Ans: C

Exp:

Statement 1 is incorrect: Analog computers are devices that process data using continuous signals or physical quantities such as voltage or current. They are suitable for handling tasks that involve real-world measurements and simulations, like weather forecasting or scientific experiments.

Statement 2 is incorrect: Hybrid computers combine features of both analog and digital computers. They can process both continuous data and discrete data, making them useful in applications where real-time data conversion and analysis are necessary, such as in some control systems and scientific research setups. 

Digital computers are the most common type of computers that we encounter in everyday life. They operate using discrete values, representing data in the form of binary digits (0s and 1s). Digital computers are versatile and capable of executing a wide range of tasks, from simple calculations to complex data processing and running applications.

Ans: C

Exp:

In the fields of high-performance computing (HPC), supercomputers and artificial intelligence (AI), FLOPs, or floating-point operations per second, is a regularly used metric to quantify the computational performance – processing power and efficiency of supercomputers. India will unveil its new 18 petaFLOP supercomputer for weather forecasting institutes later in 2023. The new supercomputer is expected to improve weather forecasts at the block level, help weather scientists give higher resolution ranges of the forecast, and predict cyclones with more accuracy and better lead time.

Ans: D

Exp:

The Government of India introduced the PM WANI (Prime Minister Wi-Fi Access Network Interface) Scheme in an effort to encourage the spread of broadband internet across the nation. The program intends to widely distribute Wi-Fi hotspots across the nation to increase connectivity options and enhance digital access.

The plan calls for neighbourhood and local Kirana stores to build up free public Wi-Fi networks and access points using public data offices (PDOs), which will be established similarly to public call centres (PCOs).

Ans: A

Exp:

Statement 1 is correct: Web 3.0 will incorporate Artificial Intelligence(AI) /Machine learning (ML) and blockchain technology, enabling apps to handle information in a sophisticated, human-like manner and promising to increase data security, scalability, and privacy.

Statement 2 is incorrect: India has still not adopted web 3.0 in its National Supercomputing mission. Web 3.0 is the next generation of the internet after Web 2.0. Web 3.0 has the ability to usher in a consumer-centric, open-source future web that prioritises security and privacy. It would make it possible for computers and users to exchange information and value across a peer-to-peer network.

Statement 3 is correct: Artificial intelligence (AI), the Internet of Things (IoT), and blockchain technology are the three key pillars of Web 3.0. 

• Blockchain will promote trust in the virtual world and assist in attaining decentralized data storage.
• Artificial Intelligence (AI) will assist in interpreting and filtering web data so that users are presented with the most pertinent options.
• The Internet of Things (IoT) will assist Web 3.0’s interoperability layer in bridging the gap between the Internet and smart gadgets.

Ans: D

Exp:

Deep learning neural networks, or artificial neural networks, attempt to mimic the human brain through a combination of data inputs, weights, and biases. These are the neural networks that attempt to simulate the behaviour of the human brain—albeit far from matching its ability—allowing it to “learn” from large amounts of data. It consists of multiple nodes that are little parts of the system, and they are like neurons of the human brain. When a stimulus hits them, a process takes place in these nodes;

• Some of them are connected and marked, and some are not, but in general, nodes are grouped into layers. 
• The system must process layers of data between the input and output to solve a task. 
• The more layers it has to process to get the result, the deeper the network is considered.
• These networks ingest a complete document or image and generate a final output, without the need to specify a particular way of extracting features.