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Smart Analytics, Machine Learning, and AI on Google Cloud Coursera Quiz Answers

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Smart Analytics, Machine Learning, and AI on Google Cloud Coursera Quiz Answers


There are 8 modules in this course

Introduction to Analytics and AI Quiz Answers

Question 1)
What is the difference between AI and ML?

  • AI is a discipline while ML is a toolset

Question 2)
What is the primary impact of ML?

  • It allows business operations to scale

 

Prebuilt ML model APIs for Unstructured Data Quiz Answers

Question 1)
Most business data is unstructured data, and mainly text

  • True

Question 2)
Google Cloud’s pretrained model APIs use:

  • Google’s models and Google’s data

 

Big Data Analytics with Cloud AI Platform Notebooks Quiz Answers

Question 1)
Which statements are true regarding AI Platform Notebooks?

You can easily change hardware including adding and removing GPUs
They use the latest open-source version of JupyterLab
Notebook instances are standard GCE instances that live in your projects

Question 2)
AI Platform Notebooks contains a magic function to execute BigQuery

  • True

 

Productionizing Custom ML Models Quiz Answers

Question 1)
Which technology was developed to attack DevOps challenges in ML using Kubernetes and containers ?

  • Kubeflow

Question 2)
AI Hub has templates for which of the following?

  • All of the above

 

Custom Model building with SQL in BigQuery ML Quiz Answers

Question 1)
You can train and evaluate machine learning models directly in BigQuery.

  • True

Question 2)
BigQuery ML has support for which of the following modeling tasks:

  • Regression
  • Clustering
  • Classification

 

Custom Model Building with Cloud AutoML Quiz Answers

Question 1)
Cloud AutoML makes use of which of the following:

  • Google’s models and your data

Question 2)
Which of the following are valid techniqes for improving AutoML Vision and NLP models?

  • Increase the amount of training data
  • Ensure consistent labeling
  • Increase the diversity and complexity of data