Emerging Trends — NCERT Solutions
CBSE · Class 11 · Informatics Practices
NCERT Solutions for Emerging Trends, CBSE Class 11 Informatics Practices: 17 textbook questions solved step by step.
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Exercise — Emerging Trends (Computer Science Class 11)
1List some of the cloud-based services that you are using at present.Show solution
Cloud-based services commonly used today include:
- Google Drive / OneDrive / Dropbox – Cloud storage for files, photos and documents.
- Gmail / Outlook – Web-based email services hosted on the cloud.
- Google Docs / Microsoft 365 – Online word processing, spreadsheets and presentations.
- YouTube / Netflix / Hotstar – Cloud-based video streaming platforms.
- Google Classroom / DIKSHA – Cloud-based e-learning platforms.
- WhatsApp / Telegram – Messaging apps that store media and chats on the cloud.
- iCloud / Google Photos – Automatic cloud backup of photos and contacts.
- Zoom / Google Meet – Cloud-based video conferencing services.
All these services allow users to access data and applications from any device connected to the internet, without needing local storage or processing power.
2What do you understand by the Internet of Things? List some of its potential applications.Show solution
Internet of Things (IoT):
The Internet of Things (IoT) is a network of physical devices (things) embedded with sensors, software, and other technologies that enable them to connect and exchange data with other devices and systems over the internet — without requiring human-to-human or human-to-computer interaction.
Key idea: Everyday objects become 'smart' by being connected to the internet.
Potential Applications of IoT:
| Domain | Application |
|---|---|
| Smart Home | Smart lighting, smart locks, smart thermostats |
| Healthcare | Wearable health monitors, remote patient monitoring |
| Agriculture | Soil moisture sensors, automated irrigation systems |
| Transportation | GPS vehicle tracking, smart traffic management |
| Smart Cities | Smart parking, waste management, smart street lights |
| Education | Smart classrooms, e-attendance using wearables |
| Retail | Inventory tracking, smart shelves |
| Industry | Predictive maintenance of machines (Industrial IoT) |
Thus, IoT connects the physical world to the digital world, enabling automation and real-time monitoring across virtually every sector.
3aWrite a short note on Cloud Computing.Show solution
Cloud Computing:
Definition: Cloud computing is a model that allows users to access computing resources — such as servers, storage, databases, networking, software and analytics — over the internet ('the cloud') on a pay-as-you-go or on-demand basis, without owning or managing physical infrastructure.
Key Characteristics:
- On-demand self-service: Resources can be provisioned automatically without human interaction.
- Broad network access: Services are accessible from anywhere via the internet.
- Resource pooling: Resources are shared among multiple users.
- Rapid elasticity: Resources can be scaled up or down quickly.
- Measured service: Usage is monitored and billed accordingly.
Service Models:
- IaaS (Infrastructure as a Service): Provides virtualised computing infrastructure. Example: Amazon Web Services (AWS), Microsoft Azure.
- PaaS (Platform as a Service): Provides a platform for developers to build and deploy applications. Example: Google App Engine.
- SaaS (Software as a Service): Provides ready-to-use software over the internet. Example: Gmail, Google Docs, Salesforce.
Advantages: Cost-effective, scalable, accessible from anywhere, automatic updates, disaster recovery.
Examples of Cloud Providers: Amazon AWS, Google Cloud, Microsoft Azure, MeghRaj (Government of India).
3bWrite a short note on Big Data and its Characteristics.Show solution
Big Data:
Definition: Big data refers to extremely large and complex datasets that cannot be processed or analysed using traditional data processing tools. It holds rich information and knowledge that can be of high business and social value.
Sources of Big Data: Social media posts, sensor data, transaction records, medical records, satellite images, log files, etc.
