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DSA-C03 workspace

Detailed Explanations

A detailed answer review with side-by-side rationale, distractor analysis, related questions, and weak-topic practice.

Certification
Build Quiz

DSA-C03 catalog review

1.0 Data Science Concepts

Correct: D
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Correct answer D Input variable
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In a supervised machine learning dataset stored in Snowflake, what is a feature?

A Model registry
B Warehouse size
C Query tag
D Input variable
1. Answer captured 2. Key checked 3. Rationale review 4. Retry weak topic

Detailed explanation

Catalog rationale

Correct answer: D

Features are the columns or derived values the model uses to learn patterns. In Snowflake workflows, feature quality and governance often matter as much as model choice.

Key concept 1.0 Data Science Concepts

SnowPro Advanced- Data Scientist (DSA-C03)

Exam tip Map the requirement to the managed Snowflake capability.

Eliminate services that solve infrastructure, data movement, or routing when the stem asks for AI model access or governance.

Snowflake service references

03 SnowPro Advanced- Data Scientist (DSA-C03) 01 1.0 Data Science Concepts SnowPro Advanced- Data Scientist (DSA-C03) 1.0 Data Science Concepts

Why the wrong answers are wrong

A

Incorrect. The Model Registry manages models and metadata, not input variables.

B

Incorrect. Warehouse size affects compute resources and is not a model feature.

C

Incorrect. Query tags label statements and are not predictive inputs.