- A
Amazon Athena
Why wrong: Athena is a query service, not a data quality assessment tool.
- B
AWS Glue DataBrew
DataBrew provides data profiling and cleaning capabilities with a visual interface.
- C
AWS Glue ETL
Why wrong: Glue ETL can be used for transformation but requires custom code for data quality assessment.
- D
Amazon QuickSight
Why wrong: QuickSight is a BI and visualization tool, not for data quality.
- E
Amazon SageMaker Data Wrangler
Data Wrangler has built-in transforms for data quality tasks like handling missing values and detecting outliers.
Question 108 of 1,000
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MLA-C01 Practice Question: A data engineer needs to assess the quality of a…
This MLA-C01 practice question tests your understanding of mla-c01 exam topics. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. 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 engineer needs to assess the quality of a dataset containing customer information. The dataset has missing values, outliers, and duplicate records. Which TWO AWS services can be used to perform data quality assessment? (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
✓
AWS Glue DataBrew
AWS Glue DataBrew is a visual data preparation tool that provides built-in data quality checks, including profiling, anomaly detection, and duplicate identification, without writing code. It directly addresses the need to assess missing values, outliers, and duplicates through its data quality dashboard and transformation recipes.
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.
- ✗
Amazon Athena
Why it's wrong here
Athena is a query service, not a data quality assessment tool.
- ✓
AWS Glue DataBrew
Why this is correct
DataBrew provides data profiling and cleaning capabilities with a visual interface.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
AWS Glue ETL
Why it's wrong here
Glue ETL can be used for transformation but requires custom code for data quality assessment.
- ✗
Amazon QuickSight
Why it's wrong here
QuickSight is a BI and visualization tool, not for data quality.
- ✓
Amazon SageMaker Data Wrangler
Why this is correct
Data Wrangler has built-in transforms for data quality tasks like handling missing values and detecting outliers.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse AWS Glue ETL (option C) with AWS Glue DataBrew (option B), assuming the ETL service includes visual data quality assessment, when in fact DataBrew is the dedicated no-code data preparation and quality tool.
Detailed technical explanation
How to think about this question
Under the hood, AWS Glue DataBrew uses Apache Spark under the hood to run distributed data profiling jobs, generating statistics like null counts, distinct values, min/max, and standard deviation for each column. It also applies built-in anomaly detection algorithms (e.g., Z-score based outlier identification) and can automatically flag duplicate rows based on user-defined keys. In a real-world scenario, a data engineer could use DataBrew's 'Data quality' tab to visualize missing value patterns across 10 million rows in minutes, then create a recipe to impute or remove those records without writing a single line of code.
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.
TExam Day Tips
- 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 exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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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: AWS Glue DataBrew — AWS Glue DataBrew is a visual data preparation tool that provides built-in data quality checks, including profiling, anomaly detection, and duplicate identification, without writing code. It directly addresses the need to assess missing values, outliers, and duplicates through its data quality dashboard and transformation recipes.
What should I do if I get this MLA-C01 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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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