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| Section | Weight | Objectives |
|---|---|---|
| Implement Computer Vision Solutions | 15-20% | - Read and process documents using Azure AI Document Intelligence - Implement object detection and image classification - Process video and generate insights - Implement Azure AI Face service - Analyze images using Azure AI Vision |
| Implement Knowledge Mining and Document Intelligence Solutions | 15-20% | - Create custom skills for Azure AI Search - Implement Azure AI Search solutions - Design document processing pipelines - Implement semantic and vector search |
| Implement Natural Language Processing Solutions | 20-25% | - Create conversational AI solutions with Azure AI Bot Service - Build question answering solutions - Analyze text using Azure AI Language - Translate text and speech - Implement speech capabilities using Azure AI Speech |
| Plan and Manage an Azure AI Solution | 15-20% | - Manage AI costs and resource allocation - Plan and configure secure AI solutions - Implement governance and compliance for AI solutions - Select appropriate Azure AI services and technologies |
| Implement Decision Support Solutions | 10-15% | - Monitor and optimize decision support solutions - Design and implement decision automation - Integrate Azure AI services into applications |
| Implement Generative AI Solutions | 10-15% | - Integrate Azure OpenAI models into applications - Implement prompt engineering techniques - Apply responsible AI practices - Use Azure OpenAI Service for generative AI |
A steadily rising competition has been noted in the tech field. Countless candidates around the globe aspire to be Designing and Implementing a Microsoft Azure AI Solution in this field. Microsoft AI-102 stand out from the rest of the Microsoft professionals. Once you become Microsoft certified, a whole new scope opens up to you and you are immediately hired by reputed firms. Even though the Designing and Implementing a Microsoft Azure AI Solution boosts your career options, you have to pass the AI-102 Exam. This Designing and Implementing a Microsoft Azure AI Solution exam serves to filter out the capable from incapable candidates.
NEW QUESTION # 287
Select the answer that correctly completes the sentence.
Answer:
Explanation:
NEW QUESTION # 288
You are building an Azure web app named App1 that will translate text from English to Spanish.
You need to use the Text Translation REST API to perform the translation. The solution must ensure that you have data sovereignty in the United States.
How should you complete the URI? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
1. api-nam.cognitive.microsofttranslator.com
2. translate
https://learn.microsoft.com/en-us/azure/cognitive-services/Translator/reference/v3-0-reference#base-urls Requests to Translator are, in most cases, handled by the datacenter that is closest to where the request originated. If there's a datacenter failure when using the global endpoint, the request may be routed outside of the geography.
To force the request to be handled within a specific geography, use the desired geographical endpoint. All requests are processed among the datacenters within the geography.
- United States
api-nam.cognitive.microsofttranslator.com
https://learn.microsoft.com/en-us/azure/cognitive-services/translator/reference/rest-api-guide
- translate
Translate specified source language text into the target language text.
NEW QUESTION # 289
You need to create a new resource that will be used to perform sentiment analysis and optical character recognition (OCR). The solution must meet the following requirements:
Use a single key and endpoint to access multiple services.
Consolidate billing for future services that you might use.
Support the use of Computer Vision in the future.
How should you complete the HTTP request to create the new resource? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Reference:
https://docs.microsoft.com/en-us/rest/api/deviceupdate/resourcemanager/accounts/create
https://www.analyticsvidhya.com/blog/2020/12/microsoft-azure-cognitive-services-api-for-ai-development/
NEW QUESTION # 290
You are developing an application that includes language translation.
The application will translate text retrieved by using a function named getTextToBeTranslated. The text can be in one of many languages. The content of the text must remain within the Americas Azure geography.
You need to develop code to translate the text to a single language.
How should you complete the code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
NEW QUESTION # 291
Match the Azure services to the appropriate locations in the architecture.
To answer, drag the appropriate service from the column on the left to its location on the right. Each service may be used once, more than once, or not at all.
NOTE: Each correct match is worth one point.
Answer:
Explanation:
Explanation:
Ingest # Azure Data Factory
Store # Azure Data Lake Storage (already provided in the diagram)
Preprocess & model # Azure Synapse Analytics
OLAP # Azure Analysis Services (already provided in the diagram)
Reporting # Microsoft Power BI (already provided in the diagram)
Comprehensive Detailed Explanation
We're building a modern data analytics pipeline with Azure services. Let's analyze each stage:
Ingest (Logs, structured data, etc. # Service)
The ingestion service must orchestrate and move data from multiple sources into the storage layer.
Azure Data Factory is designed for data ingestion and ETL pipelines.
Correct match: Azure Data Factory.
Store (Azure Data Lake Storage)
Already provided.
Serves as the central repository for both structured and unstructured data.
Preprocess & model (Service)
At this stage, raw data from Data Lake must be cleaned, transformed, and prepared for analytics.
Azure Synapse Analytics integrates with Data Lake and supports big data processing, advanced analytics, and modeling.
Correct match: Azure Synapse Analytics.
OLAP (Azure Analysis Services)
Already provided.
Provides semantic modeling, aggregations, and OLAP cubes for analysis.
Reporting (Microsoft Power BI)
Already provided.
Visualizes insights for business users.
Incorrect Options and Why
Azure Cognitive Search: Used for indexing and searching unstructured data (e.g., documents, knowledge mining), not for ingestion or preprocessing.
Azure Data Catalog: Used for metadata management and data discovery, not for ingestion, preprocessing, or modeling in this architecture.
Final Answer Mapping:
Ingest # Azure Data Factory
Store # Azure Data Lake Storage
Preprocess & model # Azure Synapse Analytics
OLAP # Azure Analysis Services
Reporting # Microsoft Power BI
Microsoft References
Azure Data Factory - Data Integration Service
Azure Data Lake Storage - Scalable data lake
Azure Synapse Analytics overview
Azure Analysis Services overview
Power BI overview
NEW QUESTION # 292
......
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