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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

3.0 Model Development

Correct: D
Your answer Not answered Answer this in practice or the daily question to sync here.
Correct answer D Fit patterns from labeled data
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What does model training do in a supervised machine learning workflow?

A Grant warehouse privileges
B Create a network policy
C Rename feature tables
D Fit patterns from labeled data
1. Answer captured 2. Key checked 3. Rationale review 4. Retry weak topic

Detailed explanation

Catalog rationale

Correct answer: D

Model development starts with fitting a model to prepared data. The trained model should then be evaluated on data not used for fitting.

Key concept 3.0 Model Development

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) 03 3.0 Model Development SnowPro Advanced- Data Scientist (DSA-C03) 3.0 Model Development

Why the wrong answers are wrong

A

Incorrect. Warehouse privileges are access-control settings, not model training.

B

Incorrect. Network policies govern access locations and do not train models.

C

Incorrect. Renaming tables does not fit a model.