Exam DP-100 topic 3 question 151 discussion

Actual exam question from Microsoft's DP-100

Question #: 151
Topic #: 3

HOTSPOT
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You create an Azure Machine Learning workspace.

You must use the Python SDK v2 to implement an experiment from a Jupyter notebook in the workspace. The experiment must log a table in the following format:

table = {
"col1" : [1, 2, 3],
"col2" : [4, 5, 6]
)

You need to complete the Python code to log the table.

How should you complete the code? To answer, select the appropriate options in the answer area.

NOTE: Each correct selection is worth one point.

Show Suggested Answer

Suggested Answer:

by BR_CS at Aug. 17, 2023, 11:12 a.m.

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BR_CS

Highly Voted 1 year, 4 months ago

The code makes no sense at all.

upvoted 6 times

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sl_mslconsulting

Most Recent 6 months, 3 weeks ago

You opened a file for write. It can't be "load" function. import json import mlflow data = { "col1" : [1, 2, 3], "col2" : [4, 5, 6] } filename = 'data.json' with open(filename, 'w') as f: json.dump(data, f) mlflow.log_artifact(filename)

upvoted 4 times

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gracel11

7 months, 2 weeks ago

The first one should be json.load() json.load() : read JSON data from a file and convert it into a dictionary. json.dump(): used for writing the Python object i.e. dict to JSON file.

upvoted 1 times

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Ran2025

1 year, 1 month ago

I think the first answer is 'load'. json.dump(object, file)

upvoted 1 times

Ran2025

1 year, 1 month ago

the second is 'log_artifact' https://learn.microsoft.com/en-us/azure/machine-learning/how-to-log-view-metrics?view=azureml-api-2&tabs=interactive

upvoted 1 times

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