Almost all MCQs of Computer

January 2023
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  1. What is the main function of ChatGPT?

    a) Text generation

    b) Image captioning

    c) Speech recognition

    d) Language translation

Answer: a) Text generation

  1. Can ChatGPT be fine-tuned for multiple tasks?

    a) Yes

    b) No

Answer: a) Yes

  1. How can ChatGPT be used to improve a chatbot or virtual assistant?

    a) By fine-tuning the model on specific tasks such as question answering and sentiment analysis

    b) By training the model on image captioning data

    c) By integrating it with a speech recognition system

    d) By using it for language translation only

Answer: a) By fine-tuning the model on specific tasks such as question answering and sentiment analysis

  1. Can ChatGPT be used for text-to-speech synthesis?

    a) Yes

    b) No

Answer: a) Yes

  1. What are the limitations of ChatGPT?

    a) It can only be used for text generation

    b) It cannot understand sarcasm and irony

    c) It cannot generate truly creative content

    d) It can only handle in-vocabulary words

Answer: b) It cannot understand sarcasm and irony, c) It cannot generate truly creative content

  1. How can ChatGPT be used for question answering?

    a) By fine-tuning the model on specific tasks such as question answering

    b) By training the model on image captioning data

    c) By integrating it with a speech recognition system

    d) By using it for language translation only

Answer: a) By fine-tuning the model on specific tasks such as question answering

  1. How does ChatGPT handle out-of-vocabulary words?

    a) It generates an accurate response

    b) It generates a random response

    c) It uses techniques such as subword tokenization

    d) It ignores the out-of-vocabulary words

Answer: c) It uses techniques such as subword tokenization

  1. What are some advantages of using ChatGPT for text-to-speech synthesis?

    a) It can generate natural-sounding speech from text

    b) It can be fine-tuned on specific tasks such as text-to-speech synthesis

    c) It can handle out-of-vocabulary words easily

    d) It can understand sarcasm and irony

Answer: a) It can generate natural-sounding speech from text, b) It can be fine-tuned on specific tasks such as text-to-speech synthesis

  1. Can ChatGPT be used for named entity recognition (NER)?

    a) Yes

    b) No

Answer: a) Yes

  1. Can ChatGPT be used for automated content creation such as news articles or product descriptions?

    a) Yes

    b) No

Answer: a) Yes

  1. How can ChatGPT be used to improve the natural language understanding of a chatbot or virtual assistant?

    a) By fine-tuning the model on specific tasks such as question answering, sentiment analysis and automated dialogue generation

    b) By training the model on image captioning data

    c) By integrating it with a speech recognition system

    d) By using it for language translation only

Answer: a) By fine-tuning the model on specific tasks such as question answering, sentiment analysis and automated dialogue generation

  1. Can ChatGPT be used for text-to-speech (TTS) or speech-to-text (STT) tasks?

    a) Yes

    b) No

Answer: a) Yes

  1. How can ChatGPT be used for machine translation?

    a) By fine-tuning the model on specific tasks such as machine translation by training the model on a multilingual dataset

    b) By training the model on image captioning data

    c) By integrating it with a speech recognition system

    d) By using it for text summarization only

Answer: a) By fine-tuning the model on specific tasks such as machine translation by training the model on a multilingual dataset

  1. Can ChatGPT be used for image captioning?

    a) Yes

    b) No

Answer: a) Yes

  1. What are some of the applications of ChatGPT?

    a) Text generation
  1. Can ChatGPT be used for language modeling?

    a) Yes

    b) No

Answer: a) Yes

  1. How can ChatGPT be used for text classification?

    a) By fine-tuning the model on specific tasks such as text classification to classify text into different categories such as spam or not spam, positive or negative sentiment, etc.

    b) By training the model on image captioning data

    c) By integrating it with a speech recognition system

    d) By using it for text summarization only

Answer: a) By fine-tuning the model on specific tasks such as text classification to classify text into different categories such as spam or not spam, positive or negative sentiment, etc.

