MENU
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?
Suggested Answer: C
Get Premium ARA-R01 Questions
as Interactive Web-Based Practice Test or PDF
Real Exam Format
Detailed Explanations
Instant Access
Get Your Practice Test
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.
35 comments · newest first
RO
Rozella
11 months ago
I agree with A, it’s efficient and saves time for users!
RO
Rosalyn
11 months ago
Really? D seems like a lot of hassle for just one query.
WI
Wilford
11 months ago
C could help, but I’m not sure it’s enough for performance issues.
ST
Stephen
11 months ago
I think B is better, aligning with user hours makes sense.
OM
Omega
11 months ago
Option A sounds smart, pre-caching results is a good idea!
MA
Margo
12 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.
LE
Lewis
12 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.
AM
Amina
12 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.
MA
Margurite
1 year 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.
LY
Lynna
1 year 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.
EL
Elliott
1 year 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.
VA
Val
1 year 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.
EL
Elliott
1 year 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.
KA
Kaitlyn
1 year 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.
FL
Flo
1 year 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.
ST
Stephaine
1 year 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.
AN
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.
DO
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.
SC
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?
CH
Chandra
2 years ago
I agree, sometimes you just need to scale up to get the performance you need.
GI
Giuseppe
2 years ago
Option D seems like the best solution. Just throw more hardware at it.
BR
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.
TO
Tommy
2 years ago
Yeah, scheduling the task to align with the users' working hours seems like a practical solution to avoid performance issues.
AM
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.
JO
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.
RE
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.
LA
Laurel
2 years ago
Definitely, aligning the task with users' working hours is a smart way to optimize the query execution.
FL
Florinda
2 years ago
I agree, it's a practical solution to improve query performance without increasing costs.
XU
Xuan
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.
GA
Gail
2 years ago
Definitely, aligning the task with users' working hours is a smart way to optimize the query execution.
LO
Lorrie
2 years ago
I agree, it's a practical solution to improve query performance without increasing costs.
WI
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.
AN
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.
CO
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.
AN
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.