Applied Big Data and Cloud Computing (21AI62) Module 2 Quiz
Quiz by Ramya k
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includes Teacher and Student dashboards
Measure skillsfrom any curriculum
Tag the questions with any skills you have. Your dashboard will track each student's mastery of each skill.
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- save a copy for later
- start a class game
- automatically assign follow-up activities based on students’ scores
- assign as homework
- share a link with colleagues
- print as a bubble sheet
- 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