An Architect is designing a pipeline to stream event data into Snowflake using the Snowflake Kafka connector. The Architect’s highest priority is to configure the connector to stream data in the MOST cost-effective manner.
Which of the following is recommended for optimizing the cost associated with the Snowflake Kafka connector?
To optimize costs when streaming data using the Snowflake Kafka connector, it is recommended to utilize a higher buffer flush time (Buffer.flush.time). This setting means data is accumulated over a longer period before being sent to Snowflake, thereby reducing the number of writes, which can be cost-intensive. By increasing the buffer flush time, the frequency of data transmissions is decreased, which helps in reducing the overall cost associated with data ingestion.
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 exceptions. https://docs.snowflake.com/en/user-guide/data-load-snowpipe-streaming-kafka
With lower buffer.count.records the buffer limits will be reached earlier, the file will be flushed and sent for ingestion through Snowpipe more frequently, thus increasing the cost
https://docs.snowflake.com/en/user-guide/data-load-snowpipe-streaming-kafka
Answer is A and is validated