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Google Professional Data Engineer

Google Professional Data Engineer

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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?

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