Question 629 of 1,000
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MLA-C01 Practice Question: A data scientist is preparing a dataset for a…

This MLA-C01 practice question tests your understanding of mla-c01 exam topics. 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 data scientist is preparing a dataset for a multiclass classification problem. The dataset has a categorical feature with 50 unique values (medium cardinality) and a target variable with 5 classes. The scientist wants to encode the categorical feature in a way that captures the relationship with the target while keeping the number of output features manageable. Which TWO encoding methods should the scientist consider? (Select TWO.)

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

Target encoding

Target encoding captures the target relationship and produces a single numeric column. Ordinal encoding assigns integers but may imply order. One-hot encoding creates 50 columns, which may be acceptable but increases dimensionality. Frequency encoding loses target signal. The best choices are target encoding (directly uses target) and one-hot encoding (if dimensionality is acceptable).

Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Frequency encoding

    Why it's wrong here

    Frequency encoding loses target information and may not help the model.

  • Label encoding

    Why it's wrong here

    Label encoding is similar to ordinal encoding and imposes arbitrary integer order.

  • Ordinal encoding

    Why it's wrong here

    Ordinal encoding imposes arbitrary order, which may mislead the model.

  • Target encoding

    Why this is correct

    Target encoding uses target mean per category, capturing predictive signal in one column.

    Related concept

    Read the scenario before looking for a memorised answer.

  • One-hot encoding

    Why this is correct

    One-hot encoding creates 50 dummy variables, which is acceptable for medium cardinality and does not assume any order.

    Related concept

    Read the scenario before looking for a memorised answer.

Common exam traps

Common exam trap: answer the scenario, not the keyword

Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.

Trap categories for this question

  • Similar concept trap

    Label encoding is similar to ordinal encoding and imposes arbitrary integer order.

Detailed technical explanation

How to think about this question

This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.

KKey Concepts to Remember

  • Read the scenario before looking for a memorised answer.
  • Find the constraint that changes the correct option.
  • Eliminate answers that are true in general but not in this case.
  • Use explanations to understand the rule behind the answer.

TExam Day Tips

  • Underline the problem statement mentally.
  • Watch for words such as best, first, most likely and least administrative effort.
  • Review why wrong options are wrong, not only why the correct option is correct.

Key takeaway

Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.

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. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. 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.

Identify which MLA-C01 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.

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FAQ

Questions learners often ask

What does this MLA-C01 question test?

Read the scenario before looking for a memorised answer.

What is the correct answer to this question?

The correct answer is: Target encoding — Target encoding captures the target relationship and produces a single numeric column. Ordinal encoding assigns integers but may imply order. One-hot encoding creates 50 columns, which may be acceptable but increases dimensionality. Frequency encoding loses target signal. The best choices are target encoding (directly uses target) and one-hot encoding (if dimensionality is acceptable).

What should I do if I get this MLA-C01 question wrong?

Identify which MLA-C01 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.

What is the key concept behind this question?

Read the scenario before looking for a memorised answer.

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Last reviewed: Jul 4, 2026

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