Update assingment_4.md

assignments/assingment_4.md

@@ -116,9 +116,9 @@ Sample Document:
 
 | Datetime | Temperature | Data quality |
 | -------- | ----------- | ------------ |
-|2019-04-03 00:00:00.000 | 112.4 | good |
-|2019-04-03 01:00:00.000 | 111.32| good |
-|2019-04-03 02:00:00.000 | 114.98| bad  |
+|2022-04-03 00:01:00.000 | 112.4 | good |
+|2022-04-03 00:02:00.000 | 111.32| good |
+|2022-04-03 00:03:00.000 | 114.98| bad  |
 
 ### Tools to use: 
 1. Pycharm / VSCode
@@ -130,7 +130,7 @@ https://kairosdb.github.io/docs/restapi/QueryMetrics.html
 https://pypi.org/project/kairosdb-python/
 
 ________________________________________________________
-## Task 3: Working with MQQT
+## Task 3: Working with MQTT
 
 
 ## Areas covered:
@@ -139,6 +139,7 @@ ________________________________________________________
 ## Description:
 For the above (task 2) given sample 
 
-1. push a sucessful notification to the MQTT for every 5th successful record with "good" 
-2. Save stats (sum, average, latest timepoint) of all above 5 records in a redis seprate Redis DB
-3. An API to fetch the above saved data from redis
+1. Push a message to the MQTT for every 5th successful record with "good" 
+2. Message contains stats (sum, average,  timestamp - latest message) of all above 5 good records
+3. store each aggregation to a separate redis database
+4. develop an API to fetch the above saved data from redis