The correct tools to view table schema in AWS Glue Data Catalog are the AWS Glue console and Athena queries against the INFORMATION_SCHEMA. The Glue console provides a direct, graphical view of each table’s schema, including column names, data types, and partitions, making it the most straightforward option for exploratory analysis. Athena, on the other hand, allows you to run SQL queries like SELECT * FROM information_schema.columns WHERE table_name = 'your_table' to programmatically retrieve the same schema metadata from the Glue Data Catalog. On the AWS Certified Machine Learning Specialty MLS-C01 exam, this question tests your understanding of how Glue serves as the central metadata repository for AWS analytics services, and a common trap is confusing S3 (which stores raw objects, not schemas) or Redshift (which returns query results, not catalog metadata) with schema viewing tools. Remember the memory tip: “Glue shows it, Athena queries it” — both let you see the schema, but one is visual and the other is SQL-based.
MLS-C01 Exploratory Data Analysis Practice Question
This MLS-C01 practice question tests your understanding of exploratory data analysis. 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 analyst is using AWS Glue to catalog datasets for exploratory analysis. The analyst wants to understand the schema and data types. Which TWO tools can the analyst use to view the schema of a table in the AWS Glue Data Catalog? (Choose TWO.)
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Amazon Athena
Option B is correct because Athena can query the INFORMATION_SCHEMA to view table schemas. Option D is correct because the Glue console displays table schemas directly. Option A is wrong because QuickSight is a visualization tool, not for schema viewing. Option C is wrong because S3 does not store schemas; it stores objects. Option E is wrong because Redshift returns data, not schema from Glue Catalog directly.
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 this is correct
Athena can query the Glue Data Catalog using SHOW CREATE TABLE or INFORMATION_SCHEMA.
Related concept
Read the scenario before looking for a memorised answer.
✗
Amazon Redshift query editor
Why it's wrong here
Redshift query editor queries Redshift tables, not Glue Data Catalog directly.
✗
Amazon QuickSight
Why it's wrong here
QuickSight can visualize data but does not directly show Glue table schemas.
✓
AWS Glue console
Why this is correct
The Glue console displays table schemas, partitions, and properties.
Related concept
Read the scenario before looking for a memorised answer.
✗
Amazon S3 console
Why it's wrong here
S3 console shows objects, not table schemas from Glue.
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
Command / output trap
QuickSight can visualize data but does not directly show Glue table schemas.
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 media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.
What to study next
Got this wrong? Here's your next step.
Identify which MLS-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.
Exploratory Data Analysis — This question tests Exploratory Data Analysis — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Amazon Athena — Option B is correct because Athena can query the INFORMATION_SCHEMA to view table schemas. Option D is correct because the Glue console displays table schemas directly. Option A is wrong because QuickSight is a visualization tool, not for schema viewing. Option C is wrong because S3 does not store schemas; it stores objects. Option E is wrong because Redshift returns data, not schema from Glue Catalog directly.
What should I do if I get this MLS-C01 question wrong?
Identify which MLS-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.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
Share a tip, memory trick, or ask about the reasoning behind this question. Do not post real exam questions, leaked content, braindumps, or copyrighted exam material. Comments are moderated and may be removed without notice.
This MLS-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 MLS-C01 exam.
Question Discussion
Share a tip, memory trick, or ask about the reasoning behind this question. Do not post real exam questions, leaked content, braindumps, or copyrighted exam material. Comments are moderated and may be removed without notice.
Sign in to join the discussion.