Why containers make ML deployment portable in MLOps - Test Your Understanding

Practice - 5 Tasks

1fill in blank

easy

Complete the code to start a Docker container running an ML model.

MLOps

docker run -d --name ml_model [1] my_ml_image

Drag options to blanks, or click blank then click option'

A-v /data:/data

B-p 5000:5000

C--rm

D-it

Attempts:

3 left

💡 Hint

Common Mistakes

Using -v instead of -p to expose ports.

The -p 5000:5000 option maps the container's port 5000 to the host, allowing access to the ML model service.

2fill in blank

medium

Complete the command to build a Docker image for your ML model.

MLOps

docker build -t [1] .

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Aml_model_image

Brun_ml_model

Cstart_container

Ddeploy_model

Attempts:

3 left

💡 Hint

Common Mistakes

Using a command name instead of an image tag.

The -t flag tags the image with a name, here ml_model_image, which is used to run the container later.

3fill in blank

hard

Fix the error in the Dockerfile line to set the working directory.

MLOps

WORKDIR [1]

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Aapp

Bapp/

C/app

D./app

Attempts:

3 left

💡 Hint

Common Mistakes

Using relative paths instead of absolute paths.

The WORKDIR command requires an absolute path like /app to set the working directory inside the container.

4fill in blank

hard

Fill both blanks to create a dictionary comprehension that maps model names to their versions if version is greater than 1.

MLOps

{model: version [1] model_list if version [2] 1}

Drag options to blanks, or click blank then click option'

Afor

B>

C<

Din

Attempts:

3 left

💡 Hint

Common Mistakes

Using < instead of > in the condition.

The comprehension syntax is {key: value for key, value in iterable if condition}. Here, for and > are needed.

5fill in blank

hard

Fill all three blanks to filter and transform a list of model names to uppercase if they start with 'a'.

MLOps

[[1].upper() for [2] in models if [3].startswith('a')]

Drag options to blanks, or click blank then click option'

Amodel

Bmodels

Dm

Attempts:

3 left

💡 Hint

Common Mistakes

Using different variable names in the loop and condition.

The list comprehension iterates over m in models, filters by m.startswith('a'), and transforms with m.upper().