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?
A.
Add a disaster recovery (DR) strategy.
B.
Set a value for the Data retention time setting.
Answer is B
Each of your Azure Time Series Insights environments has a setting that controls Data retention time. The value spans from 1 to 400 days. The data is deleted based on the environment storage capacity or retention duration, whichever comes first.
Ref: https://docs.microsoft.com/en-us/azure/time-series-insights/time-series-insights-concepts-retention
Disagree with answer as B -- I think it is D. Key phrase is "current data" ref. https://docs.microsoft.com/en-us/azure/time-series-insights/time-series-insights-add-reference-data-set:
"only current and future ingress data is matched and joined to the reference date set, once it has been configured and uploaded"
The task is to "...configure the environment to ensure that all data for the current year is available" , creating a data set does not accomplish this, the key here is to ensure you have a full years worth of data....to do this you need to update the data retention...hence B is the next step.
I have some second thoughts on B, because as the question implies the configuration should somehow be "dynamic" (current year), if you set the retention to a fix number of days, it is still only "static" to the timestamp the data comes in. Is there a possibility of using the reference table as a dynamic filter?
Answer B
In order to ensure the data available for an year. We need to set the value of "Data retention setting" to 365 Days (It allows between 1 to 400 Days).
https://docs.microsoft.com/en-us/azure/time-series-insights/time-series-insights-how-to-scale-your-environment.
Answer is B, because, if we don't change the retention setting, default value is 30 days.
------------------------------------------------
Purge old data is the default setting for Azure Time Series Insights environments.
Purge old data is preferred when users want to always have their most recent data in their Time Series Insights environment.
The Purge old data setting purges data once the environment’s limits (retention time, size, or count, whichever comes first) are reached. Retention is set to 30 days by default.
The oldest ingested data is purged first (the "First In First Out" approach).
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