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Chapter 2 Emerging Trends — Online MCQ Test

INFORMATICS PRACTICES · Grade 11 · CBSE(NCERT)

Practice Chapter 2 Emerging Trends with a free chapter-wise online MCQ test for CBSE(NCERT) Grade 11 INFORMATICS PRACTICES. This chapter covers: Explores modern technologies including Artificial Intelligence (AI) Machine Learning Big Data Internet of Things (IoT) Cloud Computing Cloud Services Robotics and their application.... AI-generated questions from basic to board-exam level, with instant results and explanations.

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Chapter 2 Emerging Trends — Important Questions & Answers (FAQ)

Frequently asked questions from CBSE(NCERT) Grade 11 INFORMATICS PRACTICES — Chapter 2 Emerging Trends, with answers and explanations. These are sample questions; the exam has its own separate question set.

What does AI stand for in emerging technologies?
  • A. Automated Internet
  • B. Artificial Intelligence ✓
  • C. Advanced Interface
  • D. Applied Informatics
Answer: B. Artificial Intelligence
AI stands for Artificial Intelligence. It refers to machines or systems that can perform tasks that normally require human intelligence.
Which of the following is a common application of machine learning?
  • A. Calculating marks manually
  • B. Spam email detection ✓
  • C. Typing documents
  • D. Printing files
Answer: B. Spam email detection
Machine learning is widely used in spam email detection because the system learns patterns from data to classify messages.
IoT stands for:
  • A. Internet of Tasks
  • B. Interconnected Online Technology
  • C. Internet of Things ✓
  • D. Integrated Object Transfer
Answer: C. Internet of Things
IoT means Internet of Things. It refers to devices connected to the internet that can collect and exchange data.
Which of the following is an example of cloud computing?
  • A. Saving files only on a pen drive
  • B. Using online storage to access files from any device ✓
  • C. Installing software without internet
  • D. Repairing a computer remotely
Answer: B. Using online storage to access files from any device
Cloud computing allows users to store and access data or applications over the internet from different devices.
Machine learning is a branch of:
  • A. Computer hardware
  • B. Artificial intelligence ✓
  • C. Networking
  • D. Database management only
Answer: B. Artificial intelligence
Machine learning is a subset of AI in which systems learn from data and improve their performance over time.
Which of the following is most suitable for storing and managing large amounts of data from different sources?
  • A. Big Data analytics ✓
  • B. Simple calculator
  • C. Text editor
  • D. Spreadsheet only for two rows
Answer: A. Big Data analytics
Big Data analytics is used to store, process, and analyze large and complex datasets from multiple sources.
A hospital uses connected devices to continuously monitor a patient's heart rate and send alerts to doctors. What technology is being used?
  • A. Only cloud storage
  • B. IoT ✓
  • C. Desktop publishing
  • D. Spreadsheet formatting
Answer: B. IoT
This is an IoT application because connected devices collect and transmit patient data for monitoring and alerts.
Which option best distinguishes AI from machine learning?
  • A. AI is a subset of machine learning
  • B. Machine learning is a subset of AI ✓
  • C. Both are unrelated
  • D. Machine learning works without data
Answer: B. Machine learning is a subset of AI
Machine learning is part of AI. AI is the broader field, while machine learning focuses on systems learning from data.
A weather-monitoring system collects temperature, humidity, and pressure data from many sensors placed in different locations and stores it online for analysis. Which technology set is involved?
  • A. IoT, Big Data, and Cloud Computing ✓
  • B. Only desktop publishing
  • C. Only word processing and spreadsheets
  • D. Only robotics and printers
Answer: A. IoT, Big Data, and Cloud Computing
The sensors and connectivity indicate IoT, large data collection relates to Big Data, and online storage/processing uses cloud computing.
Which of the following is the BEST reason why Big Data needs special tools for analysis?
  • A. Because the data is always stored in one small file
  • B. Because the data may be large, fast-changing, and come in different forms ✓
  • C. Because it is always numeric and simple
  • D. Because it can be handled only by robots
Answer: B. Because the data may be large, fast-changing, and come in different forms
Big Data is characterized by volume, velocity, and variety, which makes traditional tools insufficient for efficient processing.

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