“BioSearch†is creating an Al model used for predicting cancer occurrence via examining X-Ray images. The accuracy of the model in isolation has been found to be good. However, the users of the model started complaining of the poor quality of results, especially inability to detect real cancer cases, when put to practice in the diagnosis lab, leading to stopping of the usage of the model.
A testing expert was called in to find the deficiencies in the test planning which led to the above scenario.
Which ONE of the following options would you expect to MOST likely be the reason to be discovered by the test expert?
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Which ONE of the following options is the MOST APPROPRIATE stage of the ML workflow to set model and algorithm hyperparameters?
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Which ONE of the following options is an example that BEST describes a system with Al-based autonomous functions?
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Which ONE of the following options BEST DESCRIBES clustering?
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Which ONE of the following options does NOT describe a challenge for acquiring test data in ML systems?
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Which ONE of the following tests is MOST likely to describe a useful test to help detect different kinds of biases in ML pipeline?
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Which ONE of the following activities is MOST relevant when addressing the scenario where you have more than the required amount of data available for the training?
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A system was developed for screening the X-rays of patients for potential malignancy detection (skin cancer). A workflow system has been developed to screen multiple cancers by using several individually trained ML models chained together in the workflow.
Testing the pipeline could involve multiple kind of tests (I - III):
I.Pairwise testing of combinations
II.Testing each individual model for accuracy
III.A/B testing of different sequences of models
Which ONE of the following options contains the kinds of tests that would be MOST APPROPRIATE to include in the strategy for optimal detection?
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Which ONE of the following describes a situation of back-to-back testing the LEAST?
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