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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, Echo, and Echo Dot, which is incorrect?

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

 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

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

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

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

 Athelas is a computer vision based blood testing DL system

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

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

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

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

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

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

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

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

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

 Computer vision and image processing systems have been using DL technology

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

 DL technology is used in advanced handwriting recognition systems

5. 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 reduced need for feature engineering and that they are adaptable to multiple problem domains

 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 cons of DL is the difficulty in interpretation

6. 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

 Legal research and financial services are applications of IBM Watson

 Chatbot and weather forecasting are applications of IBM Watson

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

7. 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

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

 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

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

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

 Make AI do the report writing

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

 Make AI (Artificial Intelligence) do the routine administrative work

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

 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

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

 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

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

 Administrative coordination and control

 Strategy and innovation

 Developing people and engaging with stakeholders

 Solving problems and collaborating

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

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

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

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

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

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

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

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

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

 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)

 Voice Search is a speech recognition system used in Google smartphones

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

 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

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

 Correlate data with previous communications and online activity

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

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

 AI and robotic services will be always available

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

 AI and robotics will result in more jobs

15. 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?

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

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

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

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

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

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

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

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

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

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

 Administrative coordination and control

 Strategy and innovation

 Solving problems and collaborating

 Developing people and engaging with stakeholders

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

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

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

 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)

19. 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

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

 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)

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

 Alexa is used in Echo and Echo Dot

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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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