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| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | AI Transformation Leader |
| Exam Number: | AB-731 |
| Exam Price: | $99 USD |
| Exam Duration: | 45 minutes |
| Related Certifications: | Microsoft AI Business Professional (AB-730) |
| Available Languages: | English |
| Passing Score: | 700 |
| Exam Format: | Proctored online exam, Interactive components (may be included), Multiple-choice / scenario-based questions |
| Recommended Training: | AB-731T00: Drive AI transformation in your organization |
| Exam Registration: | Official Microsoft certification page Exam scheduling (Pearson VUE via Microsoft portal) |
| Sample Questions: | Microsoft AB-731 Sample Questions |
| Exam Way: | Online proctored exam (may include interactive components) |
| Pre Condition: | No formal prerequisites required; designed for business leaders and decision-makers. |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/credentials/certifications/ai-transformation-leader/ |
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NEW QUESTION # 70
- 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 # 71
Hotspot Question
Select the answer that correctly completes the sentence.
Answer:
Explanation:
Explanation:
Box: generative
A _______ AI solution recognized patterns in large and complex datasets to create new and original content.
Generative AI solutions represent a transformative class of artificial intelligence that analyzes large, complex, and often unstructured datasets to identify underlying statistical patterns and relationships. By learning these structures-such as language, style, or visual features-the AI can create entirely new, original, and high-quality content that mimics human expression, rather than just classifying or analyzing existing data.
Reference:
https://talentsprint.com/blog/what-is-generative-ai
NEW QUESTION # 72
Your company deploys an AI-powered loan approval solution that enables applicants to request an explanation as to why their loan application was denied.
Which Microsoft responsible AI principle is this an example of?
Answer: A
Explanation:
The correct answer is A. transparency. Transparency means users and stakeholders should understand when AI is being used, what the AI system can do, what its limitations are, and how important outputs or decisions were produced. In this scenario, applicants can request an explanation for why a loan application was denied. That explanation capability makes the AI-assisted decision more understandable and reviewable, which directly supports transparency. Fairness is related to avoiding unjust bias or discriminatory outcomes. Privacy and security focus on protecting personal and organizational data. Inclusiveness focuses on ensuring AI systems work for people with different abilities, backgrounds, and experiences. Because the scenario is specifically about explaining a decision, the best answer is transparency.
NEW QUESTION # 73
Which benefit of generative AI enables organizations to accelerate content creation across departments such as marketing, HR, and communications?
Answer: A
Explanation:
Generative AI can produce first drafts of emails, reports, job descriptions, and other business documents. This accelerates content creation and reduces manual effort across organizational functions.
Reference:
https://learn.microsoft.com/en-us/training/modules/build-effective-generative-ai-solutions- organization/1-introduction
NEW QUESTION # 74
For each of the following statements, select Yes if the statement is true. Otherwise, select No. NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Answer Area
* A manufacturer can use Azure Vision in Foundry Tools to identify product defects on an assembly line. Answer: Yes
* A logistics company can use Azure Vision in Foundry Tools to recognize package shipping labels. Answer: Yes
* The HR department at your company can only use Azure Vision in Foundry Tools to extract written content from Microsoft Word files. Answer: No Azure Vision in Foundry Tools provides computer vision capabilities to analyze images, including identifying visual features and reading text with OCR. Because it is designed to "analyze images" and support vision scenarios, it can be applied to manufacturing quality inspection use cases where the goal is to detect anomalies/defects from images captured on a production line. This aligns with statement 1 being Yes .
Statement 2 is also Yes because recognizing shipping labels is fundamentally text extraction from images (often plus some layout/field parsing). Azure Vision supports optical character recognition (OCR) to read printed text from images, and Microsoft documentation explicitly notes OCR can extract text from images such as product labels and similar real-world text surfaces-making shipping labels a direct fit.
Statement 3 is No because it is incorrectly restrictive. Azure Vision is not limited to extracting written content from Word documents, nor is OCR restricted to Word files. Vision capabilities apply broadly to images (and, depending on the capability, various document/image inputs) for tasks like image analysis and text recognition. HR could use it for many scenarios such as extracting text from scanned images, photos, or other visual inputs-not "only" Word files.
NEW QUESTION # 75
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