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The FIELD_OPTIONALLY_ENCLOSED_BY option in the COPY INTO command specifies how fields are optionally enclosed when unloading data.

Valid values are:

Single quote ('): Specifies that fields are enclosed in single quotes.

NULL: Specifies no enclosure for fields.

Examples:

COPY INTO 's3://mybucket/mypath/'

FROM my_table

FILE_FORMAT = (TYPE = CSV FIELD_OPTIONALLY_ENCLOSED_BY = '''');

COPY INTO 's3://mybucket/mypath/'

FROM my_table

FILE_FORMAT = (TYPE = CSV FIELD_OPTIONALLY_ENCLOSED_BY = NULL);

References:

Snowflake Documentation: COPY INTO

Snowflake File Format Options

In Snowflake, shares are used to share data between Snowflake accounts. When creating a share, it is possible to grant access to the share to roles within the Snowflake account that is creating the share. The type of role that can be granted to a share is a Custom role. Custom roles are user-defined roles that account administrators can create to manage access control in a more granular way. Unlike predefined roles such as ACCOUNTADMIN or SYSADMIN, custom roles can be tailored with specific privileges to meet the security and access requirements of different groups within an organization.

Granting a custom role access to a share enables users associated with that role to access the shared data if the share is received by another Snowflake account. It is important to carefully manage the privileges granted to custom roles to ensure that data sharing aligns with organizational policies and data governance standards.

References:

Snowflake Documentation on Shares: Shares

Snowflake Documentation on Roles: Access Control

In a multi-cluster virtual warehouse, Snowflake allows you to scale-out by adding more clusters to handle concurrent queries.

Increasing the MAX_CLUSTER_COUNT ensures more clusters are dynamically provisioned during high-concurrency periods, reducing queuing.

Why Other Options Are Incorrect:

A. Increase warehouse size: Increases compute power for individual queries but does not address concurrency issues.

B. Use economy scaling policy: Economy scaling is unrelated to reducing query queuing.

D. Convert to Snowpark-optimized warehouse: Snowpark warehouses are designed for ML and Python-based workloads, not for query concurrency.

References:

Multi-Cluster Warehouses

The VARIANT data type in Snowflake is used for semi-structured data such as JSON, Avro, or Parquet.

A 16 MB size limit applies to an individual column when storing VARIANT data in a table.

This size restriction ensures efficient storage and processing of semi-structured data.

References:

Snowflake Documentation: VARIANT Data Type

Snowflake Table Storage Limitations

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