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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
10 months ago
Yes, AI can process different data types, but quality ensures reliable outcomes.
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Shelton
10 months ago
But doesn't AI have the ability to work with all data types?
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Adolph
10 months ago
I agree, without good data quality, AI results can be unreliable.
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Levi
11 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
10 months ago
C) Without good data quality, AI results can be unreliable.
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Celeste
10 months ago
B) Absolutely, clean data is essential for AI to provide accurate insights.
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Cecil
10 months ago
A) Data quality is required to create accurate AI data insights.
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Janey
11 months ago
I think data quality is necessary for accurate AI insights.
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Jennifer
11 months ago
Yes, AI can process different data types, but quality ensures reliable outcomes.
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Rasheeda
11 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
11 months ago
I hear you, accuracy is key when it comes to data quality.
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Graciela
11 months ago
Data quality is required to create accurate AI data insights.
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Tracie
11 months ago
But doesn't AI have the ability to work with all data types?
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Ammie
12 months ago
I agree, without good data quality, AI results can be unreliable.
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Irma
12 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
12 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
11 months ago
B) Data quality is required to create accurate AI data insights.
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Silvana
11 months ago
A) Data quality is unnecessary because AI can work with all data types.
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Margot
11 months ago
B) Data quality is required to create accurate AI data insights.
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Evelynn
12 months ago
I think data quality is necessary for accurate AI insights.
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