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Exam AI-100 topic 1 question 8 discussion

Actual exam question from Microsoft's AI-100

Question #: 8
Topic #: 1

You plan to design an application that will use data from Azure Data Lake and perform sentiment analysis by using Azure Machine Learning algorithms.
The developers of the application use a mix of Windows- and Linux-based environments. The developers contribute to shared GitHub repositories.
You need all the developers to use the same tool to develop the application.
What is the best tool to use? More than one answer choice may achieve the goal.

A. Microsoft Visual Studio Code
B. Azure Notebooks
C. Azure Machine Learning Studio
D. Microsoft Visual Studio

Show Suggested Answer

Suggested Answer: C 🗳️
References:
https://github.com/MicrosoftDocs/azure-docs/blob/master/articles/machine-learning/studio/algorithm-choice.md

by granota at July 31, 2019, 12:41 p.m.

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VinayC

Highly Voted 5 years, 5 months ago

Azure Machine Learning Studio is the correct answer. Azure Machine Learning Studio (classic) can read data directly from Azure Data Lake Store and then be used to create and deploy models. This approach uses a Hive table that points at the Azure Data Lake Store. This requires that a separate Azure HDInsight cluster be provisioned, on which the Hive table is created. Refer the following url: https://docs.microsoft.com/en-us/azure/machine-learning/team-data-science-process/data-lake-walkthrough

upvoted 19 times

Exposer

5 years, 5 months ago

How can you contribute to GitHub using the Azure ML?

upvoted 1 times

junkz

5 years, 3 months ago

technically, you have a Download button for every notebook you create in ML studio. the text only mentions that the notebooks need to be shared, not through which mechanism. so although VS code could also be an option, this would require them to also install it accordingly. and because the questions states at the end that more than one choice can achieve the goal, i think it's safe to end the debate by choosing either VScode or MLS as only viable options from the 4, and i think you will be scored correct on either one

upvoted 3 times

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T0p1cs

Highly Voted 5 years, 8 months ago

I think that the answer is Visual Studio Code. https://code.visualstudio.com/docs

upvoted 13 times

awron_durat

4 years, 5 months ago

VS Code is also available for both Windows and Linux.

upvoted 1 times

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rveney

Most Recent 1 year, 11 months ago

To ensure that all developers, regardless of their operating system, can collaborate on developing the application and perform sentiment analysis using Azure Machine Learning algorithms, the best tool to use would be A. Microsoft Visual Studio Code.

upvoted 1 times

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ExamGuruBhai

2 years, 10 months ago

Visual Studio Code as it's talking about GitHub

upvoted 1 times

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[Removed]

4 years, 2 months ago

It is indeed a tricky question but AZ ML Studio is the correct option because it provide a common development place where you can find all the required ML development resources e.g., Notebook, Compute and Data Connectivity to different data sources.

upvoted 2 times

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ayush_singh

4 years, 3 months ago

I think ML Studion is Correct.

upvoted 2 times

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aitruthseeker

4 years, 5 months ago

Everyone focuses on the sharing the notebook on GitHub, missing rest of the details. The important detail here is to use existing ML Algorithms and connecting to Azure Data Lake for data, which is also available. I don't know why people said it is not available. Check this link: https://docs.microsoft.com/en-us/azure/machine-learning/how-to-access-data

upvoted 2 times

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09012020

4 years, 6 months ago

Answer is D Visual Studio Code Tools for AI: This service is an extension of Visual Studio Code (VS Code) — a desktop source code editor for Windows, macOS and Linux — that helps developers create scripts and gather metrics for Azure Machine Learning experiments. Azure Machine Learning Studio: This is a visual, drag-and-drop tool designed to help users build and deploy predictive analysis models with no coding required. https://medium.com/@ahmedkhemiri24/microsoft-azure-machine-learning-d148478e867c

upvoted 1 times

hved

4 years, 5 months ago

So based on your explanation, ans shouuld be A, correct?

upvoted 2 times

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sayak17

4 years, 8 months ago

currently Azure ML Studio supports import from Data Lake also using the designer https://docs.microsoft.com/en-us/azure/machine-learning/algorithm-module-reference/import-data

upvoted 1 times

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Nova077

4 years, 9 months ago

the url in the answer is obviously broken

upvoted 2 times

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ritam2709

4 years, 11 months ago

Why not Azure Notebooks? I think the perfect answer is VS Code. Apart from that we can use AZURE ML Studio and Azure Notebooks as well.

upvoted 1 times

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av6054

4 years, 11 months ago

Clearly the question says "More than one answer choice may achieve the goal" - It would be either MLS or VS.

upvoted 5 times

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Ubaid

5 years, 5 months ago

Machine learning studio doesn't make any sense because the scenario is about sharing code and ML studio doesn't have any code or sharing with GitHub. Visual Studio is not an option because of Windows dependency. Azure Notebooks and VS Code are two suitable options. I am a little biased towards VSCode

upvoted 7 times

Exposer

5 years, 5 months ago

I think it's VS Code. You are right.

upvoted 1 times

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granota

5 years, 10 months ago

Wouldn't Azure Notebooks make more sense as Azure Machine Learning Studio does not have an import data function for Data Lake yet...

upvoted 3 times

CodeAnant

5 years, 9 months ago

I think u r correct.... as Machine Learning Studio does not have an import data function for Data Lake https://docs.microsoft.com/en-us/azure/machine-learning/studio/what-is-ml-studio

upvoted 1 times

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