Module 6: Adding Intelligence to Your Application

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In this post, I provide complete, accurate, and detailed explanations for the answers to Module 6: Adding Intelligence to Your Applicationt of Course 3: Developing Applications with Google Cloud: Foundations – Preparing for Google Cloud Certification: Cloud Developer Professional Certificate

Whether you’re preparing for quizzes or brushing up on your knowledge, these insights will help you master the concepts effectively. Let’s dive into the correct answers and detailed explanations for each question!

Adding Intelligence to Your Application

Graded Assignment

1. How can you invoke pre-trained machine learning APIs (such as the Vision API or Natural Language API) from your application?

  • Use the REST API. ✅
  • Use a gcloud CLI command.
  • Use the Google Cloud console.
  • Use TensorFlow.

Explanation:
Google Cloud’s pre-trained ML APIs (like Vision API, Natural Language API) expose REST and gRPC endpoints that allow applications to call them easily.

2. You're developing an application that labels entities in video before storing the files. Which API should you use?

  • Vision API
  • Cloud Natural Language API
  • Video Intelligence API ✅
  • Cloud Translation API

Explanation:
The Video Intelligence API is designed for analyzing videos and can label objects, detect scenes, recognize speech, and more.

Related contents:

Module 2: Best Practices for Cloud Application Development
Module 3: Getting Started with Google Cloud Development
Module 4: Data Storage Options
Module 5: Handling Authentication and Authorization
Module 7: Deploying Applications
Module 8: Compute Options for Your Application
Module 9: Monitoring and Performance Tuning

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