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| Section | Weight | Objectives |
|---|---|---|
| Identify an implementation and adoption strategy for Microsoft AI apps and services | 20–25% | - AI adoption strategy
|
| Identify benefits, capabilities, and opportunities for Microsoft AI apps and services | 35–40% | - Microsoft AI ecosystem
|
| Identify the business value of generative AI solutions | 35–40% | - AI value identification
|
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NEW QUESTION # 18
Your company plans to adopt AI across multiple business units.
You need to ensure that all AI projects align with the company's business strategy and are implemented responsibly.
What is the best approach to achieve the goal? More than one answer choice may achieve the goal. Select the BEST answer.
Answer: B
NEW QUESTION # 19
Your company has an AI solution that uses a prebuilt Azure OpenAI model to generate content.
You need to reduce the cost of solution while minimizing the impact on the quality of the generated output.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
Answer: C,D
Explanation:
To reduce costs for a prebuilt Azure OpenAI model while maintaining high output quality, you should implement a combination of prompt optimization, caching, and model selection strategies.
[C]
1. Optimize Prompt Engineering
Reducing the number of tokens processed is the most direct way to lower costs.
Prompt Compression: Use tools like LLMLingua to remove redundant text from prompts without losing semantic meaning.
Task Decomposition: Break complex tasks into smaller, focused prompts to improve clarity and reduce expensive retries.
Shorten Context: Summarize long conversation histories or external RAG (Retrieval-Augmented Generation) documents before sending them to the model.
2. Implement Caching Mechanisms
[A]
3. Use Model Routing and Tiering
Matching request complexity to model capability can reduce costs by 30-60%.
*-> Model Cascading: Use a small, cheap model (e.g., GPT-4o-mini) for simple tasks like classification or basic formatting. Route only complex reasoning tasks to high-end models like GPT-4o.
Reasoning Effort Control: For newer models like GPT-5, adjust the reasoning_effort parameter to
"minimal" for straightforward tasks to save on compute.
Reference:
https://ekaivakriti.com/blog/how-to-reduce-openai-costs-by-60-percent/
NEW QUESTION # 20
Hotspot Question
Select the answer that correctly completes the sentence.
Answer:
Explanation:
Explanation:
Box: crafting clear instructions to guide generative AI solutions in generating context-appropriate content.
Prompt engineering is the process of ___________________.
Prompt engineering is the process of crafting, evaluating, and improving prompts to gain more accurate outputs from an AI model. Factors that improve prompts include the LLM's preferred format, specificity of language, appropriately identifying the audience's expectations, and making function calls for external data.
At its core, prompt engineering is about reducing ambiguity so the model doesn't have to "guess" what you want. It's the bridge between a vague idea and a high-quality output.
Beyond just clarity, modern prompting often involves specific frameworks like Chain-of-Thought (asking the AI to think step-by-step) or Few-Shot Prompting (providing examples) to significantly improve reasoning and accuracy.
Reference:
https://www.linkedin.com/pulse/using-prompt-engineering-optimize-genai-models-iabac-nfa9c
NEW QUESTION # 21
Hotspot Question
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:
Box 1: Yes
Microsoft 365 Copilot is directly embedded within daily office productivity applications (such as Word, Excel, PowerPoint, Outlook, and Teams) to natively assist users in drafting text, summarizing long email threads, and analyzing data patterns.
Box 2: No
While Copilot Studio can be used to extend Microsoft 365 Copilot, it is not its exclusive purpose.
Copilot Studio is an independent low-code development platform that allows you to build completely standalone custom conversational bots, web chat agents, and automated voice response systems deployed to external websites, mobile apps, or Facebook Messenger.
Box 3: No
Automatically assigning data classification and sensitivity labels (such as "Confidential" or
"Public") to enterprise documents is the role of Microsoft Purview Information Protection.
Microsoft Security Copilot (now Copilot for Security) focuses instead on defensive cybersecurity operations, such as summarizing incident alerts, analyzing malicious scripts, and assisting security analysts with threat hunting.
NEW QUESTION # 22
Hotspot Question
Select the answer that correctly completes the sentence.
Answer:
Explanation:
Explanation:
Box: Azure Machine Learning
You use _________ to train a model that will forecast product demand based on historical sales data.
Using Azure Machine Learning to forecast product demand based on historical sales data is best accomplished using Automated Machine Learning (AutoML) for Time-Series Forecasting. This approach allows you to train, evaluate, and deploy a high-quality model, often without writing extensive code, by automatically testing various algorithms and preprocessing data.
Reference:
https://learn.microsoft.com/en-us/azure/machine-learning/concept-automl-forecasting-methods
NEW QUESTION # 23
......
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