- A
Set the buffer size to 1 MB and disable dynamic partitioning
Why wrong: 1 MB buffer may cause many small files; no partitioning.
- B
Use a Lambda function to process data and write to S3 with partitioning
Why wrong: Adds latency and complexity; Firehose can do this natively.
- C
Use AWS Glue streaming ETL to read from Firehose and write to S3
Why wrong: Unnecessary intermediate step; Firehose delivers directly to S3.
- D
Set the buffer interval to 60 seconds and enable dynamic partitioning
Buffer interval controls delivery frequency; dynamic partitioning creates time-based folders.
Question 579 of 1,755
MLS-C01 Data Engineering Practice Question
This MLS-C01 practice question tests your understanding of data engineering. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. 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.
An e-commerce company uses Amazon Kinesis Data Firehose to deliver clickstream data to Amazon S3. The data arrives at unpredictable rates, with occasional bursts. The company needs to ensure data is delivered within 60 seconds of ingestion, and the data must be partitioned by year/month/day/hour. Which configuration meets these requirements?
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
✓
Set the buffer interval to 60 seconds and enable dynamic partitioning
Option D is correct because setting the buffer interval to 60 seconds ensures data is flushed to Amazon S3 within that time window, meeting the 60-second delivery requirement. Enabling dynamic partitioning allows Firehose to automatically partition data by year/month/day/hour based on the data's timestamp, without needing custom code or additional services.
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.
- ✗
Set the buffer size to 1 MB and disable dynamic partitioning
Why it's wrong here
1 MB buffer may cause many small files; no partitioning.
- ✗
Use a Lambda function to process data and write to S3 with partitioning
Why it's wrong here
Adds latency and complexity; Firehose can do this natively.
- ✗
Use AWS Glue streaming ETL to read from Firehose and write to S3
Why it's wrong here
Unnecessary intermediate step; Firehose delivers directly to S3.
- ✓
Set the buffer interval to 60 seconds and enable dynamic partitioning
Why this is correct
Buffer interval controls delivery frequency; dynamic partitioning creates time-based folders.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates may think a Lambda function or Glue ETL is required for custom partitioning, when Firehose's native dynamic partitioning can handle time-based partitioning directly with a simple configuration change.
Detailed technical explanation
How to think about this question
Kinesis Data Firehose's buffer interval (default 300 seconds) and buffer size (default 5 MB) control when data is delivered; setting the interval to 60 seconds forces a flush every 60 seconds regardless of size. Dynamic partitioning uses inline parsing with Hive-style prefixes (e.g., 'year=!{timestamp:yyyy}/month=!{timestamp:MM}/day=!{timestamp:dd}/hour=!{timestamp:HH}') to automatically create S3 prefixes, and requires enabling the feature and specifying a partitioning key from the data or metadata.
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 Class | Min Duration | Retrieval | Use Case |
|---|---|---|---|
| S3 Standard | None | Immediate | Frequently accessed data |
| S3 Standard-IA | 30 days | Immediate | Infrequent access, rapid retrieval |
| S3 One Zone-IA | 30 days | Immediate | Non-critical infrequent data |
| S3 Intelligent-Tiering | None | Immediate–hours | Unknown or changing access patterns |
| S3 Glacier Instant | 90 days | Milliseconds | Archive with instant retrieval |
| S3 Glacier Flexible | 90 days | Minutes–hours | Archive, flexible retrieval |
| S3 Glacier Deep Archive | 180 days | Hours | Long-term compliance archive |
What to study next
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FAQ
Questions learners often ask
What does this MLS-C01 question test?
Data Engineering — This question tests Data Engineering — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Set the buffer interval to 60 seconds and enable dynamic partitioning — Option D is correct because setting the buffer interval to 60 seconds ensures data is flushed to Amazon S3 within that time window, meeting the 60-second delivery requirement. Enabling dynamic partitioning allows Firehose to automatically partition data by year/month/day/hour based on the data's timestamp, without needing custom code or additional services.
What should I do if I get this MLS-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
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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