다운로드 ISTQB : CT-AI 질문 & 답 PDF & Test Software

재응시 비용을 생각하면 첫 응시에서의 철저한 준비가 무엇보다 중요합니다. PassTIP의 CT-AI 모의고사 162문항으로 ISTQB Certified Tester AI Testing 시험을 미리 경험해 보시기 바랍니다.

ISTQB CT-AI 시험 개요:

ISTQB CT-AI 시험 요강 주제:

CT-AI 시험, 수험생이 가장 많이 묻는 질문

최신 ISTQB AI Testing CT-AI 무료샘플문제

문제 #1

Which of the following aspects is a challenge when handling test data for an AI-based system?

A. Video frame speed or aspect ratio
B. Personal data or confidential data
C. Output data or intermediate data
D. Data frameworks or machine learning frameworks

문제 #2

An airline has created an ML model to project fuel requirements for future flights. The model imports weather data such as wind speeds and temperatures, calculates flight routes based on historical routings from air traffic control, and estimates loads from average passenger and baggage weights. The model performed within an acceptable standard for the airline throughout the summer but as winter set in, the load weights became less accurate. After some exploratory data analysis, it became apparent that luggage weights were higher in the winter than in summer.
Which of the following statements BEST describes the problem and how it could have been prevented?

A. The model suffers from a lack of transparency and therefore should be regularly tested to ensure that any progressive errors are detected soon enough for the problem to be mitigated
B. The model suffers from corruption and therefore should be reloaded into the computer system being used, preferably with a method of version control to prevent further changes
C. The model suffers from drift and therefore should be regularly tested to ensure that any occurrences of drift are detected soon enough for the problem to be mitigated
D. The model suffers from drift and therefore the performance standard should be eased until a new model with more transparency can be developed

문제 #3

Which ONE of the following statements is a CORRECT adversarial example in the context of machine learning systems that are working on image classifiers.
SELECT ONE OPTION

A. Black box attacks based on adversarial examples create an exact duplicate model of the original.
B. These examples are model specific and are not likely to cause another model trained on same task to fail.
C. These attacks can't be prevented by retraining the model with these examples augmented to the training data.
D. These attack examples cause a model to predict the correct class with slightly less accuracy even though they look like the original image.

문제 #4

Which statement regarding flexibility and adaptability of AI-based systems is correct?
Choose ONE option (1 out of 4)

A. Flexibility is considered to be the ease with which the system can be reprogrammed to a changed operating condition.
B. Adaptability and flexibility are important when the system needs to change its behavior and determine the change on its own.
C. Adaptability is considered to be the ability of the system to be used in unspecified situations.
D. Self-learning AI-based systems are classified according to whether they are adaptable only or flexible only.

문제 #5

Which of the following is an example of overfitting?

A. The model is not able to generalize to accommodate new types of data
B. The model is too simplistic for the data
C. The model discards data it considers to be noise or outliers
D. The model is missing relationships between the inputs and outputs

질문과 대답: