You Have a Demand Forecasting Pipeline in Production That Uses

question 7

Multiple Choice

You have a demand forecasting pipeline in production that uses Dataflow to preprocess raw data prior to model training and prediction. During preprocessing, you employ Z-score normalization on data stored in BigQuery and write it back to BigQuery. New training data is added every week. You want to make the process more efficient by minimizing computation time and manual intervention. What should you do?

• A) Normalize the data using Google Kubernetes Engine.
• B) Translate the normalization algorithm into SQL for use with BigQuery.
• C) Use the normalizer_fn argument in TensorFlow's Feature Column API. Use the normalizer_fn argument in TensorFlow's Feature Column API.
• D) Normalize the data with Apache Spark using the Dataproc connector for BigQuery.

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Definitions:

Crushed

An injury or condition resulting from extreme pressure or force applied to an object, part of the body, or material, often leading to significant damage or compression.

Avulsion

Avulsion is an injury in which a body structure is forcibly detached from its normal point of insertion by either trauma or surgery.

Burst

A sudden release of energy or activity, or the act of breaking apart or rupturing violently.

Comminuted

Describing a fracture in which the bone is broken into several pieces, often requiring surgery to repair.