ISTQB CT-AI Certified Tester AI Testing Online Training
ISTQB CT-AI Online Training
The questions for CT-AI were last updated at Oct 19,2024.
- Exam Code: CT-AI
- Exam Name: Certified Tester AI Testing
- Certification Provider: ISTQB
- Latest update: Oct 19,2024
Data used for an object detection ML system was found to have been labelled incorrectly in many cases.
Which ONE of the following options is most likely the reason for this problem? SELECT ONE OPTION
- A . Security issues
- B . Accuracy issues
- C . Privacy issues
- D . Bias issues
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 . Natural language processing on textual requirements
- B . Analyzing source code for generating test cases
- C . Machine learning on logs of execution
- D . GUI analysis by computer vision
A software component uses machine learning to recognize the digits from a scan of handwritten numbers.
In the scenario above, which type of Machine Learning (ML) is this an example of? SELECT ONE OPTION
- A . Reinforcement learning
- B . Regression
- C . Classification
- D . Clustering
Max. Score: 2
Al-enabled medical devices are used nowadays for automating certain parts of the medical diagnostic processes. Since these are life-critical process the relevant authorities are considenng bringing about suitable certifications for these Al enabled medical devices. This certification may involve several facets of Al testing (I – V).
I. Autonomy
II. Maintainability
III. Safety
IV. Transparency
V. Side Effects
Which ONE of the following options contains the three MOST required aspects to be satisfied for the above scenario of certification of Al enabled medical devices? SELECT ONE OPTION
- A . Aspects II, III and IV
- B . Aspects I, II, and III
- C . Aspects III, IV, and V
- D . Aspects I, IV, and V
Which ONE of the following options represents a technology MOST TYPICALLY used to implement Al? SELECT ONE OPTION
- A . Search engines
- B . Procedural programming
- C . Case control structures
- D . Genetic algorithms
Which ONE of the following approaches to labelling requires the least time and effort? SELECT ONE OPTION
- A . Outsourced
- B . Pre-labeled dataset
- C . Internal
- D . Al-Assisted
In a certain coffee producing region of Colombia, there have been some severe weather storms, resulting in massive losses in production. This caused a massive drop in stock price of coffee.
Which ONE of the following types of testing SHOULD be performed for a machine learning model for stock-price prediction to detect influence of such phenomenon as above on price of coffee stock. SELECT ONE OPTION
- A . Testing for accuracy
- B . Testing for bias
- C . Testing for concept drift
- D . Testing for security
Which ONE of the following types of coverage SHOULD be used if test cases need to cause each neuron to achieve both positive and negative activation values? SELECT ONE OPTION
- A . Value coverage
- B . Threshold coverage
- C . Sign change coverage
- D . Neuron coverage
Which ONE of the following describes a situation of back-to-back testing the LEAST? SELECT ONE OPTION
- A . Comparison of the results of a current neural network model ML model implemented in platform A (for example Pytorch) with a similar neural network model ML model implemented in platform B (for example Tensorflow), for the same data.
- B . Comparison of the results of a home-grown neural network model ML model with results in a neural network model implemented in a standard implementation (for example Pytorch) for same data
- C . Comparison of the results of a neural network ML model with a current decision tree ML model for the same data.
- D . Comparison of the results of the current neural network ML model on the current data set with a slightly modified data set.
Which ONE of the following options does NOT describe an Al technology related characteristic which differentiates Al test environments from other test environments? SELECT ONE OPTION
- A . Challenges resulting from low accuracy of the models.
- B . The challenge of mimicking undefined scenarios generated due to self-learning
- C . The challenge of providing explainability to the decisions made by the system.
- D . Challenges in the creation of scenarios of human handover for autonomous systems.
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