Online Access Free CT-AI_v1.0_World Exam Questions

ln the near future, technology will have evolved, and Al will be able to learn multiple tasks by itself without needing to be retrained, allowing it to operate even in new environments. The cognitive abilities of Al are similar to a child of 1-2 years.' In the above quote, which ONE of the following options is the correct name of this type of Al?
SELECT ONE OPTION

• A.General Al
• B.Narrow Al
• C.Super Al
• D.Technological singularity

Pairwise testing can be used in the context of self-driving cars for controlling an explosion in the number of combinations of parameters.
Which ONE of the following options is LEAST likely to be a reason for this incredible growth of parameters?
SELECT ONE OPTION

• A.Different Road Types
• B.Different weather conditions
• C.Different features like ADAS, Lane Change Assistance etc.
• D.ML model metrics to evaluate the functional performance

"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?
SELECT ONE OPTION

• A.A lack of focus on non-functional requirements testing.
• B.A lack of similarity between the training and testing data.
• C.A lack of focus on choosing the right functional-performance metrics.
• D.The input data has not been tested for quality prior to use for testing.

Which ONE of the following tests is MOST likely to describe a useful test to help detect different kinds of biases in ML pipeline?
SELECT ONE OPTION

• A.Testing the data pipeline for any sources for algorithmic bias.
• B.Testing the distribution shift in the training data for inappropriate bias.
• C.Check the input test data for potential sample bias.
• D.Test the model during model evaluation for data bias.

Written requirements are given in text documents, which ONE of the following options is the BEST way to generate test cases from these requirements?
SELECT ONE OPTION

• A.Machine learning on logs of execution
• B.Analyzing source code for generating test cases
• C.GUI analysis by computer vision
• D.Natural language processing on textual requirements