Welcome to ExamTopics
ExamTopics Logo
- Expert Verified, Online, Free.
exam questions

Exam SnowPro Core All Questions

View all questions & answers for the SnowPro Core exam

Exam SnowPro Core topic 1 question 9 discussion

Actual exam question from Snowflake's SnowPro Core
Question #: 9
Topic #: 1
[All SnowPro Core Questions]

Credit Consumption by the Compute Layer (Virtual Warehouses) is based on: (Choose two.)

  • A. Number of users
  • B. Warehouse size
  • C. Amount of data processed
  • D. # of clusters for the Warehouse
Show Suggested Answer Hide Answer
Suggested Answer: BD 🗳️

Comments

Chosen Answer:
This is a voting comment (?) , you can switch to a simple comment.
Switch to a voting comment New
jjordan
Highly Voted 2 years, 10 months ago
The answer to this is wrong. Consumption is based on the Size of the Warehouse, Number of Clusters and the amount of time the warehouse is running. The correct answer is therefore B&D
upvoted 26 times
blazingliverbird
2 years, 10 months ago
I tend to disagree. Option D doesn't say active clusters and if the clusters are inactive they don't contribute to the consumption.
upvoted 7 times
...
...
nsyilmazer
Most Recent 1 month, 1 week ago
Selected Answer: BC
not sure why everything thinks it's about the number of clusters. Sizing determines the number of clusters and/or scaling option as well.
upvoted 1 times
...
junpal
1 month, 3 weeks ago
Selected Answer: BC
B. Warehouse size: The size of the virtual warehouse is one of the primary factors that determine the credit consumption. Larger warehouses have more compute resources available, which allows them to process data faster and more efficiently, but also results in higher credit consumption. C. Amount of data processed: The amount of data processed by the virtual warehouse is another key factor that determines credit consumption. Snowflake charges credits based on the amount of data processed, regardless of the number of users or the number of clusters used by the virtual warehouse. A. Number of users and D. # of clusters for the warehouse are not direct factors in credit consumption by the compute layer. However, the number of users and the number of clusters used can indirectly affect credit consumption by impacting the amount of data processed and the warehouse size required to process that data efficiently. Therefore, the credit consumption by the compute layer in Snowflake is primarily based on warehouse size and the amount of data processed.
upvoted 1 times
location75
1 year, 7 months ago
Here the question talks about the Compute Layer, you can't choose Answer "C". Correct answer are B and D.
upvoted 1 times
...
...
PrashantGupta1616
1 month, 3 weeks ago
Selected Answer: BD
The correct options for Snowflake Credit Consumption by the Compute Layer (Virtual Warehouses) are: B. Warehouse size D. # of clusters for the Warehouse Snowflake's credit consumption is influenced by the size of the virtual warehouse (which determines the amount of compute resources allocated) and the number of clusters used by the warehouse (especially in multi-cluster warehouses, which allow for scaling out to handle varying workloads).
upvoted 1 times
...
damaldon
3 months, 4 weeks ago
Ans: BD Credit charges are calculated based on: The warehouse size. The number of clusters (if using multi-cluster warehouses). The length of time the compute resources in each cluster runs.
upvoted 1 times
...
ftizie
3 months, 4 weeks ago
Selected Answer: BD
Amount of data has nothing to do with credit consumption; so the right answer is B and D, i.e. WH Size plus Number of clusters
upvoted 1 times
...
Mallikharjuna452
4 months ago
It depends on warehouse size and no.of clusters for the warehouse
upvoted 1 times
...
pranalig
5 months ago
correct answer:BD
upvoted 2 times
...
Touchstone98
6 months, 3 weeks ago
Selected Answer: BD
BD IS CORRECT
upvoted 1 times
...
AnireddySaikiranReddy
8 months, 3 weeks ago
B &C is correct answer
upvoted 1 times
...
_yyukta
8 months, 4 weeks ago
Selected Answer: BD
A.Warehouse size B.# of clusters for the Warehouse
upvoted 1 times
...
whiteomax
9 months, 3 weeks ago
After some research, I feel like picking C over D because you can have 8 2-node clusters or 4 4-node clusters in the same 16-node size warehouse. So more clusters should not cost you more. I also don't like C but generally more data means more time or resources used.
upvoted 1 times
...
KHarish
11 months, 2 weeks ago
B&D - warehouse size and no:of clusters and the amount of the time warehouse ran to process irrespective of the amount of the data processed
upvoted 1 times
...
Colourseun
1 year ago
B&C are correct, warehouse size determines processing power and data processed determines consumption
upvoted 1 times
...
roysubha_1097
1 year, 2 months ago
B &C is correct answer
upvoted 1 times
...
Rad1941
1 year, 2 months ago
Correct answer is B & D. Analysis [A. number of users] and [C. amount of data processed] are non- factors / have absolutely nothing to do with the calcualtion of credit consumption. Which leaves B and D. Credit consumption is based upon [B. warehouse size] and [D.# clusters for the warehouse]. B and D are not the same thing. VW properties: size = XS S M L XL 2XL 3XL 4XL 5XL 6XL clusters= single or multi-cluster say scale UP now say scale OUT. original post OP: re: _________________________________________________________________________________________ Credit Consumption by the Compute Layer (Virtual Warehouses) is based on: (Choose two.) A. Number of users B. Warehouse size Most Voted C. Amount of data processed D. # of clusters for the Warehouse Most Voted Correct Answer: BC 🗳️ _________________________________________________________________________________________ Disagree! correct answer is BD
upvoted 2 times
...
lischris
1 year, 4 months ago
(B&D) https://docs.snowflake.com/en/user-guide/warehouses-considerations How are Credits Charged for Warehouses? Credit charges are calculated based on: The warehouse size. The number of clusters (if using multi-cluster warehouses). The length of time the compute resources in each cluster runs.
upvoted 2 times
...
Community vote distribution
A (35%)
C (25%)
B (20%)
Other
Most Voted
A voting comment increases the vote count for the chosen answer by one.

Upvoting a comment with a selected answer will also increase the vote count towards that answer by one. So if you see a comment that you already agree with, you can upvote it instead of posting a new comment.

SaveCancel
Loading ...