ARA-C01 Exam Dumps : SnowPro Advanced: Architect Certification Exam

When a new table (table_6) is added to a schema in the provider's account that is part of a data share, the consumer will not automatically see the new table. The consumer will only be able to access the new table once the appropriate privileges are granted by the provider. The correct process, as outlined in option D, involves using the provider’s ACCOUNTADMIN role to grant USAGE privileges on the database and schema, followed by SELECT privileges on the new table, specifically to the share that includes the consumer's database. This ensures that the consumer account can access the new table under the established data sharing setup.

This question tests Snowflake’s native Git integration setup pattern, which relies on Snowflake security objects to authenticate outbound access to an external Git provider. The correct sequence begins with creating an API integration because it defines and authorizes the external endpoint(s) Snowflake is allowed to communicate with. In Snowflake, integrations are the governance layer for external connectivity—administrators explicitly allow network destinations and control whether the integration is enabled, which is foundational before any credential object can be used.

Next, the Architect creates a secret to securely store the authentication material required by the Git provider (for example, a token or other supported credential). Secrets are designed for securely managing sensitive values and are referenced by other Snowflake objects without exposing the credential in plain text in SQL or configuration.

Finally, the Architect creates the Snowflake Git repository stage, which is the object that actually references the Git repo location and uses the configured integration and secret to authenticate and interact with the repository. Creating the stage last ensures all required prerequisites (allowed connectivity + stored credentials) exist and can be bound to the stage cleanly, aligning with Snowflake’s documented dependency model for external integrations.

The minimum value supported for the buffer.flush.time property is 1 (in seconds). For higher average data flow rates, we suggest that you decrease the default value for improved latency. If cost is a greater concern than latency, you could increase the buffer flush time. Be careful to flush the Kafka memory buffer before it becomes full to avoid out of memory