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 ARA-R01 Exam - Topic 4 Question 17 Discussion

A company has built a data pipeline using Snowpipe to ingest files from an Amazon S3 bucket. Snowpipe is configured to load data into staging database tables. Then a task runs to load the data from the staging database tables into the reporting database tables.The company is satisfied with the availability of the data in the reporting database tables, but the reporting tables are not pruning effectively. Currently, a size 4X-Large virtual warehouse is being used to query all of the tables in the reporting database.What step can be taken to improve the pruning of the reporting tables?
C) Use an ORDER BY <cluster_key (s) > command to load the reporting tables.
A) Eliminate the use of Snowpipe and load the files into internal stages using PUT commands.
B) Increase the size of the virtual warehouse to a size 5X-Large.
D) Create larger files for Snowpipe to ingest and ensure the staging frequency does not exceed 1 minute.

Snowflake ARA-R01 Exam - Topic 4 Question 17 Discussion

Actual exam question for Snowflake's ARA-R01 exam
Question #: 17
Topic #: 4
[All ARA-R01 Questions]

A company has built a data pipeline using Snowpipe to ingest files from an Amazon S3 bucket. Snowpipe is configured to load data into staging database tables. Then a task runs to load the data from the staging database tables into the reporting database tables.

The company is satisfied with the availability of the data in the reporting database tables, but the reporting tables are not pruning effectively. Currently, a size 4X-Large virtual warehouse is being used to query all of the tables in the reporting database.

What step can be taken to improve the pruning of the reporting tables?

Show Suggested Answer Hide Answer
Suggested Answer: C

Effective pruning in Snowflake relies on the organization of data within micro-partitions. By using an ORDER BY clause with clustering keys when loading data into the reporting tables, Snowflake can better organize the data within micro-partitions. This organization allows Snowflake to skip over irrelevant micro-partitions during a query, thus improving query performance and reducing the amount of data scanned12.

Reference =

* Snowflake Documentation on micro-partitions and data clustering2

* Community article on recognizing unsatisfactory pruning and improving it1


by Janet at Sep 09, 2024, 12:11 AM

Limited Time Offer

25%

Off

Get Premium ARA-R01 Questions as Interactive Web-Based Practice Test or PDF

Contribute your Thoughts:

