Question 476 of 1,000
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MLA-C01 Practice Question: A data engineer needs to ingest streaming data…

This MLA-C01 practice question tests your understanding of mla-c01 exam topics. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. 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 needs to ingest streaming data from IoT devices into Amazon S3 for machine learning. The data arrives continuously and must be available for querying within minutes. Which service should be used to collect and deliver the streaming data 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 correct choice because it is a fully managed service designed to ingest streaming data in real time and automatically deliver it to destinations like Amazon S3 with near-real-time latency (typically 60 seconds minimum buffering). It handles data transformation, compression, and partitioning without requiring custom code, making it ideal for continuously arriving IoT data that must be queryable within minutes.

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.

  • AWS Database Migration Service (DMS)

    Why it's wrong here

    DMS is for database migration, not streaming data.

  • AWS Glue ETL job triggered by an event

    Why it's wrong here

    Glue ETL is batch-oriented, not designed for real-time streaming ingestion.

  • Amazon Kinesis Data Firehose

    Why this is correct

    Firehose is a fully managed service for loading streaming data into S3 with near-real-time delivery.

    Related concept

    Read the scenario before looking for a memorised answer.

  • Amazon S3 Transfer Acceleration

    Why it's wrong here

    Transfer Acceleration speeds up uploads to S3 but does not handle streaming ingestion.

Common exam traps

Common exam trap: answer the scenario, not the keyword

The trap here is that candidates confuse AWS Glue (a batch ETL service) with a streaming ingestion tool, or mistakenly think S3 Transfer Acceleration can handle continuous streaming data, when in fact only Kinesis Data Firehose provides the necessary buffering and automatic delivery for near-real-time streaming to S3.

Detailed technical explanation

How to think about this question

Kinesis Data Firehose buffers incoming data up to a configurable size (1 MB minimum) or interval (60 seconds minimum) before writing to S3, ensuring near-real-time delivery. It can also invoke AWS Lambda for custom transformations (e.g., JSON flattening) before delivery, and supports dynamic partitioning using inline parsing of data fields like timestamps or device IDs. In a real-world IoT scenario, Firehose can handle thousands of records per second from devices like temperature sensors, automatically partitioning data into S3 prefixes like `year=2025/month=03/day=15/` for efficient querying with Athena.

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

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FAQ

Questions learners often ask

What does this MLA-C01 question test?

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 correct choice because it is a fully managed service designed to ingest streaming data in real time and automatically deliver it to destinations like Amazon S3 with near-real-time latency (typically 60 seconds minimum buffering). It handles data transformation, compression, and partitioning without requiring custom code, making it ideal for continuously arriving IoT data that must be queryable within minutes.

What should I do if I get this MLA-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 MLA-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 MLA-C01 exam.