Deal of The Day! Hurry Up, Grab the Special Discount - Save 25% - Ends In 00:00:00 Coupon code: SAVE25
Welcome to Pass4Success

- Free Preparation Discussions
Mail Us support@pass4success.com
Location US
Mob_nav_barsMENU

Snowflake Exam ARA-C01 Topic 6 Question 51 Discussion

Actual exam question for Snowflake's ARA-C01 exam
Question #: 51
Topic #: 6
[All ARA-C01 Questions]

The Business Intelligence team reports that when some team members run queries for their dashboards in parallel with others, the query response time is getting significantly slower What can a Snowflake Architect do to identify what is occurring and troubleshoot this issue?

A)

B)

C)

D)

Show Suggested Answer Hide Answer
Suggested Answer: A

The image shows a SQL query that can be used to identify which queries are spilled to remote storage and suggests changing the warehouse parameters to address this issue. Spilling to remote storage occurs when the memory allocated to a warehouse is insufficient to process a query, and Snowflake uses disk or cloud storage as a temporary cache. This can significantly slow down the query performance and increase the cost. To troubleshoot this issue, a Snowflake Architect can run the query shown in the image to find out which queries are spilling, how much data they are spilling, and which warehouses they are using.Then, the architect can adjust the warehouse size, type, or scaling policy to provide enough memory for the queries and avoid spilling12.Reference:

Recognizing Disk Spilling

Managing the Kafka Connector


by Chantay at Jun 16, 2025, 08:04 PM

Limited Time Offer

25%

Off

Get Premium ARA-C01 Questions as Interactive Web-Based Practice Test or PDF

Contribute your Thoughts:

Submit Cancel
Lashaun
21 days ago
I'm going with Option A. It's the easiest solution, and as a Snowflake Architect, I'm all about taking the path of least resistance. Lazy, but efficient!
upvoted 0 times
Kenneth
6 days ago
User 1: I think Option A is the way to go. Quick and easy fix.
upvoted 0 times
...
...
Emerson
1 months ago
Option D is the way to go! Who needs performance optimization when you can just throw more money at the problem? That's the Snowflake way!
upvoted 0 times
Asuncion
7 days ago
True, throwing more money at the problem might not always be the best approach. It's worth exploring other options first.
upvoted 0 times
...
Detra
11 days ago
I agree, it's important to identify the root cause of the issue before deciding on a solution.
upvoted 0 times
...
Alica
13 days ago
Option D is definitely a quick fix, but it might not be the most cost-effective solution in the long run.
upvoted 0 times
...
...
Nieves
1 months ago
In addition to that, we can review the Snowflake warehouse configuration to ensure it is optimized for parallel queries.
upvoted 0 times
...
Pearlie
1 months ago
I agree with Heike. We can also check the system resource utilization to see if there are any bottlenecks.
upvoted 0 times
...
Heike
1 months ago
I think we should start by analyzing the query execution plans to see if there are any inefficiencies.
upvoted 0 times
...
Reuben
1 months ago
Hmm, I'm torn between B and C. Might as well just spin up another Snowflake cluster and see if that fixes it. You know what they say, 'more is better!'
upvoted 0 times
Miss
17 days ago
Agreed, adding more resources could be the solution. Give it a try and see if it resolves the problem.
upvoted 0 times
...
Viola
21 days ago
Yeah, more clusters could definitely improve the performance. Maybe try option B or C to troubleshoot the issue.
upvoted 0 times
...
Sharita
23 days ago
I think spinning up another Snowflake cluster might help with the slow query response time.
upvoted 0 times
...
...
Sheridan
2 months ago
Option C looks like the right choice here. Monitoring query performance and identifying resource constraints is key to troubleshooting the slowdown.
upvoted 0 times
Oliva
1 months ago
Yes, Option C seems to be the best choice for troubleshooting the slowdown.
upvoted 0 times
...
Ty
1 months ago
I agree, monitoring query performance is crucial in identifying the issue.
upvoted 0 times
...
...

Save Cancel