Free Microsoft Azure AI Fundamentals Artificial Intelligence Questions and Answers — Questions and Answers

Question 1: What does "AI" mean in its entirety?

Advanced Intelligence
Artificially Intelligence
Artificial Intelligence (Correct answer)
Artificially Intelligent

Correct answer: Artificial Intelligence

AI is an acronym that stands for Artificial Intelligence. This term refers to the simulation of human intelligence processes by machines, especially computer systems. These processes include learning, reasoning, problem-solving, perception, and language understanding.

Question 2: How can artificial intelligence be defined?

Artificial Intelligence is a field that aims to improve the security
Artificial Intelligence is a field that aims to mine the data
Artificial Intelligence is a field that aims to make humans more intelligent
Artificial Intelligence is a field that aims to develop intelligent machines (Correct answer)

Correct answer: Artificial Intelligence is a field that aims to develop intelligent machines

Artificial Intelligence (AI) is a field of computer science dedicated to creating machines that can perform tasks typically requiring human intelligence. The core aim is to develop intelligent agents that can perceive their environment, reason, learn, and act autonomously to achieve specific goals. This definition encompasses various subfields like machine learning, natural language processing, and computer vision.

Question 3: The person who created artificial intelligence is who?

John McCarthy (Correct answer)
Geoffrey Hinton
Jürgen Schmidhuber
Andrew Ng

Correct answer: John McCarthy

John McCarthy is widely recognized as the 'father of Artificial Intelligence.' He coined the term 'Artificial Intelligence' in 1955 and organized the Dartmouth Conference in 1956, which is considered the seminal event for the field of AI. His pioneering work laid the groundwork for much of AI research and development.

Question 4: Which one of the following is an artificial intelligence subfield?

Network Design
Machine Learning (Correct answer)
Cyber forensics
Full-Stack Developer

Correct answer: Machine Learning

Machine Learning (ML) is a prominent subfield of Artificial Intelligence. It focuses on developing algorithms that allow computer systems to learn from data, identify patterns, and make predictions or decisions without being explicitly programmed for every task. Other key subfields of AI include deep learning, natural language processing, computer vision, and robotics.

Question 5: What is artificial intelligence's purpose?

To extract scientific causes
To solve real-world problems
To solve artificial problems
To explain various sorts of intelligence (Correct answer)

Correct answer: To explain various sorts of intelligence

While Artificial Intelligence aims to solve real-world problems, its fundamental scientific purpose also involves understanding and explaining various forms of intelligence, both natural and artificial. By attempting to replicate intelligent behavior in machines, AI research helps us gain deeper insights into the mechanisms of intelligence itself. This includes exploring how learning, reasoning, and perception work.

Question 6: Which of the following uses artificial intelligence?

Easy to create a website
It helps to deploy applications on the cloud
It helps to exploit vulnerabilities to secure the firm
Language understanding and problem-solving (Text analytics and NLP) (Correct answer)

Correct answer: Language understanding and problem-solving (Text analytics and NLP)

Artificial Intelligence is extensively used in language understanding and problem-solving, particularly through technologies like Text Analytics and Natural Language Processing (NLP). These AI applications enable machines to process, interpret, and generate human language, facilitating tasks such as sentiment analysis, entity extraction, machine translation, and conversational AI. The other options describe general IT tasks or cybersecurity, not direct applications of AI.

Question 7: Which of the following describes an AI component?

Puzzling
Designing
Training
Learning (Correct answer)

Correct answer: Learning

Learning is a fundamental component and capability of Artificial Intelligence. AI systems, especially those employing machine learning, are designed to acquire knowledge, adapt to new data, and improve their performance over time without explicit programming. This ability to learn from experience is central to creating intelligent machines.

Question 8: What does a "Agent" of artificial intelligence do?

Mapping of environment sequence to an action
Mapping of precept sequence to an action (Correct answer)
Work without the direct interference of the people
Mapping of goal sequence to an action

Correct answer: Mapping of precept sequence to an action

In Artificial Intelligence, an 'agent' is anything that can perceive its environment through sensors and act upon that environment through actuators. The core function of an AI agent is to map a sequence of precepts (sensory inputs or observations) to an appropriate action. This mapping allows the agent to make decisions and behave intelligently in its environment to achieve its goals.

