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>> AB-731 Latest Exam Format <<
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NEW QUESTION # 26
DRAG DROP - Match the Microsoft responsible AI principles to the appropriate descriptions. NOTE: Each correct match is worth one point.
Answer:
Explanation:
Explanation:
Answer Area
* Protect personal information and apply strong safeguards to keep data secure. Answer: Privacy and security
* Make AI solutions understandable by explaining how and why decisions are made. Answer:
Transparency
* Design AI solutions that are accessible to people of all abilities and experiences. Answer: Inclusiveness
* Involve human oversight in the control of AI solutions. Answer: Accountability Microsoft's Responsible AI principles provide a practical framework for building and deploying trustworthy AI systems.
Privacy and security is the principle focused on protecting personal information and ensuring strong safeguards-such as least privilege access, encryption, DLP controls, secure storage, and auditing-so data remains protected throughout collection, processing, and usage.
Transparency is about making AI systems understandable. This includes communicating when AI is being used, explaining system capabilities and limitations, and providing clarity on how outputs are produced (for example, what data sources are used, what assumptions apply, and why certain recommendations are generated). Transparency reduces confusion and helps users calibrate trust appropriately.
Inclusiveness ensures AI solutions are designed to benefit people of diverse abilities, backgrounds, and experiences. Practically, this includes accessibility (assistive technologies, readable outputs), inclusive UX design, and testing across diverse user groups so the solution does not exclude or disadvantage certain populations.
Accountability emphasizes that humans and organizations remain responsible for AI outcomes. Involving human oversight is a direct expression of accountability: setting governance, defining who owns decisions, establishing escalation paths, and ensuring there are controls for review, intervention, and correction when AI outputs are unsafe or incorrect.
NEW QUESTION # 27
Hotspot Question
Select the answer that correctly completes the sentence.
Answer:
Explanation:
NEW QUESTION # 28
Hotspot Question
Select the answer that correctly completes the sentence.
Answer:
Explanation:
NEW QUESTION # 29
A mid-sized company wants to give all 500 employees access to AI assistance. The company uses Microsoft 365 E3 but has not purchased any additional AI licences. The CEO wants to understand the difference between the free Microsoft Copilot available to all employees and the paid Microsoft 365 Copilot add-on before approving the budget.
What is the key difference between these two products?
Answer: A
Explanation:
The fundamental distinction between the free Microsoft Copilot and the paid Microsoft 365 Copilot is data access. The free Microsoft Copilot is grounded in internet data only and does not access any organisational information. Microsoft 365 Copilot integrates with Microsoft Graph to access the company's emails, documents, calendar events, Teams conversations, and contacts, enabling it to provide contextually relevant assistance within the organisation's own data. This is the primary value proposition for the paid licence.
NEW QUESTION # 30
- 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.
Answer:
Explanation:
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.
NEW QUESTION # 31
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