- A
Cloud TPU
Why wrong: Cloud TPU is a hardware accelerator, not a managed ML service.
- B
AutoML Vision
AutoML Vision allows training custom image classification models with a simple UI, no coding required.
- C
Vertex AI Workbench with a custom TensorFlow model
Why wrong: This requires coding and ML expertise, which the team lacks.
- D
Vision API
Why wrong: Vision API provides pre-built models, not custom training.
Question 617 of 1,000
PMLE Architecting Low-Code ML Solutions Practice Question
This PMLE practice question tests your understanding of architecting low-code ml solutions. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
A company has a large dataset of labeled images (e.g., different species of plants). They want to train a custom image classification model with minimal effort and no prior ML experience. Which Google Cloud service should they use?
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
✓
AutoML Vision
AutoML Vision is the correct choice because it allows users with no prior ML experience to train a custom image classification model using a simple graphical interface, requiring only labeled images as input. It automates model architecture search, hyperparameter tuning, and deployment, minimizing manual effort while delivering a production-ready model.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Cloud TPU
Why it's wrong here
Cloud TPU is a hardware accelerator, not a managed ML service.
- ✓
AutoML Vision
Why this is correct
AutoML Vision allows training custom image classification models with a simple UI, no coding required.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Vertex AI Workbench with a custom TensorFlow model
Why it's wrong here
This requires coding and ML expertise, which the team lacks.
- ✗
Vision API
Why it's wrong here
Vision API provides pre-built models, not custom training.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates confuse AutoML Vision (custom model training with minimal effort) with Vision API (pre-trained, no custom training), often picking D because both involve 'Vision' and seem low-code, but Vision API cannot be retrained on custom data.
Detailed technical explanation
How to think about this question
AutoML Vision uses neural architecture search (NAS) and transfer learning to automatically find the optimal model for the user's dataset, leveraging Google's pre-trained base models to reduce training time and data requirements. Under the hood, it splits data into training, validation, and test sets, applies data augmentation, and outputs a model with a REST API endpoint, handling versioning and scaling automatically. In a real-world scenario, a botanist with no coding skills could upload 1,000 labeled plant images and get a custom classifier in hours, whereas using Cloud TPU would require weeks of ML engineering.
KKey Concepts to Remember
- Read the scenario before looking for a memorised answer.
- Find the constraint that changes the correct option.
- Eliminate answers that are true in general but not in this case.
TExam Day Tips
- Watch for words such as best, first, most likely and least administrative effort.
- Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
What to study next
Got this wrong? Here's your next step.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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Architecting Low-Code ML Solutions — study guide chapter
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FAQ
Questions learners often ask
What does this PMLE question test?
Architecting Low-Code ML Solutions — This question tests Architecting Low-Code ML Solutions — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: AutoML Vision — AutoML Vision is the correct choice because it allows users with no prior ML experience to train a custom image classification model using a simple graphical interface, requiring only labeled images as input. It automates model architecture search, hyperparameter tuning, and deployment, minimizing manual effort while delivering a production-ready model.
What should I do if I get this PMLE question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
About these practice questions
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Last reviewed: Jul 4, 2026
This PMLE 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 PMLE exam.
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