Question 9: Which of the following is not a typical artificial intelligence programming language?

PROLOG
LISP
Perl (Correct answer)
Java

Correct answer: Perl

While Perl is a versatile scripting language, it is not typically considered a primary or traditional programming language for core Artificial Intelligence development. Historically, LISP and PROLOG were foundational AI languages due to their symbolic processing capabilities. Modern AI development commonly uses languages like Python (due to its extensive libraries), Java, and C++ for performance-critical applications.

Question 10: What is the name of the Daniel Bobrow-created artificial intelligence system?

system known as SIMD
program known as SHRDLU
system known as STUDENT (Correct answer)
program known as BACON

Correct answer: system known as STUDENT

The artificial intelligence system created by Daniel Bobrow in 1964 was known as STUDENT. This pioneering program was designed to understand and solve algebra word problems, demonstrating early capabilities in natural language processing and symbolic reasoning within the field of AI.

Question 11: What is the system's purpose, student?

system which can read and solve algebra word problems (Correct answer)
system which can solve algebra word problems but not read
program that can read algebra word problems only
None of the above

Correct answer: system which can read and solve algebra word problems

The STUDENT system, developed by Daniel Bobrow, had the specific purpose of reading and solving algebra word problems. It showcased early AI capabilities by parsing natural language input, identifying the mathematical relationships described, and then solving the resulting algebraic equations. This was a significant step in combining natural language understanding with problem-solving.

Question 12: Which of the following doesn't include artificial intelligence in some way?

DBMS (Correct answer)
LIDAR
Chatbots
Face recognition system

Correct answer: DBMS

A Database Management System (DBMS) is software used for managing databases, including data storage, retrieval, and manipulation. While modern DBMS might incorporate AI for optimization or advanced analytics, a core DBMS itself is not inherently an AI system. In contrast, LIDAR, Chatbots, and Face recognition systems are technologies whose core functionalities are heavily reliant on or are direct applications of Artificial Intelligence.

Question 13: Which of the following devices needs human input yet is capable of deciphering the results on its own?

AI system (Correct answer)
Agents
Sensor
Actuators

Correct answer: AI system

An AI system is designed to take human input (or other forms of data), process it using its learned models or programmed logic, and then interpret or 'decipher' the results autonomously. Unlike simple sensors or actuators, an AI system possesses the intelligence to analyze complex data and produce meaningful outputs without requiring constant human interpretation of every step in the process.

Question 14: Artificial intelligence offers a Large number of informed search techniques.

1
2
3
4 (Correct answer)

Correct answer: 4

Artificial Intelligence offers several well-known informed search techniques, which use heuristic functions to guide the search process more efficiently than uninformed methods. Common examples include Greedy Best-First Search, A* Search, Recursive Best-First Search, and Iterative Deepening A* (IDA*). These four distinct algorithms are widely studied and applied in AI for pathfinding and problem-solving.

Question 15: There are _______ proposition symbols in total.

1 proposition symbols
2 proposition symbols (Correct answer)
3 proposition symbols
No proposition symbols

Correct answer: 2 proposition symbols

In propositional logic, a proposition symbol (or atomic proposition) represents a basic statement that can be either true or false. Therefore, any given proposition symbol can take on one of two possible truth values: True or False. The number '2' refers to these two fundamental truth values that define the state of any proposition in classical logic.

Question 16: Which of the following describes artificial intelligence approaches?

Weak approach
Strong approach
Applied approach
All of the mentioned (Correct answer)

Correct answer: All of the mentioned

Artificial Intelligence research and development encompass various approaches. The 'Weak AI' approach focuses on building systems that act intelligently without necessarily possessing genuine consciousness. The 'Strong AI' approach aims to create systems with true human-like intelligence. The 'Applied AI' approach concentrates on developing AI systems to solve specific, practical problems. Therefore, all these describe valid perspectives or categories within AI.

Free Microsoft Azure AI Fundamentals Artificial Intelligence Questions and Answers

What does "AI" mean in its entirety?