DAA-C01 Exam Dumps | You are tasked with building a data ingestion pipeline to retrieve data from a transactional database

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Question 77/151

You are tasked with building a data ingestion pipeline to retrieve data from a transactional database using Change Data Capture (CDC).The source database is a MySQL instance. Which of the following approaches is MOST suitable for efficiently retrieving and loading the changed data into Snowflake while minimizing latency?

A. Use a scheduled task to periodically query the MySQL database for records modified within a specific time window and load them into Snowflake using COPY INTO. Implement a timestamp-based or version-based change tracking mechanism in the query.

B. Configure MySQL binary log replication to a cloud storage location (e.g., AWS S3, Azure Blob Storage, Google Cloud Storage) and use Snowpipe to continuously ingest the binary log files into Snowflake.

C. Use a third-party CDC tool that supports MySQL as a source and Snowflake as a target. Configure the tool to capture changes from the MySQL binary logs and stream them directly into Snowflake tables.

D. Create a Snowpark Python UDF that connects to the MySQL database, reads the binary logs, and applies the changes directly to Snowflake tables.

E. Create a Snowflake external table pointing to the MySQL database. Use the external table to read data directly from the MySQL database into Snowflake tables.

Correct Answer: B,C

Options B and C are the most efficient and reliable for CDC. Option B leverages the MySQL binary logs directly. Configuring replication to cloud storage and using Snowpipe provides a continuous and near real-time ingestion pipeline. Option C, using a dedicated CDC tool, offers a managed solution that handles the complexities of binary log parsing, change tracking, and data transformation. Option A is less efficient due to the need for periodic polling and potential data loss if changes occur between polls. Option D involves significant coding complexity and potential performance issues. Option E is generally not recommended for transactional data due to performance limitations.

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