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NEW QUESTION # 17
You need to create a custom Azure Machine Learning model. The data used to train the model is consistent and uniform.
What should you do first?
Answer: C
Explanation:
The first step in creating a custom Azure Machine Learning model trained on your data is to acquire and prepare the data. This involves activities such as:
Data Collection: Gathering the relevant data from its sources, such as databases, streaming sources, or Azure Blob storage.
Data Cleaning and Preprocessing: Even with consistent and uniform data, you will need to perform steps like handling missing values, removing duplicates, and ensuring standardization.
Data Transformation and Feature Engineering: Converting the raw data into a format suitable for the chosen machine learning algorithm and creating new features that can improve model performance.
Data Splitting: Dividing the dataset into separate training, validation, and testing sets so the model can be trained on one portion and evaluated on data it hasn't seen before.
Note:
Once the data is prepared and ready, the subsequent steps in Azure Machine Learning typically involve:
1. Setting up an Azure Machine Learning workspace if you don't already have one.
2. Creating a data asset within the workspace that points to your data in Azure storage.
3. Configuring compute resources for training the model.
4, Selecting an appropriate model algorithm and writing a training script (or using automated ML features).
5. Training and tuning the model using the prepared data and compute resources Reference:
https://medium.com/@offpagework1.datatrained/building-custom-r-models-in-azure-machine- learning-is-easy-e548598c6325
NEW QUESTION # 18
You need to create an AI assistant for a public customer support portal. The assistant must answer customer questions and start follow-up actions. The solution must minimize development effort.
What should you use?
Answer: B
Explanation:
The correct answer is D. Microsoft Copilot Studio. The requirement is to create an AI assistant for a public customer support portal that can answer customer questions and initiate follow-up actions with minimal development effort. Microsoft Copilot Studio is designed for building custom agents using a low-code approach. It can connect to knowledge sources, provide generative answers, define conversation behavior, and trigger actions through connectors or workflows. Microsoft 365 Copilot Chat is intended for workplace productivity and organizational users, not public customer support portals. Microsoft Security Copilot is for security operations and incident investigation. Microsoft 365 Copilot connectors only make external data available to Copilot experiences; they do not by themselves create a public-facing customer support assistant.
NEW QUESTION # 19
- What should you use for each task? To answer, select the appropriate options in the answer area. NOTE:
Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Answer Area
* Extracting structured data from forms and invoices: Answer: Azure Document Intelligence in Foundry Tools
* Summarizing written content from business reports: Answer: Azure Language in Foundry Tools
* Generating descriptive text for uploaded images: Answer: Azure Vision in Foundry Tools These three tasks align to three different Azure AI capability families: document processing, language understanding/generation, and computer vision.
* Forms and invoices are semi-structured documents where the business need is to extract specific fields (IDs, names, totals, dates) reliably into structured output. Azure Document Intelligence is designed for intelligent document processing and includes prebuilt models (such as invoices) as well as custom extraction options, making it the correct choice for structured data extraction from documents.
* Summarizing written business reports is an NLP task focused on compressing long text into key points, themes, and action items. Azure Language provides language processing capabilities (including summarization features within language service capabilities), so it is the best fit for summarization scenarios.
* Generating descriptive text for images (image captioning/description) is a computer vision task. Azure Vision can analyze uploaded images and return descriptions/captions and other visual insights, which directly matches the requirement to produce descriptive text from images.
NEW QUESTION # 20
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: No
No - Microsoft 365 Copilot provides a single AI app that has identical features and experiences across all Microsoft products.
Microsoft 365 Copilot is not a single, identical app with uniform features across all Microsoft products. Instead, it is an AI-powered assistant embedded within the existing Microsoft 365 apps (Word, Excel, PowerPoint, Outlook, Teams, etc.), and its capabilities are tailored to the specific functions of each application.
Box 2: Yes
Yes - Microsoft 365 Copilot delivers AI capabilities for business users that use Microsoft 365 apps.
Microsoft 365 Copilot is an AI-powered assistant designed to enhance productivity and collaboration by integrating directly into Microsoft 365 apps, including Word, Excel, PowerPoint, Outlook, and Teams. It acts as a "second pilot" that works alongside users, utilizing Large Language Models (LLMs) and Microsoft Graph to automate routine tasks, draft content, and provide real-time insights based on organizational data.
Box 3: Yes
Yes - Microsoft Security Copilot helps companies understand risks and the organizational security posture.
Microsoft Security Copilot is a generative AI-powered security tool designed to help organizations understand risks, assess their security posture, and accelerate threat response. By integrating with the Microsoft Security portfolio-including Defender XDR, Microsoft Sentinel, and Microsoft Intune-it provides a centralized view of security data and offers natural language, actionable guidance.
Reference:
https://techcommunity.microsoft.com/blog/microsoft365copilotblog/copilot-chat-comes-to-the- microsoft-365-apps/4453349
https://www.quest.com/learn/what-is-microsoft-copilot-for-security.aspx
NEW QUESTION # 21
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
* Microsoft Copilot provides a single AI app that has identical features and experiences across all Microsoft products. Answer: No
* Microsoft 365 Copilot delivers AI capabilities for business users that use Microsoft 365 apps.
The answer : Yes
* Microsoft Security Copilot helps companies understand risks and the organizational security posture.
The answer: Yes
* No - "Copilot" is an umbrella brand across Microsoft, but the experiences are not identical. Different Copilots target different workloads (productivity, security, development, business apps) and therefore expose different capabilities, connectors, permissions models, and admin controls. For example, Microsoft 365 Copilot is embedded in Word/Excel/PowerPoint/Outlook/Teams, while Security Copilot is built for SOC workflows and integrates with security tooling; they are intentionally not the same app with the same features.
* Yes - Microsoft 365 Copilot is specifically designed to deliver generative AI assistance for users working in Microsoft 365 applications. It enhances common business tasks such as drafting, summarizing, meeting recap, creating presentations, and working with documents and communications-directly inside the Microsoft 365 productivity suite.
* Yes - Microsoft Security Copilot is focused on security operations and helps analysts understand threats, investigate incidents, and improve visibility into security posture. Its purpose is aligned with helping organizations interpret security signals and risk context more efficiently, which supports understanding organizational risk and posture.
NEW QUESTION # 22
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