  1. Can ChatGPT generate creative content?

    a) Yes

    b) No

Answer: b) No

  1. What is the main advantage of using ChatGPT for text generation tasks?

    a) It can generate human-like text

    b) It can understand sarcasm and irony

    c) It can handle out-of-vocabulary words easily

    d) It can generate truly creative content

Answer: a) It can generate human-like text

  1. How can ChatGPT be used to improve the natural language understanding of a search engine?

    a) By fine-tuning the model on specific tasks such as language-based search engine to generate more relevant and accurate results by understanding the user's query and the context of the search.

    b) By training the model on image captioning data

    c) By integrating it with a speech recognition system

    d) By using it for language translation only

Answer: a) By fine-tuning the model on specific tasks such as language-based search engine to generate more relevant and accurate results by understanding the user's query and the context of the search.

  1. What are the main advantages of using ChatGPT for automated dialogue generation?

    a) It can generate human-like responses, it can improve the natural language understanding of a chatbot or virtual assistant, and it can handle out-of-vocabulary words easily

    b) It can only be used for text generation

    c) It can only be used for image captioning

    d) It can only be used for speech recognition

Answer: a) It can generate human-like responses, it can improve the natural language understanding of a chatbot or virtual assistant, and it can handle out-of-vocabulary words easily

  1. How can ChatGPT be used for sentiment analysis?

    a) By fine-tuning the model on specific tasks such as sentiment analysis to classify text into different sentiments such as positive, negative or neutral.

    b) By training the model on image captioning data

    c) By integrating it with a speech recognition system

    d) By using it for text summarization only

Answer: a) By fine-tuning the model on specific tasks such as sentiment analysis to classify text into different sentiments such as positive, negative or neutral.

  1. How can ChatGPT be used for language-based search engine?

    a) By fine-tuning the model on specific tasks such as language-based search engine to generate more relevant and accurate results by understanding the user's query and the context of the search

    b) By training the model on image captioning data

    c) By integrating it with a speech recognition system

    d) By using it for language translation only

Answer: a) By fine-tuning the model on specific tasks such as language-based search engine to generate more relevant and accurate results by understanding the user's query and the context of the search

  1. Can ChatGPT be used for text summarization?

    a) Yes

    b) No

Answer: a) Yes

  1. How does ChatGPT handle out-of-vocabulary words?

    a) It generates an accurate response

    b) It generates a random response

    c) It uses techniques such as subword tokenization

    d) It ignores the out-of-vocabulary words

Answer: c) It uses techniques such as subword tokenization

  1. What is the main difference between GPT and ChatGPT?

    a) GPT is a language model and ChatGPT is a conversational model

    b) GPT is a conversational model and ChatGPT is a language model

    c) GPT is a text-to-speech model and ChatGPT is a text-to-text model

    d) GPT and ChatGPT are the same

Answer: b) GPT is a conversational model and ChatGPT is a language model

  1. Can ChatGPT be used for language-based search engine?

    a) Yes

    b) No

Answer: a) Yes

  1. What are some of the applications of ChatGPT?

    a) Text generation, question answering, automated dialogue generation, text summarization, language-based search engine, text classification, sentiment analysis, named entity recognition, and machine translation.

    b) Image captioning, speech recognition and language translation

    c) Text-to-speech synthesis and text summarization

    d) Language modeling and text-to-speech synthesis

Answer: a) Text generation, question answering, automated dialogue generation, text summarization, language-based search engine, text classification, sentiment analysis, named entity recognition, and machine translation.

  1. Can ChatGPT be used for automated content creation such as news articles or product descriptions?

    a) Yes

    b) No

Answer: a) Yes

  1. How can ChatGPT be used for machine translation?

    a) By fine-tuning the model on specific tasks such as machine translation by training the model on a multilingual dataset

    b) By training the model on image captioning data

    c) By integrating it with a speech recognition system

    d) By using it for text summarization only

Answer: a) By fine-tuning the model on specific tasks such as machine translation by training the model on a multilingual dataset

  1. What is the main advantage of using ChatGPT for automated dialogue generation?

    a) It can generate human-like responses and can improve the natural language understanding of a chatbot or virtual assistant

    b) It can only be used for text generation

    c) It can only be used for image captioning

    d) It can only be used for speech recognition

Answer: a) It can generate human-like responses and can improve the natural language understanding of a chatbot or virtual assistant

