Exam DP-100 topic 4 question 29 discussion

Actual exam question from Microsoft's DP-100

Question #: 29
Topic #: 4

HOTSPOT -
You create an Azure Machine Learning workspace.
You need to detect data drift between a baseline dataset and a subsequent target dataset by using the DataDriftDetector class.
How should you complete the code segment? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Hot Area:

Show Suggested Answer

Suggested Answer:

Box 1: create_from_datasets -
The create_from_datasets method creates a new DataDriftDetector object from a baseline tabular dataset and a target time series dataset.

Box 2: backfill -
The backfill method runs a backfill job over a given specified start and end date.
Syntax: backfill(start_date, end_date, compute_target=None, create_compute_target=False)
Incorrect Answers:
List and update do not have datetime parameters.
Reference:
https://docs.microsoft.com/en-us/python/api/azureml-datadrift/azureml.datadrift.datadriftdetector(class)

by Tsardoz at Jan. 15, 2022, 11:54 a.m.

Comments

Submit Cancel

AjoseO

Highly Voted 2 years, 9 months ago

On Exam: 03 March 2022

upvoted 5 times

...

Lion007

Most Recent 11 months, 1 week ago

Given answer is correct: create_from_datasets and backfill # Instantiate a DataDriftDetector object with the necessary parameters for data drift detection monitor = DataDriftDetector.create_from_datasets(ws, 'drift-monitor', baseline, target, compute_target='cpu-cluster', frequency='Week', feature_list=None, drift_threshold=6, latency=24) # Run the data drift analysis over the specified time period from the start date to today complete = monitor.backfill(datetime(2021, 1, 1), datetime.today())

upvoted 1 times

...

james2033

1 year, 1 month ago

azureml.datadrift.DataDriftDetector.backfill() --> Run a backfill job over a given specified start and end date. azureml.datadrift.DataDriftDetector.create_from_dataset() --> Create a new DataDriftDectector object from baseline tabular dataset and set a target time series dataset. https://learn.microsoft.com/en-us/python/api/azureml-datadrift/azureml.datadrift.datadriftdetector.datadriftdetector?view=azure-ml-py#methods choose 1) create_from_datasets(...) 2) backfill(...) . Very clear.

upvoted 1 times

...

Tsardoz

2 years, 10 months ago

Agree with answer.

upvoted 4 times

...