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BCS Foundation Certificate In Artificial Intelligence Sample Questions (Q37-Q42):
NEW QUESTION # 37
How could machine learningmake a robot autonomous?
- A. Learn from sensor data and plan to carry out a task.
- B. Use actuators to modify its environment
- C. Use NLP (Natural Language Processing) to listen
- D. Use OCR, optical character recognition, to read documents
Answer: A
Explanation:
Explanation
Machine learning can be used to make robots autonomous by allowing them to learn from sensor data and plan how to carry out a task. This involves using algorithms to analyze data from sensors and use this data to make decisions and take actions. By using machine learning, robots can learn from their environment and become more autonomous. References:
[1] BCS Foundation Certificate In Artificial Intelligence Study Guide, "Robotics", p.98. [2] APMG-International.com, "Foundations of Artificial Intelligence" [3] EXIN.com, "Foundations of Artificial Intelligence"
NEW QUESTION # 38
What does TRL stand for?
- A. Transform Reinforced Learning
- B. Transport Ready Level.
- C. Technical Robotic Level.
- D. Technology Readiness Level.
Answer: D
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 # 39
Who was the pioneer of computer programming?
- A. Dame Wendy Hall.
- B. Sophie Wilson
- C. Ada Lovelace.
- D. Karen Spark Jones.
Answer: C
Explanation:
https://www.techopedia.com/2/31564/watercooler/ada-lovelace-enchantress-of-numbers
NEW QUESTION # 40
Splitting data into Training and Test data sets is part of what?
- A. Machine learning data preparation.
- B. Batch learning.
- C. Machine learning post processing.
- D. High performance computing strategy.
Answer: A
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 # 41
A vector in vector calculus is a quantity that has magnitude and direction.
What is a vector in computer programming?
- A. An array with onedimension.
- B. A two-dimensional array of scalars.
- C. A constant
- D. An array of complex numbers
Answer: A
Explanation:
Explanation
In computer programming, a vector is a data structure that contains a collection of elements that are all of the same type. Each element in the vector has an associated index, which can be used to access and modify the element at that index. Vectors are commonly used to store collections of numerical values (e.g., integers or floating-point numbers) or strings, but they can also be used to store any type of data.
References: [1] BCS Foundation Certificate In Artificial Intelligence Study Guide, Page number 36 [2] APMG International, "What is a Vector in Computer Programming?", https://apmg-international.com/en/blog/what-is-a-vector-in-computer-programming/ [3] EXIN, "What is a Vector in Computer Programming?", https://www.exin.com/blog/what-is-a-vector-in-computer-programming/
NEW QUESTION # 42
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