Question 1mediummultiple choice
Full question →mediummultiple choiceObjective-mapped
A hospital has a dataset with historical patient records, each labeled as either 'readmitted within 30 days' or 'not readmitted'. The hospital wants to train a model to predict which current patients are likely to be readmitted. Which type of machine learning task is this?
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
Supervised regression
Regression predicts a continuous numeric value (e.g., blood pressure), not a discrete category like readmission status.
B
Best answer
Supervised classification
Classification is used when the target variable is a category, and the data is labeled. Here, the output is one of two classes – readmitted or not readmitted.
C
Distractor review
Unsupervised clustering
Clustering works with unlabeled data to find natural groupings, but the dataset here has labels.
D
Distractor review
Reinforcement learning
Reinforcement learning involves an agent learning through interaction and rewards, which does not fit this scenario with a static labeled dataset.
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: Supervised classification — This is a supervised classification task because the model is trained on a dataset with known binary labels (readmitted or not) to predict categorical outcomes. Regression predicts a continuous numeric value, unsupervised clustering groups unlabeled data, and reinforcement learning learns through rewards/punishments from interactions with an environment.
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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