Why would a customer size a Virtual Warehouse from an X-Small to a Medium?
Why would a customer size a Virtual Warehouse from an X-Small to a Medium?
A customer would size a Virtual Warehouse from an X-Small to a Medium to accommodate a more complex workload. Resizing the warehouse increases the compute resources available, which is particularly beneficial for larger, more complex queries. This ensures that the queries can execute more efficiently without significant delays or resource limitations.
should be D
A is the correct answer. Ref: https://docs.snowflake.com/en/user-guide/warehouses-considerations.html Resizing a warehouse generally improves query performance, particularly for larger, more complex queries. It can also help reduce the queuing that occurs if a warehouse does not have enough compute resources to process all the queries that are submitted concurrently. Note that warehouse resizing is not intended for handling concurrency issues; instead, use additional warehouses to handle the workload or use a multi-cluster warehouse (if this feature is available for your account).
The text you quote explains why D is the correct answer.
Answer is D. As you mention warehouse resizing is not intended for handling concurrency issues(i.e handling more queries). The solution for A would be multi-clustering.
You answer option contradicts you post. What you posted mentioned that "...particularly for larger, more complex queries.". So correct answer is D
The answer literally justifies why it's A.. Scaling up improves query performance and can reduce queing to process queries submitted concurrently. "Use additional warehouses to handle the workload". Everything related to workload is solved through Scaling Out (more VW) and not by increasing the size of the VW.
Answer is D https://docs.snowflake.com/en/user-guide/warehouses-tasks.html#resizing-a-warehouse
Scale up(resizing warehouse) is done to accommodate more complex queries, it don't help with concurrency! https://docs.snowflake.com/en/user-guide/warehouses-considerations.html
Scale up for complex queries. Scaleout for higher number of users and better concurrency.
Scale up for more complex queries, and scale out to accomodate more concurrent queries
Doesn't more queries imply a more complex workload?
D is correct
Scaling up solves PERFORMANCE not CONCURRENCY.
Should be D. If a query is too complex Snowflake would simply not be able to finished the query in XS warehouse. You have to increase to the warehouse size to medium to make it work.
How do you know that medium size will complete the sql medium size may take 10 mins then xsmall may take 20 mins unless timeout is not defined
Resizing a warehouse to a larger size is useful when the operations being performed by the warehouse will benefit from more compute resources, including: Improving the performance of large, complex queries against large data sets. Improving performance while loading and unloading significant amounts of data.
A,D both
should be D
should be D
To accommodate more queries ( parallel query processing ) more clusters should be added & to scale the workload T shirt size should be increased.
A and D both should be correct
should be D
with a doubt, D
https://docs.snowflake.com/en/user-guide/warehouses-considerations.html#warehouse-resizing-improves-performance "Resizing a warehouse generally improves query performance, particularly for larger, more complex queries."
Increasing the size of a warehouse can help to execute complex and on huge dataset. Small VWH might timeout and take longer time to execute same query as compare to Large Size warehouse.
yOU ALREADY KNOW WHY
This is the correct answer
D is correct Answer
You scale up to accommodate complex queries and you scale out to accommodate concurrent queries. So answer is D.
Scaling up solves PERFORMANCE not CONCURRENCY.
Answer is D
D is the correct answer. https://docs.snowflake.com/en/user-guide/warehouses-considerations#warehouse-resizing-improves-performance
A is the correct answer.
A for Concurrency D for Workload/Perfomance D is the correct answer.
B. To accommodate more users
Correct Anaswer is A . https://docs.snowflake.com/en/user-guide/warehouses-tasks
The answer literally justifies why it's A.. Scaling up improves query performance and can reduce queing to process queries submitted concurrently. "Use additional warehouses to handle the workload". Everything related to workload is solved through Scaling Out (more VW) and not by increasing the size of the VW.
What is the definition of complex workload the option is incomplete
D is correct answer because when query is more complex then it will be using more compute power so in that case VW size should be increased from XS to medium
The answer id D
D is correct
The answer id D
Everything related to workload is solved through Scaling Out (more VW) and not by increasing the size of the VW.
Scale up is for complex queries
correct answer:D
D is correct answer If queries processed by a warehouse are running slowly, you can always resize the warehouse to provision more compute resources. The additional resources do not impact any queries that are already running, but once they are fully provisioned they become available for use by any queries that are queued or newly submitted.
To Accommodate a More workloads
Acc to snowflake document "In general, you should try to match the size of the warehouse to the expected size and complexity of the queries to be processed by the warehouse"
should be D: "Note that warehouse resizing is not intended for handling concurrency issues"; i.e. number of queries...
To accomodate more complex queries
D is correct