Cloud Digital Leader Why cloud technology is transforming business Practice Question
A company wants to innovate quickly by leveraging machine learning without building models from scratch. Which Google Cloud service allows them to use pre-trained models via APIs?
⚠ Common exam trap
Google Cloud often tests the distinction between 'pre-trained APIs' and 'custom model training services'—candidates mistakenly choose AutoML because they think 'no building from scratch' means no coding, but AutoML still requires training a custom model, not using a pre-trained one.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Cloud Vision API
Cloud Vision API is correct because it provides pre-trained machine learning models via REST APIs, allowing the company to integrate image recognition capabilities (e.g., label detection, OCR, face detection) without building or training any models. This directly meets the requirement of leveraging ML without building from scratch, as the API abstracts all model training and deployment.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
BigQuery ML
Why it's wrong here
BigQuery ML is a machine learning service for building and running models directly on structured data stored in BigQuery using SQL. It supports supervised and unsupervised learning on tabular datasets, but it cannot process unstructured image data or provide pre-trained vision capabilities. To analyze images, you would need to first extract features and load them as tabular data, and then train a model on your own data, which defeats the purpose of innovating quickly with an out-of-the-box vision solution.
- ✗
AI Platform
Why it's wrong here
AI Platform is a comprehensive service for developing, training, and deploying custom machine learning models, giving you full control over the model architecture and training pipeline. It requires significant ML expertise, data preparation, and ongoing infrastructure management, as there are no pre-trained vision models accessible via simple API calls. Using AI Platform for a quick innovation would involve building and training a custom image classifier from scratch, which is time-consuming and not a pre-built capability.
- ✓
Cloud Vision API
Why this is correct
Cloud Vision API is a fully managed, pre-trained machine learning service that exposes image analysis capabilities through a simple REST or gRPC API. It can detect labels, faces, explicit content, optical characters, and landmarks without any training on custom data, making it ideal for rapid innovation in image-based applications. The absence of a training step and the ability to call it directly from application code allow developers to integrate advanced vision features within minutes rather than weeks.
- ✗
AutoML
Why it's wrong here
AutoML provides a suite of machine learning tools that train custom models on your own labeled datasets, automating parts of the model architecture search and hyperparameter tuning. However, it still requires you to prepare and label training data, initiate a training job, and wait for the model to converge, which is not a 'pre-trained' quick solution. For a company wanting to innovate quickly with existing ML capabilities, AutoML's training loop adds latency and effort compared to immediately using a pre-trained Cloud Vision API.
Go deeper
Related to this question
Learn chapter
Cloud Digital Transformation
Key term
Service
A service is a software component or system that performs a specific function and is available to be used by other programs or users over a network.
Key term
Model
In IT and AI, a model is a trained mathematical representation that learns patterns from data to make predictions or decisions.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This GCDL practice question is part of Courseiva's free Google Cloud certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the GCDL exam.