External stages can be altered and dropped in Snowflake. An external stage points to an external location, such as an S3 bucket, where data files are stored. Users can modify the stage’s definition or drop it entirely if it’s no longer needed. This is in contrast to table stages, which are tied to specific tables and cannot be altered or dropped independently.
References:
[COF-C02] SnowPro Core Certification Exam Study Guide
Snowflake Documentation on Stages1
Question 2
Which Snowflake technique can be used to improve the performance of a query?
Options:
A.
Clustering
B.
Indexing
C.
Fragmenting
D.
Using INDEX__HINTS
Answer:
A
Explanation:
Explanation:
Clustering is a technique used in Snowflake to improve the performance of queries. It involves organizing the data in a table into micro-partitions based on the values of one or more columns. This organization allows Snowflake to efficiently prune non-relevant micro-partitions during a query, which reduces the amount of data scanned and improves query performance.
References:
[COF-C02] SnowPro Core Certification Exam Study Guide
Snowflake Documentation on Clustering
Question 3
What is the Fail-safe period for a transient table in the Snowflake Enterprise edition and higher?
Options:
A.
0 days
B.
1 day
C.
7 days
D.
14 days
Answer:
A
Explanation:
Explanation:
The Fail-safe period for a transient table in Snowflake, regardless of the edition (including Enterprise edition and higher), is 0 days. Fail-safe is a data protection feature that provides additional retention beyond the Time Travel period for recovering data in case of accidental deletion or corruption. However, transient tables are designed for temporary or short-term use and do not benefit from the Fail-safe feature, meaning that once their Time Travel period expires, data cannot be recovered.