Quick Answer
The answer is a line plot of daily fraud rate and non-fraud rate. This visualization is correct because temporal pattern analysis for fraud requires comparing the proportion of fraudulent to legitimate transactions over time, and a dual-line time series plot directly reveals trends, seasonality, or sudden spikes in fraud activity that a single aggregated count would obscure. On the AWS Certified Machine Learning Specialty MLS-C01 exam, this question tests your ability to choose the right EDA technique for imbalanced classification—a common trap is selecting a bar chart of raw counts, which fails to normalize for the massive class imbalance (500 frauds vs. 1M non-frauds), or a scatter plot that becomes unreadable with a million points. The key insight is that fraud detection hinges on rate changes, not absolute numbers. Memory tip: "Rate lines reveal the crime; raw counts hide the time."
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 evaluating a dataset for building a fraud detection model. The dataset has 1 million transactions, but only 500 are fraudulent. The engineer wants to understand the distribution of fraudulent vs. non-fraudulent transactions over time. Which EDA visualization is most suitable?
Bar chart of transaction count per day with colors for fraud status
Why wrong: Why A is wrong
Scatter plot of transactions over time colored by fraud status
Why wrong: Why B is wrong
Box plot of transaction amount per month grouped by fraud status
Why wrong: Why C is wrong
Line plot of daily fraud rate and non-fraud rate
Why D is correct
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Line plot of daily fraud rate and non-fraud rate
Option D is correct because a time series line plot with two lines (fraud vs. non-fraud) shows temporal patterns. Option A is wrong because bar chart of counts per day is less effective for two categories. Option B is wrong because scatter plot with 1 million points is overwhelming. Option C is wrong because box plot shows distribution per time period but not temporal trend.
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
For each option: why learners choose it and why it is or isn't the right answer here.
Bar chart of transaction count per day with colors for fraud status
Why it's wrong here
Why A is wrong
Scatter plot of transactions over time colored by fraud status
Why it's wrong here
Why B is wrong
Box plot of transaction amount per month grouped by fraud status
Why it's wrong here
Why C is wrong
Line plot of daily fraud rate and non-fraud rate
Why this is correct
Why D is correct
Related concept
Static NAT maps one inside address to one outside address.
Common exam traps
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
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.
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
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
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.
Exploratory Data Analysis — study guide chapter
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FAQ
Exploratory Data Analysis — This question tests Exploratory Data Analysis — Static NAT maps one inside address to one outside address..
The correct answer is: Line plot of daily fraud rate and non-fraud rate — Option D is correct because a time series line plot with two lines (fraud vs. non-fraud) shows temporal patterns. Option A is wrong because bar chart of counts per day is less effective for two categories. Option B is wrong because scatter plot with 1 million points is overwhelming. Option C is wrong because box plot shows distribution per time period but not temporal trend.
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.
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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