  1. Can ChatGPT be used for text-to-speech (TTS) or speech-to-text (STT) tasks?

    a) Yes

    b) No

Answer: a) Yes

  1. How can ChatGPT be used for text summarization?

    a) By fine-tuning the model on specific tasks such as text summarization and identifying and extracting the most important information

    b) By training the model on image captioning data

    c) By integrating it with a speech recognition system

    d) By using it for language translation only

Answer: a) By fine-tuning the model on specific tasks such as text summarization and identifying and extracting the most important information

  1. How can ChatGPT be used for sentiment analysis?

    a) By fine-tuning the model on specific tasks such as sentiment analysis to classify text into different sentiments such as positive, negative or neutral

    b) By training the model on image captioning data

    c) By integrating it with a speech recognition system

    d) By using it for text summarization only

Answer: a) By fine-tuning the model on specific tasks such as sentiment analysis to classify text into different sentiments such as positive, negative or neutral

  1. How can ChatGPT be used to improve the natural language understanding


  1. Can ChatGPT be used for text-to-speech synthesis?

    a) Yes

    b) No

Answer: a) Yes

  1. How can ChatGPT be used for named entity recognition (NER)?

    a) By fine-tuning the model on specific tasks such as NER by training the model on a dataset that contains labeled entities

    b) By training the model on image captioning data

    c) By integrating it with a speech recognition system

    d) By using it for text summarization only

Answer: a) By fine-tuning the model on specific tasks such as NER by training the model on a dataset that contains labeled entities

  1. How can ChatGPT be used to improve the natural language understanding of a chatbot or virtual assistant?

    a) By fine-tuning the model on specific tasks such as question answering, sentiment analysis and automated dialogue generation

    b) By training the model on image captioning data

    c) By integrating it with a speech recognition system

    d) By using it for language translation only

Answer: a) By fine-tuning the model on specific tasks such as question answering, sentiment analysis and automated dialogue generation

  1. Can ChatGPT be fine-tuned for multiple tasks?

    a) Yes

    b) No

Answer: a) Yes

  1. What are the limitations of ChatGPT?

    a) It can only be used for text generation

    b) It cannot understand sarcasm and irony

    c) It cannot generate truly creative content

    d) It can only handle in-vocabulary words

Answer: b) It cannot understand sarcasm and irony, c) It cannot generate truly creative content


  1. Can ChatGPT be used for language-based search engine?

    a) Yes

    b) No

Answer: a) Yes

  1. What are the main advantages of using ChatGPT for text generation tasks?

    a) It can generate human-like text and it can be fine-tuned on specific tasks

    b) It can understand sarcasm and irony

    c) It can handle out-of-vocabulary words easily

    d) It can generate truly creative content

Answer: a) It can generate human-like text and it can be fine-tuned on specific tasks

  1. How can ChatGPT be used for text classification?

    a) By fine-tuning the model on specific tasks such as text classification to classify text into different categories such as spam or not spam, positive or negative sentiment, etc.

    b) By training the model on image captioning data

    c) By integrating it with a speech recognition system

    d) By using it for text summarization only

Answer: a) By fine-tuning the model on specific tasks such as text classification to classify text into different categories such as spam or not spam, positive or negative sentiment, etc.

  1. Can ChatGPT be used for automated content creation such as news articles or product descriptions?

    a) Yes

    b) No

Answer: a) Yes

  1. How can ChatGPT be used for machine translation?

    a) By fine-tuning the model on specific tasks such as machine translation by training the model on a multilingual dataset

    b) By training the model on image captioning data

    c) By integrating it with a speech recognition system

    d) By using it for text summarization only

Answer: a) By fine-tuning the model on specific tasks such as machine translation by training the model on a multilingual dataset



  1. How can ChatGPT be used for automated dialogue generation?

    a) By fine-tuning the model on specific tasks such as automated dialogue generation to generate human-like responses

    b) By training the model on image captioning data

    c) By integrating it with a speech recognition system

    d) By using it for language translation only

Answer: a) By fine-tuning the model on specific tasks such as automated dialogue generation to generate human-like responses

