- A
Use the AWS CLI to download the entire file and then use head to get the first lines.
Why wrong: Downloading the entire 2 GB file is costly and slow.
- B
Use S3 Select with a SQL query to retrieve the first 1000 rows.
S3 Select efficiently retrieves only the required subset.
- C
Use the S3 Range header to read the first 1 MB of the file and parse lines.
Why wrong: Range read may not align with line boundaries and still transfers data.
- D
Use Amazon Athena to query the file with LIMIT 1000.
Why wrong: Athena scans the entire file, incurring full cost.
Quick Answer
The answer is to use S3 Select with a SQL query to retrieve the first 1000 rows. This approach is correct because S3 Select enables you to efficiently read a subset of a large S3 object by applying server-side filtering with standard SQL expressions, returning only the matching data and drastically reducing both data transfer and cost. On the AWS Certified Machine Learning Specialty MLS-C01 exam, this question tests your understanding of cost-optimized data access patterns for large datasets, often contrasting S3 Select with less efficient methods like full object downloads or byte-range reads that don’t align with record boundaries. A common trap is assuming a Range header works for line-based extraction, but it operates on raw bytes, not logical rows, making S3 Select the only serverless option that filters by content. Remember the mnemonic: "Select for rows, Range for bytes" to avoid costly full scans during exploratory data analysis.
MLS-C01 Exploratory Data Analysis Practice Question
This MLS-C01 practice question tests your understanding of exploratory data analysis. 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 scientist is exploring a dataset stored as a single 2 GB object in S3. The scientist wants to read only a subset of the file (e.g., the first 1000 lines) to perform initial data inspection. Which approach should the scientist take to minimize data transfer and cost?
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 Select with a SQL query to retrieve the first 1000 rows.
Option C is correct because S3 Select allows retrieving a subset of data using SQL-like queries, reducing data transfer. Option A is wrong because downloading the entire 2 GB file is inefficient and costly. Option B is wrong because the S3 range read (with Range header) can retrieve bytes, but the user wants lines, not bytes; it's possible but less convenient and still transfers the entire file if lines are not aligned. Option D is wrong because Athena scans the entire file; it's not efficient for a single large file.
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.
- ✗
Use the AWS CLI to download the entire file and then use head to get the first lines.
Why it's wrong here
Downloading the entire 2 GB file is costly and slow.
- ✓
Use S3 Select with a SQL query to retrieve the first 1000 rows.
Why this is correct
S3 Select efficiently retrieves only the required subset.
Clue confirmation
The clue words "first", "minimum / minimize" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Use the S3 Range header to read the first 1 MB of the file and parse lines.
Why it's wrong here
Range read may not align with line boundaries and still transfers data.
- ✗
Use Amazon Athena to query the file with LIMIT 1000.
Why it's wrong here
Athena scans the entire file, incurring full cost.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Detailed technical explanation
How to think about this question
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
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.
- Use explanations to understand the rule behind the answer.
TExam Day Tips
- Underline the problem statement mentally.
- 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 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.
Identify which MLS-C01 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
- →
Exploratory Data Analysis — study guide chapter
Learn the concepts, then practise the questions
- →
Exploratory Data Analysis 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?
Exploratory Data Analysis — This question tests Exploratory Data Analysis — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Use S3 Select with a SQL query to retrieve the first 1000 rows. — Option C is correct because S3 Select allows retrieving a subset of data using SQL-like queries, reducing data transfer. Option A is wrong because downloading the entire 2 GB file is inefficient and costly. Option B is wrong because the S3 range read (with Range header) can retrieve bytes, but the user wants lines, not bytes; it's possible but less convenient and still transfers the entire file if lines are not aligned. Option D is wrong because Athena scans the entire file; it's not efficient for a single large file.
What should I do if I get this MLS-C01 question wrong?
Identify which MLS-C01 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
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?
Read the scenario before looking for a memorised answer.
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 →
Keep practising
More MLS-C01 practice questions
- A company is using Amazon Kinesis Data Streams to ingest real-time clickstream data. The data is consumed by a Lambda fu…
- A team is building a data pipeline to process terabytes of log data daily using Amazon EMR. The data arrives in 5-minute…
- A data science team is building a real-time fraud detection system. Transactions are streamed via Amazon Kinesis Data St…
- A company uses Amazon SageMaker to train and deploy machine learning models. The training data is stored in Amazon S3 (P…
- A data engineer is building a data pipeline to process user clickstream data. The data arrives as JSON files in an S3 bu…
- A data engineering team is designing a data lake on AWS for machine learning workloads. The data includes structured, se…
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.