Download ISQI : CT-AI_v1.0_World Questions & Answers as PDF & Test Software
Updated: Jun 04, 2026
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ISQI ISTQB Certified Tester AI Testing (v1.0) Sample Questions:
1. Which ONE of the following combinations of Training, Validation, Testing data is used during the process of learning/creating the model?
SELECT ONE OPTION
A) Training data - validation data - test data
B) Training data - validation data
C) Training data * test data
D) Validation data - test data
2. "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) The input data has not been tested for quality prior to use for testing.
B) A lack of similarity between the training and testing data.
C) A lack of focus on choosing the right functional-performance metrics.
D) A lack of focus on non-functional requirements testing.
3. Written requirements are given in text documents, which ONE of the following options is the BEST way to generate test cases from these requirements?
SELECT ONE OPTION
A) Analyzing source code for generating test cases
B) GUI analysis by computer vision
C) Natural language processing on textual requirements
D) Machine learning on logs of execution
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) There was an algorithmic bias in the Al system.
B) The fast pace of change did not allow sufficient time for testing.
C) The difficulty of defining criteria for improvement before the model can be accepted.
D) The unknown nature and insufficient specification of the operating environment might have caused the poor performance.
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: B | Question # 3 Answer: C | Question # 4 Answer: C |
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