CT-AI試験無料問題集（84題）「ISTQB Certified Tester AI Testing 認定」

出題：1

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. The challenge of providing explainability to the decisions made by the system.

B. Challenges resulting from low accuracy of the models.

C. Challenges in the creation of scenarios of human handover for autonomous systems.

D. The challenge of mimicking undefined scenarios generated due to self-learning

正解：C 解答を投票する

解説: (GoShiken メンバーにのみ表示されます)

出題：2

Which of the following approaches would help overcome testing challenges associated with probabilistic and non-deterministic AI-based systems?

A. Run the test several times to generate a statistically valid test result to ensure that an appropriate number of answers are accurate.

B. Run the test several times to ensure that the AI always returns the same correct test result.

C. Decompose the system test into multiple data ingestion tests to determine if the AI system is getting precise and accurate input data.

D. Decompose the system test into multiple data ingestion tests to determine if the AI system is getting a sufficient volume of input data.

正解：A 解答を投票する

解説: (GoShiken メンバーにのみ表示されます)

出題：3

"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 be behaving 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 unknown nature and insufficient specification of the operating environment might have caused the poor performance.

B. There was an algorithmic bias in the Al system.

C. The difficulty of defining criteria for improvement before the model can be accepted.

D. The fast pace of change did not allow sufficient time for testing.

正解：C 解答を投票する

解説: (GoShiken メンバーにのみ表示されます)

出題：4

A wildlife conservation group would like to use a neural network to classify images of different animals. The algorithm is going to be used on a social media platform to automatically pick out pictures of the chosen animal of the month. This month's animal is set to be a wolf. The test teamhas already observed that the algorithm could classify a picture of a dog as being a wolf because of the similar characteristics between dogs and wolves. To handle such instances, the team is planning to train the model with additional images of wolves and dogs so that the model is able to better differentiate between the two.
What test method should you use to verify that the model has improved after the additional training?

A. Adversarial testing to verify that no incorrect images have been used in the training.

B. Pairwise testing using combinatorics to look at a long list of photo parameters.

C. Metamorphic testing because the application domain is not clearly understood at this point.

D. Back-to-back testing using the version of the model before training and the new version of the model after being trained with additional images.

正解：D 解答を投票する

解説: (GoShiken メンバーにのみ表示されます)

出題：5

You have been developing test automation for an e-commerce system. One of the problems you are seeing is that object recognition in the GUI is having frequent failures. You have determined this is because the developers are changing the identifiers when they make code updates.
How could AI help make the automation more reliable?

A. It could modify the automation code to ignore unrecognizable objects to avoid failures.

B. It could dynamically name the objects, altering the source code, so the object names will match the object names used in the automation.

C. It could generate a model that will anticipate developer changes and pre-alter the test automation code accordingly.

D. It could identify the objects multiple ways and then determine the most commonly used and stable identification for each object.

正解：D 解答を投票する

出題：6

Arihant Meditation is a startup using Al to aid people in deeper and better meditation based on analysis of various factors such as time and duration of the meditation, pulse and blood pressure, EEG patters etc. among others. Their model accuracy and other functional performance parameters have not yet reached their desired level.
Which ONE of the following factors is NOT a factor affecting the ML functional performance?
SELECT ONE OPTION

A. The number of classes

B. Biased data

C. The quality of the labeling

D. The data pipeline

正解：A 解答を投票する

解説: (GoShiken メンバーにのみ表示されます)

出題：7

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. Accuracy issues

B. Bias issues

C. Privacy issues

D. Security issues

正解：A 解答を投票する

解説: (GoShiken メンバーにのみ表示されます)

出題：8

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. Validation data - test data

B. Training data * test data

C. Training data - validation data - test data

D. Training data - validation data

正解：C 解答を投票する

解説: (GoShiken メンバーにのみ表示されます)

CT-AI試験無料問題集「ISTQB Certified Tester AI Testing 認定」