Google Cloud’s AI and ML Solutions CLOUD-DIGITAL-LEADER Practice Questions (Page 4)

Questions 16–20

1. 16application · medium

   A financial services firm wants to build a model to detect fraudulent transactions. They have a team of data scientists with ML expertise and need a highly customized model that can incorporate complex feature engineering. Which Google Cloud solution is most appropriate?

   • AVision API
   • BTranslation API
   • CAutoML Tables
   • DVertex AI custom training
   Reveal Solution Discussion Select an answer first
2. 17foundation · easy

   A company wants to build a unique recommendation system that is a key differentiator for their product. They have a team of experienced ML engineers. Which Google Cloud solution is most appropriate?

   • ACustom model development
   • BPre-trained APIs
   • CAutoML
   • DCloud Natural Language API
   Reveal Solution Discussion Select an answer first
4. 18application · medium

   A research lab wants to develop a novel deep learning model for protein structure prediction. They have a team of ML researchers and need to experiment with custom architectures. Which Google Cloud solution is most appropriate?

   • AVertex AI with custom training
   • BNatural Language API
   • CAutoML Tables
   • DVision API
   Reveal Solution Discussion Select an answer first
5. 19expert · hard

   A healthcare provider wants to classify medical images (X-rays) into normal and abnormal categories. They have a small labeled dataset of 2,000 images, no ML engineers, and strict regulatory requirements that require them to explain how the model makes decisions. Which Google Cloud solution is most appropriate?

   • AAutoML Vision
   • BVertex AI custom training with an interpretable model
   • CAutoML Vision with Vertex AI Explainable AI
   • DVision API
   Reveal Solution Discussion Select an answer first
6. 20expert · hard

   A bank wants to automate the review of loan applications by extracting information from uploaded documents and classifying them as approved or denied. They have a small data team with basic data analysis skills, a large labeled dataset of past applications, and a tight deadline. Which Google Cloud solution is most appropriate?

   • AUse Document AI to extract data and AutoML Tables to classify
   • BUse Vertex AI custom training for both extraction and classification
   • CUse AutoML Vision to extract data and AutoML Tables to classify
   • DUse the Vision API to extract data and the Natural Language API to classify
   Reveal Solution Discussion Select an answer first