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Exam SnowPro Core All Questions

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Exam SnowPro Core topic 1 question 237 discussion

Actual exam question from Snowflake's SnowPro Core
Question #: 237
Topic #: 1
[All SnowPro Core Questions]

When reviewing the load for a warehouse using the load monitoring chart, the chart indicates that a high volume of queries is always queuing in the warehouse.

According to recommended best practice, what should be done to reduce the queue volume? (Choose two.)

  • A. Use multi-clustered warehousing to scale out warehouse capacity.
  • B. Scale up the warehouse size to allow queries to execute faster.
  • C. Stop and start the warehouse to clear the queued queries.
  • D. Migrate some queries to a new warehouse to reduce load.
  • E. Limit user access to the warehouse so fewer queries are run against it.
Show Suggested Answer Hide Answer
Suggested Answer: AD 🗳️

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danilchezz
Highly Voted 1 year, 11 months ago
Selected Answer: AD
This is per Snowflake documentation: https://docs.snowflake.com/en/user-guide/warehouses-load-monitoring.html#slow-query-performance
upvoted 12 times
EmiB
1 year, 8 months ago
If the running query load is high or there’s queuing, consider - starting a separate warehouse and moving queued queries to that warehouse. - Alternatively, if you are using multi-cluster warehouses, you could change your multi-cluster settings to add additional clusters to handle higher concurrency going forward.
upvoted 3 times
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vivekmani2021
Most Recent 3 months, 2 weeks ago
You are trying to solve for concurrency, so either scale out or add new warehouses
upvoted 1 times
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pranalig
5 months ago
Correct answer:AB
upvoted 1 times
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nexerSnow
6 months, 1 week ago
Selected Answer: AB
A&B r correct
upvoted 1 times
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MultiCloudIronMan
1 year, 4 months ago
Selected Answer: AD
Correct
upvoted 1 times
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Needium
1 year, 6 months ago
Selected Answer: AB
if queries execute faster, there will be lesser queries in the queue. moving to another virtual warehouse may be a temporary fix, but when it's a persistent problem then you should first scale out your virtual warehouse. If scaling out does not fully address the issue, you should consider scaling up as well
upvoted 2 times
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Raju039
1 year, 8 months ago
Selected Answer: AD
If the running query load is high or there’s queuing, consider starting a separate warehouse and moving queued queries to that warehouse. Alternatively, if you are using multi-cluster warehouses, you could change your multi-cluster settings to add additional clusters to handle higher concurrency going forward.
upvoted 3 times
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OTE
1 year, 8 months ago
Selected Answer: AD
Tricky question as scaling up (B) could potentially also help. However, I think it's A/D because the question is about loading data and, thus, concurrency, not complex queries.
upvoted 4 times
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girgir
1 year, 8 months ago
AB, not AD, the key word here is 'always' which indicates the action needed is for following computes but not necessarily current running queries. moving queued queries to new warehouse is temp solution. scale up and scale out is the permanent solution. https://docs.snowflake.com/en/user-guide/warehouses-load-monitoring.html#slow-query-performance
upvoted 3 times
Raju039
1 year, 8 months ago
It's AD. Scaling up(B) is needed only when Query performance is slow.
upvoted 2 times
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n21007
1 year, 9 months ago
Selected Answer: AD
https://docs.snowflake.com/en/user-guide/warehouses-load-monitoring.html#slow-query-performance
upvoted 2 times
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fahfouhi94
1 year, 9 months ago
Selected Answer: AD
correct answer
upvoted 1 times
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sailoo
1 year, 10 months ago
AD for sure
upvoted 1 times
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nintendogamer64
1 year, 10 months ago
Selected Answer: AD
https://docs.snowflake.com/en/user-guide/warehouses-load-monitoring.html#slow-query-performance
upvoted 1 times
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nintendogamer64
1 year, 10 months ago
AB: If the running query load is high or there’s queuing, consider starting a separate warehouse and moving queued queries to that warehouse. Alternatively, if you are using multi-cluster warehouses, you could change your multi-cluster settings to add additional clusters to handle higher concurrency going forward.
upvoted 2 times
nintendogamer64
1 year, 10 months ago
source: https://docs.snowflake.com/en/user-guide/warehouses-load-monitoring.html#slow-query-performance
upvoted 2 times
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SV1122
1 year, 10 months ago
This is interesting. A,B,D all 3 are correct according to https://docs.snowflake.com/en/user-guide/warehouses-load-monitoring.html#slow-query-performance
upvoted 1 times
Needium
1 year, 6 months ago
if queries execute faster, there will be lesser queries in the queue. moving to another virtual warehouse may be a temporary fix, but when it's a persistent problem then you should first scale out your virtual warehouse. If scaling out does not fully address the issue, you should consider scaling up as well
upvoted 1 times
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halol
1 year, 11 months ago
Selected Answer: AB
https://docs.snowflake.com/en/user-guide/warehouses-load-monitoring.html#slow-query-performance
upvoted 2 times
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Tapasgup007
1 year, 11 months ago
Selected Answer: AB
Answer should be A,B
upvoted 1 times
BigDataBB
1 year, 10 months ago
Hi @Tapasgup007 from: https://docs.snowflake.com/en/user-guide/warehouses-load-monitoring.html#slow-query-performance If the running query load is high or there’s queuing, consider starting a separate warehouse and moving queued queries to that warehouse. Alternatively, if you are using multi-cluster warehouses, you could change your multi-cluster settings to add additional clusters to handle higher concurrency going forward. To Increse the size of warehouse is the right answer if: If the running query load is low and query performance is slow, you could resize the warehouse to provide more compute resources. You would need to restart the query once all the new resources were fully provisioned to take advantage of the added resources But the question said that we have " high volume of queries". So the right answers are A,D
upvoted 4 times
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C (25%)
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