Question 1

You are creating a new experiment in Azure Machine Learning Studio. You have a small dataset that has

missing values in many columns. The data does not require the application of predictors for each column. You

plan to use the Clean Missing Data module to handle the missing data.

You need to select a data cleaning method.

Which method should you use?

Options :

A : Synthetic Minority Oversampling Technique (SMOTE)

B : Replace using MICE

C : Replace using; Probabilistic PCA

D : Normalization

Answer: C

Question 2

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 3

You are a data scientist creating a linear regression model.

You need to determine how closely the data fits the regression line.

Which metric should you review?

Options :

A : Coefficient of determination

B : Recall

C : Precision

D : Mean absolute error

E : Root Mean Square Error

Answer: A

Question 4

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 have a Python script named train.py in a local folder named scripts. The script trains a regression model

by using scikit-learn. The script includes code to load a training data file which is also located in the scripts

folder.

You must run the script as an Azure ML experiment on a compute cluster named aml-compute.

You need to configure the run to ensure that the environment includes the required packages for model

training. You have instantiated a variable named aml-compute that references the target compute cluster.

Solution: Run the following code:

Does the solution meet the goal?

Options :

A : Yes

B : No

Answer: A

Question 5

You write five Python scripts that must be processed in the order specified in Exhibit A – which allows the

same modules to run in parallel, but will wait for modules with dependencies.

You must create an Azure Machine Learning pipeline using the Python SDK, because you want to script to

create the pipeline to be tracked in your version control system. You have created five PythonScriptSteps and

have named the variables to match the module names.

You need to create the pipeline shown. Assume all relevant imports have been done.

Which Python code segment should you use?

Options :

A :

B :

C :

D :

Answer: A

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