Quick Answer
The answer is AI Builder. This is the correct choice because AI Builder for text analysis provides prebuilt models specifically designed for text classification and entity extraction, allowing you to analyze customer feedback from surveys and identify common themes without needing custom coding or data science expertise. On the Microsoft Power Platform Fundamentals PL-900 exam, this question tests your understanding of which Power Platform component delivers out-of-the-box AI capabilities, and a common trap is confusing Power BI’s visualization features with actual AI processing—Power BI can display results but cannot perform text analysis natively. Remember that Power Automate handles workflows, Power Virtual Agents builds chatbots, and only AI Builder offers the prebuilt text models needed for this task. A useful memory tip: think of “AI Builder” as the only tool that literally “builds” AI into your apps, so when you see a question about analyzing text or extracting entities, your first instinct should be AI Builder.
This PL-900 practice question tests your understanding of describe the business value of microsoft power platform. 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.
Your company wants to use AI to analyze customer feedback from surveys and identify common themes. The solution should be built using Microsoft Power Platform. Which capability should you use?
Power Virtual Agents with a topic
Why wrong: Topics define conversation paths, not text analysis.
AI Builder
AI Builder offers text classification and key phrase extraction models.
Power BI with natural language queries
Why wrong: Natural language queries are for asking questions, not analyzing themes.
Power Automate with a custom connector
Why wrong: Custom connectors connect to external services, not built-in AI.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
AI Builder
Option D is correct because AI Builder provides prebuilt AI models for text classification and entity extraction. Option A is wrong because Power BI does not have built-in AI for text analysis. Option B is wrong because Power Automate does not have AI capabilities. Option C is wrong because Power Virtual Agents is for chatbots.
Key principle: NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
Power Virtual Agents with a topic
Why it's wrong here
Topics define conversation paths, not text analysis.
AI Builder
Why this is correct
AI Builder offers text classification and key phrase extraction models.
Related concept
Static NAT maps one inside address to one outside address.
Power BI with natural language queries
Why it's wrong here
Natural language queries are for asking questions, not analyzing themes.
Power Automate with a custom connector
Why it's wrong here
Custom connectors connect to external services, not built-in AI.
Common exam traps
NAT is not only about the public address. The inside/outside interface roles and the ACL or rule that matches traffic are just as important.
Detailed technical explanation
NAT questions usually test address translation, overload/PAT behaviour, static mappings and whether the right traffic is being translated. Read the interface direction and address terms carefully.
Key takeaway
NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated.
Real-world example
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. NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated. 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
Review the four NAT address types (inside local, inside global, outside local, outside global), PAT port overload, and static vs dynamic NAT use cases. Then practise related PL-900 NAT questions on configuration and troubleshooting.
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FAQ
Describe the business value of Microsoft Power Platform — This question tests Describe the business value of Microsoft Power Platform — Static NAT maps one inside address to one outside address..
The correct answer is: AI Builder — Option D is correct because AI Builder provides prebuilt AI models for text classification and entity extraction. Option A is wrong because Power BI does not have built-in AI for text analysis. Option B is wrong because Power Automate does not have AI capabilities. Option C is wrong because Power Virtual Agents is for chatbots.
Review the four NAT address types (inside local, inside global, outside local, outside global), PAT port overload, and static vs dynamic NAT use cases. Then practise related PL-900 NAT questions on configuration and troubleshooting.
Static NAT maps one inside address to one outside address.
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 →
Same concept, more angles
These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.
Variation 1. A marketing team needs to analyze customer feedback from surveys and social media. They want to use AI to extract sentiment and key topics. Which capability should they use?
mediumWhy D: AI Builder includes sentiment analysis and key phrase extraction models. Power Automate can orchestrate but needs AI Builder for the AI. Power BI and Copilot Studio are not the primary tools for this custom AI task.
Variation 2. An organization wants to analyze customer sentiment from social media data and create interactive dashboards. Which combination of Power Platform tools should they use?
hardWhy B: Power BI can connect to data sources and create dashboards, while AI Builder can analyze sentiment. Power Automate is for workflows, and Power Apps for apps.
Last reviewed: Jun 21, 2026
This PL-900 practice question is part of Courseiva's free Microsoft 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 PL-900 exam.
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