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BCS AIF Exam Syllabus Topics:

TopicDetails
Topic 1
  • List future directions of humans and machines working together
  • Describe what are Ethics and Trustworthy AI, in particular
Topic 2
  • Applying the benefits of AI - challenges and risks
  • Describe the challenges of Artificial Intelligence
Topic 3
  • Recall that the Human Centric Ethical Purpose Trustworthy AI is continually assessed and monitored
  • Describe the difference between waterfall and agile projects
Topic 4
  • Describe four types of agent: reflex, model-based reflex, goal-based and utility-based
  • Explain the benefits of Artificial Intelligence
Topic 5
  • Describe how we learn from data – functionality, software and hardware
  • Identify the relationship of AI agents with Machine Learning (ML)
Topic 6
  • Demonstrate understanding of the risks of AI project
  • Ethical and Sustainable Human and Artificial Intelligence
Topic 7
  • List common open source machine learning functionality, software and hardware
  • Relate intelligent robotics to intelligent agents
Topic 8
  • Identify a typical funding source for AI projects and relate to the NASA Technology Readiness Levels (TRLs)
  • Describe a modern approach to Human logical levels of thinking using Robert Dilt’s Model
Topic 9
  • Demonstrate understanding of the AI intelligent agent description
  • Starting AI how to build a Machine Learning Toolbox - Theory and Practice
Topic 10
  • Describe the three fundamental areas of sustainability and the United Nation’s seventeen sustainability goals
  • General examples of the limitations of AI systems compared to human systems

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BCS Foundation Certificate In Artificial Intelligence Sample Questions (Q34-Q39):

NEW QUESTION # 34
Splitting data into Training and Test data sets is part of what?

  • A. Machine learning post processing.
  • B. Batch learning.
  • C. High performance computing strategy.
  • D. Machine learning data preparation.

Answer: D

Explanation:
Explanation
Splitting data into training and test data sets is an important step in the machine learning data preparation process. This process involves splitting the data into subsets, usually in a 70:30 ratio, to create a training set and a test set. The training set is used to train the machine learning model, while the test set is used to evaluate the model's performance. This process allows for the model to be tested and evaluated on data that it has not seen before, in order to ensure that it is accurate and able to generalize to new data. References: BCS Foundation Certificate In Artificial Intelligence Study Guide, https://bcs.org/certifications/foundation-certificates/artificial-intelligence/


NEW QUESTION # 35
Sustainability focuses on which three core areas?

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

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 # 36
What function is used in a Neural Network?

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

Answer: A

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%20function%20in%20a,a%20layer%20of%20the%20network.


NEW QUESTION # 37
An Al agentrelies on its perceptual input.This is called the agent's what?

  • A. Position
  • B. Percept
  • C. World
  • D. Environment

Answer: B

Explanation:
Explanation
* Performance Measure of Agent It is the criteria, which determines how successful an agent is.
* Behavior of Agent It is the action that agent performs after any given sequence of percepts.
* Percept It is agent's perceptual inputs at a given instance.
* Percept Sequence It is the history of all that an agent has perceived till date.
* Agent Function It is a map from the precept sequence to an action.
Agent Terminology
https://www.tutorialspoint.com/artificial_intelligence/artificial_intelligence_agents_and_environments.htm


NEW QUESTION # 38
Which of the following is an example of fitting a curve to a set of data?

  • A. Backward propagation.
  • B. Bayesian network.
  • C. Python.
  • D. Least squares regression.

Answer: D


NEW QUESTION # 39
......

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