CertNexus AIP 210
Q: 1
Which of the following can take a question in natural language and return a precise answer to the
question?
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Q: 2
Which of the following is the primary purpose of hyperparameter optimization?
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Q: 3
A change in the relationship between the target variable and input features is
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Q: 4
A dataset can contain a range of values that depict a certain characteristic, such as grades on tests in
a class during the semester. A specific student has so far received the following grades: 76,81, 78, 87,
75, and 72. There is one final test in the semester. What minimum grade would the student need to
achieve on the last test to get an 80% average?
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Q: 5
Which of the following best describes distributed artificial intelligence?
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Q: 6
A product manager is designing an Artificial Intelligence (AI) solution and wants to do so responsibly,
evaluating both positive and negative outcomes.
The team creates a shared taxonomy of potential negative impacts and conducts an assessment
along vectors such as severity, impact, frequency, and likelihood.
Which modeling technique does this team use?
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Q: 7
You are developing a prediction model. Your team indicates they need an algorithm that is fast and
requires low memory and low processing power. Assuming the following algorithms have similar
accuracy on your data, which is most likely to be an ideal choice for the job?
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Q: 8
When should the model be retrained in the ML pipeline?
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Q: 9
Which of the following regressions will help when there is the existence of near-linear relationships
among the independent variables (collinearity)?
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Q: 10
You are building a prediction model to develop a tool that can diagnose a particular disease so that
individuals with the disease can receive treatment. The treatment is cheap and has no side effects.
Patients with the disease who don't receive treatment have a high risk of mortality.
It is of primary importance that your diagnostic tool has which of the following?
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