[Nov 05, 2022] BCS AIF Real Exam Questions and Answers FREE
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NEW QUESTION 23
Human-centric trustworthy Al must be...
- A. tested by humans.
- B. continually assessed and monitored.
- C. quality assurance certified.
- D. financially sustainable.
Answer: C
NEW QUESTION 24
In the 1800's the development of statistics led to___________theorem and is used in probabilistic inference. (Select the missing word.)
- A. Bayes'
- B. Boltzmann's
- C. The central limit
- D. Kolmogorov's
Answer: D
NEW QUESTION 25
Reflex and Model-based Reflex are two types of what?
- A. Algorithms.
- B. Compilers.
- C. Robot
- D. Artificial intelligent agents.
Answer: D
NEW QUESTION 26
What does TRL stand for?
- A. Technology Readiness Level.
- B. Transport Ready Level.
- C. Technical Robotic Level.
- D. Transform Reinforced Learning
Answer: A
Explanation:
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-,Technolog
NEW QUESTION 27
An Al agent relies on its perceptual input. This is called the agent's what?
- A. Environment
- B. World
- C. Position
- D. Percept
Answer: D
Explanation:
Agent Terminology
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.
https://www.tutorialspoint.com/artificial_intelligence/artificial_intelligence_agents_and_environments.htm
NEW QUESTION 28
If Al undertakes routine and monotonous tasks and takes these away from humans, what will humans do?
- A. Higher value work.
- B. Leisure activities
- C. Change jobs.
- D. Sabotage the Al.
Answer: C
NEW QUESTION 29
Narrow or weak Al can be useful to robots.
Which of the following is an example of narrow Al?
- A. NLP - Natural Language Processing.
- B. Conscious integration.
- C. Artificial General Al.
- D. Conscioussimul-ation.
Answer: A
NEW QUESTION 30
In the 1800's the development of statistics led to___________theorem and is used in probabilistic inference.
(Select the missing word.)
- A. Bayes'
- B. Boltzmann's
- C. The central limit
- D. Kolmogorov's
Answer: D
NEW QUESTION 31
Tensor flow is a typical open source what?
- A. Intelligent robot paradigm.
- B. Cloud based AI application.
- C. Agent based modelling application
- D. Machine learning library.
Answer: D
Explanation:
Explanation
TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible
ecosystem of tools, libraries and community resources that lets researchers push the state-of-the-art in ML and
developers easily build and deploy ML powered applications.
https://www.tensorflow.org/#:~:text=TensorFlow%20is%20an%20end%2Dto,and%20deploy%20ML%20power
NEW QUESTION 32
The Scrum Master is part of which team?
- A. Management team
- B. Software development team.
- C. Agile project team.
- D. Data preparation team
Answer: C
Explanation:
Explanation
https://www.techtarget.com/whatis/definition/scrum-master#:~:text=A%20Scrum%20Master%20is%20a,in%20a
NEW QUESTION 33
In an Al project the domain expert is the person...
- A. who measures the trustworthiness of the Al system
- B. who manages the agile project and writes the technical terms of reference
- C. with technical and managerial oversight of the business plan
- D. with special knowledge or skills in the area of endeavour and defines what is fit for purpose'
Answer: A
NEW QUESTION 34
What technique can be adopted when a weak learners hypothesis accuracy is only slightly better than 50%?
- A. Over-fitting
- B. Iteration.
- C. Activation.
- D. Boosting.
Answer: D
Explanation:
Explanation
* Weak Learner: Colloquially, a model that performs slightly better than a naive model.
More formally, the notion has been generalized to multi-class classification and has a different meaning
beyond better than 50 percent accuracy.
For binary classification, it is well known that the exact requirement for weak learners is to be better than
random guess. [...] Notice that requiring base learners to be better than random guess is too weak for
multi-class problems, yet requiring better than 50% accuracy is too stringent.
- Page 46, Ensemble Methods, 2012.
It is based on formal computational learning theory that proposes a class of learning methods that possess
weakly learnability, meaning that they perform better than random guessing. Weak learnability is proposed as
a simplification of the more desirable strong learnability, where a learnable achieved arbitrary good
classification accuracy.
A weaker model of learnability, called weak learnability, drops the requirement that the learner be able to
achieve arbitrarily high accuracy; a weak learning algorithm needs only output an hypothesis that performs
slightly better (by an inverse polynomial) than random guessing.
- The Strength of Weak Learnability, 1990.
It is a useful concept as it is often used to describe the capabilities of contributing members of ensemble
learning algorithms. For example, sometimes members of a bootstrap aggregation are referred to as weak
learners as opposed to strong, at least in the colloquial meaning of the term.
More specifically, weak learners are the basis for the boosting class of ensemble learning algorithms.
The term boosting refers to a family of algorithms that are able to convert weak learners to strong learners.
https://machinelearningmastery.com/strong-learners-vs-weak-learners-for-ensemble-learning/
NEW QUESTION 35
From the Ell's ethics guidelines for Al, what does 'The Principle of Autonomy,' mean?
- A. Al agents will behave as humans.
- B. Al systems will be human-centric
- C. Robots will have freewill.
- D. Al systems will preserve human agency.
Answer: B
NEW QUESTION 36
In an Al project the domain expert is the person...
- A. who measures the trustworthiness of the Al system
- B. with technical and managerial oversight of the business plan
- C. with special knowledge or skills in the area of endeavour and defines what is fit for purpose'
- D. whomanages the agile project and writes the technical terms of reference
Answer: A
NEW QUESTION 37
Splitting data into Training and Test data sets is part of what?
- A. High performance computing strategy.
- B. Machine learning data preparation.
- C. Batch learning.
- D. Machine learning post processing.
Answer: B
NEW QUESTION 38
Professor David Chalmers described consciousness as having two questions. What were these?
- A. An easy one and a hard one.
- B. Can we integrate our knowledge to form consciousness and can we simulate consciousness?
- C. What is the sub conscious and what is the conscious?
- D. Are only humans conscious and are machines always unconscious?
Answer: B
NEW QUESTION 39
How could machine learning make a robot autonomous?
- A. Use OCR, optical character recognition, to read documents
- B. Use actuators to modify its environment
- C. Learn from sensor data and plan to carry out a task.
- D. Use NLP (Natural Language Processing) to listen
Answer: D
Explanation:
Explanation
https://arxiv.org/pdf/1803.10813
NEW QUESTION 40
Tensor flow is a typical open source what?
- A. Intelligent robot paradigm.
- B. Cloud based AI application.
- C. Agent based modelling application
- D. Machine learning library.
Answer: D
Explanation:
TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML powered applications.
https://www.tensorflow.org/#:~:text=TensorFlow%20is%20an%20end%2Dto,and%20deploy%20ML%20powered%20applications.
NEW QUESTION 41
Which of the following is an example of fitting a curve to a set of data?
- A. Backward propagation.
- B. Least squares regression.
- C. Python.
- D. Bayesian network.
Answer: B
NEW QUESTION 42
An Al agentrelies on its perceptual input.This is called the agent's what?
- A. Environment
- B. World
- C. Position
- D. Percept
Answer: D
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 43
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