Online Access Free CT-AI_v1.0_World Practice Test

Arihant Meditation is a startup using Al to aid people in deeper and better meditation based on analysis of various factors such as time and duration of the meditation, pulse and blood pressure, EEG patters etc. among others. Their model accuracy and other functional performance parameters have not yet reached their desired level.
Which ONE of the following factors is NOT a factor affecting the ML functional performance?
SELECT ONE OPTION

• A.The quality of the labeling
• B.Biased data
• C.The data pipeline
• D.The number of classes

"Splendid Healthcare" has started developing a cancer detection system based on ML. The type of cancer they plan on detecting has 2% prevalence rate in the population of a particular geography. It is required that the model performs well for both normal and cancer patients.
Which ONE of the following combinations requires MAXIMIZATION?
SELECT ONE OPTION

• A.Maximize specificity number of classes
• B.Maximize precision and accuracy
• C.Maximize recall and precision
• D.Maximize accuracy and recall

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

Which ONE of the following options is the MOST APPROPRIATE stage of the ML workflow to set model and algorithm hyperparameters?
SELECT ONE OPTION

• A.Data testing
• B.Evaluating the model
• C.Deploying the model
• D.Tuning the model

A ML engineer is trying to determine the correctness of the new open-source implementation *X", of a supervised regression algorithm implementation. R-Square is one of the functional performance metrics used to determine the quality of the model.
Which ONE of the following would be an APPROPRIATE strategy to achieve this goal?
SELECT ONE OPTION

• A.Train various models by changing the order of input features and verify that the R-Square score of these models vary significantly.
• B.Compare the R-Square score of the model obtained using two different implementations that utilize two different programming languages while using the same algorithm and the same training and testing data.
• C.Drop 10% of the rows randomly and create another model and compare the R-Square scores of both the models.
• D.Add 10% of the rows randomly and create another model and compare the R-Square scores of both the model.