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Exam SnowPro Core topic 1 question 41 discussion

Actual exam question from Snowflake's SnowPro Core
Question #: 41
Topic #: 1
[All SnowPro Core Questions]

Increasing the maximum number of clusters in a Multi-Cluster Warehouse is an example of:

  • A. Scaling rhythmically
  • B. Scaling max
  • C. Scaling out
  • D. Scaling up
Show Suggested Answer Hide Answer
Suggested Answer: C 🗳️

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rakshithaK
Highly Voted 1 year, 6 months ago
Selected Answer: C
Scale up by resizing a warehouse. Scale out by adding clusters to a multi-cluster warehouse (requires Snowflake Enterprise Edition or higher).
upvoted 8 times
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vitorsilva6
Highly Voted 1 year, 2 months ago
The questions are good, but the accepted answers are BAD.
upvoted 6 times
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Sudhansu21
Most Recent 3 days, 2 hours ago
Selected Answer: C
Scaling out refers to adding more nodes or clusters to a system to handle increased workload. In Snowflake, increasing the maximum number of clusters in a Multi-Cluster Warehouse is an example of scaling out because it adds more compute resources (clusters) to distribute the workload.
upvoted 1 times
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VLMBL_94
6 months, 2 weeks ago
Selected Answer: C
scaling out/in - multi cluster VWH ; scaling up/down : vwh resizing.
upvoted 1 times
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Tushar0807
6 months, 3 weeks ago
Option C
upvoted 1 times
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Mallikharjuna452
7 months, 1 week ago
Scale out is correct answer
upvoted 1 times
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pranalig
8 months, 1 week ago
Correct answer:C
upvoted 1 times
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mnaik45
12 months ago
Selected Answer: C
Scaling out is correct
upvoted 3 times
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_yyukta
12 months ago
Selected Answer: C
C. Scaling out
upvoted 1 times
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Nilesh_Gore0310
1 year, 3 months ago
I am seeing wrong answers for at least one question in every 10 questions.
upvoted 5 times
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cbji
1 year, 7 months ago
Selected Answer: C
Snowflake supports two ways to scale warehouses: Scale up by resizing a warehouse. Scale out by adding clusters to a multi-cluster warehouse (requires Snowflake Enterprise Edition or higher).
upvoted 3 times
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YATISH17
1 year, 7 months ago
Selected Answer: C
SCALLING OUT
upvoted 1 times
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Mayuri917233
1 year, 9 months ago
Selected Answer: D
D is correct
upvoted 1 times
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Harpreetwal
1 year, 9 months ago
Selected Answer: C
Scale out by adding more, and scale up is increasing hardware power for the single system
upvoted 3 times
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RajuNaik
1 year, 10 months ago
Scaling out is correct
upvoted 2 times
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SteveCrown
1 year, 10 months ago
Scaling Max Clusters. Stephen Okon Increasing the maximum number of clusters in a Multi-Cluster Warehouse is an example of: A. Scaling rhythmically B. Scaling max C. Scaling out D. Scaling up The correct answer is B. Scaling max. Scaling max refers to increasing the maximum limit of resources that can be allocated to a system or application. In the context of a Multi-Cluster Warehouse, increasing the maximum number of clusters would require more resources to be allocated to the system in order to accommodate the additional clusters. This is an example of scaling max because it involves increasing the maximum limit of resources that can be allocated to the Multi-Cluster Warehouse. Scaling rhythmically, on the other hand, refers to increasing or decreasing resources in a gradual and predictable manner based on the workload of the system. Scaling out involves adding more instances of a system or application to distribute the workload across multiple nodes. Scaling up involves increasing the resources of a single node in order to handle a larger workload.
upvoted 1 times
girgir
1 year, 5 months ago
this completely make sense but couldn't find it in the documentation
upvoted 3 times
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Ayush24
1 year, 10 months ago
Correct answer : C https://docs.snowflake.com/en/user-guide/warehouses-considerations#scaling-up-vs-scaling-out Snowflake supports two ways to scale warehouses: 1. Scale up by resizing a warehouse. 2. Scale out by adding clusters to a multi-cluster warehouse (requires Snowflake Enterprise Edition or higher).
upvoted 3 times
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Community vote distribution
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C (25%)
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