Achive your Success with Latest BCS AIF Exam [May 14, 2023]
The AIF Exam Test For Brief Preparation
The BCS AIF certification exam covers a range of topics, including machine learning, natural language processing, robotics, and cognitive computing. The exam is based on a set of learning objectives that define the core competencies required for success in this field, and it is designed to evaluate an individual's ability to apply these concepts to real-world scenarios. The exam consists of multiple-choice questions and is available in both paper-based and computer-based formats.
NEW QUESTION # 19
In an Al project the domain expert is the person...
- A. with special knowledge or skills in the area of endeavour and defines what is fit for purpose'
- B. with technical and managerial oversight of the business plan
- C. who measures the trustworthiness of the Al system
- D. who manages the agile project and writes the technical terms of reference
Answer: C
NEW QUESTION # 20
The EU's Ethical Guidelines use what to demonstrate trustworthy Al?
- A. A quality assurance plan.
- B. UN's sustainability goals.
- C. A human-centric value system.
- D. Customer feedback.
Answer: C
Explanation:
Explanation
The European Union's Ethical Guidelines for Trustworthy AI use a human-centric value system to demonstrate that Artificial Intelligence (AI) is trustworthy. This value system is based on human rights, autonomy, safety, privacy, transparency, accountability and fairness. The guidelines also state that AI should be designed, developed and used in a manner that respects these values. References:
* https://ec.europa.eu/digital-single-market/en/news/ethical-guidelines-trustworthy-ai
* BCS Foundation Certificate In Artificial Intelligence Study Guide (2019), A.I & Ethics, Chapter 5.
NEW QUESTION # 21
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. Machine Learning.
- B. Python.
- C. A spreadsheet
- D. Paraview.
Answer: C
Explanation:
Explanation
https://www.pnas.org/doi/10.1073/pnas.082080899
NEW QUESTION # 22
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:
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 # 23
Reflex and Model-based Reflex are two types of what?
- A. Artificial intelligent agents.
- B. Compilers.
- C. Robot
- D. Algorithms.
Answer: A
NEW QUESTION # 24
An intelligent robot uses Al to do what?
- A. Sense, plan and move.
- B. Perceive, plan and act.
- C. Sense, plan and act
- D. Plan, act and speak.
Answer: B
Explanation:
Explanation
An intelligent robot uses Artificial Intelligence (AI) to perceive its environment, plan its actions and then act on them. This is sometimes referred to as the "sense, plan, act" cycle, and is at the heart of what makes a robot intelligent. By using AI, robots can sense their environment, plan their actions accordingly and then act on them in order to complete their tasks.
For more information, please refer to the BCS Foundation Certificate in Artificial Intelligence Study Guide: https://www.bcs.org/category/18076/bcs-foundation-certificate-in-artificial-intelligence-study-guide.
NEW QUESTION # 25
From the Ell's ethics guidelines for Al, what does 'The Principle of Autonomy,' mean?
- A. Al systems will be human-centric
- B. Al systems will preserve human agency.
- C. Robots will have freewill.
- D. Al agents will behave as humans.
Answer: A
NEW QUESTION # 26
A human manipulates what using their intelligence?
- A. Objective
- B. Environment
- C. Mission
- D. Space
Answer: B
Explanation:
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. References: 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.
NEW QUESTION # 27
If Al undertakes routine and monotonous tasks and takes these away from humans, what will humans do?
- A. Sabotage the Al.
- B. Leisure activities
- C. Higher value work.
- D. Change jobs.
Answer: C
NEW QUESTION # 28
A vector in vector calculus is a quantity that has magnitude and direction.
What is a vector in computer programming?
- A. A constant
- B. A two-dimensional array of scalars.
- C. An array of complex numbers
- D. An array with one dimension.
Answer: B
NEW QUESTION # 29
Ensemble learning methods do what with the hypothesis space?
- A. Test multiple hypotheses simultaneously.
- B. Use stochastic gradient descent to optimise a network.
- C. Select a combination of hypothesis to combine their predictions
- D. Extract ergodic solutions.
Answer: C
Explanation:
Explanation
https://link.springer.com/referenceworkentry/10.1007/978-0-387-73003-5_293#:~:text=Definition,and%20comb
NEW QUESTION # 30
Professor David Chalmers described consciousness as having two questions. What were these?
- A. What is the sub conscious and what is the conscious?
- B. Can we integrate our knowledge to form consciousness and can we simulate consciousness?
- C. Are only humans conscious and are machines always unconscious?
- D. An easy one and a hard one.
Answer: A
Explanation:
Explanation
Professor David Chalmers described consciousness as having two questions: "What is it like to be conscious?" and "Can machines be conscious?". The first question, "What is it like to be conscious?", is an attempt to understand what it is like to experience the subjective aspects of consciousness, such as feeling, emotion, and perception. The second question, "Can machines be conscious?", is an attempt to understand whether or not machines can have the same kinds of subjective experiences as humans. For more information, please see the BCS Foundation Certificate In Artificial Intelligence Study Guide or the resources listed above.
NEW QUESTION # 31
In the 1800's the development of statistics led to___________theorem and is used in probabilistic inference. (Select the missing word.)
- A. Boltzmann's
- B. The central limit
- C. Bayes'
- D. Kolmogorov's
Answer: D
NEW QUESTION # 32
With a large dataset, limited computational resources or frequent new data to learn from, we can adopt what type of machine learning?
- A. Big Data learning.
- B. Batch learning.
- C. Patchwork learning.
- D. Online learning.
Answer: B
Explanation:
NEW QUESTION # 33
Which of the following is an advantage of a machine based system?
- A. Capable of sympathising with humans.
- B. Can explain the output of an Al system
- C. Able to judge ambiguous and unknown situations.
- D. Undertakes monotonous tasks reliably and accurately.
Answer: D
NEW QUESTION # 34
A human manipulates what using their intelligence?
- A. Objective
- B. Mission
- C. Space
- D. Environment
Answer: C
NEW QUESTION # 35
Splitting data into Training and Test data sets is part of what?
- A. Batch learning.
- B. High performance computing strategy.
- C. Machine learning post processing.
- 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 # 36
......
The BCS AIF certification exam is highly respected in the industry, and many organizations recognize it as a valuable asset when hiring for AI-related roles. The certification is also recognized by academic institutions, making it an excellent option for students who want to gain a competitive edge in the job market.
The BCS AIF certification exam is an excellent way for individuals to demonstrate their expertise in the field of AI and enhance their career opportunities. With AI becoming increasingly important in a wide range of industries, from healthcare and finance to retail and transportation, possessing this certification can help individuals stand out from the crowd and demonstrate their commitment to professional development. Overall, the BCS AIF certification exam is a valuable credential for anyone who wants to establish themselves as a skilled practitioner or leader in the field of AI.
Revolutionary Guide To Exam BCS Dumps: https://www.testkingpdf.com/AIF-testking-pdf-torrent.html
Pass AIF Exam Latest Practice Questions: https://drive.google.com/open?id=1nI416wzsYuUj95pBNWik-udKia4AAgZ0
