Building and Using Google Cloud AI and ML Solutions CLOUD-DIGITAL-LEADER Practice Questions (Page 1)

Questions 1–5

1. 1foundation · easy

   What is TensorFlow?

   • AAn end-to-end open-source platform for building and training machine learning models.
   • BA pre-trained API for natural language processing.
   • CA data warehouse service for storing large datasets.
   • DA proprietary hardware accelerator designed by Google for ML training.
   Reveal Solution Discussion Select an answer first
2. 2foundation · easy

   What is a primary benefit of using AutoML to train a custom model?

   • AIt allows organizations to train models on their own data without needing deep ML expertise.
   • BIt runs models on edge devices without internet connectivity.
   • CIt eliminates the need for labeled data.
   • DIt provides a pre-trained model that works for all use cases without any customization.
   Reveal Solution Discussion Select an answer first
4. 3application · medium

   A retail company receives thousands of customer feedback forms daily, many containing handwritten comments about product quality. The company wants to automatically categorize these comments into topics (e.g., 'pricing', 'durability', 'shipping') and detect whether the overall sentiment is positive or negative. The team has no ML expertise and wants the fastest time-to-value with minimal custom development. What should they use?

   • AUse the Text-to-Speech API to convert the comments into audio, then the Natural Language API for sentiment analysis
   • BTrain a custom AutoML Vision model to read handwriting and classify sentiment directly from images
   • CUse the Speech-to-Text API to transcribe the comments, then the Translation API to translate them into English
   • DUse the Vision API for OCR, then the Natural Language API for entity extraction and sentiment analysis
   Reveal Solution Discussion Select an answer first
5. 4application · medium

   A smart-home device manufacturer wants to enable users to control lights and thermostats by speaking commands like 'turn on the living room lights'. The device already has a microphone and speakers. They need a fully managed solution to convert the user's speech into text and then generate a spoken confirmation response. What should they use?

   • AUse the Natural Language API for the command and the Vision API for the confirmation
   • BUse the Cloud Translation API to translate the command and the Speech-to-Text API for the response
   • CUse the Text-to-Speech API for the command and the Speech-to-Text API for the confirmation
   • DUse the Speech-to-Text API for the command and the Text-to-Speech API for the confirmation
   Reveal Solution Discussion Select an answer first
6. 5foundation · easy

   A news organization wants to automatically identify the people, organizations, and locations mentioned in articles. Which feature of the Natural Language API would be used?

   • AContent classification
   • BSentiment analysis
   • CSyntax analysis
   • DEntity extraction
   Reveal Solution Discussion Select an answer first