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BCS AIF Exam
BCS Foundation Certificate In Artificial Intelligence (Page 3 )

Updated On: 1-Feb-2026
Page 2 of 9
PDF with 40 Questions

A human manipulates what using their intelligence?

  1. Env
    ironment
  2. Space
  3. Objective
  4. Mission

Answer(s): A

Explanation:

Humans use their intelligence to manipulate their environment in order to achieve their objectives and complete their mission. This can involve a wide range of activities, such as building tools, constructing shelters, and creating strategies to solve problems.


Reference:

BCS Foundation Certificate In Artificial Intelligence Study Guide, https://bcs.org/ai/certificate/ and APMG International, https://www.apmg-international.com/qualifications/artificial-intelligence-foundation- certificate.



Which of the following is an example of fitting a curve to a set of data?

  1. Python.
  2. Least squares regression.
  3. Bayesian network.
  4. Backward propagation.

Answer(s): B

Explanation:

Least Squares Regression is a statistical technique used for fitting a curve to a set of data. It involves minimizing the sum of the squares of the differences between the observed data and the fitted curve. This is done by finding the line of best fit, which is the line that minimizes the sum of the squared residuals. The line of best fit is determined by finding the parameters that give the minimum sum of the squared residuals. This technique is often used in data science and machine learning to create models that can be used to make predictions.


Reference:

BCS Foundation Certificate In Artificial Intelligence Study Guide, https://bcs.org/certifications/foundation-certificates/artificial- intelligence/



Narrow or weak Al can be useful to robots.
Which of the following is an example of narrow Al?

  1. Conscious simul-ation.
  2. Artificial General Al.
  3. Conscious integration.
  4. NLP - Natural Language Processing.

Answer(s): D

Explanation:

NLP - Natural Language Processing is an example of narrow AI. It is a type of AI system that is able to understand, interpret, and generate natural language. NLP has become increasingly popular over the past few years, as it has been used to create applications such as chatbots, virtual assistants, and search engines. NLP systems are able to learn language and the context in which it is used, and they are able to understand the nuances of language and its different meanings.


Reference:

BCS Foundation Certificate In Artificial Intelligence Study Guide, https://bcs.org/certifications/foundation-certificates/artificial-intelligence/



Splitting data into Training and Test data sets is part of what?

  1. Machine learning data preparation.
  2. Batch learning.
  3. Machine learning post processing.
  4. High performance computing strategy.

Answer(s): A

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.


Reference:

BCS Foundation Certificate In Artificial Intelligence Study Guide, https://bcs.org/certifications/foundation-certificates/artificial-intelligence/



What function is used in a Neural Network?

  1. Linear.
  2. Activation.
  3. Statistical.
  4. Trigonometric.

Answer(s): B

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. 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.


Reference:

BCS Foundation Certificate In Artificial Intelligence Study Guide, https://bcs.org/certifications/foundation- certificates/artificial-intelligence/



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