ExamGecko
Search Search Login
Home Home / Snowflake / COF-C02
Question list
Search
Search
Open VPLUS File
Convert VPLUS to PDF

Related questions

A query containing a WHERE clause is running longer than expected. The Query Profile shows that all micro-partitions being scanned How should this query be optimized?
Which minimum Snowflake edition allows for a dedicated metadata store?
How can the outer array structure of a semi-structured file be removed?
Who can access the data published in a Data Exchange?
What are characteristics of the ownership privilege when it is granted on a regular Snowflake schema? (Select TWO).
What virtual warehouse configuration should be used when processing a large number of complex queries?
Which Query Profile metrics will provide information that can be used to improve query performance? (Select TWO).
How can a data provider validate that a secure view is configured to display only the data the provider wishes to expose?
While preparing to unload data in Snowflake, the file format option can be specified in which commands? (Select TWO).
How does the search optimization service improve query performance?

Question 463 - COF-C02 discussion

Report
Export

The effects of query pruning can be observed by evaluating which statistics? (Select TWO).

A.
Partitions scanned
Answers
A.
Partitions scanned
B.
Partitions total
Answers
B.
Partitions total
C.
Bytes scanned
Answers
C.
Bytes scanned
D.
Bytes read from result
Answers
D.
Bytes read from result
E.
Bytes written
Answers
E.
Bytes written
Suggested answer: A, C

Explanation:

Query pruning in Snowflake refers to the optimization technique where the system reduces the amount of data scanned by a query based on the query conditions. This typically involves skipping unnecessary data partitions that do not contribute to the query result. The effectiveness of this technique can be observed through:

Option A: Partitions scanned. This statistic indicates how many data partitions were actually scanned as a result of query pruning, showing the optimization in action.

Option C: Bytes scanned. This measures the volume of data physically read during query execution, and a reduction in this number indicates effective query pruning, as fewer bytes are read when unnecessary partitions are skipped.

Options B, D, and E do not directly relate to observing the effects of query pruning. 'Partitions total' shows the total available, not the impact of pruning, while 'Bytes read from result' and 'Bytes written' relate to output rather than the efficiency of data scanning. References: Snowflake documentation on performance tuning and query optimization techniques, specifically how query pruning affects data access.

Show Answer
asked 23/09/2024
Gilbert Mendoza
38 questions
PreviousPreviousNextNext
User
Your answer:
0 comments
Sorted by

Leave a comment first

ExamGecko

Copyright @2023 ExamGecko | All right reserved

Mail us: [email protected]
About us
Contact us
Twitter X
Facebook
Medium
Convert VPLUS to PDF
Open VPLUS files Easily and Quickly
Privacy Policy
Disclaimer
Terms