
ML System Deployment Quiz
Authored by Manicka 2797
Computers
University
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20 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the primary focus of ML in production compared to ML in research?
Improving state-of-the-art models
Enhancing model interpretability
Optimizing, automating, or augmenting a business scenario
Increasing training speed
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In the context of ML, what does 'inference' refer to?
Training the model
Predicting or making a decision using an ML model
Preprocessing data
Evaluating model performance
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following is a deployment target for ML models?
Virtual machines
Containers
Serverless computing
All of the above
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is one advantage of deploying ML models on virtual machines?
No need for infrastructure management
More resource efficiency
Customizable runtime environment
Easy to interpret models
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which tool is commonly used to build and deploy containers?
Docker
Flask
Apache Kafka
Spring Boot
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which deployment method allows for scaling to zero to save computation power?
Virtual machines
Containers
Serverless computing
Model streaming
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is a disadvantage of using serverless computing for ML model deployment?
Requires expertise to manage
Limited to synchronous operations
Potential resource limitations like RAM or disk space
High latency for model inference
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