Practice DP-100 Exam Online

Question 1

You are using Azure Machine Learning to monitor a trained and deployed model. You implement Event Grid

to respond to Azure Machine Learning events.

Model performance has degraded due to model input data changes.

You need to trigger a remediation ML pipeline based on an Azure Machine Learning event.

Which event should you use?

A : RunStatusChanged

B : DatasetDriftDetected

C : ModelDeployed

D : RunCompleted

Answer: B

Question 2

You build a data pipeline in an Azure Machine Learning workspace by using the Azure Machine Learning SDK for Python.

You need to run a Python script as a pipeline step.

Which two classes could you use? Each correct answer presents a complete solution.

NOTE: Each correct selection is worth one point.

A : PythonScriptStep

B : AutoMLStep

C :

CommandStep

D : RunStep

Answer: C,D

Question 3

You use the Azure Machine Learning SDK to run a training experiment that trains a classification model and

calculates its accuracy metric.

The model will be retrained each month as new data is available.

You must register the model for use in a batch inference pipeline.

You need to register the model and ensure that the models created by subsequent retraining experiments are

registered only if their accuracy is higher than the currently registered model.

What are two possible ways to achieve this goal? Each correct answer presents a complete solution.

NOTE: Each correct selection is worth one point.

A : Specify a different name for the model each time you register it.

B : Register the model with the same name each time regardless of accuracy, and always use the latest version of the model in the batch inferencing pipeline

C : Specify the model framework version when registering the model, and only register subsequent models if this value is higher.

D : Specify a property named accuracy with the accuracy metric as a value when registering the model, and only register subsequent models if their accuracy is higher than the accuracy property value of the currently registered model.

E : Specify a tag named accuracy with the accuracy metric as a value when registering the model, and only register subsequent models if their accuracy is higher than the accuracy tag value of the currently registered model.

Answer: A,C

Question 4

You are profiling mltabte data assets by using Azure Machine Learning studio. You need to detect columns with odd or missing values. Which statistic should you analyze?

A : Profile

B : Std deviation

C : Error count

D : Type

Answer: C

Question 5

You are preparing to train a regression model via automated machine learning. The data available to you has features with missing values, as well as categorical features with little discrete values. You want to make sure that automated machine learning is configured as follows: missing values must be automatically imputed. categorical features must be encoded as part of the training task. Which of the following actions should you take?

A : You should make use of the featurization parameter with the 'auto' value pair.

B : You should make use of the featurization parameter with the 'off' value pair.

C : You should make use of the featurization parameter with the 'on' value pair.

D : You should make use of the featurization parameter with the 'FeaturizationConfig' value pair.

Answer: A

Name:	Microsoft Designing and Implementing a Data Science Solution on Azure
Exam Code:	DP-100
Certification:	Microsoft Azure Data Scientist Associate
Vendor:	Microsoft
Total Questions:	511
Last Updated:	Apr 22, 2024

Microsoft DP-100