Data Science

Looking to challenge your understanding of deep learning? Our MCQS Deep Learning Quiz is the perfect way to test your knowledge! This online quiz features carefully crafted multiple-choice questions (MCQs) covering essential topics like business strategy neural networks (NN), convolutional neural networks (CNNs), recurrent neural networks (RNNs), optimization techniques, and more. Whether you are a beginner or an advanced learner, the MCQs Deep Learning Quiz helps you assess your skills, identify areas for improvement, and solidify your understanding of deep learning concepts. Dive in now and see how well you know the world of AI and machine learning! Let us start with the MCQs Deep Learning Quiz now.

Online MCQs Deep Learning with Answers

1. Among the following statements on Amazon Alexa, which is incorrect?

 Alexa is a cloud based AI (Artificial Intelligence) personal assistant

 Alexa is used in Echo but not for the smaller and cheaper model Echo Dot

 Alexa uses LSTM (Long Short-Term Memory) RNN (Recurrent Neural Network) technology

 After Echo sends the user’s request to the ASP (Alexa Service Platform), a JSON (JavaScript Object Notation) text document is made at the ASP and is sent to the corresponding Skill on the Alexa cloud

2. Among the following statements on IBM Watson, which is incorrect?

 DeepQA includes functionalities such as IR (Information Retrieval), NLP (Natural-Language Processing), and KR&R (Knowledge Representation & Reasoning)

 AdaptWatson is the AI (Artificial Intelligence) algorithm used in Watson that works with the DeepQA question and answering system

 Watson’s Chatbot is a physician assisting system to help reduce diagnostic errors while informing new treatment methods

 IMB Watson’s cancer diagnosis capability was tested in India, which resulted in a very high concordance rate

3. Among the following statements on DL (Deep Learning) applications, which is incorrect?

 Google’s Voice Search is a DL automated program code generation system

 Samsung’s S Voice is a DL speech recognition system used on smartphones

 Computer vision and image processing systems have been using DL technology

 DL technology is used in advanced handwriting recognition systems

4. Among the following statements on DL (Deep Learning) systems, which is incorrect?

 Athelas is a computer vision based blood testing DL system

 Apple’s HomePod speaker will be capable of voice recognition to assist music playing and information retrieval

 AIVA (Artificial Intelligence Virtual Artist) draws oil painting type classical art pieces based on user selected famous artist styles

 LettuceBot is capable of distinguishing lettuce sprouts and weeds, and can correspondingly apply fertilizers or herbicides using DL (Deep Learning) technology

5. Which of the following is not a method of how ML & DL can be used in CRM (Customer Relationship Management)?

 Correlate data with previous communications and online activity

 The manager should setup meetings to meet all customers personally and discuss management relations

 Build a labelled dataset of customer sales records of up-sell, cross-sell, postponed, and withdrew transactions

 Correlate data with other customers based on age, gender, occupation, as well as living and working regions

6. Among the following statements on the pros and cons of DL (Deep Learning), which is incorrect?

 One of the pros of DL systems is the cheap cost

 One of the cons of DL systems is the long training time

 One of the pros of DL systems is the reduced need for feature engineering and that they are adaptable to multiple problem domains

 One of the cons of DL is the difficulty in interpretation

7. Among the following statements on IR (Industrial Revolutions), which is incorrect?

 2IR was from 1870 to WWI (World War I) in 1914 in America, Europe, Japan, and other countries

 3IR is called the “Digital Revolution” due to driving technologies which include the Internet, ICT (Information & Communications Technology), and the PC (Personal Computer)

 3IR was from the 1980s to 2000 and had a World-Wide influence

 1IR occurred during the 18th to 19th centuries in Europe and America

8. Among the following statements on IBM Watson, which is incorrect?

 Concordance Watson is a new popularity rate control monitoring system used by TV broadcast companies

 Watson for Oncology is a physician assisting system to help reduce diagnostic errors while informing new treatment methods

 Chatbot and weather forecasting are applications of IBM Watson

 Legal research and financial services are applications of IBM Watson

9. Among the following statements on IBM Watson, which is incorrect?

 DeepQA includes functionalities such as IR (Information Retrieval), NLP (Natural-Language Processing), and KR&R (Knowledge Representation & Reasoning)

 AdaptWatson and DeepQA are not used together in IBM Watson because they are the same system with different release version names

 Watson uses the DeepQA architecture for QA (Question-Answering) processing

 AdaptWatson is the AI algorithm used in Watson that performs question understanding and candidate answer searching

10. Which of the following commonly consumes the most significant amount of time in the administration management workload?

 Developing people and engaging with stakeholders

 Administrative coordination and control

 Solving problems and collaborating

 Strategy and innovation

11. Among the following statements on Amazon Alexa, which is incorrect?

 Alexa uses ML (Machine Learning) techniques to continuously get smarter

 Alexa is used in Echo and Echo Dot

 Since Alexa is fully installed on Echo, no network connection for Echo is required to receive Alexa services

 Alexa’s voice is generated from a LSTM (Long Short-Term Memory) RNN (Recurrent Neural Network)

12. Which of the following is not a commonly expected phenomenon or characteristic of the influence of AI (Artificial Intelligence) on business?

