Snowflake SOL-C01 Exam With Confidence Using Practice Dumps

The PARSE_JSON() function ingests a string containing JSON text and converts it into Snowflake’sVARIANTdata type, enabling the JSON to be queried, navigated, and transformed using SQL. Snowflake does not store JSON in its raw textual representation; instead, VARIANT allows Snowflake to apply optimized parsing, indexing, and querying operations against semi-structured content. This function is particularly useful when JSON arrives inline (e.g., supplied directly within SQL statements or loaded from CSV files containing JSON strings). PARSE_JSON does not perform data loading from stages—that is handled through COPY INTO—nor does it convert JSON into XML. Once JSON is converted to VARIANT, Snowflake allows access to nested structures using dot notation, bracket notation, and functions like FLATTEN(). Thus, the function serves as a bridge between raw JSON strings and Snowflake’s relational and analytical capabilities.

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Snowflake supports several native data types for managing temporal information:

DATE – Stores dates only (year, month, day) without any time component.

TIMESTAMP – Represents date and time values, including several variants:

• TIMESTAMP_NTZ (no time zone)

• TIMESTAMP_LTZ (local time zone)

• TIMESTAMP_TZ (explicit time zone)

DATETIME – An alias for TIMESTAMP_NTZ, storing both date and time.

These data types enable powerful time-based analytics and comparisons.

❌TIMEDATE is not a valid data type.

❌Python and JavaScript are programming languages, not Snowflake data types.

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Snowflake supports bothTOPandLIMITas valid SQL mechanisms for restricting the number of rows returned by a query. They function similarly but are used in different syntactic positions.

LIMITappears at the end of the query:

SELECT * FROM my_table LIMIT 10;

This tells Snowflake to return only the specified number of rows.

TOPis used in the SELECT clause:

SELECT TOP 10 * FROM my_table;

Both approaches are equivalent in functionality and are supported to maintain compatibility with ANSI SQL and other SQL dialects.

The other options are not correct row-limiting mechanisms:

•SELECTis a required keyword but does not limit rows on its own.

•GETis not a SQL keyword for row restriction; GET is used for downloading files from internal stages.

•ROW_NUMBERis a window function used for ranking rows, not constraining row count.

Therefore, TOP and LIMIT are the only correct SQL keywords in Snowflake for controlling how many rows are returned by a query.

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