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Question 124 - ARA-C01 discussion

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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?

A.
Snowflake Connector for Kafka
Answers
A.
Snowflake Connector for Kafka
B.
Snowflake streams
Answers
B.
Snowflake streams
C.
Snowpipe
Answers
C.
Snowpipe
D.
Spark
Answers
D.
Spark
Suggested answer: A, C

Explanation:

Snowflake Connector for Kafka and Snowpipe are two ingestion methods that can be used to load near real-time data by using the messaging services provided by a cloud provider. Snowflake Connector for Kafka enables you to stream structured and semi-structured data from Apache Kafka topics into Snowflake tables. Snowpipe enables you to load data from files that are continuously added to a cloud storage location, such as Amazon S3 or Azure Blob Storage. Both methods leverage Snowflake's micro-partitioning and columnar storage to optimize data ingestion and query performance. Snowflake streams and Spark are not ingestion methods, but rather components of the Snowflake architecture. Snowflake streams provide change data capture (CDC) functionality by tracking data changes in a table. Spark is a distributed computing framework that can be used to process large-scale data and write it to Snowflake using the Snowflake Spark Connector.Reference:

Snowflake Connector for Kafka

Snowpipe

Snowflake Streams

Snowflake Spark Connector

asked 23/09/2024
adir tamam
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