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ML Model Lifecycle And OperationsmediumMultiple ChoiceObjective-mapped

AI-300 ML Model Lifecycle And Operations Practice Question

You need to ensure that training data is encrypted at rest in the Blob Storage linked to your Azure Machine Learning workspace. How do you ensure this?

Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

Enable encryption at the storage account level.

Azure Storage accounts support Storage Service Encryption (SSE) by default. You can also use Customer-Managed Keys (CMK) for additional control.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Configure the training script to encrypt files.

    Why it's wrong here

    Encryption should be at the infrastructure level.

  • Enable encryption at the storage account level.

    Why this is correct

    This is the standard platform security configuration.

  • Use SSL/TLS for all communication.

    Why it's wrong here

    SSL/TLS is for data in transit, not at rest.

  • Use an encrypted VM for training.

    Why it's wrong here

    This doesn't secure the data in the storage account.

About these practice questions

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JA

Written and reviewed by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

Last reviewed August 2026 · checked against the official Microsoft exam blueprint

This AI-300 practice question is part of Courseiva's free Microsoft certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the AI-300 exam.