- A
Ability to compress data before delivery
Why wrong: Both can compress data before delivery.
- B
Ability to encrypt data at rest
Why wrong: Both services support encryption at rest.
- C
Need for custom data processing using AWS Lambda
Kinesis Data Streams supports custom processing with Lambda, Firehose has limited transformation.
- D
Data retention requirements
Kinesis Data Streams retains data up to 365 days, Firehose does not retain data.
- E
Latency requirements for data delivery to S3
Kinesis Data Firehose delivers data within 60 seconds, while Kinesis Data Streams requires custom consumer.
Quick Answer
The answer is latency requirements for data delivery to S3, along with the need for custom processing and data retention duration. Kinesis Data Streams is designed for real-time, sub-second processing where you need to write custom consumers to analyze data as it arrives, and it retains data for up to 365 days for replay. In contrast, Kinesis Data Firehose is a fully managed, near-real-time delivery service that automatically batches and loads data into destinations like S3, Redshift, or Elasticsearch, but it does not support custom processing or long-term retention. On the AWS Certified Machine Learning Specialty MLS-C01 exam, this distinction tests your ability to match ingestion requirements to the right service, often appearing in scenario-based questions where you must choose between low-latency custom analytics and automated, simpler delivery. A common trap is assuming both handle streaming data identically, but Firehose lacks the shard-level control and replay capability of Streams. Remember: Streams for custom, real-time processing and replay; Firehose for automated, near-real-time delivery to storage.
MLS-C01 Data Engineering Practice Question
This MLS-C01 practice question tests your understanding of data engineering. 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.
Which THREE factors should be considered when choosing between Amazon Kinesis Data Streams and Amazon Kinesis Data Firehose for a real-time data ingestion pipeline? (Choose 3.)
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
Need for custom data processing using AWS Lambda
Kinesis Data Streams provides custom processing with shard-level throughput and retention up to 365 days. Firehose automatically delivers to destinations like S3, Redshift, and Elasticsearch with near-real-time latency. Option A is wrong because both support encryption. Option D is wrong because both support compression before delivery. Option E is wrong because both can handle streaming data, but Firehose is simpler for delivery to S3.
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.
- ✗
Ability to compress data before delivery
Why it's wrong here
Both can compress data before delivery.
- ✗
Ability to encrypt data at rest
Why it's wrong here
Both services support encryption at rest.
- ✓
Need for custom data processing using AWS Lambda
Why this is correct
Kinesis Data Streams supports custom processing with Lambda, Firehose has limited transformation.
Related concept
Static NAT maps one inside address to one outside address.
- ✓
Data retention requirements
Why this is correct
Kinesis Data Streams retains data up to 365 days, Firehose does not retain data.
Related concept
Static NAT maps one inside address to one outside address.
- ✓
Latency requirements for data delivery to S3
Why this is correct
Kinesis Data Firehose delivers data within 60 seconds, while Kinesis Data Streams requires custom consumer.
Related concept
Static NAT maps one inside address to one outside address.
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 MLS-C01 NAT questions on configuration and troubleshooting.
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FAQ
Questions learners often ask
What does this MLS-C01 question test?
Data Engineering — This question tests Data Engineering — Static NAT maps one inside address to one outside address..
What is the correct answer to this question?
The correct answer is: Need for custom data processing using AWS Lambda — Kinesis Data Streams provides custom processing with shard-level throughput and retention up to 365 days. Firehose automatically delivers to destinations like S3, Redshift, and Elasticsearch with near-real-time latency. Option A is wrong because both support encryption. Option D is wrong because both support compression before delivery. Option E is wrong because both can handle streaming data, but Firehose is simpler for delivery to S3.
What should I do if I get this MLS-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 MLS-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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Last reviewed: Jun 20, 2026
This MLS-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 MLS-C01 exam.
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