Data Science Model Deployments and Cloud Computing on GCP - Introduction-Vertex AI

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Information Technology (IT), Architecture, Social Studies
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University
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Hard
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5 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the primary purpose of Vertex AI on Google Cloud?
To develop mobile applications
To offer web hosting services
To manage machine learning models throughout their lifecycle
To provide cloud storage solutions
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following frameworks is NOT supported by Vertex AI?
Scikit-learn
TensorFlow
PyTorch
Ruby on Rails
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What tool is integrated with Vertex AI for interactive model development?
Microsoft Excel
Google Sheets
Jupyter Notebooks
Apache Spark
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the role of Kubeflow Pipelines in Vertex AI?
To manage cloud billing
To create mobile applications
To orchestrate machine learning workflows
To provide data storage
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which framework is the focus of the practical steps section in Vertex AI?
PyTorch
Scikit-learn
Keras
TensorFlow
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