Which pandas method converts a model's prediction array into a Series that can be easily added to a DataFrame with a custom index?

pd.Series(predictions, index=df.index)

Which pandas method writes a DataFrame with predictions to a CSV file?

df.write_csv('predictions.csv')

df.to_csv('predictions.csv', index=False)

A team needs to write a large DataFrame with predictions to a file for archival. The file will be read later by a pandas job. Which format is most efficient for both writing and reading while preserving data types?

Pickle using `df.to_pickle('results.pkl')`

CSV using `df.to_csv('results.csv')`

JSON using `df.to_json('results.json')`

Parquet using `df.to_parquet('results.parquet')`

A team trained a model using a pipeline that includes a `PolynomialFeatures` transformer. For batch inference, they apply the same pipeline to new data. What is the key reason this is correct?

The pipeline converts the data to a numpy array, which is all that is needed.

The pipeline drops the polynomial features for inference to save computation.

The pipeline automatically retrains the model on the new data.

The pipeline applies the same feature transformations, including polynomial expansion, using parameters learned from training.

DatabricksCertified Machine Learning Associate

Domain 4Objective 3

Use Pandas to Perform Batch Inference MACHINE-LEARNING-ASSOCIATE Practice Questions (Page 3)

Part of the Section 4: Model Deployment domain, which makes up ~30% of our current practice bank. Databricks does not publish an official question count, but from its 90-minute exam (~35–60 total, ~11–18 in this domain), expect 2–3 from this objective — we provide 15 practice questions to prepare you well beyond it. (estimate)

15questions here

3free pages

5concepts

Questions 11–15

11foundation · easy
Which pandas method converts a model's prediction array into a Series that can be easily added to a DataFrame with a custom index?
Select an answer first
12application · medium
A team writes a DataFrame with predictions to a CSV file for a business analyst who will open it in Excel. The DataFrame contains a column with long text descriptions. Which parameter is important to set to avoid issues in Excel?
Select an answer first
13foundation · easy
Which pandas method writes a DataFrame with predictions to a CSV file?
Select an answer first
14application · medium
A team needs to write a large DataFrame with predictions to a file for archival. The file will be read later by a pandas job. Which format is most efficient for both writing and reading while preserving data types?
Select an answer first
15expert · medium
A team trained a model using a pipeline that includes a `PolynomialFeatures` transformer. For batch inference, they apply the same pipeline to new data. What is the key reason this is correct?
Select an answer first

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