DP-420 Question #19: 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 Synapse 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": 6, "correct_answer": "B", "explanation": "The answer is No. Azure Stream Analytics supports Blob Storage as a reference data source, but using an Azure Synapse pipeline does not satisfy the requirement in a reliable, continuously updated manner. A Synapse pipeline performs batch copies on a scheduled basis, meaning the Blob Storage snapshot quickly becomes stale between runs. More importantly, Azure Stream Analytics reference data from Blob Storage requires a specific naming pattern with date/time interpolation to refresh automatically. A Synapse pipeline alone does not establish that refresh mechanism, nor does it provide real-time data. The correct architectural pattern for making live Cosmos DB data available to Stream Analytics is through the change feed feeding into a streaming source like Azure Event Hubs (as confirmed by Question 8).", "generated_by": "claude-sonnet", "llm_judge_score": 4}

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