  1. How can ChatGPT be used for text summarization?

    a) By fine-tuning the model on specific tasks such as text summarization and identifying and extracting the most important information

    b) By training the model on image captioning data

    c) By integrating it with a speech recognition system

    d) By using it for language translation only

Answer: a) By fine-tuning the model on specific tasks such as text summarization and identifying and extracting the most important information

  1. How can ChatGPT be used for sentiment analysis?

    a) By fine-tuning the model on specific tasks such as sentiment analysis to classify text into different sentiments such as positive, negative or neutral

    b) By training the model on image captioning data

    c) By integrating it with a speech recognition system

    d) By using it for text summarization only

Answer: a) By fine-tuning the model on specific tasks such as sentiment analysis to classify text into different sentiments such as positive, negative or neutral

  1. How can ChatGPT be used for named entity recognition (NER)?

    a) By fine-tuning the model on specific tasks such as NER by training the model on a dataset that contains labeled entities

    b) By training the model on image captioning data

    c) By integrating it with a speech recognition system

    d) By using it for text summarization only

Answer: a) By fine-tuning the model on specific tasks such as NER by training the model on a dataset that contains labeled entities

  1. How can ChatGPT be used to improve the natural language understanding of a chatbot or virtual assistant?

    a) By fine-tuning the model on specific tasks such as question answering, sentiment analysis and automated dialogue generation

    b) By training the model on image captioning data

    c) By integrating it with a speech recognition system

    d) By using it for language translation only

Answer: a) By fine-tuning the model on specific tasks such as question answering, sentiment analysis and automated dialogue generation


  1. What is the main advantage of using ChatGPT for automated dialogue generation?

    a) It can generate human-like responses and can improve the natural language understanding of a chatbot or virtual assistant

    b) It can only be used for text generation

    c) It can only be used for image captioning

    d) It can only be used for speech recognition

Answer: a) It can generate human-like responses and can improve the natural language understanding of a chatbot or virtual assistant

  1. Can ChatGPT be used for text-to-speech (TTS) or speech-to-text (STT) tasks?

    a) Yes

    b) No

Answer: a) Yes

  1. How can ChatGPT be used for text summarization?

    a) By fine-tuning the model on specific tasks such as text summarization and identifying and extracting the most important information

    b) By training the model on image captioning data

    c) By integrating it with a speech recognition system

    d) By using it for language translation only

Answer: a) By fine-tuning the model on specific tasks such as text summarization and identifying and extracting the most important information

  1. How can ChatGPT be used for sentiment analysis?

    a) By fine-tuning the model on specific tasks such as sentiment analysis to classify text into different sentiments such as positive, negative or neutral

    b) By training the model on image captioning data

    c) By integrating it with a speech recognition system

    d) By using it for text summarization only

Answer: a) By fine-tuning the model on specific tasks such as sentiment analysis to classify text into different sentiments such as positive, negative or neutral

  1. How can ChatGPT be used to improve the natural language understanding?

    a) By fine-tuning the model on specific tasks such as question answering, sentiment analysis, and automated dialogue generation

    b) By training the model on image captioning data

    c) By integrating it with a speech recognition system

    d) By using it for language translation only

Answer: a) By fine-tuning the model on specific tasks such as question answering, sentiment analysis, and automated dialogue generation


  1. How can ChatGPT be used for text classification?

    a) By fine-tuning the model on specific tasks such as text classification to classify text into different categories such as spam or not spam, positive or negative sentiment, etc.

    b) By training the model on image captioning data

    c) By integrating it with a speech recognition system

    d) By using it for text summarization only

Answer: a) By fine-tuning the model on specific tasks such as text classification to classify text into different categories such as spam or not spam, positive or negative sentiment, etc.

