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For more info read reference:
microsoft learning site AI-102 Skills measured Publish a Machine Learning Experiment with Microsoft Azure Machine Learning Studio Process and translate speech with Azure Cognitive Speech Services
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Exam AI-102: Designing and Implementing a Microsoft Azure AI Solution
Candidates for Exam AI-102: Designing and Implementing a Microsoft Azure AI Solution build, manage, and deploy AI solutions that leverage Azure Cognitive Services, Azure Cognitive Search, and Microsoft Bot Framework.
Their responsibilities include participating in all phases of AI solutions development—from requirements definition and design to development, deployment, maintenance, performance tuning, and monitoring.
They work with solution architects to translate their vision and with data scientists, data engineers, IoT specialists, and AI developers to build complete end-to-end AI solutions.
Candidates for this exam should be proficient in C# or Python and should be able to use REST-based APIs and SDKs to build computer vision, natural language processing, knowledge mining, and conversational AI solutions on Azure.
They should also understand the components that make up the Azure AI portfolio and the available data storage options. Plus, candidates need to understand and be able to apply responsible AI principles.
Part of the requirements for: Microsoft Certified: Azure AI Engineer Associate
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Who should take the AI-102: Designing and Implementing an Azure AI Solution Exam
The AI-102 Exam certification is an internationally-recognized certification which help to have validation for Azure AI Solution Architects who have ability to accomplish the following technical tasks: analyze solution requirements; design solutions; integrate AI models into solutions; and deploy and manage solutions.
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/ai-102
Microsoft AI-102 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Implement Knowledge Mining and Document Intelligence | - Implement document intelligence solutions - Enrich and index data for search scenarios - Build Azure AI Search solutions |
| Implement Natural Language Processing Solutions | - Implement question answering and conversational AI - Translate and interpret language using Azure AI services - Analyze text using Azure AI Language |
| Implement Generative AI Solutions | - Implement Azure OpenAI Service solutions - Build retrieval-augmented generation (RAG) solutions - Integrate prompt engineering techniques |
| Implement Computer Vision Solutions | - Implement custom vision models - Extract information using OCR and form recognition - Analyze images and videos using Azure AI Vision |
| Plan and Manage an Azure AI Solution | - Select appropriate Azure AI services - Plan solution requirements and architecture - Manage security, compliance, and responsible AI |
Microsoft Designing and Implementing a Microsoft Azure AI Solution Sample Questions:
Select the answer that correctly completes the sentence.
Correct Answer:
Explanation:
Data Analyst.
When dealing with data roles in an organization, responsibilities are divided among data analysts, data engineers, and data scientists. Let's review them:
Data Analyst
Focuses on understanding business requirements and ensuring that the right rules and logic are applied to data so it becomes meaningful for decision-making.
They work closely with stakeholders to define business rules such as data validation rules, aggregation logic, and reporting metrics.
This makes them responsible for identifying which business rules must be applied to data.
Data Engineer
Responsible for designing, building, and maintaining the infrastructure and pipelines that move and process data.
They ensure data availability, reliability, and scalability, but do not usually define business rules.
Data Scientist
Focuses on advanced analytics, predictive modeling, and machine learning.
They use data prepared by engineers and analysts but are not typically the ones who define the business rules that govern how raw data should be interpreted.
Therefore, the correct answer is Data Analyst.
The answer: A data analyst
Microsoft References
Data roles and responsibilities in Azure
What is a Data Analyst?
Responsibilities of Data Engineers vs Data Scientists vs Data Analysts
You have an Azure subscription that contains an Azure Al Video Indexer account.
You need to add a custom brand and logo to the indexer and configure an exclusion for the custom brand.
How should you complete the REST API call? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Correct Answer:
Explanation:
Comprehensive Detailed Explanation
The scenario:
You are working with Azure AI Video Indexer.
You need to add a custom brand/logo and also configure an exclusion so that this brand is not indexed.
In Video Indexer's REST API for brands, the configuration JSON includes:
" enabled " : true/false # Determines whether the brand should be indexed.
Setting " enabled " : false means the brand is excluded.
The other properties in the dropdown ( state , tags , useBuiltin ) are not correct in this context for configuring exclusions.
Therefore, to exclude a custom brand: " enabled " : false
The answer:
Attribute: " enabled "
Value: false
Microsoft References
Video Indexer - Brands customization
Azure Video Indexer API - Brands
You need to analyze video content to identify any mentions of specific company names.
Which three actions should you perform in sequence? To answer move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Correct Answer:
Explanation:
The requirement is to analyze video content to identify mentions of specific company names. This is essentially an audio transcript analysis task (speech-to-text followed by entity recognition). Azure Video Analyzer for Media integrates with Content model customization to detect such entities.
Step-by-step reasoning:
Sign in to the Azure Video Analyzer for Media website.
Azure Video Analyzer for Media (formerly Video Indexer) is the service used for analyzing videos and extracting insights such as speech, text, brands, and entities.
From Content model customization, select Language.
To recognize specific company names in transcripts, you must customize the Language model.
Customization allows you to add vocabulary (e.g., company names) so that speech recognition and transcription are tuned to correctly identify them.
Add the specific company names to the include list.
Adding them to the include list ensures the system actively looks for and recognizes those company names during transcript analysis.
The exclude list would suppress terms, not detect them, so it is not correct in this scenario.
Why not other options?
Sign in to the Custom Vision website # Custom Vision is for image classification/object detection, not audio
/video transcript entity recognition.
From Content model customization, select Brands # The Brands model helps detect logos and existing brand mentions, but for custom company names not in the brand catalog, you must customize the Language model.
Exclude list # Would filter out terms, which is opposite of the requirement.
Correct Answer Order:
Sign in to the Azure Video Analyzer for Media website.
From Content model customization, select Language.
Add the specific company names to the include list.
Microsoft References
Customize models in Video Indexer
Azure Video Analyzer for Media overview
Content model customization in Video Indexer
You successfully run the following HTTP request.
POST https://management.azure.com/subscriptions/18c51a87-3a69-47a8-aedc-a54745f708a1/resourceGroups
/RG1/providers/Microsoft.CognitiveServices/accounts/contosol/regenerateKey?api-version=2017-04-18 Body{ " keyName " : " Key2 " } What is the result of the request?
- A. The primary subscription key and the secondary subscription key were rotated.
- B. A new query key was generated.
- C. The secondary subscription key was reset.
- D. A key for Azure Cognitive Services was generated in Azure Key Vault.
Correct Answer: C 🗳️
Explanation: Only visible for Exam-Killer members. You can sign-up / login (it's free).
You are creating an enrichment pipeline that will use Azure Cognitive Search. The knowledge store contains unstructured JSON data and scanned PDF documents that contain text.
Which projection type should you use for each data type? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Correct Answer:
Explanation:
Comprehensive Detailed Explanation
In an Azure Cognitive Search knowledge store, you can project enriched content into three main forms:
File projection # For storing binary or unstructured documents (e.g., scanned PDFs, images).
Object projection # For storing JSON objects (hierarchical/unstructured JSON data).
Table projection # For storing structured, tabular results (relational data).
Case 1: JSON data
JSON is already structured/unstructured textual data.
The right projection type for JSON in the knowledge store is Object projection.
Case 2: Scanned data
Scanned PDF/image data is binary file-based content.
The right projection type is File projection, so you can store the original scanned file along with extracted text.
Final Answer (Answer Area)
JSON data: Object projection
Scanned data: File projection
Microsoft References
Azure Cognitive Search knowledge store projections
Object vs File vs Table projections
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