In the context of deployment, Docker is mainly used for:

Packaging applications into containers

What is the role of Azure Application Insights in deployment?

Monitoring and visualizing application performance

What is the purpose of Flask in model deployment?

To create a web interface for the model

What is the main goal of model deployment in data science?

To make predictions available for real-world use

What does ‘latency’ refer to in model deployment?

The time taken to generate a prediction

Which of the following best ensures a model remains useful in production over time?

Regular monitoring and maintenance

Which of the following is a correct description of a Docker container?

An isolated environment to run packaged applications

What is a Dockerfile used for?

Instructions to build a Docker image

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Model Deployment

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Questions 10

Answers

1
In the context of deployment, Docker is mainly used for:
Packaging applications into containers
Visualizing training data
Debugging Python code
Building front-end dashboards
2
What is the role of Azure Application Insights in deployment?
Monitoring and visualizing application performance
Sending email alerts for model updates
Encrypting model predictions
Retraining the model with new data
3
What is the purpose of Flask in model deployment?
To store datasets in the cloud
To train deep learning models
To monitor GPU usage
To create a web interface for the model
4
Which Python SDK helps integrate Flask applications with Azure Application Insights?
FlaskMonitor
OpenCensus
Pandas
Matplotlib
5
What is the main goal of model deployment in data science?
To select the best machine learning algorithm
To visualize training data
To clean the dataset
To make predictions available for real-world use
6
What does ‘latency’ refer to in model deployment?
The training time of the model
The time taken to generate a prediction
The accuracy of predictions
The size of the training dataset
7
Which of the following best ensures a model remains useful in production over time?
Regular monitoring and maintenance
Static model architecture
Using large datasets only
Feature scaling
8
Which of the following is a correct description of a Docker container?
A security patch for Python applications
A programming language for model development
A repository for SQL queries
An isolated environment to run packaged applications
9
What is a Dockerfile used for?
A configuration file for Azure Monitor
A log file for Python exceptions
A list of Flask routes
Instructions to build a Docker image
10
Which of the following is NOT a typical deployment criterion for a machine learning model?
Hyperparameter tuning
Scalability
Robustness
Portability

Model Deployment Flashcards | StudBud