Artificial Intelligence: basics and everyday applications MCQ - Practice Questions with Answers

The note asks candidates to connect each application with the function it performs, not to memorise brand names. Search systems rank pages and show relevant results. OCR converts scanned or photographed text into machine-readable text. Voice assistants use speech recognition and language processing to understand requests. Recommendation systems suggest videos, products, courses or songs from behaviour and similarity. Fixed alarms, salary formulas and simple reminders are ordinary software or automation examples, not the best matches for these AI functions.

The study note repeatedly stresses that AI should assist humans rather than hide responsibility. Sensitive areas such as health, finance, education evaluation, policing, welfare benefits and recruitment affect rights, money or safety, so outputs need verification, audit trails and accountable officers. The reason is also correct: weak data, biased design or use, unusual inputs and missing context can produce unreliable results. Because these limits create the need for oversight, the reason properly explains the assertion.

The core distinction is how the output method is formed. Ordinary software follows instructions already written by the programmer, such as a calculator applying a mathematical rule or a payroll program applying formulas. Automation repeats defined steps with less human effort. Machine learning uses examples and data to learn patterns, then stores that learning in a model used on new input. The note gives spam detection, fraud detection and recommendation systems as examples where patterns are learned from data.

At CET level, AI should be understood as computer systems that perform intelligent-seeming tasks under defined conditions. The note connects AI with perception, learning, reasoning, prediction, language understanding and decision support. It also warns that AI is not a human mind and not merely hardware or internet access. The safest exam definition therefore links AI to data-based pattern recognition and useful computer-supported decisions, while remembering that outputs can still be wrong, incomplete or biased.

The note links each application to a clear AI-related function rather than to a brand name. OCR reads text from a scanned or photographed image and converts it into editable or machine-readable text. A spam filter separates unwanted or suspicious messages. A voice assistant uses speech recognition and language processing to understand a spoken request. A recommendation system studies user behaviour and item similarity to suggest videos, products, courses, news or songs. This style of matching is common in CET computer-knowledge questions.