Question 303 of 1,755
Exploratory Data AnalysishardMultiple ChoiceObjective-mapped

Quick Answer

The correct answer is rank transformation. This technique works by replacing each value in the target variable with its rank order within the dataset, which completely removes the influence of extreme outliers while perfectly preserving the relative order of observations. For a regression problem with a long-tail distribution, this transformation is ideal because it treats the outlier as just another data point in the sorted sequence, eliminating its leverage on the model without distorting the underlying ranking. On the AWS Certified Machine Learning Specialty MLS-C01 exam, this question tests your understanding of how different transformations handle outlier influence—a common trap is choosing log or Box-Cox transformations, which reduce skew but still allow extreme values to affect the regression coefficients. Remember that rank transformation is the only option here that discards magnitude entirely to focus solely on order. Memory tip: think “rank = rank order, not magnitude” to avoid confusing it with scaling or power transforms.

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 machine learning engineer is analyzing a dataset for a regression problem. The target variable has a long-tail distribution with extreme outliers. The engineer wants to reduce the influence of outliers while preserving the relative order of values. Which data transformation should the engineer apply to the target variable?

Question 1hardmultiple choice
Full question →

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

Rank transformation

Option B is correct because the rank transformation maps values to their ranks, eliminating the impact of outliers while preserving order. Option A is wrong because Box-Cox requires positive values and may not reduce outlier influence. Option C is wrong because log transformation can reduce skew but still allows outliers to remain influential. Option D is wrong because min-max scaling does not reduce outlier influence; it compresses the range.

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.

  • Min-max normalization

    Why it's wrong here

    Min-max scaling preserves the relative distances and does not reduce outlier influence.

  • Box-Cox transformation

    Why it's wrong here

    Box-Cox assumes positive values and may not adequately handle extreme outliers.

  • Rank transformation

    Why this is correct

    Rank transformation replaces values with their rank order, making the distribution uniform and robust to outliers.

    Related concept

    Static NAT maps one inside address to one outside address.

  • Log transformation

    Why it's wrong here

    Log transformation reduces skew but large outliers still have a significant impact.

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 cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.

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.

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.

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

What is the correct answer to this question?

The correct answer is: Rank transformation — Option B is correct because the rank transformation maps values to their ranks, eliminating the impact of outliers while preserving order. Option A is wrong because Box-Cox requires positive values and may not reduce outlier influence. Option C is wrong because log transformation can reduce skew but still allows outliers to remain influential. Option D is wrong because min-max scaling does not reduce outlier influence; it compresses the range.

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.

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 →

How Courseiva writes practice questions · Editorial policy

Last reviewed: Jun 20, 2026

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.

Loading comments…

Sign in to join the discussion.

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.