IBM Watsonx Data Lakehouse Engineer Associate Practice Questions - IBM Certified Watsonx Data Lakehouse Engineer V1 - Associate (Exam C1000-190) Exam

Why is the separation of compute and storage considered a key benefit of the data lakehouse architecture?

Compute engines and storage can scale independently, so you add query capacity without buying more storage and vice versa It forces storage and compute to scale together in fixed ratios for predictable billing It eliminates the need for any metadata about tables and schemas It guarantees that only one engine can ever access the data at a time

Correct Answer:

Compute engines and storage can scale independently, so you add query capacity without buying more storage and vice versa

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