Question 1

What is the correct definition for the term "AI Component"?

Options :

A : A software licensing and delivery model in which AI and AI development services are centrally hosted

B : The situation when a previously labelled AI system is no longer considered to beAI as technology advances

C : The deliberate use of adversarial examples to cause an ML model to fail

D : A component that provides AI functionality

Answer: D

Question 2

What is the correct definition of the term "interpretability"?

Options :

A :

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

B : An autonomous program which directs its activity towards achieving goals using observations and actions

C : A metric that measures the similarity of data points in different clusters

D : The level of understanding how the underlying AI technology works

Answer: D

Question 3

An ML team asserts that the ML functional performance metrics based on validation data collected as part of training an ML model are sufficient for determining the quality of the system.

Which of the following statements is a valid reason to show that this may be INCORRECT?

Options :

A : Validation data is biased resulting in skewed functional performance measurements

B : The ML functional performance metrics may not work well if the ground truth is not correct

C : Data may need to be transformed prior to training the model, so the functional performance measurements do not reflect the quality of the model

D : The ML functional performance metrics cannot be used for measuring quality as these are tool dependent

Answer: B

Question 4

Limits and tolerances are common in determine the results and performance expectations of AL based systems. The developer needs experts to define the metrics and determine appropriate limits or tolerances.As a developer, which ONE among the following statementsDOES NOT define a factor to consider when admitting expert opinion?

Options :

A : Human experts often do not understand the specifications of the AI systems

B : Experts may not agree with each other

C : Humans are more likely to caveat responses

D : Human experts vary in their levels of competence

Answer: A

Question 5

Input data testing is to ensures that the data used by the system for training and prediction is of the highest quality.Which ONE of the following is NOT an element of input data testing?

Options :

A : ML functional performance criteria

B : Reviews

C : Statistical techniques

D : EDA of the training data

Answer: A

Confidently Practice Online with Free CT-AI Exam Cram

Buying Options: