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Salesforce Exam Salesforce AI Associate Topic 1 Question 13 Discussion

Actual exam question for Salesforce's Salesforce AI Associate exam
Question #: 13
Topic #: 1
[All Salesforce AI Associate Questions]

What is the rile of data quality in achieving AI business Objectives?

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Suggested Answer: B

''Data quality is required to create accurate AI data insights. Data quality is the degree to which data is accurate, complete, consistent, relevant, and timely for the AI task. Data quality can affect the performance and reliability of AI systems, as they depend on the quality of the data they use to learn from and make predictions. Data quality can also affect the accuracy and validity of AI data insights, as they reflect the quality of the data used or generated by AI systems.''


by James at Mar 07, 2024, 08:48 AM

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Bok
6 months ago
Yes, AI can process different data types, but quality ensures reliable outcomes.
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Shelton
6 months ago
But doesn't AI have the ability to work with all data types?
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Adolph
6 months ago
I agree, without good data quality, AI results can be unreliable.
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Levi
6 months ago
Option B is spot on. High-quality data is the foundation for any successful AI implementation. Gotta get that data squeaky clean!
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Ben
5 months ago
C) Without good data quality, AI results can be unreliable.
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Celeste
6 months ago
B) Absolutely, clean data is essential for AI to provide accurate insights.
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Cecil
6 months ago
A) Data quality is required to create accurate AI data insights.
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Janey
6 months ago
I think data quality is necessary for accurate AI insights.
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Jennifer
6 months ago
Yes, AI can process different data types, but quality ensures reliable outcomes.
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Rasheeda
7 months ago
Maintaining AI data storage limits? That's the least of my concerns. I'm more worried about my storage limits after that big cheese dip incident last weekend.
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Xuan
6 months ago
I hear you, accuracy is key when it comes to data quality.
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Graciela
6 months ago
Data quality is required to create accurate AI data insights.
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Tracie
7 months ago
But doesn't AI have the ability to work with all data types?
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Ammie
7 months ago
I agree, without good data quality, AI results can be unreliable.
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Irma
7 months ago
I don't know, I think AI can just magic its way through any data, no matter how messy. Who needs data quality when you have AI, am I right?
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Rashida
7 months ago
Data quality is definitely required for accurate AI insights. Without clean, reliable data, AI models will be garbage in, garbage out.
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Altha
6 months ago
B) Data quality is required to create accurate AI data insights.
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Silvana
6 months ago
A) Data quality is unnecessary because AI can work with all data types.
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Margot
6 months ago
B) Data quality is required to create accurate AI data insights.
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Evelynn
7 months ago
I think data quality is necessary for accurate AI insights.
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