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Professional-Machine-Learning-Engineer – Professional Machine Learning Engineer

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Showing 4–6 of 7 questions

Question 4

You are an ML engineer at a mobile gaming company. A data scientist on your team recently trained a TensorFlow model, and you are responsible for deploying this model into a mobile application. You discover that the inference latency of the current model doesn’t meet production requirements. You need to reduce the inference time by 50%, and you are willing to accept a small decrease in model accuracy in order to reach the latency requirement. Without training a new model, which model optimization technique for reducing latency should you try first?

Select an option, then click Submit answer.

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    Weight pruning
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    Dynamic range quantization
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    Model distillation
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    Dimensionality reduction
Question 5

You want to rebuild your ML pipeline for structured data on Google Cloud. You are using PySpark to conduct data transformations at scale, but your pipelines are taking over 12 hours to run. To speed up development and pipeline run time, you want to use a serverless tool and SQL syntax. You have already moved your raw data into Cloud Storage. How should you build the pipeline on Google Cloud while meeting the speed and processing requirements?

Select an option, then click Submit answer.

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    Use Data Fusion's GUI to build the transformation pipelines, and then write the data into BigQuery
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    Convert your PySpark into SparkSQL queries to transform the data and then run your pipeline on Dataproc to write the data into BigQuery.
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    Ingest your data into Cloud SQL convert your PySpark commands into SQL queries to transform the data, and then use federated queries from BigQuery for machine learning
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    Ingest your data into BigQuery using BigQuery Load, convert your PySpark commands into BigQuery SQL queries to transform the data, and then write the transformations to a new table
Question 6

You are an ML engineer at a global shoe store. You manage the ML models for the company's website. You are asked to build a model that will recommend new products to the user based on their purchase behavior and similarity with other users. What should you do?

Select an option, then click Submit answer.

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    Build a classification model
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    Build a knowledge-based filtering model
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    Build a collaborative-based filtering model
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    Build a regression model using the features as predictors