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You are managing a Dataflow pipeline that streams order data, aggregating results into a Memorystore for Redis instance. Currently, it's a Basic Tier, 4 GB capacity instance, serving 40 read-only clients. How would you scale this setup to support hundreds of read-only clients, ensuring availability for both read and write operations, and facilitating quick deployment of changes?
You are managing a Dataflow pipeline that streams order data, aggregating results into a Memorystore for Redis instance. Currently, it's a Basic Tier, 4 GB capacity instance, serving 40 read-only clients. How would you scale this setup to support hundreds of read-only clients, ensuring availability for both read and write operations, and facilitating quick deployment of changes?
Real Exam
A
Upgrade to a Standard Tier Memorystore for Redis instance with 5 GB capacity and multiple read replicas, then decommission the old instance.
50.0%
B
Switch to a Memorystore for Memcached instance with at least three nodes, each with 4 GB memory. Adjust the Dataflow pipeline and clients accordingly, then remove the old Redis instance.
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