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Salesforce Certified AI Associate Practice Test 1

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What is a possible outcome of poor data quality?

AI models maintain accuracy but have slower response times.
AI models maintain accuracy but have slower response times.
Biases in data can be inadvertently learned and amplified by AI systems.
Biases in data can be inadvertently learned and amplified by AI systems.
AI predictions become more focused and less robust.
AI predictions become more focused and less robust.
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Suggested answer: B
Explanation:

''A possible outcome of poor data quality is that biases in data can be inadvertently learned and amplified by AI systems. Poor data quality means that the data is inaccurate, incomplete, inconsistent, irrelevant, or outdated for the AI task. Poor data quality can affect the performance and reliability of AI systems, as they may not have enough or correct information to learn from or make accurate predictions. Poor data quality can also introduce or exacerbate biases in data, such as human bias, societal bias, or confirmation bias, which can affect the fairness and ethics of AI systems.''

asked 23/09/2024
Mohammed Meddah
42 questions