Explanation:
The question asks to select two correct definitions of 'scale up' and 'scale out' in Snowflake. Option A correctly defines scaling out as adding clusters of the same size to a virtual warehouse to handle more concurrent queries, which aligns with Snowflake's multi-cluster warehouse feature. Option E correctly defines scaling up as resizing a virtual warehouse to handle more complex workloads, which refers to increasing the warehouse size (e.g., from X-Small to Large). Option B is incorrect because scaling out uses clusters of the same size, not varying sizes. Option C is incorrect as it misrepresents scaling out; Snowflake adds clusters, not database servers to an existing cluster. Option D is misleading; while both strategies can be used, Snowflake does not universally recommend using both—it depends on the workload. Option F is incorrect because scaling up resizes the warehouse, not adds servers to a cluster. The community discussion unanimously supports A and E with 100% consensus and upvotes, confirming these as the accurate definitions based on Snowflake documentation.
Ultimate access to all questions.
What do the terms "scale up" and "scale out" refer to in Snowflake? (Choose two.)
A
Scaling out adds clusters of the same size to a virtual warehouse to handle more concurrent queries.
B
Scaling out adds clusters of varying sizes to a virtual warehouse.
C
Scaling out adds additional database servers to an existing running cluster to handle more concurrent queries.
D
Snowflake recommends using both scaling up and scaling out to handle more concurrent queries.
E
Scaling up resizes a virtual warehouse so it can handle more complex workloads.
F
Scaling up adds additional database servers to an existing running cluster to handle larger workloads.
No comments yet.