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Total 525 Questions | Updated On: Nov 20, 2024

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Question 1

You need to consider the underlined segment to establish whether it is accurate.

To transform a categorical feature into a binary indicator, you should make use of the Clean Missing Data module.

Select `No adjustment required` if the underlined segment is accurate. If the underlined segment is inaccurate, select the accurate option.

A : No adjustment required.

B : Convert to Indicator Values

C : Apply SQL Transformation

D : Group Categorical Values

Answer: B

Question 2

You need to select an environment that will meet the business and data requirements.

Which environment should you use?

A : Azure HDInsight with Spark MLlib

B : Azure Cognitive Services

C : Azure Machine Learning Studio

D : Microsoft Machine Learning Server

Answer: D

Question 3

You are performing clustering by using the K-means algorithm.

You need to define the possible termination conditions.

Which three conditions can you use? Each correct answer presents a complete solution.

NOTE: Each correct selection is worth one point.

A : A fixed number of iterations is executed.

B : The residual sum of squares (RSS) rises above a threshold.

C : The sum of distances between centroids reaches a maximum.

D : The residual sum of squares (RSS) falls below a threshold.

E : Centroids do not change between iterations.

Answer: A,D

Question 4

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 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 create a model to forecast weather conditions based on historical data.

You need to create a pipeline that runs a processing script to load data from a datastore and pass the processed

data to a machine learning model training script.

Solution: Run the following code:

Does the solution meet the goal?

A : Yes

B : No

Answer: B

Page: 1 / 105

Total 525 Questions | Updated On: Nov 20, 2024

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