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AWS Certified Developer - Associate · AWS
Select 2 answers.
This question asks for 2 answers, but our data marks only 1. Compare with the community discussion below for the full answer.
Written by other learners. Comments can disagree with the marked answer — check the official documentation when in doubt.
A) Kinesis uses shards to process data in parallel. If the data stream has a high volume of records, increasing the number of shards enables parallelism, allowing more Lambda instances to process data simultaneously C) Allocating more memory to a Lambda function also increases the available CPU power
AC For those wondering why A is correct, quote: Increasing the number of shards in a stream increases the number of concurrent Lambda functions consuming from your stream, which decreases a function's iterator age.
AC is the correct answer.