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DAA-C01 · Question #102

DAA-C01 Question #102: Real Exam Question with Answer & Explanation

The correct answer is B: Resolving data inconsistencies. When responding to data import errors in Snowflake, the process centers on diagnosis and remediation: you must identify where errors originated (D), analyze the error logs to understand what went wrong and how to fix it (C), and resolve any data inconsistencies that resulted from

Data Modeling and Transformation

Question

Which actions are typically part of responding to data import errors in Snowflake? (Select all that apply)

Options

  • AResuming data import immediately
  • BResolving data inconsistencies
  • CAnalyzing error logs for resolution
  • DIdentifying error sources

Explanation

When responding to data import errors in Snowflake, the process centers on diagnosis and remediation: you must identify where errors originated (D), analyze the error logs to understand what went wrong and how to fix it (C), and resolve any data inconsistencies that resulted from the failed import (B). These three actions form a logical workflow - find the source, understand the cause, fix the data.

Why A is wrong: "Resuming data import immediately" skips the investigation phase entirely. Resuming without first diagnosing the root cause risks repeating the same error or importing corrupt/inconsistent data, which violates Snowflake best practices for data integrity.

Memory tip: Think of the acronym "DAR" - Diagnose (identify error sources), Analyze (error logs), Remediate (resolve inconsistencies). You always DAR before you restart an import.

Topics

#Data Import#Error Handling#Troubleshooting#Snowflake

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