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One of your clients is in the retail sector. They have a small team supporting their operations and a small development team taking care of application development. They have heard of the benefits of machine learning, but they do not have the capacity to hire data scientists or the work to retain them. They have a team of analysts who works primarily on BigQuery and knows how to run SQL queries. They want to be able to get into the new age of machine learning and artificial intelligence .
What options are available to run on Google Cloud?
- A . Use the popular open-source libraries SciPy and NumPy to create machine learn-ing models.
B . Use the Unified AI Platform to create a custom TensorFlow model.
C . Use BigQuery ML to create machine learning models using SQL queries.
D . Integrate the Cloud Vision API and the Cloud Speech API to create a custom mod-el that will suit the retail sector.
Suggested Answer: C
Explanation:
BigQuery ML allows you to create ML models using standard SQL queries. Those familiar with BigQuery and ML will be able to create ML models with just a basic understanding of machine learning.
https://cloud.google.com/bigquery-ml/docs/
Explanation:
BigQuery ML allows you to create ML models using standard SQL queries. Those familiar with BigQuery and ML will be able to create ML models with just a basic understanding of machine learning.
https://cloud.google.com/bigquery-ml/docs/
Posted : 08/12/2022 7:53 pm