According to the SnowPro Advanced: Architect documents and learning resources, a characteristic of

loading data into Snowflake using the Snowflake Connector for Kafka is that the Connector creates

and manages its own stage, file format, and pipe objects. The stage is an internal stage that is used to

store the data files from the Kafka topics. The file format is a JSON or Avro file format that is used to

parse the data files. The pipe is a Snowpipe object that is used to load the data files into the

Snowflake table. The Connector automatically creates and configures these objects based on the

Kafka configuration properties, and handles the cleanup and maintenance of these objects1.

The other options are incorrect because they are not characteristics of loading data into Snowflake

using the Snowflake Connector for Kafka. Option A is incorrect because the Connector works in

Snowflake regions that use any cloud infrastructure, not just AWS. The Connector supports AWS,

Azure, and Google Cloud platforms, and can load data across different regions and cloud platforms

using data replication2. Option B is incorrect because the Connector does not work with all file

formats, only JSON and Avro. The Connector expects the data in the Kafka topics to be in JSON or

Avro format, and parses the data accordingly. Other file formats, such as text, ORC, Parquet, or XML,

are not supported by the Connector3. Option D is incorrect because loads using the Connector do not

have lower latency than Snowpipe, and do not ingest data in real time. The Connector uses

Snowpipe to load data into Snowflake, and inherits the same latency and performance characteristics

of Snowpipe. The Connector does not provide real-time ingestion, but near real-time ingestion,

depending on the frequency and size of the data files4. Reference: Installing and Configuring the

Kafka Connector | Snowflake Documentation, Sharing Data Across Regions and Cloud Platforms |

Snowflake Documentation, Overview of the Kafka Connector | Snowflake Documentation, Using

Snowflake Connector for Kafka With Snowpipe Streaming | Snowflake Documentation