ai-200 Practice Question 1993
Exam: ai-200
Domain: Design and prepare a machine learning solution
Topic: Design a machine learning training pipeline
Difficulty: medium
In designing a machine learning training pipeline using Azure Machine Learning Workspaces, you need to ensure that your data is stored in a secure and accessible location. Which Azure service should you use to store your training dataset, and how should it be configured to ensure secure access and efficient data loading into the compute cluster?
Answer Options
A
Azure Files
B
Azure Blob Storage with SAS tokens
C
Azure Table Storage
D
Azure Queue Storage
Correct Answer
B: Azure Blob Storage with SAS tokens
Explanation
The correct answer is to use Azure Blob Storage with SAS (Shared Access Signature) tokens for secure and controlled access. Azure Blob Storage provides a scalable and durable storage solution for large datasets. Using SAS tokens allows you to grant temporary access to specific users or services while maintaining security. Other options like Azure Files or Azure Table Storage may not offer the same level of scalability and performance for large datasets.