Explanation:
A computer screen shot of a computer code Description automatically generated

BULK Path (first dropdown):
* Correct Option: abfs:
* Since the storage account uses Azure Data Lake Storage Gen2, the abfs:// (Azure Blob File System) protocol is the correct option for accessing the files.
Path to Query Files:
* The path 'abfs://[email protected]/blob1/' specifies the container (blob1) and the folder (csv) within the storage account.
* This ensures that all files in the csv folder and its subfolders are included in the query.
FORMAT (last dropdown):
* Correct Option: 'CSV'
* This indicates that the queried files are in the CSV format, which matches the requirement in the question.

Explanation:

Geo-redundant storage (with GRS or GZRS) replicates your data to another physical location in the secondary region to protect against regional outages. However, that data is available to be read only if the customer or Microsoft initiates a failover from the primary to secondary region. When you enable read access to the secondary region, your data is available to be read at all times, including in a situation where the primary region becomes unavailable.
Reference:
https://docs.microsoft.com/en-us/azure/storage/common/storage-redundancy

Explanation:

Box 1: LAG
The LAG analytic operator allows one to look up a "previous" event in an event stream, within certain constraints. It is very useful for computing the rate of growth of a variable, detecting when a variable crosses a threshold, or when a condition starts or stops being true.
Box 2: LIMIT DURATION
Example: Compute the rate of growth, per sensor:
SELECT sensorId,
growth = reading -
LAG(reading) OVER (PARTITION BY sensorId LIMIT DURATION(hour, 1))
FROM input
Reference:
https://docs.microsoft.com/en-us/stream-analytics-query/lag-azure-stream-analytics