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Answer: All of the above.
When selecting a database template for a specific use case, it is important to consider multiple factors. The size of the data and the complexity of the queries (Option A) will determine the required processing power and storage capacity. The cost of the database template and the performance requirements (Option B) will impact the overall budget and the system's responsiveness. The compatibility of the database template with existing data sources and tools (Option C) ensures seamless integration and reduces the need for additional modifications. Therefore, all of these considerations are important, making Option D the correct answer.
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As a Microsoft Azure Data Engineer Associate, you are responsible for recommending and implementing Azure Synapse Analytics database templates. What are the key considerations when selecting a database template for a specific use case?
A
The size of the data and the complexity of the queries.
B
The cost of the database template and the performance requirements.
C
The compatibility of the database template with the existing data sources and tools.
D
All of the above.
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