CertNexus Certified Artificial Intelligence Practitioner (CAIP) - AIP-210 Exam Practice Test
Which of the following sentences is true about model evaluation and model validation in ML pipelines?
Correct Answer: C
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Which of the following regressions will help when there is the existence of near-linear relationships among the independent variables (collinearity)?
Correct Answer: D
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Which of the following is the definition of accuracy?
Correct Answer: A
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In general, models that perform their tasks:
Correct Answer: A
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Personal data should not be disclosed, made available, or otherwise used for purposes other than specified with which of the following exceptions? (Select two.)
Correct Answer: A,C
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You create a prediction model with 96% accuracy. While the model's true positive rate (TPR) is performing well at 99%, the true negative rate (TNR) is only 50%. Your supervisor tells you that the TNR needs to be higher, even if it decreases the TPR. Upon further inspection, you notice that the vast majority of your data is truly positive.
What method could help address your issue?
What method could help address your issue?
Correct Answer: B
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Your dependent variable data is a proportion. The observed range of your data is 0.01 to 0.99. The instrument used to generate the dependent variable data is known to generate low quality data for values close to 0 and close to 1. A colleague suggests performing a logit-transformation on the data prior to performing a linear regression. Which of the following is a concern with this approach?
Definition of logit-transformation
If p is the proportion: logit(p)=log(p/(l-p))
Definition of logit-transformation
If p is the proportion: logit(p)=log(p/(l-p))
Correct Answer: C
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The following confusion matrix is produced when a classifier is used to predict labels on a test dataset. How precise is the classifier?
Correct Answer: C
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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?
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?
Correct Answer: A
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You and your team need to process large datasets of images as fast as possible for a machine learning task.
The project will also use a modular framework with extensible code and an active developer community.
Which of the following would BEST meet your needs?
The project will also use a modular framework with extensible code and an active developer community.
Which of the following would BEST meet your needs?
Correct Answer: B
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