  1. Can ChatGPT be fine-tuned for multiple tasks?

    a) Yes

    b) No

Answer: a) Yes

  1. What are the limitations of ChatGPT?

    a) It can only be used for text generation

    b) It cannot understand sarcasm and irony

    c) It cannot generate truly creative content

    d) It can only handle in-vocabulary words

Answer: b) It cannot understand sarcasm and irony, c) It cannot generate truly creative content

  1. How can ChatGPT be used for text-to-speech synthesis?

    a) By fine-tuning the model on specific tasks such as text-to-speech synthesis, and generating audio from text

    b) By training the model on image captioning data

    c) By integrating it with a speech recognition system

    d) By using it for text summarization only

Answer: a) By fine-tuning the model on specific tasks such as text-to-speech synthesis, and generating audio from text

  1. How can ChatGPT be used for speech-to-text (STT)?

    a) By fine-tuning the model on specific tasks such as speech-to-text, and converting speech to text

    b) By training the model on image captioning data

    c) By integrating it with a text-to-speech system

    d) By using it for text summarization only

Answer: a) By fine-tuning the model on specific tasks such as speech-to-text, and converting speech to text

  1. How can ChatGPT be used for language-based search engine?

    a) By fine-tuning the model on specific tasks such as language-based search engine, and understand the natural language query and return relevant results.

    b) By training the model on image captioning data

    c) By integrating it with a speech recognition system

    d) By using it for text summarization only

Answer: a) By fine-tuning the model on specific tasks such as language-based search engine, and understand the natural language query and return relevant results.

  1. Can ChatGPT be used for automated content creation such as news articles or product descriptions?

    a) Yes

    b) No

Answer: a) Yes

  1. How can ChatGPT be used for machine translation?

    a) By fine-tuning the model on specific tasks such as machine translation by training the model on a multilingual dataset

    b) By training the model on image captioning data

    c) By integrating it with a speech recognition system

    d) By using it for text summarization only

Answer: a) By fine-tuning the model on specific tasks such as machine translation by training the model on a multilingual dataset

  1. How can ChatGPT be used for video captioning?

    a) By fine-tuning the model on specific tasks such as video captioning by training the model on a video captioning dataset

    b) By training the model on image captioning data

    c) By integrating it with a speech recognition system

    d) By using it for text summarization only

Answer: a) By fine-tuning the model on specific tasks such as video captioning by training the model on a video captioning dataset

  1. How can ChatGPT be used for speech generation?

    a) By fine-tuning the model on specific tasks such as speech generation, and generating speech from text

    b) By training the model on image captioning data

    c) By integrating it with a speech recognition system

    d) By using it for text summarization only

Answer: a) By fine-tuning the model on specific tasks such as speech generation, and generating speech from text

  1. How can ChatGPT be used for text generation?

    a) By fine-tuning the model on specific tasks such as text generation, and generating text from given prompt or context

    b) By training the model on image captioning data

    c) By integrating it with a speech recognition system

    d) By using it for text summarization only

Answer: a) By fine-tuning the model on specific tasks such as text generation, and generating text from given prompt or context

  1. How can ChatGPT be used for text completion?

    a) By fine-tuning the model on specific tasks such as text completion, and completing a given text

    b) By training the model on image captioning data

    c) By integrating it with a speech recognition system

    d) By using it for text summarization only

Answer: a) By fine-tuning the model on specific tasks such as text completion, and completing a given text

  1. How can ChatGPT be used for image captioning?

    a) By fine-tuning the model on specific tasks such as image captioning, and describing an image with natural language

    b) By training the model on text summarization data

    c) By integrating it with a speech recognition system

    d) By using it for text generation only

Answer: a) By fine-tuning the model on specific tasks such as image captioning, and describing an image with natural language

  1. Can ChatGPT be fine-tuned for a specific domain?

    a) Yes

    b) No

Answer: a) Yes

  1. What is the main disadvantage of using ChatGPT?

    a) It can only be used for text generation

    b) It cannot understand sarcasm and irony

    c) It cannot generate truly creative content

    d) It can only handle in-vocabulary words

Answer: c) It cannot generate truly creative content

  1. How can ChatGPT be used for language modeling?

    a) By fine-tuning the model on specific tasks such as language modeling, and predicting the next word in a sentence or a text

    b) By training the model on image captioning data

    c) By integrating it with a speech recognition system

    d) By using it for text summarization only

Answer: a) By fine-tuning the model on specific tasks such as language modeling, and predicting the next word in a sentence or a text

