Practice CT-AI Exam Online

Question 1

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

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

“A dataset used to evaluate a trained ML model with the purpose of tuning the model”

A : Validation dataset

B :

Evaluation dataset

C : Training dataset

D : Tuning dataset

Answer: A

Question 3

What is the correction definition for the term “annotation”?

A : A type of bias caused by the ML algorithm

B : A type of specialized hardware designed to accelerate AI applications

C : The activity of identifying objects in images with bounding boxes to provide labelled data for classification.

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

Answer: C

Question 4

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?

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 5

Which ONE of the following statements is NOT true about neural networks?

A : The activation value is calculated by running a formula (the activation function) that receives as input the activation values from all the neurons in the previous layer, the weights assigned to the connections and the bias of each neuron.

B : Running different activation functions can result in different activation values

C : Weights are gradually adjusted during neural network training

D : The activation values are centered around 0 with a range of -2 and +2

Answer: D

Name:	Certified Tester AI Testing (CT-AI)
Exam Code:	CT-AI
Certification:	Certified Tester AI Testing
Vendor:	ISTQB
Total Questions:	220
Last Updated:	Apr 24, 2024

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