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ISQI ISTQB Certified Tester AI Testing (v1.0) Sample Questions:

1. "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 recall and precision
B) Maximize precision and accuracy
C) Maximize specificity number of classes
D) Maximize accuracy and recall

2. Which ONE of the following activities is MOST relevant when addressing the scenario where you have more than the required amount of data available for the training?
SELECT ONE OPTION

A) Feature selection
B) Data augmentation
C) Data sampling
D) Data labeling

3. Which ONE of the following hardware is MOST suitable for implementing Al when using ML?
SELECT ONE OPTION

A) Hardware supporting high precision floating point operations.
B) High powered CPUs.
C) Hardware supporting fast matrix multiplication.
D) 64-bit CPUs.

4. "AllerEgo" is a product that uses sell-learning to predict the behavior of a pilot under combat situation for a variety of terrains and enemy aircraft formations. Post training the model was exposed to the real- world data and the model was found to bebehaving poorly. A lot of data quality tests had been performed on the data to bring it into a shape fit for training and testing.
Which ONE of the following options is least likely to describes the possible reason for the fall in the performance, especially when considering the self-learning nature of the Al system?
SELECT ONE OPTION

A) The difficulty of defining criteria for improvement before the model can be accepted.
B) The unknown nature and insufficient specification of the operating environment might have caused the poor performance.
C) There was an algorithmic bias in the Al system.
D) The fast pace of change did not allow sufficient time for testing.

Solutions: