2022 Valid AIF Exam Updates - 2022 Study Guide
AIF Certification - The Ultimate Guide [Updated 2022]
NEW QUESTION 19
Who was the pioneer of computer programming?
- A. Ada Lovelace.
- B. Dame Wendy Hall.
- C. Sophie Wilson
- D. Karen Spark Jones.
Answer: A
Explanation:
Explanation
https://www.techopedia.com/2/31564/watercooler/ada-lovelace-enchantress-of-numbers
NEW QUESTION 20
What term do computer scientists and economists use to describe how happy an agent is?
- A. Warm.
- B. Return
- C. Index.
- D. Utility.
Answer: D
Explanation:
https://griffinshare.fontbonne.edu/cgi/viewcontent.cgi?article=1008&context=ijds
NEW QUESTION 21
What term do computer scientists and economists use to describe how happy an agent is?
- A. Warm.
- B. Return
- C. Index.
- D. Utility.
Answer: D
Explanation:
Explanation
https://griffinshare.fontbonne.edu/cgi/viewcontent.cgi?article=1008&context=ijds
NEW QUESTION 22
What is defined as a machine that can carry out a complex series of tasks automatically?
- A. An autonomous vehicle.
- B. A production line.
- C. A robot
- D. A computer.
Answer: C
Explanation:
Explanation
https://en.wikipedia.org/wiki/Robot#:~:text=A%20robot%20is%20a%20machine,control%20may%20be%20em
NEW QUESTION 23
The EU and United Nations have made designing for all individuals a core principle. What is this type of
design called?
- A. Core design
- B. Universal design.
- C. Biophilic design.
- D. Utopic design.
Answer: B
Explanation:
Explanation
https://universaldesign.ie/What-is-Universal-Design/
NEW QUESTION 24
How could machine learning make a robot autonomous?
- A. Learn from sensor data and plan to carry out a task.
- B. Use OCR, optical character recognition, to read documents
- C. Use actuators to modify its environment
- D. Use NLP (Natural Language Processing) to listen
Answer: D
Explanation:
Explanation
https://arxiv.org/pdf/1803.10813
NEW QUESTION 25
If Al undertakes routine and monotonous tasks and takes these away from humans, what will humans do?
- A. Higher value work.
- B. Change jobs.
- C. Sabotage the Al.
- D. Leisure activities
Answer: A
NEW QUESTION 26
The Scrum Master is part of which team?
- A. Data preparation team
- B. Agile project team.
- C. Management team
- D. Software development team.
Answer: B
Explanation:
Explanation
https://www.techtarget.com/whatis/definition/scrum-master#:~:text=A%20Scrum%20Master%20is%20a,in%20a
NEW QUESTION 27
Which of the following is an advantage of a machine based system?
- A. Can explain the output of an Al system
- B. Undertakes monotonous tasks reliably and accurately.
- C. Capable of sympathising with humans.
- D. Able to judge ambiguous and unknown situations.
Answer: B
NEW QUESTION 28
Professor David Chalmers described consciousness as having two questions. What were these?
- A. Are only humans conscious and are machines always unconscious?
- B. What is the sub conscious and what is the conscious?
- C. Can we integrate our knowledge to form consciousness and can we simulate consciousness?
- D. An easy one and a hard one.
Answer: C
NEW QUESTION 29
Ensemble learning methods do what with the hypothesis space?
- A. Use stochastic gradient descent to optimise a network.
- B. Extract ergodic solutions.
- C. Select a combination of hypothesis to combine their predictions
- D. Test multiple hypotheses simultaneously.
Answer: C
Explanation:
https://link.springer.com/referenceworkentry/10.1007/978-0-387-73003-5_293#:~:text=Definition,and%20combine%20them%20to%20use.
NEW QUESTION 30
Tensor flow is a typical open source what?
- A. Agent based modelling application
- B. Intelligent robot paradigm.
- C. Cloud based AI 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 31
Para View allows large data sets to be visualised on a parallel computer.
Which of the following is one of the techniques used?
- A. Norm calculation.
- B. Contour plot
- C. Eigen function analysis.
- D. Dashboard.
Answer: B
NEW QUESTION 32
What does Prof David Chalmers describe the hard consciousness problem to be as comples as?
- A. The universe.
- B. Turbulence.
- C. Psychology.
- D. Quantum mechanics.
Answer: C
NEW QUESTION 33
What technique can be adopted when a weak learners hypothesis accuracy is only slightly better than 50%?
- A. Iteration.
- B. Activation.
- C. Boosting.
- D. Over-fitting
Answer: C
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 34
In an Al project the domain expert is the person...
- A. who manages the agile project and writes the technical terms of reference
- B. who measures the trustworthiness of the Al system
- 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: B
NEW QUESTION 35
What does TRL stand for?
- A. Transform Reinforced Learning
- B. Transport Ready Level.
- C. Technology Readiness Level.
- D. Technical Robotic Level.
Answer: C
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 36
How could machine learning make a robot autonomous?
- A. Learn from sensor data and plan to carry out a task.
- B. Use OCR, optical character recognition, to read documents
- C. Use actuators to modify its environment
- D. Use NLP (Natural Language Processing) to listen
Answer: D
Explanation:
https://arxiv.org/pdf/1803.10813
NEW QUESTION 37
Narrow or weak Al can be useful to robots.
Which of the following is an example of narrow Al?
- A. Conscioussimul-ation.
- B. Conscious integration.
- C. NLP - Natural Language Processing.
- D. Artificial General Al.
Answer: C
NEW QUESTION 38
An agent based model is asimul-ationof autonomous agents (individual and collective). What can be used to
learn from the data generated by thesimul-ations?
- A. A spreadsheet
- B. Machine Learning.
- C. Python.
- D. Paraview.
Answer: A
Explanation:
Explanation
https://www.pnas.org/doi/10.1073/pnas.082080899
NEW QUESTION 39
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