- A
Use S3 Intelligent-Tiering for all data, and set a lifecycle policy to transition to S3 Glacier Deep Archive after 30 days.
Intelligent-Tiering automatically optimizes costs by moving data to lower-cost tiers when not accessed, and it provides high durability.
- B
Use S3 One Zone-IA for all data, and set a lifecycle policy to transition to S3 Glacier Deep Archive after 30 days.
Why wrong: S3 One Zone-IA does not provide the durability of multiple Availability Zones; data loss risk is higher.
- C
Use S3 Standard for all data, and set a lifecycle policy to transition to S3 Glacier Deep Archive after 30 days.
Why wrong: S3 Standard is more expensive than necessary if data is accessed only for a short period.
- D
Use S3 Glacier Instant Retrieval for all data, and set a lifecycle policy to transition to S3 Glacier Deep Archive after 30 days.
Why wrong: Glacier Instant Retrieval is designed for rarely accessed data that requires millisecond retrieval; it is more expensive than Standard for data that is accessed frequently.
Quick Answer
The answer is S3 Intelligent-Tiering for the first 30 days, with a lifecycle policy to transition to S3 Glacier Deep Archive after that period. This is correct because Intelligent-Tiering automatically monitors access patterns and moves data between frequent and infrequent access tiers, making it cost-effective for genomics data that has high initial processing but unpredictable subsequent usage—a perfect fit for a data lake with high churn. On the AWS Certified Machine Learning Specialty MLS-C01 exam, this scenario tests your ability to balance storage cost against durability and lifecycle management for ML training data, where a common trap is choosing S3 Standard for its low-latency performance, forgetting that Intelligent-Tiering offers the same latency at lower cost for data with changing access. Another pitfall is S3 One Zone-IA, which sacrifices durability across Availability Zones—critical for research data. Remember the memory tip: “Intelligent for the initial, Glacier for the final” to recall that lifecycle transitions from a smart tier to a deep archive minimize costs without compromising durability.
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.
A research institution is building a data lake to store genomics data. Each experiment generates multiple files totaling about 500 GB. The data is stored in Amazon S3 and needs to be processed by multiple machine learning (ML) training jobs running on Amazon SageMaker. The data has a high churn rate; after 30 days, most data becomes irrelevant and should be moved to Amazon S3 Glacier Deep Archive. The institution wants to minimize storage costs while maintaining data durability. Which S3 storage class should they use for the first 30 days?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue:
"first"Why it matters: Order matters here. You are being tested on which action comes before the others — not which action is generally useful.
Clue:
"minimum / minimize"Why it matters: Asks for the least resource use — fewest addresses, smallest subnet, lowest overhead. Eliminate over-provisioned options even if they would technically work.
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
Use S3 Intelligent-Tiering for all data, and set a lifecycle policy to transition to S3 Glacier Deep Archive after 30 days.
Option C is correct because S3 Intelligent-Tiering automatically moves data between access tiers based on usage, which is ideal for data with unknown or changing access patterns. Option A is wrong because S3 Standard is more expensive for data that may not be accessed frequently after the initial processing. Option B is wrong because S3 One Zone-IA is not durable across AZs. Option D is wrong because S3 Glacier Instant Retrieval is for long-lived, rarely accessed data requiring millisecond access; not cost-effective for the first 30 days.
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.
- ✓
Use S3 Intelligent-Tiering for all data, and set a lifecycle policy to transition to S3 Glacier Deep Archive after 30 days.
Why this is correct
Intelligent-Tiering automatically optimizes costs by moving data to lower-cost tiers when not accessed, and it provides high durability.
Clue confirmation
The clue words "first", "minimum / minimize" in the question point toward this answer.
Related concept
Static NAT maps one inside address to one outside address.
- ✗
Use S3 One Zone-IA for all data, and set a lifecycle policy to transition to S3 Glacier Deep Archive after 30 days.
Why it's wrong here
S3 One Zone-IA does not provide the durability of multiple Availability Zones; data loss risk is higher.
- ✗
Use S3 Standard for all data, and set a lifecycle policy to transition to S3 Glacier Deep Archive after 30 days.
Why it's wrong here
S3 Standard is more expensive than necessary if data is accessed only for a short period.
- ✗
Use S3 Glacier Instant Retrieval for all data, and set a lifecycle policy to transition to S3 Glacier Deep Archive after 30 days.
Why it's wrong here
Glacier Instant Retrieval is designed for rarely accessed data that requires millisecond retrieval; it is more expensive than Standard for data that is accessed frequently.
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 startup's cloud architect reviews their monthly bill and notices costs are higher than expected for a long-running batch job. Switching from on-demand instances to Reserved Instances — or using Spot/Preemptible VMs — can reduce compute costs by up to 72 %. Questions like this test whether you understand the tradeoffs between commitment, flexibility, and cost across cloud pricing models.
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.
- →
Data Engineering — study guide chapter
Learn the concepts, then practise the questions
- →
Data Engineering practice questions
Targeted practice on this topic area only
- →
All MLS-C01 questions
1,755 questions across all exam domains
- →
AWS Certified Machine Learning Specialty MLS-C01 study guide
Full concept coverage aligned to exam objectives
- →
MLS-C01 practice test guide
How to use practice tests most effectively before exam day
Related practice questions
Related MLS-C01 practice-question pages
Use these pages to review the topic behind this question. This is how one missed question becomes focused revision.
Data Engineering practice questions
Practise MLS-C01 questions linked to Data Engineering.
Machine Learning Implementation and Operations practice questions
Practise MLS-C01 questions linked to Machine Learning Implementation and Operations.
Modeling practice questions
Practise MLS-C01 questions linked to Modeling.
Exploratory Data Analysis practice questions
Practise MLS-C01 questions linked to Exploratory Data Analysis.
MLS-C01 fundamentals practice questions
Practise MLS-C01 questions linked to MLS-C01 fundamentals.
MLS-C01 scenario practice questions
Practise MLS-C01 questions linked to MLS-C01 scenario.
MLS-C01 troubleshooting practice questions
Practise MLS-C01 questions linked to MLS-C01 troubleshooting.
Practice this exam
Start a free MLS-C01 practice session
Short sessions build daily habit. Longer sessions build exam-day stamina. Try a timed session to simulate real conditions.
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: Use S3 Intelligent-Tiering for all data, and set a lifecycle policy to transition to S3 Glacier Deep Archive after 30 days. — Option C is correct because S3 Intelligent-Tiering automatically moves data between access tiers based on usage, which is ideal for data with unknown or changing access patterns. Option A is wrong because S3 Standard is more expensive for data that may not be accessed frequently after the initial processing. Option B is wrong because S3 One Zone-IA is not durable across AZs. Option D is wrong because S3 Glacier Instant Retrieval is for long-lived, rarely accessed data requiring millisecond access; not cost-effective for the first 30 days.
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.
Are there clue words in this question I should notice?
Yes — watch for: "first", "minimum / minimize". Order matters here. You are being tested on which action comes before the others — not which action is generally useful.
What is the key concept behind this question?
Static NAT maps one inside address to one outside address.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
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.
Question Discussion
Share a tip, memory trick, or ask about the reasoning behind this question. Do not post real exam questions, leaked content, braindumps, or copyrighted exam material. Comments are moderated and may be removed without notice.
Sign in to join the discussion.