Azure ML Client Initialization Requirements

DP-100 By islever Editorial Last updated

Short answer

B No

Question

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 the following Azure subscriptions and Azure Machine Learning service workspaces: You need to obtain a reference to the ml-project workspace. Solution: Run the following Python code: Does the solution meet the goal? - Exhibit: Azure ML Client Initialization Requirements - Exhibit: Azure ML Client Initialization Requirements
  1. Yes
  2. No Correct Answer

Key Takeaways

The question tests knowledge of the Azure ML SDK v2 MLClient constructor arguments, specifically highlighting the trap of assuming automatic context detection when explicit parameters are required.

Proper initialization of the Azure Machine Learning client requires explicit subscription identification. Community consensus confirms that omitting the subscription ID leads to instantiation failures.

Common mistake: Selecting 'Yes' by assuming the code works because it imports the correct module, ignoring the mandatory nature of the `subscription_id` parameter in the current SDK version.

Expert Analysis

Why the Answer Is Correct

The solution fails because the MLClient constructor in Azure Machine Learning SDK v2 requires the subscription_id as a primary argument. Without specifying the subscription ID, the client cannot authenticate or locate the specific workspace within the user's Azure environment, resulting in an error.

Why the Other Options Are Wrong

Option A is incorrect because the provided code snippet lacks the necessary subscription identifier. In cloud-based SDKs, ambiguity regarding which subscription to use must be resolved explicitly unless default credentials/context are pre-configured globally, which is not guaranteed in exam scenarios.

Community Comment Notes

Comments consistently support option B, noting that the subscription ID is a critical missing component. One comment explicitly states the need to specify the subscription ID when instantiating the MLClient, aligning with official documentation requirements for credential and resource management.

Official Reference

https://learn.microsoft.com/en-us/python/api/azure-ai-ml/azure.ai.ml.MLClient?view=azure-python#constructor

This link opens the official vendor documentation in a new tab.

Exam Strategy

Always verify required parameters for SDK constructors in Azure certification exams. If a cloud resource reference (like a workspace) is being created, ensure all unique identifiers such as Subscription ID, Resource Group, and Workspace Name are explicitly handled.

Community Votes

B
100%

100% of anonymous learners picked answer B. Votes are pick records left by other test-takers — they are not the verified answer.

Discussion 3 contributions

Compiled from public community threads and reader submissions, lightly edited for clarity. Handles and vote tallies are shown as recorded, and comments reflect the views of individual contributors.

From public community threads 3

  1. sl_mslconsulting 👍 1 Answered B
    Need to specify the subscription id when instantiating the MLClient
  2. Matt2000 👍 1
    Same question as the one before (topic 2, 111).
  3. Techlover74 👍 1 Answered B
    B is correct.

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