- A
AutoML Natural Language
Why wrong: AutoML Natural Language is for text, not images.
- B
AutoML Video
AutoML Video Intelligence can classify images in video frames, making it valid for image classification.
- C
AutoML Vision
AutoML Vision is specifically designed for image classification.
- D
AutoML Translation
Why wrong: AutoML Translation is for language translation, not images.
- E
AutoML Tables
Why wrong: AutoML Tables is for structured tabular data, not images.
Question 931 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 needs to build a custom model to classify images of products into categories. They have a large labeled dataset. They want to use AutoML but are unsure which options support image classification. Which TWO AutoML products support image classification?
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 Video
Both AutoML Vision and AutoML Video Intelligence support image classification. AutoML Vision (Option C) is designed for static image classification, object detection, and segmentation. AutoML Video Intelligence (Option B) can classify objects and actions in video frames, effectively supporting image classification on individual frames. Therefore, both B and C are correct.
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.
- ✗
AutoML Natural Language
Why it's wrong here
AutoML Natural Language is for text, not images.
- ✓
AutoML Video
Why this is correct
AutoML Video Intelligence can classify images in video frames, making it valid for image classification.
Related concept
Read the scenario before looking for a memorised answer.
- ✓
AutoML Vision
Why this is correct
AutoML Vision is specifically designed for image classification.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
AutoML Translation
Why it's wrong here
AutoML Translation is for language translation, not images.
- ✗
AutoML Tables
Why it's wrong here
AutoML Tables is for structured tabular data, not images.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Candidates often mistakenly think only AutoML Vision supports images, but AutoML Video Intelligence also classifies visual content in video frames. The key distinction is data modality: AutoML Vision for static images, AutoML Video for video sequences with frame-level classification.
Detailed technical explanation
How to think about this question
AutoML Vision leverages transfer learning with pre-trained convolutional neural networks (CNNs) such as EfficientNet, fine-tuning them on the user's labeled dataset. Under the hood, it automatically handles data augmentation, hyperparameter tuning, and model architecture selection to optimize for accuracy and latency. In a real-world scenario, a retail company could use AutoML Vision to classify product images into categories like 'electronics' or 'clothing' without needing deep learning expertise.
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 media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.
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 Video — Both AutoML Vision and AutoML Video Intelligence support image classification. AutoML Vision (Option C) is designed for static image classification, object detection, and segmentation. AutoML Video Intelligence (Option B) can classify objects and actions in video frames, effectively supporting image classification on individual frames. Therefore, both B and C are correct.
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
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
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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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