You are creating an IoT solution using Azure Time Series Insights.
You configure the environment to ensure that all data for the current year is available.
What should you do?
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A. B. C. D.D
The correct answer is B. Set a value for the Data retention time setting.
Azure Time Series Insights is a Platform-as-a-Service (PaaS) offering that enables users to store, visualize, and query large amounts of time-series data from IoT devices. When configuring an environment for an IoT solution using Azure Time Series Insights, one of the key considerations is data retention, which refers to how long data is stored before it is deleted.
To ensure that all data for the current year is available, the data retention time setting must be configured appropriately. This setting determines how long data is stored in the Time Series Insights environment before it is automatically deleted. By setting the data retention time to at least one year, all data for the current year will be available for analysis and querying.
The other options listed are not directly related to ensuring that all data for the current year is available in Azure Time Series Insights. Adding a disaster recovery (DR) strategy is important to ensure that the environment can be restored in the event of an outage, but it does not impact data retention. Changing the pricing tier affects the performance and scalability of the environment, but does not impact data retention. Creating a reference data set is useful for organizing and labeling data, but does not impact data retention.