AI Associate Data for AI Practice Question
A team is building a pipeline to train a model daily. The source data arrives in CSV files but needs to be converted to Parquet for efficiency. Which pipeline step should perform this conversion?
⚠ Common exam trap
Salesforce often tests the distinction between data ingestion (raw data handling) and data validation (quality checks), leading candidates to confuse format conversion with validation steps.
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
✓
Data ingestion step
The data ingestion step is responsible for bringing raw data into the pipeline, including format conversions like CSV to Parquet. Converting to Parquet at ingestion improves storage efficiency and query performance for downstream processing, as Parquet uses columnar storage and compression.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Feature engineering step
Why it's wrong here
Feature engineering comes after ingestion.
- ✗
Model deployment step
Why it's wrong here
Deployment uses already processed data.
- ✗
Data validation step
Why it's wrong here
Validation checks quality, not format conversion.
- ✓
Data ingestion step
Why this is correct
Ingestion can transform data into a more efficient format.
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This AI Associate practice question is part of Courseiva's free Salesforce 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 AI Associate exam.