Five Characteristics of Big Data (5 V's):
| Characteristic | Description | Example |
|---|---|---|
| Volume | Enormous amount of data generated every second | Terabytes/Petabytes of data from social media |
| Velocity | Speed at which data is generated and processed | Real-time stock market data, Twitter feeds |
| Variety | Different types of data — structured, semi-structured, unstructured | Text, images, videos, sensor data |
| Veracity | Accuracy, reliability and trustworthiness of data | Filtering fake news or incorrect sensor readings |
| Value | Usefulness of data after processing and analysis | Business insights, medical discoveries |
Applications of Big Data: Healthcare (disease prediction), banking (fraud detection), e-commerce (recommendation systems), government (policy making), weather forecasting.
Tools used: Hadoop, Apache Spark, NoSQL databases.
4aExplain Artificial Intelligence along with its applications.Show solution
Artificial Intelligence (AI):
Definition: Artificial Intelligence is the simulation of human intelligence processes by computer systems. It endeavours to make machines capable of performing tasks that typically require human intelligence, such as reasoning, learning, problem-solving, perception, and language understanding.
Goals of AI:
- To create expert systems that exhibit intelligent behaviour.
- To implement human intelligence in machines.
Branches of AI:
- Machine Learning
- Natural Language Processing (NLP)
- Computer Vision
- Robotics
- Expert Systems
Applications of AI:
| Domain | Application |
|---|---|
| Healthcare | Disease diagnosis (e.g., cancer detection), drug discovery |
| Finance | Fraud detection, algorithmic trading, credit scoring |
| Transportation | Self-driving cars (Tesla, Waymo) |
| Education | Personalised learning, intelligent tutoring systems |
| Entertainment | Netflix/YouTube recommendation engines |
| Customer Service | AI chatbots (e.g., Siri, Alexa, Google Assistant) |
| Agriculture | Crop disease detection, yield prediction |
| Security | Face recognition, surveillance systems |
Conclusion: AI is transforming every industry by automating complex tasks and enabling smarter decision-making.
4bExplain Machine Learning along with its applications.Show solution
Machine Learning (ML):
Definition: Machine Learning is a subset of Artificial Intelligence that comprises algorithms which enable computers to learn from data on their own, identify patterns, and make decisions or predictions — without being explicitly programmed for each task.
How it works:
Types of Machine Learning:
- Supervised Learning: Model is trained on labelled data. Example: Email spam detection.
- Unsupervised Learning: Model finds hidden patterns in unlabelled data. Example: Customer segmentation.
- Reinforcement Learning: Model learns by trial and error using rewards. Example: Game-playing AI like AlphaGo.
Applications of Machine Learning:
| Domain | Application |
|---|---|
| E-commerce | Product recommendation (Amazon, Flipkart) |
| Healthcare | Predicting patient readmission, medical image analysis |
| Finance | Credit risk assessment, stock price prediction |
| Social Media | Targeted advertising, content filtering |
| NLP | Language translation (Google Translate) |
| Cybersecurity | Detecting malware and intrusions |
| Autonomous Vehicles | Object detection and path planning |
Conclusion: Machine Learning allows systems to improve automatically through experience, making it one of the most powerful tools in modern computing.
5Differentiate between cloud computing and grid computing with suitable examples.Show solution
Difference between Cloud Computing and Grid Computing:
| Basis | Cloud Computing | Grid Computing |
|---|---|---|
| Definition | Delivery of computing services (storage, servers, software) over the internet on demand | A network of geographically dispersed, heterogeneous computers working together to solve a large problem |
| Ownership | Resources are owned and managed by a cloud provider | Resources are contributed by multiple organisations or individuals |
| Accessibility | Accessible to anyone via the internet | Typically used within a specific organisation or research community |
| Scalability | Highly scalable — resources can be increased/decreased on demand | Less flexible; depends on available nodes |
| Payment | Pay-as-you-go model | Usually free or shared-cost model |
| Management | Centralised management by the provider | Decentralised — each node is independently managed |
| Purpose | General-purpose computing, storage, software delivery | Solving large-scale scientific or computational problems |
| Standardisation | Highly standardised services | Heterogeneous — different hardware and OS |
| Examples | Amazon AWS, Google Cloud, Microsoft Azure | SETI@home, LHC Computing Grid (CERN), BOINC |
Summary:
- Cloud computing is like renting a fully managed apartment — you use what you need and pay for it.
