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Applied Big Data and Cloud Computing (21AI62) Module 2 Quiz

Quiz by Ramya k

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15 questions
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  • Q1

    What is cloud-based machine learning?

    Machine learning without any computational resources

    Machine learning algorithms applied to cloud storage

    Machine learning performed on local servers

    The use of cloud computing platforms to develop, train, and deploy machine learning models

    30s
  • Q2

    Which of the following is a major cloud platform used for machine learning?

    Amazon Web Services (AWS)

    Microsoft Azure

    Google Cloud Platform (GCP)

    All of the above

    30s
  • Q3

    What is the primary advantage of cloud-based machine learning for startups?

    High initial investment

    Cost-effectiveness with pay-as-you-go models

    Limited scalability 

    Complex maintenance requirements

    30s
  • Q4

    What does AutoML stand for?

     Autocratic Machine Learning

    Automatic Machine Learning

    Automated Machine Learning

    Autonomous Machine Learning

    30s
  • Q5

    Which of the following is a managed machine learning service?

    PyTorch

    TensorFlow

     Scikit-learn

    Google Cloud AutoML

    30s
  • Q6

    How does cloud-based machine learning enhance collaboration?

    By restricting access to data

    By limiting data sharing

     By providing isolated work environments

    By enabling multiple users to work on projects simultaneously

    30s
  • Q7

    What is a key benefit of cloud-based GPUs for machine learning?

    They slow down model training

    They eliminate the need for data preprocessing

    They speed up the training of machine learning models

    They reduce the cost of cloud storage

    30s
  • Q8

    What role does cloud storage play in machine learning?

    It replaces the need for machine learning models

    It automates data labeling

    It provides scalable and reliable storage for large datasets

    It reduces the complexity of algorithms

    30s
  • Q9

    How do cloud platforms ensure the security of machine learning data?

    By storing data in plaintext

    By preventing data access altogether

    By providing robust encryption and access controls

    By limiting data size

    30s
  • Q10

    What is the significance of APIs in cloud-based machine learning?

    They are irrelevant to machine learning

    They complicate the deployment process

    They replace the need for data scientists

    They facilitate integration of machine learning functionalities into applications

    30s
  • Q11

    What type of machine learning models can benefit from cloud-based GPUs?

    Linear regression models

    Simple decision trees

    K-means clustering models

    Deep learning models

    30s
  • Q12

    What is a common feature of cloud-based machine learning services?

    Manual resource allocation

    Local-only access

    Automated scaling

    Fixed pricing models

    30s
  • Q13

    What is Aneka primarily used for?

    Web development

    Data entry

    Mobile app development

    Cloud computing and distributed application development

    30s
  • Q14

    Which programming models does Aneka support?

     Only thread-based

     Only MapReduce

    Only task-based

    Task-based, thread-based, and MapReduce

    30s
  • Q15

    What kind of middleware does Aneka provide?

    Network middleware

    Database middleware

    Cloud application middleware

    Web server middleware

    30s

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