  1. How can ChatGPT be used for text generation in poetry or songwriting?

    a) By fine-tuning the model on specific tasks such as poetry or songwriting text generation, and generating text that has a specific rhyme or meter

    b) By training the model on image captioning data

    c) By integrating it with a speech recognition system

    d) By using it for text summarization only

Answer: a) By fine-tuning the model on specific tasks such as poetry or songwriting text generation, and generating text that has a specific rhyme or meter

  1. Can ChatGPT be used for story generation?

    a) Yes

    b) No

Answer: a) Yes

  1. How can ChatGPT be used for text generation in news?

    a) By fine-tuning the model on specific tasks such as news text generation, and generating news articles from given data

    b) By training the model on image captioning data

    c) By integrating it with a speech recognition system

    d) By using it for text summarization only

Answer: a) By fine-tuning the model on specific tasks such as news text generation, and generating news articles from given data

  1. How can ChatGPT be used for text generation in creative writing?

    a) By fine-tuning the model on specific tasks such as creative writing text generation, and generating text that is creative and imaginative

    b) By training the model on image captioning data

    c) By integrating it with a speech recognition system

    d) By using it for text summarization only

Answer: a) By fine-tuning the model on specific tasks such as creative writing text generation, and generating text that is creative and imaginative
10:06:00 PM
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Cyber Crimes

Cyber crime may be defined as any illegal act that involves a computer, computer system or computer network. It is any illegal act for which knowledge of computer technology is essential to execute, investigate, or implement.

 

The DOS and DONTS of network security
❖ Pay close attention to website URLs. Pay attention to the URLs of websites you visit.
❖ Keep operating system, browser, anti-virus and other critical software up to date.
Security updates and patches are available for free from major companies.
❖ Turn off the option to automatically download attachments from your emails
❖ Save and scan any attachments before opening them. If you have to open an attachment
before you can verify the source, take the following steps:
✧ Be sure your anti-virus software is up to date.
✧ Save the file to your computer or a disk.
✧ Run an anti-virus scan using your computer’s software.

________


10:28:00 AM
Twitter Facebook

 

1
. A computer network permits sharing of
  • Resources
  • Information 
  • Both a & b
  • None of these
C. Both a & b
2
. The first operational computer network in the world was the _________ for the United States Department of Defense
  • ARPANET 
  • ERNET
  • SKYNET
  • DARPANET
A. ARPANET 
3
. ATM stands for
  • Automatic taller machine 
  • Automated teller machine
  • Automatic transfer machine
  •  Automated transfer machine
B. Automated teller machine
4
. _______ is the technology that connects the machines and people within a site in a small area
  • LAN 
  • MAN
  • WAN
  • None of these
A. LAN 
5
. ______ is a network that covers geographic areas that are larger, such as districts or cities
  • LAN 
  • MAN 
  • WAN
  • None of these
B. MAN 
6
. ______ is a network that this technology connects sites that are in diverse locations
  • LAN
  • MAN
  • WAN 
  • None of these
C. WAN 
7
. ______ is a collection of point-to-point links that may form a circle
  • LAN
  • MAN
  • WAN
  • Ring topology
D. Ring topology
8
. The ISDN Internetworking Equipment devices are
  • Terminal Adapters(TAs)
  • ISDN Bridges
  • ISDN Routers
  • All of these
D. All of these
9
. ATM networks are
  • connectionless
  • Interconnected
  • connection oriented
  • None of these
C. connection oriented
10
. DHCP stands for
  • Dynamic Host Configuration Protocol
  • Digital Host Communication Provider
  • Digital Host Communication Protocol
  • Dynamic Host Configuration Provider
A. Dynamic Host Configuration Protocol

 MCQs set 2

A. Address Resolution Protocol 
9
. If two or more routers are connected to the same subnet, the network administration determines which of the routers the messages should be sent to eliminate this problem._____ are used
  • MAC messages
  • ICMP messages
  • INDP messages
  • IMCP messages
B. ICMP messages
10
. If two or more routers are available in distributed routing, which route should be selected
  • High possible cost
  • Least possible cost
  •  Link cost
  • Both b & c
C.  Link cost


