Question 1

Which ONE of the following is not typical content for the documentation of an AI component?

Options :

A :

License details

B : Hardware requirements

C : Architectural and design information

D : Primary and secondary use cases

Answer: C

Question 2

Insufficient specifications of operational environment is a critical challenge when testing self-learning systems. The tendency to have environmental inputs outside the set scope poses a danger to the testing process.

Which of the following statements isMOSTlikely be specifying a solution to Insufficient specifications of operational environment?

Options :

A : Install constraints for behavioral modifications and responses to the external factors in the operational environment

B : Limiting the impact from external environmental factors

C : Using a wider and full scope of possible changes in the operational environment to which the system is expected to respond

D : Focusing on the results from the inputs with the speculated range

Answer: C

Question 3

Which of the following best describes one of the most popular AI Development Frameworks that is TensorFlow?

Options :

A : An open-source ML framework is based on data flow graphs for scalable machine learning, provided by Google.

B : An open-source API of high level which is written in Python language and can run on top of the CNTK.

C : It is an open-source machine ML library that uses the Python programming language.

D : An open-source deep learning framework used by Amazon Web services.

Answer: A

Question 4

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

Options :

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

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

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

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

Answer: C

Question 5

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

Options :

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