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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Identify an implementation and adoption strategy for Microsoft AI apps and services | 20–25% | - AI adoption strategy
|
| Topic 2: Identify benefits, capabilities, and opportunities for Microsoft AI apps and services | 35–40% | - Microsoft AI ecosystem
|
| Topic 3: Identify the business value of generative AI solutions | 35–40% | - AI value identification
|
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質問 # 49
What is considered a best practice when forming an AI adoption team in an enterprise environment?
正解：D
質問 # 50
- Select the answer that correctly completes the sentence.
An organization that runs continuous, large-scale workloads with Azure OpenAI models should choose the
__________ pricing model.
正解：
解説：
Explanation:
Provisioned (PTUs)
For continuous, large-scale workloads, the key needs are predictable throughput, consistent latency, and cost/performance stability . Azure OpenAI Provisioned Throughput Units (PTUs) are designed for this scenario because you reserve model capacity to meet sustained demand. This reduces the risk of variability that can occur with purely on-demand usage during peak periods and provides a more predictable operating model when the workload is always "on" and high volume.
Standard (On-Demand) is best when usage is variable or you're starting small (PoCs, pilots, spiky workloads), because it is flexible pay-as-you-go but can be less predictable at sustained scale. Batch API is optimized for asynchronous, non-interactive processing where you can tolerate delayed results (for example, large offline summarization jobs), not for always-on, real-time interactions at scale.
Therefore, for continuous high-volume production workloads, Provisioned (PTUs) is the best pricing model choice.
質問 # 51
A pharmaceutical company is establishing an AI council to oversee AI deployment across the organisation. The company is subject to strict regulatory requirements and operates in 30 countries. The CEO wants to know who should sit on the council.
Which composition ensures effective governance for this organisation?
正解：D
解説：
An effective AI council requires cross-functional representation to address the full spectrum of AI governance challenges. Executive sponsorship provides authority and budget. Legal and compliance representatives ensure regulatory adherence across 30 jurisdictions. IT and security leaders address technical risks and infrastructure. Business unit representatives ensure AI initiatives align with operational needs. Ethics and privacy experts guide responsible AI practices.
Employee representatives provide the workforce perspective and build trust.
質問 # 52
Your company uses a fine-tuned generative AI solution trained on data that is representative of the general population. You discover that some of the generated responses include inappropriate or exclusionary language based on ableist assumptions. You need to prevent the inappropriate responses. Your solution must minimize costs. What should you do?
正解：B
解説：
The problem is harmful output language (inappropriate or exclusionary/ableist content). The requirement says you must prevent those responses while minimizing costs . The most cost-effective and direct control is to add a content-moderation filter (B) to screen and block (or rewrite/escalate) responses that violate your safety or inclusion standards. Moderation can be applied at the output stage (and often also at input) without retraining the model, which keeps costs and delivery time low. It also provides an immediate safety layer even if the underlying model occasionally produces biased or exclusionary phrasing.
Option A is not reliable: a newer model version might reduce issues but does not guarantee elimination of ableist language, and you still need policy enforcement. Option C (retraining on only inclusive content) can help, but it is typically expensive (data curation, re-training, re-evaluation, regression testing, re-deployment) and not the "minimize costs" path-also it can reduce coverage/utility if overly restrictive. Option D is clearly wrong because it would amplify the harmful behavior.
In practice, the lowest-cost, high-impact approach is to implement moderation thresholds and handling actions (block, warn, regenerate with constraints, human review) and then, if needed, follow up later with deeper mitigations like prompt constraints, targeted fine-tuning, red-teaming, and continuous evaluation.
質問 # 53
Your company receives thousands of scanned invoices each month.
You need to recommend an AI solution that can automatically extract key details, such as invoice numbers, vendor names, and total amounts.
What is the best solution to recommend? More than one answer choice may achieve the goal.
Select the BEST answer.
正解：D
解説：
Azure Document Intelligence in Foundry Tools is the preferred solution for automatically extracting structured data-such as vendor names, invoice IDs, and total amounts-from invoices, PDFs, and images. It utilizes advanced AI and OCR to convert unstructured documents into structured JSON data.
Reference:
https://learn.microsoft.com/en-us/azure/ai-services/document-intelligence/prebuilt/invoice
質問 # 54
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