- Grid computing is like a cooperative where many people pool their resources to complete a massive shared task.
6Justify the following statement: "Storage of data is cost-effective and time saving in cloud computing."Show solution
Justification:
The statement is true. Cloud computing makes data storage both cost-effective and time-saving for the following reasons:
Cost-Effectiveness:
- No capital expenditure: Organisations do not need to purchase expensive physical servers, hard drives or data centres.
- Pay-as-you-go: Users pay only for the storage they actually use, avoiding wasteful over-provisioning.
- Reduced maintenance cost: The cloud provider handles hardware maintenance, upgrades and repairs — saving the organisation money on IT staff and equipment.
- Economies of scale: Cloud providers serve millions of users, so the cost per unit of storage is very low.
- No energy costs: The organisation does not pay for electricity to run and cool its own servers.
Time-Saving:
- Instant provisioning: Storage can be allocated within minutes, unlike purchasing and setting up physical hardware which takes days or weeks.
- Automatic backups: Cloud services automatically back up data, saving the time needed for manual backup procedures.
- Anywhere access: Data stored in the cloud can be accessed from any device at any time, eliminating the time spent transferring files physically.
- Automatic updates: The cloud provider handles software and security updates automatically.
Conclusion: Since cloud computing eliminates the need for physical infrastructure, reduces operational costs, and provides instant, scalable storage accessible from anywhere, it is indeed both cost-effective and time-saving.
7What is on-demand service? How is it provided in cloud computing?Show solution
On-Demand Service:
Definition: An on-demand service is one where a user can access and use computing resources (such as processing power, storage, software, or network bandwidth) whenever needed, without requiring prior arrangement or human intervention from the service provider.
The key idea is: 'Use what you need, when you need it, and pay only for what you use.'
How On-Demand Service is Provided in Cloud Computing:
- Self-Service Portal: Cloud providers offer web-based dashboards (e.g., AWS Management Console, Google Cloud Console) where users can instantly provision resources like virtual machines, databases, or storage with a few clicks.
- Virtualisation Technology: Cloud providers use virtualisation to create multiple virtual machines on a single physical server. This allows resources to be allocated and de-allocated dynamically based on user demand.
- Elasticity and Scalability: If a user's workload increases (e.g., during a sale on an e-commerce site), the cloud automatically scales up resources. When demand drops, resources are scaled down — all without manual intervention.
- APIs (Application Programming Interfaces): Developers can programmatically request resources using APIs, enabling automated and instant provisioning.
- Metered Usage: Cloud services use a metered model — usage is continuously monitored and users are billed only for what they consume (similar to electricity billing).
Example: A startup can launch a new web server on Amazon AWS within minutes by selecting the required configuration on the portal — no need to buy hardware or wait for installation.
Conclusion: On-demand service in cloud computing gives users complete flexibility and control over their resource usage, making it highly efficient and economical.
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a) Platform as a Service
b) Software as a Service
c) Application as a Service
d) Infrastructure as a Service
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a) e-textbooks
b) Smart boards
c) Online Tests
d) WiFi sensors on classroom doors
e) Sensors in buses to monitor their location
f) Wearables (watches or smart belts) for attendance monitoring
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Column A:
1. You got a reminder to take medication
2. You got an SMS alert that you forgot to lock the door
3. You got an SMS alert that parking space is available near your block
4. You turned off your LED TV from your wrist watch
Column B:
A. Smart Parking
B. Smart Wearable
C. Home Automation
D. Smart Health
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Sources & Official References
- NCERT Official — ncert.nic.in
- CBSE Academic — cbseacademic.nic.in
- CBSE Official — cbse.gov.in
- National Education Policy 2020 — education.gov.in
Content is aligned to the official syllabus. Refer to the board website for the latest curriculum.
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