Google Cloud’s AI and ML Solutions CLOUD-DIGITAL-LEADER Practice Questions (Page 6)

Questions 26–28

1. 26application · medium

   A logistics company wants to build a model to predict delivery delays based on historical shipment data. They have a small data science team but no deep ML expertise. They need a model that is more tailored than a generic pre-trained API but do not need to write custom code. Which Google Cloud solution is most appropriate?

   • AVision API
   • BVertex AI custom training
   • CTranslation API
   • DAutoML Tables
   Reveal Solution Discussion Select an answer first
2. 27expert · hard

   A government agency wants to analyze public feedback forms to identify common complaints. They have no ML expertise, a small budget, and need results quickly. They also need to ensure the analysis is consistent and reproducible. Which Google Cloud solution is most appropriate?

   • AUse the Vision API
   • BUse the Natural Language API for entity and sentiment analysis
   • CUse AutoML Natural Language to train a custom model
   • DUse Vertex AI custom training
   Reveal Solution Discussion Select an answer first
3. 28foundation · easy

   Which of the following is a common use case for the Cloud Vision API?

   • ADetecting objects and reading text within images
   • BTranscribing audio recordings into text
   • CIdentifying the sentiment of a product review
   • DTranslating documents between languages
   Reveal Solution Discussion Select an answer first