- A
Use Video Intelligence API with explicit content detection
Video Intelligence API has built-in explicit content detection, suitable for this use case.
- B
Use AutoML Video to train a custom explicit content detection model
Why wrong: AutoML Video would require a large labeled dataset and custom training; pre-built APIs are more efficient.
- C
Use Natural Language API on video transcripts
Why wrong: Natural Language API only analyzes text, not visual content.
- D
Use Vision API to analyze each video frame
Why wrong: Vision API is for images and does not scale well to video; it lacks temporal analysis.
Question 279 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 media company wants to automatically moderate user-uploaded videos by detecting explicit content (e.g., violence, adult material). They need a solution that integrates with their video processing pipeline and scales to millions of videos. Which approach should they take?
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
✓
Use Video Intelligence API with explicit content detection
Video Intelligence API provides explicit content detection as a pre-built feature. It can analyze video content and flag inappropriate material. AutoML Video would require custom training, which is unnecessary. Vision API is for images. Natural Language API is for text.
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.
- ✓
Use Video Intelligence API with explicit content detection
Why this is correct
Video Intelligence API has built-in explicit content detection, suitable for this use case.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Use AutoML Video to train a custom explicit content detection model
Why it's wrong here
AutoML Video would require a large labeled dataset and custom training; pre-built APIs are more efficient.
- ✗
Use Natural Language API on video transcripts
Why it's wrong here
Natural Language API only analyzes text, not visual content.
- ✗
Use Vision API to analyze each video frame
Why it's wrong here
Vision API is for images and does not scale well to video; it lacks temporal analysis.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Detailed technical explanation
How to think about this question
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
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.
- Use explanations to understand the rule behind the answer.
TExam Day Tips
- Underline the problem statement mentally.
- 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
An e-commerce site experiences heavy traffic on Black Friday and near-zero traffic during off-peak weeks. Rather than provisioning permanent large VMs, the team uses auto-scaling groups that add capacity automatically under load and reduce it overnight. Questions like this test whether you understand elasticity, availability zones, and cloud compute scaling patterns.
What to study next
Got this wrong? Here's your next step.
Identify which PMLE exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
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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: Use Video Intelligence API with explicit content detection — Video Intelligence API provides explicit content detection as a pre-built feature. It can analyze video content and flag inappropriate material. AutoML Video would require custom training, which is unnecessary. Vision API is for images. Natural Language API is for text.
What should I do if I get this PMLE question wrong?
Identify which PMLE exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
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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