You want a Lambda function to process DynamoDB stream events and update a separate 'Analytics' table with counts of new items added. Which approach correctly handles this?

hard🚀 Application Q8 of 15

DynamoDB - with Serverless

AUpdate the 'Analytics' table only when the Lambda is manually triggered

BScan the entire DynamoDB table inside Lambda and count items each time

CIn the Lambda, iterate over event.Records, check eventName 'INSERT', then increment count in 'Analytics' table

DUse a scheduled Lambda to update counts daily without processing streams

Step-by-Step Solution

Solution:

Step 1: Understand DynamoDB Streams event structure
Streams send event records with eventName like 'INSERT' for new items.
Step 2: Process only 'INSERT' events to update counts
Iterate event.Records, detect 'INSERT', then update 'Analytics' table accordingly.
Final Answer:
In the Lambda, iterate over event.Records, check eventName 'INSERT', then increment count in 'Analytics' table -> Option C
Quick Check:
Process stream INSERT events to update counts [OK]

Quick Trick: Use event.Records and eventName to detect inserts [OK]

Common Mistakes:

MISTAKES

Scanning whole table repeatedly
Ignoring stream events
Relying on manual or scheduled triggers only

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More DynamoDB Quizzes

You want a Lambda function to process DynamoDB stream events and update a separate 'Analytics' table with counts of new items added. Which approach correctly handles this?

Step 1: Understand DynamoDB Streams event structure

Step 2: Process only 'INSERT' events to update counts

Final Answer:

Quick Check:

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