PMLE Serving and Scaling Models Practice Question
You need to run a batch prediction job on Vertex AI for a large dataset stored in BigQuery. The model expects CSV input. Which input format should you specify for the batch prediction job?
⚠ Common exam trap
The trap here is assuming that any supported input format works regardless of the model's expected input, when the format must match the model's signature.
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
✓
CSV files on Cloud Storage
Vertex AI batch prediction supports multiple input formats, but the format must match what the model expects. Since the model expects CSV, specifying CSV files on Cloud Storage is the correct choice. This avoids any need for data conversion and ensures the batch prediction job can parse the input correctly.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
JSON Lines files on Cloud Storage
Why it's wrong here
JSON Lines is a supported input format for batch prediction, but the model expects CSV. Using JSON Lines would require the model to parse JSON, which it is not designed to do. The input format must align with the model's expected input, so JSON Lines is incorrect for this scenario.
- ✓
CSV files on Cloud Storage
Why this is correct
For batch prediction, Vertex AI supports CSV files on Cloud Storage as an input format. Since the model expects CSV, providing CSV files on Cloud Storage directly matches the model's input requirements and avoids any format conversion or export step.
- ✗
TFRecord files on Cloud Storage
Why it's wrong here
TFRecord is a TensorFlow-specific binary format. If the model expects CSV, TFRecord input will not match the expected schema and will cause prediction errors. TFRecord is appropriate only when the model was trained or exported to consume TFRecord, which is not the case here.
- ✗
BigQuery table
Why it's wrong here
A BigQuery table is a valid input source for batch prediction, but the model expects CSV input. Vertex AI can export BigQuery data to CSV or JSON Lines for prediction, but the input format must match the model's expected format. Specifying a BigQuery table does not directly satisfy the CSV requirement without an export step.
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Last reviewed September 2026 · checked against the official Google Cloud exam blueprint
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