Question 327 of 1,786
Data Ingestion and TransformationeasyMultiple ChoiceObjective-mapped

Kinesis Data Firehose for IoT Data Ingestion to S3

This DEA-C01 practice question tests your understanding of data ingestion and transformation. Compare every option against the stated constraints before choosing — the best answer satisfies all requirements, not just the most obvious one. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.

A data engineer is ingesting streaming data from thousands of IoT devices into AWS. The data is JSON-formatted and must be stored in Amazon S3 for long-term analytics. Which service is most appropriate for real-time ingestion and routing to S3?

Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

Amazon Kinesis Data Firehose

Amazon Kinesis Data Firehose is the most appropriate service because it is designed for real-time ingestion of streaming data and can directly deliver data to Amazon S3 without requiring custom code. It automatically handles buffering, compression, and partitioning of JSON data, making it ideal for long-term analytics storage.

Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Amazon SQS

    Why it's wrong here

    SQS is a message queue; it does not natively write to S3.

  • Amazon Kinesis Data Firehose

    Why this is correct

    Kinesis Data Firehose can deliver streaming data directly to S3 without additional code.

    Related concept

    Read the scenario before looking for a memorised answer.

  • Amazon Kinesis Data Streams

    Why it's wrong here

    Kinesis Data Streams is a real-time data streaming service but requires a consumer to write to S3.

  • AWS Glue

    Why it's wrong here

    AWS Glue is a batch ETL service, not designed for real-time ingestion.

Common exam traps

Common exam trap: answer the scenario, not the keyword

The trap here is that candidates often confuse Kinesis Data Streams with Kinesis Data Firehose, assuming both can directly write to S3, but Data Streams requires a downstream consumer to perform the write, making Firehose the correct choice for direct, managed ingestion to S3.

Detailed technical explanation

How to think about this question

Kinesis Data Firehose uses a buffer interval (default 60 seconds) and buffer size (default 5 MB) to batch records before writing to S3, which can be tuned for near-real-time delivery. It also supports optional data transformation via Lambda and can automatically partition data by date/time prefixes (e.g., year/month/day/hour) for efficient querying in analytics tools like Athena. In a real-world IoT scenario, Firehose can handle thousands of records per second and seamlessly scale without provisioning shards, unlike Kinesis Data Streams.

KKey Concepts to Remember

  • Read the scenario before looking for a memorised answer.
  • Find the constraint that changes the correct option.
  • Eliminate answers that are true in general but not in this case.

TExam Day Tips

  • Watch for words such as best, first, most likely and least administrative effort.
  • Review why wrong options are wrong, not only why the correct option is correct.

Key takeaway

Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.

Real-world example

How this comes up in practice

A media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.

Quick reference

AWS S3 Storage Class Comparison

Storage ClassMin DurationRetrievalUse Case
S3 StandardNoneImmediateFrequently accessed data
S3 Standard-IA30 daysImmediateInfrequent access, rapid retrieval
S3 One Zone-IA30 daysImmediateNon-critical infrequent data
S3 Intelligent-TieringNoneImmediate–hoursUnknown or changing access patterns
S3 Glacier Instant90 daysMillisecondsArchive with instant retrieval
S3 Glacier Flexible90 daysMinutes–hoursArchive, flexible retrieval
S3 Glacier Deep Archive180 daysHoursLong-term compliance archive

What to study next

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FAQ

Questions learners often ask

What does this DEA-C01 question test?

Data Ingestion and Transformation — This question tests Data Ingestion and Transformation — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: Amazon Kinesis Data Firehose — Amazon Kinesis Data Firehose is the most appropriate service because it is designed for real-time ingestion of streaming data and can directly deliver data to Amazon S3 without requiring custom code. It automatically handles buffering, compression, and partitioning of JSON data, making it ideal for long-term analytics storage.

What should I do if I get this DEA-C01 question wrong?

Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.

What is the key concept behind this question?

Read the scenario before looking for a memorised answer.

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Last reviewed: Jul 4, 2026

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This DEA-C01 practice question is part of Courseiva's free Amazon Web Services certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the DEA-C01 exam.