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ISQI ISTQB Certified Tester AI Testing (v1.0) Sample Questions:
1. 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) Add 10% of the rows randomly and create another model and compare the R-Square scores of both the model.
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) Train various models by changing the order of input features and verify that the R-Square score of these models vary significantly.
D) Drop 10% of the rows randomly and create another model and compare the R-Square scores of both the models.
2. 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) ML model metrics to evaluate the functional performance
B) Different Road Types
C) Different features like ADAS, Lane Change Assistance etc.
D) Different weather conditions
3. Which ONE of the following statements correctly describes the importance of flexibility for Al systems?
SELECT ONE OPTION
A) Self-learning systems are expected to deal with new situations without explicitly having to program for it.
B) Al systems are inherently flexible.
C) Flexible Al systems allow for easier modification of the system as a whole.
D) Al systems require changing of operational environments; therefore, flexibility is required.
4. 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
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: A | Question # 3 Answer: C | Question # 4 Answer: C |






