When using the COPY INTO <table> command to load CSV data from a stage into a Snowflake table, one of the crucial guidelines to follow is that the number of columns in each row within the CSV file should be consistent. This ensures data integrity and allows for a smooth data loading process, as Snowflake expects each row in the CSV file to map directly to a row in the target table based on the number of columns. If there's a mismatch in the number of columns between any row in the file and the target table, Snowflake might return an error or produce unexpected results during the load operation.
It's important to note that while the CSV field delimiter can be specified to something other than a comma, ensuring the consistency in the number of columns across all rows is fundamental to successfully loading data.
References:
Snowflake Documentation on Loading Data: Loading CSV Data
Question 2
What does SnowCD help Snowflake users to do?
Options:
A.
Copy data into files.
B.
Manage different databases and schemas.
C.
Troubleshoot network connections to Snowflake.
D.
Write SELECT queries to retrieve data from external tables.
Answer:
C
Explanation:
Explanation:
SnowCD is a connectivity diagnostic tool that helps users troubleshoot network connections to Snowflake. It performs a series of checks to evaluate the network connection and provides suggestions for resolving any issues4.
Question 3
Which operations are handled in the Cloud Services layer of Snowflake? (Select TWO).
Options:
A.
Security
B.
Data storage
C.
Data visualization
D.
Query computation
E.
Metadata management
Answer:
A, E
Explanation:
Explanation:
The Cloud Services layer in Snowflake is responsible for various services, including security (like authentication and authorization) and metadata management (like query parsing and optimization). References: Based on general cloud architecture knowledge as of 2021.
