1. Which type of Data Integration tools leverage Snowflake's scalable
compute for data transformation?
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Database Replication ELT
ETL Streaming
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Term
Which of the following are valid approaches to loading data into a
Snowflake table? (Choose all that apply.)
A. Bulk copy from an External Stage
B. Continuous load using Snowpipe REST API
C. The Snowflake Web Interface (UI) data loading wizard
D. Bulk copy from an Internal Stage
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A. Bulk copy from an External Stage
B. Continuous load using Snowpipe REST API
C. The Snowflake Web Interface (UI) data loading wizard
D. Bulk copy from an Internal Stage
https://docs.snowflake.com/en/user-guide/data-load-overview.html
A. Via the Snowflake Web Interface (UI)
C. Via SQL commands
https://docs.snowflake.com/en/user-guide/data-sharing-provider.html#data-
sharing-and-business-critical-accounts
A. JDBC
B. SnowSQL
C. Snowflake Web Interface (UI)
D. ODBC
E. Python
https://docs.snowflake.com/en/user-guide/security-mfa.html
MFA login is designed primarily for connecting to Snowflake through the web
, interface, but is also fully-supported by SnowSQL and the Snowflake JDBC and
ODBC drivers.
Snowflake supports MFA token caching with the following client versions:
ODBC driver version 2.23.0 (or later).
JDBC driver version 3.12.16 (or later).
Python Connector for Snowflake version 2.3.7 (or later).
A. They happen approximately weekly Most Voted
C. During a release, new customer requests/queries/connections transparently
move over to the newer version Most Voted
https://docs.snowflake.com/en/user-guide/intro-releases.html
To meet this commitment, we deploy new releases each week. This allows us to
regularly deliver service improvements in the form of new features,
enhancements, and fixes. The deployments happen transparently in the
background; users experience no downtime or disruption of service, and are
always assured of running on the most-recent release with access to the latest
features.
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Term
True or False: Once created, a micro-partition will never be
changed.
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True False
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Term
What would happen if we executed the following command?
CREATE OR REPLACE TABLE newTable CLONE table1;
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"newTable" is created with all the data from "table1"
"newTable" is created, and SnowFlake internally executes a batch job to copy all
the data from "table1"
"newTable" is created, and SnowFlake internally executes a pipe to copy all the
data from "table1"
SnowFlake creates a new entry in the metadata store to keep track of the
new clone. The existing micro-partitions of "table1" are mapped to the new
table.
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Term
Does SnowFlake support Nested Transactions?
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