- A
Speech-to-Text then Natural Language API
Why wrong: App reviews are text, not audio.
- B
Natural Language API only
Why wrong: Natural Language API supports multiple languages for sentiment analysis, but for best accuracy, translation may be needed if reviews are in many languages.
- C
Translation API then Natural Language API
Translate reviews to a common language, then analyze sentiment and entities.
- D
Vision API then Natural Language API
Why wrong: Vision API is for images; app reviews are text.
Question 344 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 analyze customer feedback from app reviews to identify common themes and sentiment. They have millions of reviews in multiple languages. Which combination of pre-built APIs 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
✓
Translation API then Natural Language API
Natural Language API can perform sentiment analysis and entity extraction. Translation API can translate non-English reviews to English before analysis. Speech-to-Text is for audio. Vision API is for images.
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.
- ✗
Speech-to-Text then Natural Language API
Why it's wrong here
App reviews are text, not audio.
- ✗
Natural Language API only
Why it's wrong here
Natural Language API supports multiple languages for sentiment analysis, but for best accuracy, translation may be needed if reviews are in many languages.
- ✓
Translation API then Natural Language API
Why this is correct
Translate reviews to a common language, then analyze sentiment and entities.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Vision API then Natural Language API
Why it's wrong here
Vision API is for images; app reviews are text.
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
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 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: Translation API then Natural Language API — Natural Language API can perform sentiment analysis and entity extraction. Translation API can translate non-English reviews to English before analysis. Speech-to-Text is for audio. Vision API is for images.
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
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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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