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 CT-AI Dumps with Practice Exam Questions Answers

Questions: 40 questions With Step-by-Step Explanation

Last Update: Jul 14, 2024

CT-AI Question Includes: Single Choice Questions: 40,

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CT-AI Questions and Answers

Question # 1

Which ONE of the following options does NOT describe a challenge for acquiring test data in ML systems?



Compliance needs require proper care to be taken of input personal data.


Nature of data constantly changes with lime.


Data for the use case is being generated at a fast pace.


Test data being sourced from public sources.

Question # 2

Which ONE of the following options is an example that BEST describes a system with Al-based autonomous functions?



A system that utilizes human beings for all important decisions.


A fully automated manufacturing plant that uses no software.


A system that utilizes a tool like Selenium.


A system that is fully able to respond to its environment.

Question # 3

“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?



A lack of similarity between the training and testing data.


The input data has not been tested for quality prior to use for testing.


A lack of focus on choosing the right functional-performance metrics.


A lack of focus on non-functional requirements testing.

Question # 4

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



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


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


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


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

Question # 5

Which ONE of the following characteristics is the least likely to cause safety related issues for an Al system?







High complexity