Question 1mediummultiple choice
Full question →mediummultiple choiceObjective-mapped
A data scientist is training a regression model to predict energy consumption. The dataset includes features like temperature, humidity, time of day, and day of week. After training, the model performs well on the training set but poorly on new data. Which approach would most likely help reduce this problem?
Answer choices
Why each option matters
Good practice is not just finding the correct option. The wrong answers often show the exact trap the exam wants you to fall into.
A
Distractor review
Add more features to the model.
Adding more features can increase model complexity and exacerbate overfitting, making the problem worse.
B
Best answer
Use a simpler model with fewer parameters.
A simpler model has less capacity to memorize noise, which reduces overfitting and improves generalization to new data.
C
Distractor review
Increase the number of training epochs.
Increasing epochs often allows the model to fit the training data even more precisely, worsening overfitting if not combined with regularization.
D
Distractor review
Use a more complex model to capture more patterns.
A more complex model is even more prone to overfitting, especially with a limited amount of training data.
Common exam trap
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.
Technical deep dive
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.
Related practice questions
Related AI-900 practice-question pages
Use these pages to review the topic behind this question. This is how one missed question becomes focused revision.
More questions from this exam
Keep practising from the same exam bank, or move into a focused topic page if this question exposed a weak area.
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FAQ
Questions learners often ask
What does this AI-900 question test?
Static NAT maps one inside address to one outside address.
What is the correct answer to this question?
The correct answer is: Use a simpler model with fewer parameters. — The scenario describes overfitting, where the model learns the training data too well including noise, and fails to generalize to new data. Using a simpler model with fewer parameters (like linear regression instead of a high-degree polynomial) reduces the model's capacity and helps it focus on the underlying patterns, improving generalization.
What should I do if I get this AI-900 question wrong?
Then try more questions from the same exam bank and focus on understanding why the wrong options are tempting.
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