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Snowflake ARA-R01 Exam - Topic 4 Question 13 Discussion

Actual exam question for Snowflake's ARA-R01 exam
Question #: 13
Topic #: 4
[All ARA-R01 Questions]

A Developer is having a performance issue with a Snowflake query. The query receives up to 10 different values for one parameter and then performs an aggregation over the majority of a fact table. It then

joins against a smaller dimension table. This parameter value is selected by the different query users when they execute it during business hours. Both the fact and dimension tables are loaded with new data in an overnight import process.

On a Small or Medium-sized virtual warehouse, the query performs slowly. Performance is acceptable on a size Large or bigger warehouse. However, there is no budget to increase costs. The Developer

needs a recommendation that does not increase compute costs to run this query.

What should the Architect recommend?

Show Suggested Answer Hide Answer
Suggested Answer: C

Enabling the search optimization service on the table can improve the performance of queries that have selective filtering criteria, which seems to be the case here. This service optimizes the execution of queries by creating a persistent data structure called a search access path, which allows some micro-partitions to be skipped during the scanning process. This can significantly speed up query performance without increasing compute costs1.

Reference

* Snowflake Documentation on Search Optimization Service1.


by Ashlyn at Jul 11, 2024, 10:51 AM

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Rozella
3 months ago
I agree with A, it’s efficient and saves time for users!
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Rosalyn
3 months ago
Really? D seems like a lot of hassle for just one query.
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Wilford
3 months ago
C could help, but I’m not sure it’s enough for performance issues.
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Stephen
4 months ago
I think B is better, aligning with user hours makes sense.
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Omega
4 months ago
Option A sounds smart, pre-caching results is a good idea!
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Margo
4 months ago
Option D seems like a good idea, but I remember the instructor saying that creating a larger warehouse would increase costs, which we want to avoid. So I’m leaning towards option B instead.
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Lewis
4 months ago
I’m a bit uncertain about the search optimization service in option C. I feel like it could help, but I’m not clear on how much it would actually improve performance without increasing costs.
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Amina
4 months ago
I think option B might be the best choice since it mentions scheduling the task to align with user hours. That way, the cache would be fresh when they need it.
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Margurite
5 months ago
I remember we discussed caching query results in class. Option A sounds familiar, but I'm not sure if it would be efficient enough for multiple users.
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Lynna
5 months ago
I'm a bit confused by the options here. Caching the query results seems like it could work, but I'm not sure how it would handle the daily data updates. And the search optimization service is new to me, so I'm not sure how reliable that would be. The dedicated warehouse seems like the safest bet, but it might be overkill for this particular use case.
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Elliott
5 months ago
I think the dedicated warehouse option might be the way to go. It would ensure consistent performance without increasing costs. The only downside is that it might require some additional setup and user management, but it could be worth it if the query is critical to the business.
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Val
5 months ago
Hmm, this is a tricky one. I'm not sure if caching the query results is the best approach, since the data is updated daily. Maybe we could look into optimizing the query itself or using materialized views instead.
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Elliott
5 months ago
Okay, let me think this through. Scheduling the query to run before the users arrive could work, but it might not be practical if the users need to access the most up-to-date data. I'm not sure if the search optimization service would be reliable enough for this use case.
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Kaitlyn
5 months ago
Okay, I've got this. For setting up an email account, you need a POP3 or IMAP address, not an HTTP or FTP address. The DNS server address is also not required. I'm confident I can get this right.
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Flo
5 months ago
Hmm, this is a tricky one. I'll need to think carefully about how to block the telnet access without disrupting the email server.
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Stephaine
5 months ago
I'm a bit confused - I thought we needed to use the `out.println()` method to output the date. Let me double-check the options.
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Anissa
2 years ago
I can't believe they're even considering option A. Caching query results? What is this, the Stone Age? I'd rather just set up a dedicated warehouse and call it a day.
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Dominga
2 years ago
Option C seems like a bit of a wild card. I'm not convinced the search optimization service can really work its magic on this query. It's worth a shot, I guess, but I wouldn't put all my money on it.
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Scot
2 years ago
This query sounds like a real headache. I'd go with option D and create a dedicated size Large warehouse. After all, who needs to save money when you can just throw more hardware at the problem?
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Chandra
1 year ago
I agree, sometimes you just need to scale up to get the performance you need.
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Giuseppe
2 years ago
Option D seems like the best solution. Just throw more hardware at it.
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Brett
2 years ago
Option A looks good, but I'm not sure if caching the query results will be enough to handle the performance issues. It might be better to schedule the task to run right before the users start their workday.
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Tommy
1 year ago
Yeah, scheduling the task to align with the users' working hours seems like a practical solution to avoid performance issues.
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Ammie
2 years ago
I think Option B might be more effective. Running the task right before the users start their workday could help improve performance.
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Josefa
2 years ago
Option A looks good, but I'm not sure if caching the query results will be enough to handle the performance issues.
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Ressie
2 years ago
I think option B is the way to go. Scheduling the query task to align with the users' working hours is a smart move to leverage the warehouse cache.
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Laurel
1 year ago
Definitely, aligning the task with users' working hours is a smart way to optimize the query execution.
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Florinda
1 year ago
I agree, it's a practical solution to improve query performance without increasing costs.
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Xuan
1 year ago
Option B is a good choice. Scheduling the task to run before users start work can help utilize the warehouse cache efficiently.
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Gail
1 year ago
Definitely, aligning the task with users' working hours is a smart way to optimize the query execution.
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Lorrie
2 years ago
I agree, it's a practical solution to improve query performance without increasing costs.
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Willard
2 years ago
Option B is a good choice. Scheduling the task to run before users start work can help utilize the warehouse cache efficiently.
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An
2 years ago
I see your point, Cora. But I think option C could also be a good choice. The search optimization service might help improve performance without increasing costs.
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Cora
2 years ago
I disagree, I believe option D is the way to go. Creating a dedicated warehouse seems like a more efficient solution.
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Annita
2 years ago
I think option A is the best recommendation. Running the variations of the query before users come in will help with performance.
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