Question 495 of 1,786
Data Ingestion and TransformationeasyMultiple SelectObjective-mapped

Quick Answer

The answer is Amazon Kinesis Data Firehose and Amazon AppFlow. Kinesis Data Firehose is a fully managed service that can directly ingest streaming data from sources like social media feeds and deliver it to destinations such as Amazon S3 or Redshift without requiring any custom code, as it handles buffering, transformation, and loading automatically. AppFlow complements this by providing built-in connectors for SaaS applications, including social media platforms, enabling direct streaming ingestion without writing custom code. On the AWS Certified Data Engineer Associate DEA-C01 exam, this question tests your understanding of managed ingestion services versus those that require custom producers, with a common trap being to select Kinesis Data Streams—which needs a custom producer to send data—or AWS Glue, which lacks direct social media connectors. Remember the memory tip: “Firehose for raw flow, AppFlow for app-to-cloud,” and you’ll avoid confusing these with services that demand manual coding.

DEA-C01 Data Ingestion and Transformation Practice Question

This DEA-C01 practice question tests your understanding of data ingestion and transformation. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. 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 company wants to ingest streaming data from social media feeds into AWS for real-time analytics. Which TWO services can directly ingest streaming data without writing custom code? (Choose TWO.)

Question 1easymulti select
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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 AppFlow

Amazon Kinesis Data Firehose can directly ingest streaming data and deliver to destinations. AWS Glue can stream from Kafka but not directly ingest from social media without custom connectors. Kinesis Data Streams requires producers to send data, not direct ingestion. AppFlow can ingest from SaaS applications including social media.

Key principle: NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated.

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 Glue

    Why it's wrong here

    Glue is an ETL service that can read from streaming sources like Kafka but doesn't directly ingest from social media APIs without custom code.

  • Amazon AppFlow

    Why this is correct

    AppFlow can ingest data from SaaS applications (including social media) directly into AWS.

    Related concept

    Static NAT maps one inside address to one outside address.

  • Amazon Kinesis Data Firehose

    Why this is correct

    Firehose can capture and load streaming data into AWS data stores and analytics tools.

    Related concept

    Static NAT maps one inside address to one outside address.

  • Amazon Kinesis Data Streams

    Why it's wrong here

    Kinesis Data Streams requires a producer to send data; it does not directly ingest from external APIs.

  • Amazon S3 Transfer Acceleration

    Why it's wrong here

    S3 Transfer Acceleration speeds up uploads to S3 but does not ingest streaming data.

Common exam traps

Common exam trap: NAT rules depend on direction and matching traffic

NAT is not only about the public address. The inside/outside interface roles and the ACL or rule that matches traffic are just as important.

Detailed technical explanation

How to think about this question

NAT questions usually test address translation, overload/PAT behaviour, static mappings and whether the right traffic is being translated. Read the interface direction and address terms carefully.

KKey Concepts to Remember

  • Static NAT maps one inside address to one outside address.
  • PAT allows many inside hosts to share one public address using ports.
  • Inside local and inside global describe the private and translated addresses.
  • NAT ACLs identify traffic for translation, not always security filtering.

TExam Day Tips

  • Identify inside and outside interfaces first.
  • Check whether the scenario needs static NAT, dynamic NAT or PAT.
  • Do not confuse NAT matching ACLs with normal packet-filtering intent.

Key takeaway

NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated.

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.

What to study next

Got this wrong? Here's your next step.

Review the four NAT address types (inside local, inside global, outside local, outside global), PAT port overload, and static vs dynamic NAT use cases. Then practise related DEA-C01 NAT questions on configuration and troubleshooting.

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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 — Static NAT maps one inside address to one outside address..

What is the correct answer to this question?

The correct answer is: Amazon AppFlow — Amazon Kinesis Data Firehose can directly ingest streaming data and deliver to destinations. AWS Glue can stream from Kafka but not directly ingest from social media without custom connectors. Kinesis Data Streams requires producers to send data, not direct ingestion. AppFlow can ingest from SaaS applications including social media.

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

Review the four NAT address types (inside local, inside global, outside local, outside global), PAT port overload, and static vs dynamic NAT use cases. Then practise related DEA-C01 NAT questions on configuration and troubleshooting.

What is the key concept behind this question?

Static NAT maps one inside address to one outside address.

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Same concept, more angles

1 more ways this is tested on DEA-C01

These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.

Variation 1. A company wants to ingest real-time data from a social media API into Amazon S3 for analysis. The API provides data as JSON records. Which AWS service is best suited for this ingestion?

easy
  • A.AWS Glue
  • B.Amazon Kinesis Data Firehose
  • C.Amazon Simple Queue Service (SQS)
  • D.Amazon DataZone

Why B: Option D is correct because Amazon Kinesis Data Firehose can capture and load streaming data into S3 with minimal latency. Option A is wrong because AWS Glue is ETL, not real-time ingestion. Option B is wrong because Amazon SQS is a message queue, not designed for direct S3 loading. Option C is wrong because Amazon DataZone is for data cataloging, not ingestion.

Last reviewed: Jun 20, 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.