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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.

64 questions106 flashcards5 concepts

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17 Questions Solved · 1 Section

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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:

  1. Google Drive / OneDrive / Dropbox – Cloud storage for files, photos and documents.
  2. Gmail / Outlook – Web-based email services hosted on the cloud.
  3. Google Docs / Microsoft 365 – Online word processing, spreadsheets and presentations.
  4. YouTube / Netflix / Hotstar – Cloud-based video streaming platforms.
  5. Google Classroom / DIKSHA – Cloud-based e-learning platforms.
  6. WhatsApp / Telegram – Messaging apps that store media and chats on the cloud.
  7. iCloud / Google Photos – Automatic cloud backup of photos and contacts.
  8. 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:

DomainApplication
Smart HomeSmart lighting, smart locks, smart thermostats
HealthcareWearable health monitors, remote patient monitoring
AgricultureSoil moisture sensors, automated irrigation systems
TransportationGPS vehicle tracking, smart traffic management
Smart CitiesSmart parking, waste management, smart street lights
EducationSmart classrooms, e-attendance using wearables
RetailInventory tracking, smart shelves
IndustryPredictive 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:

  1. IaaS (Infrastructure as a Service): Provides virtualised computing infrastructure. Example: Amazon Web Services (AWS), Microsoft Azure.
  2. PaaS (Platform as a Service): Provides a platform for developers to build and deploy applications. Example: Google App Engine.
  3. 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):

CharacteristicDescriptionExample
VolumeEnormous amount of data generated every secondTerabytes/Petabytes of data from social media
VelocitySpeed at which data is generated and processedReal-time stock market data, Twitter feeds
VarietyDifferent types of data — structured, semi-structured, unstructuredText, images, videos, sensor data
VeracityAccuracy, reliability and trustworthiness of dataFiltering fake news or incorrect sensor readings
ValueUsefulness of data after processing and analysisBusiness 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:

DomainApplication
HealthcareDisease diagnosis (e.g., cancer detection), drug discovery
FinanceFraud detection, algorithmic trading, credit scoring
TransportationSelf-driving cars (Tesla, Waymo)
EducationPersonalised learning, intelligent tutoring systems
EntertainmentNetflix/YouTube recommendation engines
Customer ServiceAI chatbots (e.g., Siri, Alexa, Google Assistant)
AgricultureCrop disease detection, yield prediction
SecurityFace 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:
Data→ML AlgorithmModel→New InputPrediction/Decision\text{Data} \xrightarrow{\text{ML Algorithm}} \text{Model} \xrightarrow{\text{New Input}} \text{Prediction/Decision}

Types of Machine Learning:

  1. Supervised Learning: Model is trained on labelled data. Example: Email spam detection.
  2. Unsupervised Learning: Model finds hidden patterns in unlabelled data. Example: Customer segmentation.
  3. Reinforcement Learning: Model learns by trial and error using rewards. Example: Game-playing AI like AlphaGo.

Applications of Machine Learning:

DomainApplication
E-commerceProduct recommendation (Amazon, Flipkart)
HealthcarePredicting patient readmission, medical image analysis
FinanceCredit risk assessment, stock price prediction
Social MediaTargeted advertising, content filtering
NLPLanguage translation (Google Translate)
CybersecurityDetecting malware and intrusions
Autonomous VehiclesObject 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:

BasisCloud ComputingGrid Computing
DefinitionDelivery of computing services (storage, servers, software) over the internet on demandA network of geographically dispersed, heterogeneous computers working together to solve a large problem
OwnershipResources are owned and managed by a cloud providerResources are contributed by multiple organisations or individuals
AccessibilityAccessible to anyone via the internetTypically used within a specific organisation or research community
ScalabilityHighly scalable — resources can be increased/decreased on demandLess flexible; depends on available nodes
PaymentPay-as-you-go modelUsually free or shared-cost model
ManagementCentralised management by the providerDecentralised — each node is independently managed
PurposeGeneral-purpose computing, storage, software deliverySolving large-scale scientific or computational problems
StandardisationHighly standardised servicesHeterogeneous — different hardware and OS
ExamplesAmazon AWS, Google Cloud, Microsoft AzureSETI@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:

  1. No capital expenditure: Organisations do not need to purchase expensive physical servers, hard drives or data centres.
  2. Pay-as-you-go: Users pay only for the storage they actually use, avoiding wasteful over-provisioning.
  3. Reduced maintenance cost: The cloud provider handles hardware maintenance, upgrades and repairs — saving the organisation money on IT staff and equipment.
  4. Economies of scale: Cloud providers serve millions of users, so the cost per unit of storage is very low.
  5. No energy costs: The organisation does not pay for electricity to run and cool its own servers.

Time-Saving:

  1. Instant provisioning: Storage can be allocated within minutes, unlike purchasing and setting up physical hardware which takes days or weeks.
  2. Automatic backups: Cloud services automatically back up data, saving the time needed for manual backup procedures.
  3. Anywhere access: Data stored in the cloud can be accessed from any device at any time, eliminating the time spent transferring files physically.
  4. 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:

  1. 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.
  1. 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.
  1. 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.
  1. APIs (Application Programming Interfaces): Developers can programmatically request resources using APIs, enabling automated and instant provisioning.
  1. 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.

8aWrite examples of Government-provided cloud computing platforms.

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8bWrite examples of large-scale private cloud service providers and the services they provide.

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9A company interested in cloud computing is looking for a provider who offers a set of basic services, such as virtual server provisioning and on-demand storage that can be combined into a platform for deploying and running customised applications. What type of cloud computing model fits these requirements?
a) Platform as a Service
b) Software as a Service
c) Application as a Service
d) Infrastructure as a Service

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10If the government plans to make a smart school by applying IoT concepts, how can each of the following be implemented in order to transform a school into an IoT-enabled smart school?
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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11Five friends plan to try a startup. However, they have a limited budget and limited computer infrastructure. How can they avail the benefits of cloud services to launch their startup?

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12Governments provide various scholarships to students of different classes. Prepare a report on how blockchain technology can be used to promote accountability, transparency and efficiency in distribution of scholarships.

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13How are IoT and WoT related?

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14Match the columns:
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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Frequently Asked Questions

What are the important topics in Emerging Trends for CBSE Class 11 Informatics Practices?
Key topics in Emerging Trends include Introduction to Emerging Trends, Artificial Intelligence, Machine Learning, NLP, Immersive Experiences, and Robotics, Big Data and Data Analytics, Internet of Things, Web of Things, Sensors, and Smart Cities. Study these first, then practise questions on each for Class 11 exams.
Are these NCERT Solutions for Emerging Trends free?
The first 9 of the 17 solutions on this page are open to read. The other 8 are free with a Super Tutor account — signing up is free and needs no card.
How should I revise Emerging Trends for Class 11 exams?
Learn the core ideas first, then work through the 64 practice questions on Emerging Trends. Revise definitions regularly and use flashcards for quick recall before the exam.

Sources & Official References

Content is aligned to the official syllabus. Refer to the board website for the latest curriculum.

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