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AI-900 Practice Question: 'AI in agriculture' (precision agriculture) and…
This AI-900 practice question tests your understanding of 'ai in agriculture' (precision agriculture) and…. 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.
What is 'AI in agriculture' (precision agriculture) and what AI technologies are applied?
Answer choices
Why each option matters
Good practice is not just finding the correct option. The wrong answers often show the exact trap the exam wants you to fall into.
A
Distractor review
AI that writes farming blogs and social media content for agricultural businesses
Content generation is generative AI for marketing — precision agriculture AI optimises actual farming operations.
B
Best answer
Crop yield prediction, pest detection, irrigation optimisation, and crop health monitoring using ML and vision
Precision agriculture applies ML, computer vision, and IoT AI — reducing water/pesticide use and improving yields.
C
Distractor review
Automating all farming tasks with AI-powered robots that replace farm workers
Agricultural robotics is an emerging field — precision agriculture AI primarily augments decision-making rather than replacing all labour.
D
Distractor review
Using AI to trade agricultural commodity futures on financial markets
Commodity trading is financial AI — precision agriculture uses AI to optimise physical crop production.
Common exam trap
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.
Technical deep dive
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.
Related practice questions
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Use these pages to review the topic behind this question. This is how one missed question becomes focused revision.
More questions from this exam
Keep practising from the same exam bank, or move into a focused topic page if this question exposed a weak area.
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Question 2
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Question 3
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Question 4
A developer is using Azure OpenAI with GPT-4 to build a chatbot that answers legal questions based on a company's internal policy documents. The developer wants the model's responses to be maximally deterministic and factual, avoiding any creative or speculative language. Which parameter should the developer set to the lowest possible value in the API call?
Question 5
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Question 6
A developer is using Azure OpenAI Service to generate product descriptions. They want the output to be highly focused and deterministic, with less randomness. Which parameter should they decrease?
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FAQ
Questions learners often ask
What does this AI-900 question test?
Read the scenario before looking for a memorised answer.
What is the correct answer to this question?
The correct answer is: Crop yield prediction, pest detection, irrigation optimisation, and crop health monitoring using ML and vision — Precision agriculture uses AI to optimise farming: crop yield prediction (ML on historical yield + weather + soil data), pest and disease detection (Custom Vision on crop images), irrigation optimisation (IoT sensors + ML), drone-based crop health monitoring (multispectral image analysis), and livestock health monitoring. Microsoft's FarmBeats and AI for Earth initiative have invested heavily in agricultural AI. Benefits: 20-30% reduction in water use, reduced pesticide application, and increased yields.
What should I do if I get this AI-900 question wrong?
Identify which AI-900 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.
About these practice questions
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This AI-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 AI-900 exam.