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 CT-AI_(v1.0)_World Dumps with Practice Exam Questions Answers

Questions: 40 questions With Step-by-Step Explanation

Last Update: Dec 2, 2024

CT-AI_(v1.0)_World Question Includes: Single Choice Questions: 40,

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CT-AI_(v1.0)_World Questions and Answers

Question # 1

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?

SELECT ONE OPTION

A.

Only III

B.

I and II

C.

I and III

D.

Only II

Question # 2

A company producing consumable goods wants to identify groups of people with similar tastes for the purpose of targeting different products for each group. You have to choose and apply an appropriate ML type for this problem.

Which ONE of the following options represents the BEST possible solution for this above-mentioned task?

SELECT ONE OPTION

A.

Regression

B.

Association

C.

Clustering

D.

Classification

Question # 3

Which ONE of the following approaches to labelling requires the least time and effort?

SELECT ONE OPTION

A.

Outsourced

B.

Pre-labeled dataset

C.

Internal

D.

Al-Assisted

Question # 4

Which ONE of the following describes a situation of back-to-back testing the LEAST?

SELECT ONE OPTION

A.

Comparison of the results of a current neural network model ML model implemented in platform A (for example Pytorch) with a similar neural network model ML model implemented in platform B (for example Tensorflow), for the same data.

B.

Comparison of the results of a home-grown neural network model ML model with results in a neural network model implemented in a standard implementation (for example Pytorch) for same data

C.

Comparison of the results of a neural network ML model with a current decision tree ML model for the same data.

D.

Comparison of the results of the current neural network ML model on the current data set with a slightly modified data set.

Question # 5

Which ONE of the following statements is a CORRECT adversarial example in the context of machine learning systems that are working on image classifiers.

SELECT ONE OPTION

A.

Black box attacks based on adversarial examples create an exact duplicate model of the original.

B.

These attack examples cause a model to predict the correct class with slightly less accuracy even though they look like the original image.

C.

These attacks can't be prevented by retraining the model with these examples augmented tothe training data.

D.

These examples are model specific and are not likely to cause another model trained on same task to fail.