You create an Azure Time Series Insights event handler. You need to send data over the network as efficiently as possible and optimize query performance.
What should you do?
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A. B. C. D.D
https://docs.microsoft.com/en-us/azure/time-series-insights/how-to-shape-query-jsonWhen creating an Azure Time Series Insights event handler, optimizing data transfer and query performance are critical to ensuring efficient operation. The following are the options to optimize data transfer and query performance:
A. Create a query plan Creating a query plan is an essential step to optimize query performance. This will help to determine which queries are most frequently run and which ones have the longest execution times. Once the queries have been identified, the plan can be used to optimize query performance, such as creating appropriate indexes, partitioning tables, and tuning the query.
B. Send all properties Sending all properties over the network may lead to inefficiencies and increased data transfer costs, especially when dealing with large datasets. It is recommended to only send the necessary properties over the network to reduce data transfer and storage costs.
C. Use a Tag ID Using a Tag ID can help to optimize query performance by allowing you to retrieve specific data based on the tag identifier rather than using the entire payload. This can be particularly useful when dealing with large data sets or frequently queried data.
D. Use reference data Using reference data can help to optimize query performance by reducing data transfer costs and query times. Reference data is a set of static data used to provide additional context or metadata to your time series data. By referencing this data, you can avoid sending it over the network with each query, thus reducing data transfer costs and query times.
In conclusion, to send data over the network as efficiently as possible and optimize query performance, you should create a query plan, only send necessary properties over the network, use a tag ID, and use reference data.