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Snowflake ARA-R01 Exam - Topic 2 Question 49 Discussion

A company's daily Snowflake workload consists of a huge number of concurrent queries triggered between 9pm and 11pm. At the individual level, these queries are smaller statements that get completed within a short time period.What configuration can the company's Architect implement to enhance the performance of this workload? (Choose two.)
A) Enable a multi-clustered virtual warehouse in maximized mode during the workload duration. and B) Set the MAX_CONCURRENCY_LEVEL to a higher value than its default value of 8 at the virtual warehouse level.
C) Increase the size of the virtual warehouse to size X-Large.
D) Reduce the amount of data that is being processed through this workload.
E) Set the connection timeout to a higher value than its default.

Snowflake ARA-R01 Exam - Topic 2 Question 49 Discussion

Actual exam question for Snowflake's ARA-R01 exam
Question #: 49
Topic #: 2
[All ARA-R01 Questions]

A company's daily Snowflake workload consists of a huge number of concurrent queries triggered between 9pm and 11pm. At the individual level, these queries are smaller statements that get completed within a short time period.

What configuration can the company's Architect implement to enhance the performance of this workload? (Choose two.)

Show Suggested Answer Hide Answer
Suggested Answer: A, B

These two configuration options can enhance the performance of the workload that consists of a huge number of concurrent queries that are smaller and faster.

Enabling a multi-clustered virtual warehouse in maximized mode allows the warehouse to scale out automatically by adding more clusters as soon as the current cluster is fully loaded, regardless of the number of queries in the queue. This can improve the concurrency and throughput of the workload by minimizing or preventing queuing.The maximized mode is suitable for workloads that require high performance and low latency, and are less sensitive to credit consumption1.

Setting the MAX_CONCURRENCY_LEVEL to a higher value than its default value of 8 at the virtual warehouse level allows the warehouse to run more queries concurrently on each cluster. This can improve the utilization and efficiency of the warehouse resources, especially for smaller and faster queries that do not require a lot of processing power.The MAX_CONCURRENCY_LEVEL parameter can be set when creating or modifying a warehouse, and it can be changed at any time2.


Snowflake Documentation: Scaling Policy for Multi-cluster Warehouses

Snowflake Documentation: MAX_CONCURRENCY_LEVEL

Contribute your Thoughts:

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Flo
2 days ago
Wait, can a timeout really affect performance that much?
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Pete
7 days ago
MAX_CONCURRENCY_LEVEL should definitely be raised!
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Fernanda
13 days ago
Not sure about reducing data, that seems counterproductive.
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Mira
18 days ago
I think increasing the size to X-Large could help too.
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Susy
23 days ago
A multi-clustered virtual warehouse is a solid choice!
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Franchesca
28 days ago
Reducing the data processed sounds logical, but I’m not confident if that’s the best approach here. I think I’d focus more on options A and B.
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Nan
1 month ago
I practiced a similar question where increasing the warehouse size helped with performance, so I might lean towards option C as well.
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Ernie
1 month ago
I'm not entirely sure, but I feel like increasing the MAX_CONCURRENCY_LEVEL could also be a good idea. It seems like it would allow more queries to run at once.
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Desmond
1 month ago
I remember discussing the benefits of multi-clustered warehouses in class, so I think option A could really help with handling those concurrent queries.
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