Which AWS service ingests third-party SaaS data into S3 for Redshift with least overhead?
A media company uses software as a service (SaaS) applications to gather data by using third-party tools. The company needs to store the data in an Amazon S3 bucket. The company will use Amazon Redshift to perform analytics based on the data. Which AWS service or feature will meet these requirements with the LEAST operational overhead?
Community Votes
100% of anonymous learners picked answer B. Votes are pick records left by other test-takers — they are not the verified answer.
Community Insight
The question tests matching a no-code, fully managed SaaS-to-AWS ingestion path to a low-operations requirement — the trap is choosing a streaming or cataloging service that adds infrastructure or metadata work but no SaaS connector.
Amazon AppFlow is a fully managed integration service built to move data between SaaS applications and AWS storage and analytics services such as Amazon S3 and Amazon Redshift. This page confirms why AppFlow (B) satisfies the SaaS-to-S3-to-Redshift requirement with the least operational overhead.
Candidates pick Amazon Kinesis or Amazon MSK because "ingest data" sounds like streaming, but both require you to build and operate producers, clusters or streams and neither provides ready-made SaaS application connectors.
Community Discussion (5 comments)
Comments & Corrections
No comments yet — spotted an error or have a note? Share it below.
Expert Analysis
Why the Answer Is Correct
Amazon AppFlow is a fully managed integration service whose explicit purpose is to transfer data between SaaS applications (for example Salesforce, Marketo, Slack, ServiceNow, Zendesk) and AWS services such as Amazon S3 and Amazon Redshift. That is precisely the scenario: third-party tools collect the media company's data, and the data must land in S3 for later Redshift analytics. AppFlow provides built-in connectors, scheduled or event-driven flows, and optional transformations, so there is no server, cluster, or producer code to manage — the definition of "least operational overhead." As tgv quoted from the documentation, AppFlow is "fully-managed integration service that enables you to securely exchange data between software as a service (SaaS) applications … and AWS services." The flow tutorial link GiorgioGss shared shows the same point operationally: a flow from a SaaS source to an S3 bucket is configured in the console in a few steps. pypelyncar also notes that AppFlow can load ingested records onward into Redshift, covering both halves of the requirement.Why the Other Options Are Wrong
Amazon MSK (A) is a managed Apache Kafka service: it removes some broker patching work, but you still design topics, run producers and consumers, and there is no native SaaS connector for pulling third-party application data. Amazon Kinesis (D) is likewise a streaming platform — Kinesis Data Streams or Firehose — where you must write and operate the ingestion producer, and it is aimed at continuous high-volume streaming rather than scheduled SaaS record pulls. AWS Glue Data Catalog (C) is only a metadata repository for tables, schemas, and partitions; it stores no data and performs no ingestion, so it cannot move SaaS records into S3 at all. Each of these adds operational burden or simply does not address the SaaS integration requirement.Community Comment Notes
All recorded votes (100 of them) land on B, and the reasoning is consistent rather than copy-paste: tgv quotes the AppFlow definition from AWS documentation, pypelyncar emphasizes the "minimal operational overhead" phrasing plus Redshift integration, GiorgioGss supplies the AppFlow flow tutorial link, and rralucard_ links AWS architecture guidance on integrating third-party SaaS data with AppFlow. kj07 simply states that "B seems the right choice here." No commenter argues for MSK, Kinesis, or Glue Data Catalog, which reinforces that the distractors are eliminated on both the "no SaaS connector" and "more to operate" grounds.Official Reference
Exam Strategy
When a stem mentions third-party SaaS applications plus a destination AWS service plus "least operational overhead," scan for AppFlow before any streaming service. Reserve Kinesis and MSK for custom, code-driven streaming pipelines, and remember Glue Data Catalog is metadata only, never a mover of data.
Frequently Asked Questions
Why is Amazon Kinesis wrong when the company needs to ingest data into S3?
Kinesis is a streaming platform: you must build and operate producers and streams yourself, and it offers no ready-made connectors for third-party SaaS applications, so it adds overhead.
Can AWS Glue Data Catalog move SaaS data into Amazon S3?
No. Glue Data Catalog only stores table and schema metadata for analytics engines; it does not ingest or transfer data, so it cannot satisfy this requirement.
Related Analysis
Practice All DEA-C01 Questions
Access 100 questions with complete answers and detailed explanations.
View Full DEA-C01 Practice Test →