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ISQI ISTQB Certified Tester AI Testing (v1.0) Sample Questions:
1. "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 similarity between the training and testing data.
B) A lack of focus on non-functional requirements testing.
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.
2. Which ONE of the following statements correctly describes the importance of flexibility for Al systems?
SELECT ONE OPTION
A) Al systems require changing of operational environments; therefore, flexibility is required.
B) Al systems are inherently flexible.
C) Self-learning systems are expected to deal with new situations without explicitly having to program for it.
D) Flexible Al systems allow for easier modification of the system as a whole.
3. Which ONE of the following hardware is MOST suitable for implementing Al when using ML?
SELECT ONE OPTION
A) 64-bit CPUs.
B) Hardware supporting high precision floating point operations.
C) High powered CPUs.
D) Hardware supporting fast matrix multiplication.
4. 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 expert system bias.
D) This is an example of hyperparameter bias.
Solutions:
Question # 1 Answer: A | Question # 2 Answer: D | Question # 3 Answer: D | Question # 4 Answer: B |
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