MCQs Set 3

  •  Logical ring 
  • Physical ring
  • Both a & b
  • None of these
A.  Logical ring 
10
. A _________ preamble is used to synchronize the receiver’s clock
  • Four-byte
  • Three-byte
  • Two-byte
  • One-byte
D. One-byte

MCQs Set 4
  •  Logical ring 
  • Physical ring
  • Both a & b
  • None of these
A.  Logical ring 
10
. A _________ preamble is used to synchronize the receiver’s clock
  • Four-byte
  • Three-byte
  • Two-byte
  • One-byte
D. One-byte

MCQs Set 5

  •  Logical ring 
  • Physical ring
  • Both a & b
  • None of these
A.  Logical ring 
10
. A _________ preamble is used to synchronize the receiver’s clock
  • Four-byte
  • Three-byte
  • Two-byte
  • One-byte
D. One-byte


MCQs Set 6

  • ipconfig
  • ipconf 
  • ipnum
B. ipconfig
10
. Datagrams using header extension are called __________
  • payload
  • trailer
  • datagram packets
  • jumbograms
D. jumbograms

 

MCQs Set 7
  • synchronization bytes
  • addresses
  •  frame identifier
  • all the above
D. all the above
10
. The ________ model shows how the network functions of a computer ought to be organized.
  • CCITT
  • OSI
  • ISO
  • ANSI
B. OSI

 

MCQs Set 8

  • synchronization bytes
  • addresses
  •  frame identifier
  • all the above
D. all the above
10
. The ________ model shows how the network functions of a computer ought to be organized.
  • CCITT
  • OSI
  • ISO
  • ANSI
B. OSI

 

MCQs Set 9

  • SLIP
  • SMTP
  • PAS
D. PAS
9
. IPV6 has _____ bit addresses.
  • 32
  • 4
  • 128
  • variable
C. 128
10
. In fiber optics,the signal source is ______ waves.
  • light
  • infrared
  • radio
  • very low frequency.
A. light

 

MCQs Set 10

  • SLIP
  • SMTP
  • PAS
D. PAS
9
. IPV6 has _____ bit addresses.
  • 32
  • 4
  • 128
  • variable
C. 128
10
. In fiber optics,the signal source is ______ waves.
  • light
  • infrared
  • radio
  • very low frequency.
A. light

 

10:20:00 AM
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Types of software licenses:

Proprietary license where the copyright stays with the producer and the user is granted the right to use the software


GNU general Public licenses, which are agreements under which “open source” software is usually licensed. It allows end users to change the source code, but the changed code too, must also be made available under a GNU GPL license.


End user license agreement (EULA) indicates the terms under which the end user may use the software.


Workstation licenses are licenses that permit the installation of an application on a single computer. Before installing it on a different machine the software must be removed from the first machine Concurrent use licenses permit the installation of the software onto multiple machines as long as the number of computers using the software at the same time does not exceed the number of licenses purchased.


Site licenses permit the use of software on any computer at a specified site. Unlimited site licenses allow the installation of the software on any number of computers as long as those computers are located a the specified site.



 Perpetual licenses come without an expiry date and allow the software to be used indefinitely



Non-perpetual licenses “lease” the software for use for a specified period of time, usually annually or sometimes bi-annually. Users are required to remove the software from their computer if they cease paying the license fee.


License with Maintenance offer “maintenance” or “software assurance” along with the original license fee.



 



CYBER LAWS


Cyber law is a new branch of law and is growing very fast. It establishes norms of accepted human behavior in cyberspace. There are three basic building blocks of cyber law

Netizens who are the inhabitants of the internet and use it as an extension of their physical world

Cyberspace which is a ‘man made machine world’ reshaping itself periodically.

Technology control the entry to cyberspace, provide access to cyberspace, create the hardware and software which unable people to access cyberspace or Use devices to go ‘online’ and enter cyberspace.

 
Laws governing eCommerce, online contracts, copyright, trademark, business software patenting, e Taxation, e Governance and cyber crimes all fall within the meaning and scope of cyber law.

 


9:18:00 AM

MKRdezign

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