SAA-C03 Question #564: Real Exam Question with Answer & Explanation

Question

A company is designing an application on AWS that provides real-time dashboards. The dashboard data comes from on-premises databases that use a variety of schemas and formats. The company needs a solution to transfer and transform the data to AWS with minimal latency. Which solution will meet these requirements?

Options

• AIntegrate the dashboard with Amazon Managed Streaming for Apache Kafka (Amazon MSK) to
• BUse Amazon Data Firehose to transfer the data to an Amazon S3 Bucket. Configure the
• CUse AWS Database Migration Service (AWS DMS) Schema Conversion to consolidate the on-
• DUse AWS DataSync to transfer data from the source databases to the dashboard application

Explanation

Amazon MSK is a fully managed, highly available Apache Kafka service for streaming data with low latency. Kafka Connect and stream processors enable ingest from heterogeneous sources and perform in-stream transformation before delivery to consumers (e.g., the dashboard service). This satisfies real-time updates from diverse schemas and formats. Kinesis alternatives could work, but among the given choices, MSK is the only streaming option designed for sub-second, continuous pipelines. Kinesis Data Firehose (B) buffers and batches data to S3 and is optimized for delivery to storage, not low-latency dashboards. AWS DMS schema conversion (C) focuses on database migration, not ongoing real-time, multi-format streaming for dashboards. AWS DataSync (D) is for file/object transfer, not database change streams. Hence, MSK best meets minimal-latency, transform-in-flight needs with managed operations.

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