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Microsoft Azure Designing and Implementing a Data Science Solution on Azure

Designing and Implementing a Data Science Solution on Azure

Last Update Oct 15, 2025
Total Questions : 506

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Questions 2

You are creating a new Azure Machine Learning pipeline using the designer.

The pipeline must train a model using data in a comma-separated values (CSV) file that is published on a

website. You have not created a dataset for this file.

You need to ingest the data from the CSV file into the designer pipeline using the minimal administrative effort.

Which module should you add to the pipeline in Designer?

Options:

A.  

Convert to CSV

B.  

Enter Data ManuallyD

C.  

Import Data

D.  

Dataset

Discussion 0
Questions 3

You plan to run a script as an experiment using a Script Run Configuration. The script uses modules from the scipy library as well as several Python packages that are not typically installed in a default conda environment.

You plan to run the experiment on your local workstation for small datasets and scale out the experiment by running it on more powerful remote compute clusters for larger datasets.

You need to ensure that the experiment runs successfully on local and remote compute with the least administrative effort.

What should you do?

Options:

A.  

Create and register an Environment that includes the required packages. Use this Environment for all experiment runs.

B.  

Always run the experiment with an Estimator by using the default packages.

C.  

Do not specify an environment in the run configuration for the experiment. Run the experiment by using the default environment.

D.  

Create a config. yaml file defining the conda packages that are required and save the file in the experiment folder.

E.  

Create a virtual machine (VM) with the required Python configuration and attach the VM as a compute target. Use this compute target for all experiment runs.

Discussion 0
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Questions 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?

Options:

A.  

Profile

B.  

Std deviation

C.  

Error count

D.  

Type

Discussion 0
Questions 5

You need to select a pre built development environment for a series of data science experiments. You must use the R language for the experiments.

Which three environments can you use? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point.

Options:

A.  

MI.NET Library on a local environment

B.  

Azure Machine Learning Studio

C.  

Data Science Virtual Machine (OSVM)

D.  

Azure Data bricks

E.  

Azure Cognitive Services

Discussion 0

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