Free ISTQB CT-AI Exam Questions

Become ISTQB Certified with updated CT-AI exam questions and correct answers

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Total 255 Questions | Updated On: Nov 18, 2024

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Question 1

Which of the following options would MOST likely be a reason for poor labeling of data?

A : anslation errors

B : ufficient data

C : gorithm chosen for the ML model

D : nthetic data

Answer: A

Question 2

“Training an ML model from input data using an unlabeled dataset"

A : ue positive (TP)

B : inforcement learning

C : upervised learning

D : pervised learning

Answer: C

Question 3

What is the correct definition of the term “inappropriate bias"?

A : type of bias that causes a system to produce results that lead to adverse effects for a particular group

B : activity of determining the optimal hyperparameters based on particular goals

C : information provided by direct observation and measurement that is known to be real or true

D : parameter used to either control the training of an ML model or to set the configuration of an ML model

Answer: A

Question 4

What is the correct definition for the term "autonomous system"?

A : type of bias caused by a person favoring the recommendations of an automated decision-making system over other sources. Synonym: complacency bias

B : activity of creating new data points based on an existing dataset.

C : ystem capable of working without human intervention for sustained periods.

D : type of specialized hardware designed to accelerate AI applications

Answer: C

Question 5

Biases introduce the chance of getting unwanted output from ML systems. Testing for biases allows the identification of errors and causal defects that can further help review datasets and remove unwanted biases.

Which ONE among the following options is not a bias in AI based systems?

A : gorithmic bias

B : mple bias

C : tonomous bias

D : appropriate bias

Answer: C

Page: 1 / 51

Total 255 Questions | Updated On: Nov 18, 2024

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