How should you modify the query?

HOTSPOT
Your company has several thousand sensors deployed.
You have a Microsoft Azure Stream Analytics job that receives two data streams Input1 and Input2 from an Azure event hub. The data streams are portioned by using a column named SensorName. Each sensor is identified by a field named SensorID.
You discover that Input2 is empty occasionally and the data from Input1 is ignored during the processing of the Stream Analytics job.
You need to ensure that the Stream Analytics job always processes the data from Input1.
How should you modify the query? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Hot Area:

Correct Answer:

Explanation/Reference:
Explanation:
Box 1: LEFT OUTER JOIN LEFT OUTER JOIN specifies that all rows from the left table not meeting the join condition are included in the result set, and output columns from the other table are set to NULL in addition to all rows returned by the inner join.
Box 2: ON I1.SensorID= I2.SensorID
References: https://docs.microsoft.com/en-us/stream-analytics-query/join-azure-stream-analytics