 AI and robotics will result in more jobs

 AI and robotic services will be always available

 Customization of the AI system to the company characteristics, business data, and context is important

 Data protection is critical because AI accuracy is based on the data set used in training the AI system

13. Which of the following is not a recommended way to prepare for the ML (Machine Learning) business era?

 Save as much money as possible and retire before the ML era begins

 Make AI do the report writing

 Make AI (Artificial Intelligence) do the routine administrative work

 You do the decision making and judgment work based on ML analyzed information

14. What is not a good way to become a leader in teaching and advising on how to effectively use ML (Machine Learning) to improve in business?

 Remove the influence of ML related aspects in creative thinking and innovative designing

 Coach more efficient activities and people development skills and team work collaboration

 Try to add more effective social networking skills to contribute to the ML advised new business plan

 Develop new KPIs (Key Performance Indicators) that will enable more effective in ML adoption into the company’s business structure

15. Which of the following areas could be improved the most due to ML (Machine Learning) & DL (Deep Learning) technology?

 Solving problems and collaborating

 Developing people and engaging with stakeholders

 Administrative coordination and control

 Strategy and innovation

16. Among the following statements on Amazon Alexa, Echo, and Echo Dot, which is incorrect?

 Alexa uses advanced ASR (Automated Speech Recognition) and NLU (Natural Language Understanding) technology

 ASP (Alexa Service Platform) uses a DL (Deep Learning) speech recognition engine to detect words of intent and parameters

 JSON (JavaScript Object Notation) text document is executed inside Echo to create a new Skill for Alexa

 Alexa’s Skills can be created for Echo and Echo Dot using the ASK (Alexa Skills Kit) Developer kit

17. Among the following statements on DL (Deep Learning) systems and applications, which is incorrect?

 Athelas is a DL based sports robotic system used in athlete training

 Voice Search is a speech recognition system used in Google smartphones

 LettuceBot uses DL (Deep Learning) to plant lettuce seeds with optimal spacing and conduct automatic fertilizer and herbicide spraying

 AIVA (Artificial Intelligence Virtual Artist) is a classical music composing DL system that is the first to be registered as a composer in the Authors’ right Society SACEM (Société des auteurs, compositeurs et éditeurs de musique)

18. Among the following statements on IR (Industrial Revolutions), which is incorrect?

 Third IR is also called the “digital revolution” due to significant advancements in digital electronics and ICT (Information & Communications Technology) technology

 Second IR started in 1870 and ended right before World War II

 
Future IR will be highly influenced by DL (Deep Learning) and ML (Machine Learning) technology

 First IR driving technologies include the iron industry, steam engine, and the textile industry

 Second IR was based on mass production due to new technologies based on electric power, oil, and steel

19. Among the following application areas corresponding to data types that are used in businesses with DL (Deep Learning) and ML (Machine Learning) technology, which is incorrect?

 Threat detection systems deployed government facilities use real-time processing DL & ML technology

 Human sentiment is too complex and obscure to detect, which makes it hard to use in business sales or CRM (Customer Relationship Management)

 Motion detection DL & ML technology is used in games and robotics

 Theme detection DL & ML technology is used in finance estimation and prediction systems

20. Which of the following is not a commonly expected phenomenon or characteristic of the influence of AI (Artificial Intelligence) on business?

 AI services will not be always available, so efficient time sharing among users is needed

 AI and robotics will result in lesser jobs

 Data protection is critical because AI accuracy is based on the data set used in training the AI system

 Customization of the AI system to the company characteristics, business data, and context is important

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Online MCQs Deep Learning Quiz with Answers

• Among the following statements on IR (Industrial Revolutions), which is incorrect?
• Among the following statements on DL (Deep Learning) systems and applications, which is incorrect?
• Among the following statements on IBM Watson, which is incorrect?
• Among the following statements on Amazon Alexa, which is incorrect?
• Among the following statements on IR (Industrial Revolutions), which is incorrect?
• Among the following statements on DL (Deep Learning) applications, which is incorrect?
• Among the following statements on IBM Watson, which is incorrect?
• Among the following statements on IBM Watson, which is incorrect?
• Among the following statements on Amazon Alexa, which is incorrect?
• Among the following statements on Amazon Alexa, Echo, and Echo Dot, which is incorrect?
• Among the following statements on DL (Deep Learning) systems, which is incorrect?
• Which of the following areas could be improved the most due to ML (Machine Learning) & DL (Deep Learning) technology?
• Which of the following is not a commonly expected phenomenon or characteristic of the influence of AI (Artificial Intelligence) on business?
• Among the following statements on the pros and cons of DL (Deep Learning), which is incorrect?
• Among the following application areas corresponding to data types that are used in businesses with DL (Deep Learning) and ML (Machine Learning) technology, which is incorrect?
• Which of the following commonly consumes the most significant amount of time in the administration management workload?
• Which of the following is not a commonly expected phenomenon or characteristic of the influence of AI (Artificial Intelligence) on business?
• Which of the following is not a recommended way to prepare for the ML (Machine Learning) business era?
• Which of the following is not a method of how ML & DL can be used in CRM (Customer Relationship Management)?
• What is not a good way to become a leader in teaching and advising on how to effectively use ML (Machine Learning) to improve in business?

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