DP-420 Question #20: Real Exam Question with Answer & Explanation

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 a container named container1 in an Azure Cosmos DB Core (SQL) API account. You need to make the contents of container1 available as reference data for an Azure Stream Analytics job. Solution: You create an Azure Data Factory pipeline that uses Azure Cosmos DB Core (SQL) API as the input and Azure Blob Storage as the output. Does this meet the goal?

Options

• AYes
• BNo

Explanation

{"question_number": 7, "correct_answer": "B", "explanation": "The answer is No for the same reasons as Question 6. Azure Data Factory, like Azure Synapse Pipelines, is a batch-oriented ETL/ELT orchestration service. While it can copy data from Cosmos DB to Blob Storage, the copy is point-in-time. The resulting Blob data does not continuously reflect changes in the Cosmos DB container. Azure Stream Analytics reference data from Blob Storage requires a specific date/time-parameterized blob path to support refresh, which an ADF pipeline alone does not establish as a live integration. This solution would provide a stale, static snapshot rather than a continuously updated reference dataset. The correct approach involves the Cosmos DB change feed to propagate live changes to a streaming endpoint.", "generated_by": "claude-sonnet", "llm_judge_score": 4}

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