0/2000 characters
Submit Cancel
Chandra
9 months ago
Eliminating Snowpipe seems like a step backward, not a solution.
upvoted 0 times
...
Latrice
9 months ago
Definitely go with option C, it makes the most sense for pruning!
upvoted 0 times
...
Krystina
9 months ago
Wait, can larger files really improve Snowpipe performance?
upvoted 0 times
...
Salena
10 months ago
I don't think increasing the warehouse size will help with pruning.
upvoted 0 times
...
Becky
10 months ago
Using ORDER BY with cluster keys sounds like a solid plan!
upvoted 0 times
...
Barrett
10 months ago
I thought Snowpipe was supposed to handle everything efficiently, so eliminating it seems counterintuitive.
upvoted 0 times
...
Hubert
10 months ago
I feel like we practiced a question similar to this, and I think creating larger files could help with ingestion efficiency.
upvoted 0 times
...
Melissa
10 months ago
I'm not entirely sure, but I think increasing the warehouse size might not really solve the pruning issue.
upvoted 0 times
...
Alisha
11 months ago
I remember we discussed how clustering can help with pruning, so maybe option C is the way to go?
upvoted 0 times
...
Reita
11 months ago
I'm a bit unsure about the implications of eliminating Snowpipe and using PUT commands instead, as mentioned in option A. That seems like a pretty drastic change to the data pipeline, so I'll need to think carefully about the potential trade-offs before choosing that approach.
upvoted 0 times
...
Charisse
11 months ago
I'm pretty confident that the solution here is to use a cluster key to load the reporting tables, as suggested in option C. That should help with the pruning issue by organizing the data in a way that makes it more efficient to query.
upvoted 0 times
...
Man
11 months ago
Okay, let's see. The question is asking about improving the pruning of the reporting tables, and it looks like the current setup is using a 4X-Large virtual warehouse to query all the tables. I'm thinking option B, increasing the warehouse size, might be a good place to start.
upvoted 0 times
...
Audry
11 months ago
This seems like a pretty straightforward question about improving the pruning of reporting tables. I think I'll focus on understanding the key details about the current setup and then evaluate the options provided.
upvoted 0 times
...
Zona
11 months ago
Hmm, I'm a bit confused about the relationship between Snowpipe, the staging tables, and the reporting tables. I'll need to make sure I understand the data pipeline before I can decide on the best approach.
upvoted 0 times
...
Dominga
11 months ago
Hmm, I'm a bit confused on this one. It could be the backup policy, since monitoring the hard disks could be related to backups.
upvoted 0 times
...
Polly
2 years ago
That could also work, larger files might help with pruning efficiency.
upvoted 0 times
...
Sina
2 years ago
I'm not sure about that, maybe we should consider option D) Create larger files for Snowpipe to ingest.
upvoted 0 times
...
Yolando
2 years ago
I dunno, have they tried turning it off and on again? Seems like a classic IT problem to me.
upvoted 0 times
Carissa
2 years ago
Yeah, that might be a good solution to improve performance.
upvoted 0 times
...
Gladys
2 years ago
That could help with the pruning issue in the reporting tables.
upvoted 0 times
...
Annalee
2 years ago
Maybe they should try increasing the size of the virtual warehouse to a size 5X-Large.
upvoted 0 times
...
...
Casey
2 years ago
I agree with Polly, using ORDER BY can help improve pruning.
upvoted 0 times
...
Denna
2 years ago
You know, if they're really struggling with pruning, maybe they should just throw the whole reporting database away and start over. That's the *real* solution, right?
upvoted 0 times
...
Vivan
2 years ago
Option D sounds interesting. Bigger files and less frequent staging could help optimize the Snowpipe process. It's worth a shot!
upvoted 0 times
Emile
2 years ago
Let's give it a try and see if it improves the performance of the data pipeline.
upvoted 0 times
...
Rozella
2 years ago
I agree. Creating larger files for Snowpipe to ingest and adjusting the staging frequency could make a difference.
upvoted 0 times
...
Rolande
2 years ago
Yes, that could definitely help with the pruning issue in the reporting tables.
upvoted 0 times
...
Myong
2 years ago
Option D sounds interesting. Bigger files and less frequent staging could help optimize the Snowpipe process. It's worth a shot!
upvoted 0 times
...
...
Staci
2 years ago
Hmm, I'm not sure about that. Increasing the warehouse size seems like it might just be throwing more resources at the problem instead of addressing the root cause.
upvoted 0 times
Margurite
2 years ago
B: Yeah, that could definitely improve the performance without just increasing the warehouse size.
upvoted 0 times
...
Oliva
2 years ago
A: I think using an ORDER BY command might help with pruning the reporting tables more effectively.
upvoted 0 times
...
...
Polly
2 years ago
I think we should try option C) Use an ORDER BY command to load the reporting tables.
upvoted 0 times
...
Jessenia
2 years ago
I think option C is the way to go. Sorting the data in the reporting tables will definitely help with the pruning process.
upvoted 0 times
Alica
2 years ago
I think we should try creating larger files for Snowpipe to ingest and ensure the staging frequency does not exceed 1 minute.
upvoted 0 times
...
Mohammad
2 years ago
I agree, using an ORDER BY command will definitely help with pruning the reporting tables.
upvoted 0 times
...
Mitsue
2 years ago
I think we should try increasing the size of the virtual warehouse to see if that improves the pruning process.
upvoted 0 times
...
Wei
2 years ago
I agree, sorting the data using ORDER BY will definitely help with pruning.
upvoted 0 times
...
...

Save Cancel