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Download BCS Foundation Certificate In Artificial Intelligence Exam Dumps

NEW QUESTION 37
What does TRL stand for?

• A. Transform Reinforced Learning
• B. Transport Ready Level.
• C. Technical Robotic Level.
• D. Technology Readiness Level.

Answer: D

Explanation:
Technology Readiness Level (TRL) Technology Readiness Levels (TRL) are a method of estimating the technology maturity of Critical Technology Elements (CTE) of a program during the acquisition process.
https://acqnotes.com/acqnote/tasks/technology-readiness-level#:~:text=Technology%20Development-,Technology%20Readiness%20Level%20(TRL),program%20during%20the%20acquisition%20process.

NEW QUESTION 38
What term do computer scientists and economists use to describe how happy an agent is?

• A. Return
• B. Utility.
• C. Index.
• D. Warm.

Answer: B

Explanation:
https://griffinshare.fontbonne.edu/cgi/viewcontent.cgi?article=1008&context=ijds

NEW QUESTION 39
Sustainability focuses on which three core areas?

• A. Social, Entrepreneurial and Environmental.
• B. Social, Economic and Entrepreneurial.
• C. Social, Economic and Environmental.
• D. Scientific, Environmental and Economic.

Answer: C

Explanation:
Explanation
The term sustainability is broadly used to indicate programs, initiatives and actions aimed at the preservation
of a particular resource. However, it actually refers to four distinct areas: human, social, economic and
environmental - known as the four pillars of sustainability.
https://www.futurelearn.com/info/courses/sustainable-business/0/steps/78337#:~:text=However%2C%20it%20ac

NEW QUESTION 40
Para View allows large data sets to be visualised on a parallel computer.
Which of the following is one of the techniques used?

• A. Contour plot
• B. Norm calculation.
• C. Dashboard.
• D. Eigen function analysis.

Answer: A

NEW QUESTION 41
What function is used in a Neural Network?

• A. Trigonometric.
• B. Statistical.
• C. Activation.
• D. Linear.

Answer: C

Explanation:
Explanation
Activation Functions
An activation function in a neural network defines how the weighted sum of the input is transformed into an output from a node or nodes in a layer of the network.
https://machinelearningmastery.com/choose-an-activation-function-for-deep-learning/#:~:text=An%20activation An activation function is a mathematical function used in a neural network to determine the output of a neuron. Activation functions are used to transform the inputs into an output signal and can range from simple linear functions to complex non-linear functions. Activation functions are an important part of neural networks and help the network learn patterns and generalize data. Types of activation functions include sigmoid, ReLU, tanh, and softmax. References: BCS Foundation Certificate In Artificial Intelligence Study Guide, https://bcs.org/certifications/foundation-certificates/artificial-intelligence/

NEW QUESTION 42
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