predictive AI analyzes existing data to make predictions or recommendations based on patterns or trends, while generative AI creates new content based on existing data or inputs. Predictive AI is a type of AI that uses machine learning techniques to learn from existing data and make predictions or recommendations based on the data. For example, predictive AI can be used to forecast sales, revenue, or demand based on historical data and trends. Generative AI is a type of AI that uses machine learning techniques to generate novel content such as images, text, music, or video based on existing data or inputs. For example, generative AI can be used to create realistic faces, write summaries, compose songs, or produce videos."


NEW QUESTION # 63
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