Cloud Computing Fundamentals
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Questions and Answers

What is the term for a service model where the provider manages the infrastructure and applications, and the user manages the data?

  • SLA
  • SaaS (correct)
  • IaaS
  • PaaS

Which type of machine learning involves designing algorithms that can learn from data to become more accurate and effective over time?

  • Unsupervised learning
  • Machine learning (correct)
  • Deep learning
  • Supervised learning

What is the term for a deployment model where the infrastructure is shared between multiple organizations?

  • Public
  • Private
  • Community
  • Hybrid (correct)

What is the benefit of cloud computing that reduces the need for hardware and software maintenance?

<p>Managed by the provider (B)</p> Signup and view all the answers

Which type of machine learning involves training models using trial and error, with external interactions and improvement over time?

<p>Reinforcement learning (A)</p> Signup and view all the answers

What is the term for a service level agreement that ensures a certain level of service quality?

<p>SLA (C)</p> Signup and view all the answers

Which cloud computing characteristic allows users to access resources on-demand, without human intervention?

<p>Managed through self-service on demand (B)</p> Signup and view all the answers

What is the term for a type of machine learning that draws inspiration from how the brain works?

<p>Deep learning (C)</p> Signup and view all the answers

What is the primary advantage of scalability in cloud computing?

<p>Improved resource allocation (A)</p> Signup and view all the answers

In machine learning, what is the primary purpose of supervised learning?

<p>To classify data into categories (A)</p> Signup and view all the answers

What is the primary difference between public and private cloud deployment models?

<p>Public clouds are shared between multiple organizations (A)</p> Signup and view all the answers

What is the primary advantage of using service level agreements (SLAs) in cloud computing?

<p>Guaranteed service quality (A)</p> Signup and view all the answers

What is the primary application of reinforcement learning in machine learning?

<p>Gaming and robotics (C)</p> Signup and view all the answers

What is the primary benefit of sustainability in cloud computing?

<p>Reduced energy consumption (A)</p> Signup and view all the answers

What is the primary difference between IaaS and SaaS service models?

<p>IaaS gives users more control over infrastructure (B)</p> Signup and view all the answers

What is the primary purpose of unsupervised learning in machine learning?

<p>To cluster data into groups (A)</p> Signup and view all the answers

What is the primary advantage of network accessibility in cloud computing?

<p>Access to resources on-demand (A)</p> Signup and view all the answers

What is the primary application of deep learning in machine learning?

<p>Image recognition (D)</p> Signup and view all the answers

Study Notes

Cloud Computing

  • Flexible self-service, network-accessible computing resource pools that can be allocated to meet demand.
  • Service models: IaaS, PaaS, SaaS.
  • Deployment models: Private, Public, Hybrid.
  • Benefits:
    • Scalability
    • Storage
    • Security
    • Data-loss prevention
    • Maintenance
    • Pay-per-usage of resources
    • Accessibility
    • Managed by the provider
    • Flexible resource assignment
  • Characteristics:
    • Network accessible
    • Sustainable
    • Managed through self-service on demand
  • SLA: Service Level Agreements

Machine Learning

  • Definition: Process used to achieve artificial intelligence, involving designing algorithms that can learn from data to become more accurate and effective over time.
  • Categories:
    • Supervised learning
    • Unsupervised learning
    • Reinforcement learning
  • Supervision:
    • Classification: yes or no
    • Regression: continuous
    • Clustering: un-supervised
  • Reinforcement learning:
    • Training itself using trial and error
    • Models learn from external interactions and improve with time
  • Applications:
    • Widely used in gaming, robotics, and industrial automation
    • Healthcare and online stock trading
    • Deep learning is a subfield of machine learning, inspired by how the brain works

Cloud Computing

  • Flexible self-service, network-accessible computing resource pools that can be allocated to meet demand.
  • Service models: IaaS, PaaS, SaaS.
  • Deployment models: Private, Public, Hybrid.
  • Benefits:
    • Scalability
    • Storage
    • Security
    • Data-loss prevention
    • Maintenance
    • Pay-per-usage of resources
    • Accessibility
    • Managed by the provider
    • Flexible resource assignment
  • Characteristics:
    • Network accessible
    • Sustainable
    • Managed through self-service on demand
  • SLA: Service Level Agreements

Machine Learning

  • Definition: Process used to achieve artificial intelligence, involving designing algorithms that can learn from data to become more accurate and effective over time.
  • Categories:
    • Supervised learning
    • Unsupervised learning
    • Reinforcement learning
  • Supervision:
    • Classification: yes or no
    • Regression: continuous
    • Clustering: un-supervised
  • Reinforcement learning:
    • Training itself using trial and error
    • Models learn from external interactions and improve with time
  • Applications:
    • Widely used in gaming, robotics, and industrial automation
    • Healthcare and online stock trading
    • Deep learning is a subfield of machine learning, inspired by how the brain works

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Learn about cloud computing's service and deployment models, benefits, and characteristics, including scalability, security, and sustainability.

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