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

1. An image classification system is being trained for classifying faces of humans. The distribution of the data is
70% ethnicity A and 30% for ethnicities B, C and D. Based ONLY on the above information, which of the following options BEST describes the situation of this image classification system?
SELECT ONE OPTION

A) This is an example of algorithmic bias.
B) This is an example of sample bias.
C) This is an example of hyperparameter bias.
D) This is an example of expert system bias.

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

A) Compliance needs require proper care to be taken of input personal data.
B) Test data being sourced from public sources.
C) Nature of data constantly changes with lime.
D) Data for the use case is being generated at a fast pace.

3. Which ONE of the following options describes a scenario of A/B testing the LEAST?
SELECT ONE OPTION

A) A comparison of two different offers in a recommendation system to decide on the more effective offer for same users.
B) A comparison of two different websites for the same company to observe from a user acceptance perspective.
C) A comparison of the performance of two different ML implementations on the same input data.
D) A comparison of the performance of an ML system on two different input datasets.

4. 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) Evaluating the model
B) Data testing
C) Deploying the model
D) Tuning the model

Solutions: