A. They call code that is stored inside of Snowflake.

B. They are a type of User-defined Function (UDF).

C. They contain their own SQL code.

D. They can return multiple rows for each row received

A. PUT

B. SELECT

C. COPY

D. GET

A. USAGE

B. REFERENCES

C. OWNERSHIP

D. IMPORT SHARE

A. Provider Studio

B. Python worksheets

C. Dashboards

D. SnowSQL

A. PARSE_DOCUMENT

B. TRANSCRIBE

C. EMBED

D. COMPLETE

A. When it has been 24 hours since the last query

B. When the underlying data has changed

C. When another user executes the query

D. When the warehouse used to execute the query is suspended

E. When another warehouse is used to execute the query

A. The columns with many different values.

B. The columns most actively used in the select filters.

C. The columns that are queried in the select clause.

D. The columns with very high cardinality.

A. Create a CURSOR for the command.

B. Put it in the FROM clause in brackets.

C. Assign the command to RESULTSET.

D. Use the RESULT_SCAN function.

A. When a new transformation is applied on the DataFrame

B. When there is sufficient memory available in the virtual warehouse

C. When a collect() action is triggered

D. When the DataFrame is created

A. Table

B. Database

C. Schema

D. Account

A. Table

B. Database

C. Schema

D. Account

A. JSON must be converted to CSV before it can be queried

B. CSV stores flat, tabular data

C. JSON can be loaded into a VARIANT column without predefined schema

D. CSV files automatically detect and apply data types during loading

E. CSV supports complex data types such as arrays and objects