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?

Options :

A : RunStatusChanged

B : DatasetDriftDetected

C : ModelDeployed

D : RunCompleted

Answer: B

Question 2

You create a classification model with a dataset that contains 100 samples with Class A and 10,000 samples

with Class B

The variation of Class B is very high.

You need to resolve imbalances.

Which method should you use?

Options :

A : Partition and Sample

B : Cluster Centroids

C : Tomek links

D : Synthetic Minority Oversampling Technique (SMOTE)

Answer: D

Question 3

You define a datastore named ml-data for an Azure Storage blob container. In the container, you have a folder

named train that contains a file named data.csv. You plan to use the file to train a model by using the Azure

Machine Learning SDK.

You plan to train the model by using the Azure Machine Learning SDK to run an experiment on local

compute.

You define a DataReference object by running the following code:

You need to load the training data.

Which code segment should you use?

Options :

A :

B :

C :

D :

E :

Answer: E

Question 4

You create an Azure Machine Learning compute resource to train models. The compute resource is configured

as follows:

Minimum nodes: 2

Maximum nodes: 4

You must decrease the minimum number of nodes and increase the maximum number of nodes to the

following values:

Minimum nodes: 0

Maximum nodes: 8

You need to reconfigure the compute resource.

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

NOTE: Each correct selection is worth one point.

Options :

A : Use the Azure Machine Learning studio.

B : Run the update method of the AmlCompute class in the Python SDK.

C : Use the Azure portal.

D : Use the Azure Machine Learning designer.

E : Run the refresh_state() method of the BatchCompute class in the Python SDK

Answer: A,B,C

Question 5

Note: This question is part of a series of questions that present the same scenario. Each question in the series

contains a unique solution that might meet the stated goals. Some question sets might have more than one

correct solution, while others might not have a correct solution.

After you answer a question in this section, you will NOT be able to return to it. As a result, these questions

will not appear in the review screen.

You are a data scientist using Azure Machine Learning Studio.

You need to normalize values to produce an output column into bins to predict a target column.

Solution: Apply an Equal Width with Custom Start and Stop binning mode.

Does the solution meet the goal?

Options :

A : Yes

B : No

Answer: B

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