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CertNexus Exam AIP-210 Topic 4 Question 36 Discussion

Actual exam question for CertNexus's AIP-210 exam
Question #: 36
Topic #: 4
[All AIP-210 Questions]

A data scientist is tasked to extract business intelligence from primary data captured from the public. Which of the following is the most important aspect that the scientist cannot forget to include?

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Suggested Answer: B

Performance testing is a type of testing that should be performed at the production level before deploying a newly retrained model. Performance testing measures how well the model meets the non-functional requirements, such as speed, scalability, reliability, availability, and resource consumption. Performance testing can help identify any bottlenecks or issues that may affect the user experience or satisfaction with the model. Reference: [Performance Testing Tutorial: What is, Types, Metrics & Example], [Performance Testing for Machine Learning Systems | by David Talby | Towards Data Science]


by Juan at Jan 10, 2025, 10:02 AM

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Azzie
18 days ago
I've got a better question for the data scientist: How do you extract business intelligence from a public that's already done with your shenanigans? Data privacy, please!
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Rozella
4 days ago
Cybersecurity is also important to protect the data from any potential threats.
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Edmond
5 days ago
I agree, data privacy should be the top priority for the data scientist.
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Arthur
7 days ago
Data privacy is crucial when extracting business intelligence from the public.
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Kerry
20 days ago
Cybersecurity? Really? This ain't some spy thriller, it's a data science exam. The correct answer is clearly data privacy, no doubt about it.
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Jackie
25 days ago
Data privacy all the way! Protecting people's personal information should be the top priority. The scientist better not be a data-snooping spy.
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Carin
12 days ago
A) Cyberprotection
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Ernie
26 days ago
Hmm, I'd say data security is the most important. Gotta make sure that juicy data doesn't end up in the wrong hands, you know?
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Latricia
29 days ago
I believe data security is equally important to protect the integrity of the data.
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Gerald
29 days ago
C'mon, it's 2023, data privacy is a no-brainer! The data scientist better not mess this one up or they'll be in hot water.
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Lucina
1 months ago
I agree with Annice, data privacy is crucial when dealing with public data.
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Annice
1 months ago
I think the most important aspect is data privacy.
upvoted 0 times
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