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Wipro NLTH Emerging Technologies — practice questions

Explore 6 free Emerging Technologies questions in Wipro NLTH Computer Awareness. Open each question or exercise to read its content, reference answers and available explanation.

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Emerging Technologies questions and exercises with answers

Showing questions 1–6 of 6.

Machine Learning is best described as:Read the answer and worked solution →Predictive typing and automated customer service chat are applications of:Read the answer and worked solution →Data sets that are too voluminous and unstructured for traditional processing tools are called:Read the answer and worked solution →The Internet of Things refers to a network of devices that:Read the answer and worked solution →Match each technology to what it doesRead the answer and worked solution →Central database or blockchain?Read the answer and worked solution →

Worked practice questions

Machine Learning is best described as:

  1. A category of system utility software
  2. A type of network topology
  3. A replacement for the operating system
  4. A subsystem of Artificial Intelligence
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Correct answer: D. A subsystem of Artificial Intelligence

1. Artificial Intelligence aims to simulate human intelligence in machines. 2. Machine Learning is a subsystem of Artificial Intelligence. 3. In it, computers learn from data using statistical techniques without being explicitly programmed. 4. Its algorithms, called models, are trained and tested on separate training and testing data. 5. Once accurate enough, the models are used to predict outcomes for new and unknown data. _Source: syllabus Informatics Practices Class 11, Ch 2 'Emerging Trends', S2.2.1 Machine Learning_

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Predictive typing and automated customer service chat are applications of:

  1. Blockchain ledger tech
  2. Big Data visualisation
  3. Natural Language Processing
  4. Internet of Things (IoT)
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Correct answer: C. Natural Language Processing

1. Natural Language Processing deals with interaction between humans and computers using spoken languages. 2. Predictive typing, which suggests the next word while you type, is given as an example of NLP. 3. Spell checking is another example of the same field. 4. An NLP system can also perform text-to-speech and speech-to-text conversion. 5. Automated customer service, where software answers customer queries, is named as an emerging NLP application. _Source: syllabus Informatics Practices Class 11, Ch 2 'Emerging Trends', S2.2.2 Natural Language Processing (NLP)_

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Data sets that are too voluminous and unstructured for traditional processing tools are called:

  1. Big Data
  2. Metadata
  3. Cached data
  4. Master data
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Correct answer: A. Big Data

1. Over a billion internet users now generate data at an enormous rate. 2. This produces data sets of enormous volume and complexity called Big Data. 3. Such data cannot be processed and analysed using traditional data processing tools. 4. It is also unstructured, taking the form of posts, chats, photographs, tweets and audio or video. 5. Handling it brings challenges of integration, storage, analysis, searching, transfer and visualisation. _Source: syllabus Informatics Practices Class 11, Ch 2 'Emerging Trends', S2.3 Big Data_

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