DP-100 Question #249: Real Exam Question with Answer & Explanation

The correct answer is D: properties. {"question_number": 10, "correct_answer": "D", "explanation": "NOTE: The marked correct answer (D - properties) conflicts with Azure ML SDK documentation. In Azure ML, 'properties' are immutable key-value pairs set at registration time that cannot be modified or deleted afterward

Train and deploy models

Question

You are planning to register a trained model in an Azure Machine Learning workspace. You must store additional metadata about the model in a key-value format. You must be able to add new metadata and modify or delete metadata after creation. You need to register the model. Which parameter should you use?

Options

Adescription
Ctags
Dproperties

Explanation

{"question_number": 10, "correct_answer": "D", "explanation": "NOTE: The marked correct answer (D - properties) conflicts with Azure ML SDK documentation. In Azure ML, 'properties' are immutable key-value pairs set at registration time that cannot be modified or deleted afterward - they are read-only after creation. 'Tags' (Option C) are mutable key-value pairs that can be added, updated, or deleted after model registration. Since the requirement explicitly states the ability to 'add new metadata and modify or delete metadata after creation,' tags (C) is the technically correct parameter. If this answer key is authoritative for your exam, memorize D - but know that in practice, tags are the mutable metadata store and properties are the immutable audit trail for Azure ML models.", "generated_by": "claude-sonnet", "llm_judge_score": 4}

Topics

#Model registration#Azure Machine Learning#Metadata management#Model properties

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