ARA-C01 · Question #36
Which of the following ingestion methods can be used to load near real-time data by using the messaging services provided by a cloud provider?
The correct answer is A. Snowflake Connector for Kafka. The Snowflake Connector for Kafka integrates directly with Apache Kafka, a distributed event-streaming platform. Cloud providers offer managed Kafka-compatible messaging services (e.g., AWS MSK, Azure Event Hubs with Kafka protocol, GCP Pub/Sub with Kafka compatibility)…
Question
Which of the following ingestion methods can be used to load near real-time data by using the messaging services provided by a cloud provider?
Options
- ASnowflake Connector for Kafka
- BSnowflake streams
- CSnowpipe
- DSpark
How the community answered
(21 responses)- A86% (18)
- C10% (2)
- D5% (1)
Explanation
The Snowflake Connector for Kafka integrates directly with Apache Kafka, a distributed event-streaming platform. Cloud providers offer managed Kafka-compatible messaging services (e.g., AWS MSK, Azure Event Hubs with Kafka protocol, GCP Pub/Sub with Kafka compatibility), enabling near real-time data ingestion into Snowflake. Option B (Snowflake Streams) is a CDC mechanism for tracking changes in existing Snowflake tables, not an ingestion method. Option C (Snowpipe) is file-based ingestion triggered by cloud storage events, not a messaging service integration. Option D (Spark) is a general-purpose data processing engine and not a cloud messaging service.
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