Question 1

Given the following descriptions:

I. Model performance is checked using validation data

II. The origin of test data used to test the model is identified

III. The tuned model is made ready for its target hardware

IV. Test data are used to ensure the agreed ML functional performance criteria are met

V. The model is created from source code

VI. The critical data features are identified

Which of the following options BEST matches the descriptions with the activities in the ML workflow?

Options :

A : V - Build & Compile Model / II - Prepare the Data / I - Evaluate the Model

B : III - Build & Compile Model / VI - Prepare the Data / I - Evaluate the Model

C : III - Build & Compile Model / II - Prepare the Data / IV - Evaluate the Model

D : V - Build & Compile Model / VI - Prepare the Data / IV - Evaluate the Model

Answer: A

Question 2

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 3

A company producing consumable goods wants to identify groups of people with similar tastes for the purpose

of targeting different products for each group. You have to choose and apply an appropriate ML type for this

problem.

Which ONE of the following options represents the BEST possible solution for this above-mentioned task?

SELECT ONE OPTION

Options :

A : Regression

B : Association

C : Clustering

D : Classification

Answer: C

Question 4

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 5

There are several reasons for wanting XAI(Explainable AI), including the following EXCEPT:

Options :

A : Meeting regulatory standards or policy requirements

B : Giving users confidence in the system

C : Boosting bias

D : Improving system design

Answer: C