Valid AIF Exam Dumps Ensure you a HIGH SCORE (2023) [Q17-Q32]

Valid AIF Exam Dumps Ensure you a HIGH SCORE (2023)

Pass AIF Exam with Latest Questions

BCS AIF Exam Syllabus Topics:

Topic	Details
Topic 1	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 2	Recall that Ethical Purpose AI is delivered using Trustworthy AI that is technically robust Recall the general definition of Ethics
Topic 3	Recall which typical, narrow AI capability is useful in ML and AI agents’ functionality The Management, Roles and Responsibilities of humans and machines
Topic 4	Understand that ML is a significant contribution to the growth of Artificial Intelligence Describe how AI is part of ‘Universal Design,’ and ‘The Fourth Industrial Revolution
Topic 5	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
Topic 6	Describe a ‘learning from experience’ Agile approach to projects Describe the type of team members needed for an Agile project
Topic 7	Describe four types of agent: reflex, model-based reflex, goal-based and utility-based Explain the benefits of Artificial Intelligence
Topic 8	Recall that the Human Centric Ethical Purpose Trustworthy AI is continually assessed and monitored Describe the difference between waterfall and agile projects
Topic 9	Applying the benefits of AI - challenges and risks Describe the challenges of Artificial Intelligence
Topic 10	List future directions of humans and machines working together Describe what are Ethics and Trustworthy AI, in particular

 

NEW QUESTION 17
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 18
Human-centric trustworthy Al must be...

• A. financially sustainable.
• B. continually assessed and monitored.
• C. quality assurance certified.
• D. tested by humans.

Answer: B

Explanation:
Explanation
Human-centric trustworthy Al must be continually assessed and monitored in order to ensure that it is behaving in a safe and ethical manner. This includes conducting regular tests and audits to ensure that the Al is functioning as intended, and is not taking any actions or decisions that could potentially harm humans or their environment. 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 19
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. An easy one and a hard one.
• D. Can we integrate our knowledge to form consciousness and can we simulate consciousness?

Answer: A

 

NEW QUESTION 20
Human-centric trustworthy Al must be...

• A. financially sustainable.
• B. tested by humans.
• C. continually assessed and monitored.
• D. quality assurance certified.

Answer: D

 

NEW QUESTION 21
If Al undertakes routine and monotonous tasks and takes these away from humans, what will humans do?

• A. Sabotage the Al.
• B. Higher value work.
• C. Leisure activities
• D. Change jobs.

Answer: B

 

NEW QUESTION 22
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 23
In Machine learning what are a brain's axons called?

• A. Dendrites
• B. Nodes
• C. Edges
• D. Tetrahedra.

Answer: A

 

NEW QUESTION 24
What is one of the MAIN contributions of Al to the rapid development of The Fourth Industrial Revolution?

• A. Automation
• B. Al personal assistants.
• C. Enhanced design.
• D. Big Data

Answer: D

Explanation:
Explanation
https://research.com/careers/what-is-the-fourth-industrial-revolution

 

NEW QUESTION 25
Reflex andModel-based Reflex are two types of what?

• A. Compilers.
• B. Robot
• C. Artificial intelligent agents.
• D. Algorithms.

Answer: C

Explanation:
Explanation
Reflex and Model-based Reflex are two types of Artificial Intelligent Agents. Artificial Intelligent Agents are computer systems designed to act and think in a manner similar to humans, incorporating elements of problem solving, decision-making, communication, and learning. Reflex agents are reactive agents which act based on the current environment and conditions, while Model-based Reflex agents use a model of the environment to make decisions. 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 26
What function is used in a Neural Network?

• A. Activation.
• B. Statistical.
• C. Trigonometric.
• 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 27
An Al agentrelies on its perceptual input.This is called the agent's what?

• A. World
• B. Percept
• C. Position
• 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 28
What does TRL stand for?

• A. Transport Ready Level.
• B. Technology Readiness Level.
• C. Technical Robotic Level.
• D. Transform Reinforced Learning

Answer: B

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 29
What is defined as a machine that can carry out a complex series of tasks automatically?

• A. A computer.
• B. A robot
• C. A production line.
• D. An autonomous vehicle.

Answer: B

Explanation:
https://en.wikipedia.org/wiki/Robot#:~:text=A%20robot%20is%20a%20machine,control%20may%20be%20embedded%20within.

 

NEW QUESTION 30
What does TRL stand for?

• A. Transport Ready Level.
• B. Technology Readiness Level.
• C. Technical Robotic Level.
• D. Transform Reinforced Learning

Answer: B

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-,Technology%20Readiness%20Level%20(TRL),program%20during%20the%20acquisition%20process.

 

NEW QUESTION 31
Splitting data into Training and Test data sets is part of what?

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

Answer: C

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 32
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