- A
The features are highly correlated with each other
Lasso tends to select one feature from a correlated group and shrink others to zero.
- B
The features are not normalized
Why wrong: Lasso is sensitive to scale, but normalizing would not cause zero coefficients for high MI features specifically.
- C
The regularization parameter lambda is too low
Why wrong: If lambda is low, Lasso penalizes less, so more coefficients remain non-zero.
- D
The features have high variance
Why wrong: High variance alone does not cause zero coefficients in Lasso.
Question 991 of 1,000
hardMultiple ChoiceObjective-mapped
MLA-C01 Practice Question: A machine learning engineer is using Lasso…
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 machine learning engineer is using Lasso regression for feature selection. After training, many coefficients become zero. The engineer notices that some features with high mutual information with the target also have zero coefficients. What is the most likely reason?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue:
"most likely"Why it matters: Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.
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
✓
The features are highly correlated with each other
Lasso (L1 regularization) can zero out coefficients of correlated features, even if they are individually important. Option D is correct. Options A, B, and C are less likely given the scenario.
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.
- ✓
The features are highly correlated with each other
Why this is correct
Lasso tends to select one feature from a correlated group and shrink others to zero.
Clue confirmation
The clue word "most likely" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
The features are not normalized
Why it's wrong here
Lasso is sensitive to scale, but normalizing would not cause zero coefficients for high MI features specifically.
- ✗
The regularization parameter lambda is too low
Why it's wrong here
If lambda is low, Lasso penalizes less, so more coefficients remain non-zero.
- ✗
The features have high variance
Why it's wrong here
High variance alone does not cause zero coefficients in Lasso.
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.
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 company's IT admin needs to give a contractor read-only access to production logs without sharing account credentials. Using role-based access control (RBAC) and temporary scoped permissions — not a permanent shared password — is the correct pattern. Questions like this test whether you can apply least-privilege access across cloud identity services.
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: The features are highly correlated with each other — Lasso (L1 regularization) can zero out coefficients of correlated features, even if they are individually important. Option D is correct. Options A, B, and C are less likely given the scenario.
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.
Are there clue words in this question I should notice?
Yes — watch for: "most likely". Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.
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
This MLA-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 MLA-C01 exam.
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