BlackFriday 2024! 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 2 Question 22 Discussion

Actual exam question for Snowflake's ARA-C01 exam
Question #: 22
Topic #: 2
[All ARA-C01 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.


* Snowflake Documentation on micro-partitions and data clustering2

* Community article on recognizing unsatisfactory pruning and improving it1

by Lorrie at Mar 17, 2024, 12:58 AM

Limited Time Offer

25%

Off

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

Contribute your Thoughts:

Submit Cancel
Tammara
4 months ago
Increasing the size of the virtual warehouse could also help in improving the pruning of the reporting tables.
upvoted 0 times
...
Ilona
4 months ago
I don't think that would be a good idea. Maybe we should create larger files for Snowpipe to ingest and adjust the staging frequency.
upvoted 0 times
...
Theola
5 months ago
But what if we eliminate Snowpipe and load the files into internal stages using PUT commands instead?
upvoted 0 times
...
Lavera
5 months ago
Maybe we can try using an ORDER BY command to load the reporting tables more efficiently.
upvoted 0 times
...
Stefany
5 months ago
I think we need to figure out how to improve the pruning of the reporting tables.
upvoted 0 times
...
Willard
5 months ago
Or we could also try using an ORDER BY command to load the reporting tables. That might help with pruning too.
upvoted 0 times
...
Lonny
5 months ago
That could help improve performance. We might not need to use up more resources.
upvoted 0 times
...
Jolene
5 months ago
I don't think that's the best solution. Maybe we should increase the size of the virtual warehouse instead.
upvoted 0 times
...
Willard
5 months ago
Do you think we should eliminate the use of Snowpipe and load files using PUT commands?
upvoted 0 times
...
Lonny
5 months ago
I agree. The data seems to be accumulating in the reporting database tables.
upvoted 0 times
...
Willard
7 months ago
I think we need to improve the pruning of the reporting tables.
upvoted 0 times
...

Save Cancel