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AWS Certified Data Engineer Associate DEA-C01 Practice Question

An ecommerce company stores order transactions in an on-premises MySQL database. Business analysts view near-real-time dashboards in Amazon QuickSight and need new transactions to appear in the dataset within 15 minutes of being committed. The company wants a fully managed, cost-effective solution that continuously lands the data as JSON files in an Amazon S3 data lake. Which ingestion approach meets these requirements?

  • Schedule an AWS Glue crawler and ETL job to extract a full snapshot from the MySQL database every hour and write the data to Amazon S3 in Parquet format.

  • Create an AWS DMS CDC task that streams changes from the MySQL binlog to an Amazon Kinesis Data Streams stream. Configure an Amazon Data Firehose delivery stream that uses this Kinesis stream as its source and delivers JSON records to Amazon S3 with a 60-second buffer interval.

  • Deploy an AWS Snowcone device in the data center to collect transactions locally and ship the device to AWS once a week for ingestion into S3.

  • Use AWS DataSync to transfer daily exported CSV files from the database server to an S3 bucket.

AWS Certified Data Engineer Associate DEA-C01
Data Ingestion and Transformation
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