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Salesforce Exam Salesforce AI Associate Topic 3 Question 15 Discussion

Actual exam question for Salesforce's Salesforce AI Associate exam
Question #: 15
Topic #: 3
[All Salesforce AI Associate Questions]

What should organizations do to ensure data quality for their AI initiatives?

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Suggested Answer: A

''Natural language processing is the field of AI that is most suitable for this scenario. Natural language processing (NLP) is a branch of AI that enables computers to understand and generate natural language, such as speech or text. NLP can be used to create conversational interfaces that can interact with users using natural language, such as chatbots. Chatbots can help automate and streamline customer service processes by providing answers, suggestions, or actions based on the user's intent and context.''


by Kaitlyn at Apr 10, 2024, 09:06 AM

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Alyce
1 months ago
Option B - let the AI do all the work? Sounds great, except when the AI decides to train itself on cat memes and your entire project goes to the dogs.
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Alline
2 days ago
A) Definitely, garbage in, garbage out!
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Katina
6 days ago
B) Yeah, relying solely on AI algorithms can be risky. It's important to start with good data.
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Silva
16 days ago
A) Collect and curate high-quality data from reliable sources.
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Mozelle
2 months ago
Prioritize model fine-tuning over data quality? That's like trying to build a house on quicksand. Gotta get the foundation right first!
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Caitlin
10 days ago
A) Collect and curate high-quality data from reliable sources.
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Paz
12 days ago
Prioritize model fine-tuning over data quality? That's like trying to build a house on quicksand. Gotta get the foundation right first!
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Ahmed
16 days ago
B) Rely on AI algorithms to automatically handle data quality issues.
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Kayleigh
1 months ago
A) Collect and curate high-quality data from reliable sources.
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Colton
2 months ago
Relying on AI to fix data quality issues? Hmm, that's like asking a fox to guard the henhouse. I'll take option A, thank you very much.
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Hubert
2 months ago
Collect and curate high-quality data from reliable sources? Duh, that's a no-brainer! Who wants their AI to be trained on junk data?
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Krissy
21 days ago
C) Prioritize model fine-tuning over data quality improvements.
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Jutta
22 days ago
Exactly, garbage in, garbage out!
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Alaine
1 months ago
A) Collect and curate high-quality data from reliable sources.
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Kati
2 months ago
A) Collecting high-quality data is crucial for accurate AI outcomes.
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Temeka
2 months ago
C) Prioritize model fine-tuning over data quality improvements.
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Blair
2 months ago
A) Collect and curate high-quality data from reliable sources.
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