- A
Plot the time series data with a line plot
A line plot over time directly reveals seasonal patterns.
- B
Compute autocorrelation at different lags
Why wrong: Autocorrelation quantifies seasonality but is more advanced; visual inspection is simpler for confirmation.
- C
Create a scatter plot of traffic vs. day of week
Why wrong: Scatter plot may show pattern but line plot is better for time series.
- D
Plot a histogram of the traffic values
Why wrong: Histogram shows frequency distribution, not time patterns.
Quick Answer
The answer is to plot the time series data with a line plot. This is the correct EDA technique to confirm seasonality because a line plot directly visualizes the temporal sequence of data points, making recurring patterns—like traffic spikes every Sunday—immediately visible along the time axis. On the AWS Certified Machine Learning Specialty MLS-C01 exam, this question tests your understanding that while autocorrelation can quantify seasonality, visual inspection with a line plot is the most direct and intuitive first step in exploratory data analysis. A common trap is choosing autocorrelation, which is better for confirming the lag strength after you already suspect a pattern, or a histogram, which only shows value frequency without any time context. Remember the memory tip: “Line plots reveal time’s rhythm”—if you want to see a repeating cycle, plot it over time first.
MLS-C01 Exploratory Data Analysis Practice Question
This MLS-C01 practice question tests your understanding of exploratory data analysis. Examine the command output carefully: the correct answer depends on what the output actually shows, not on general recall alone. 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 ML team is analyzing a time series dataset of daily website traffic. They notice a pattern where traffic spikes every Sunday. Which EDA technique should they use to confirm this seasonality?
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
Plot the time series data with a line plot
Option A is correct because a line plot over time clearly shows weekly patterns. Option B is wrong because histograms show distribution of values, not time patterns. Option C is wrong because autocorrelation measures correlation with lagged values, but visual inspection is more direct for confirming seasonality. Option D is wrong because scatter plots show relationships between two variables.
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.
- ✓
Plot the time series data with a line plot
Why this is correct
A line plot over time directly reveals seasonal patterns.
Related concept
Static NAT maps one inside address to one outside address.
- ✗
Compute autocorrelation at different lags
Why it's wrong here
Autocorrelation quantifies seasonality but is more advanced; visual inspection is simpler for confirmation.
- ✗
Create a scatter plot of traffic vs. day of week
Why it's wrong here
Scatter plot may show pattern but line plot is better for time series.
- ✗
Plot a histogram of the traffic values
Why it's wrong here
Histogram shows frequency distribution, not time patterns.
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.
Trap categories for this question
Command / output trap
Scatter plot may show pattern but line plot is better for time series.
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
An e-commerce site experiences heavy traffic on Black Friday and near-zero traffic during off-peak weeks. Rather than provisioning permanent large VMs, the team uses auto-scaling groups that add capacity automatically under load and reduce it overnight. Questions like this test whether you understand elasticity, availability zones, and cloud compute scaling patterns.
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.
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Exploratory Data Analysis — study guide chapter
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Exploratory Data Analysis practice questions
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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: Plot the time series data with a line plot — Option A is correct because a line plot over time clearly shows weekly patterns. Option B is wrong because histograms show distribution of values, not time patterns. Option C is wrong because autocorrelation measures correlation with lagged values, but visual inspection is more direct for confirming seasonality. Option D is wrong because scatter plots show relationships between two variables.
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.
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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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