Practice 60 original Azure AI Engineer AI-102 questions covering planning, vision, language, speech, Azure OpenAI, deployment and monitoring, with detailed explanations.
Level: Azure AI Engineer AssociateDifficulty: advanced60 questions60 min
Choose a practice mode, answer each Azure AI Engineer AI-102 question, then review the explanation. Wrong answers are saved locally for review.
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Question 1
What is Azure AI Foundry?
Azure AI Foundry brings together AI services, models, and tools in one platform. DNS, databases, and CDNs are different.
Question 2
What are Azure AI Services?
Azure AI Services provide prebuilt AI APIs. VMs, storage, and DNS are infrastructure services.
Question 3
What is responsible AI?
Responsible AI is a set of principles that guide safe AI. Firewalls, models, and storage are not principles.
Question 4
What does Azure AI Content Safety do?
Content Safety filters harmful or unsafe content. Storage, translation, and VMs are different services.
Question 5
What is a language resource in Azure?
Language resources contain endpoint and key configuration for Azure AI Language. Tables, DNS, and firewalls are different.
Question 6
What is an AI hub in Azure AI Foundry?
AI hubs organize projects and shared resources. Models, datasets, and load balancers are components.
Question 7
What is a project in Azure AI Foundry?
Projects group assets for a solution. VMs, buckets, and DNS zones are different.
Question 8
What is the model catalog in Azure AI Foundry?
The model catalog lists deployable models. Databases, firewalls, and CDNs are not model catalogs.
Question 9
What is an endpoint in Azure AI?
Endpoints provide URLs for calling AI services. Containers, networks, and databases are different.
Question 10
Match each planning concept to its purpose.
AI Foundry builds apps, AI Services provide APIs, responsible AI guides safety, and content safety filters harm.
Question 11
Which Azure AI service analyzes images for objects, faces, and text?
Vision analyzes images. Language handles text, Speech handles audio, and Search indexes content.
Question 12
What is OCR?
OCR extracts printed or handwritten text from images. Translation, speaker recognition, and audio classification are different.
Question 13
Which service can identify custom objects in images?
Custom Vision builds custom image classifiers and object detectors. Speech, Language, and Search are different.
Question 14
What does face detection do?
Face detection finds faces and their attributes. Translation, speech, and embeddings are different.
Question 15
What is facial recognition?
Facial recognition matches faces to identities. Object detection, OCR, and captions are different.
Question 16
What is image classification?
Image classification assigns labels to images. Speech, translation, and reports are different.
Question 17
What is object detection?
Object detection finds objects and draws boxes around them. Speaker recognition, key phrases, and filters are different.
Question 18
What is an image caption?
Captions describe image content in text. Folders, versions, and DNS records are different.
Question 19
What is a thumbnail?
Thumbnails are small versions of images. Tables, speech models, and routes are different.
Question 20
Match each vision concept to its purpose.
Vision analyzes images, OCR extracts text, Custom Vision detects custom objects, and Face detects faces.
Question 21
Which Azure AI service extracts sentiment, key phrases, and entities from text?
Language provides text analytics. Vision analyzes images, Speech handles audio, and Search indexes content.
Question 22
What is sentiment analysis?
Sentiment analysis evaluates text tone. Faces, audio, and thumbnails are different.
Question 23
What is named entity recognition?
NER finds named entities in text. Speaker recognition, object detection, and captions are different.
Question 24
What is key phrase extraction?
Key phrase extraction highlights important text. OCR, speech translation, and embeddings are different.
Question 25
Which Azure service translates text between languages?
Translator converts text between languages. Vision, Speech, and Search are different.
Question 26
What does Azure AI Document Intelligence do?
Document Intelligence extracts fields and tables from documents. Speaker, speech, and VM tasks are different.
Question 27
What is custom question answering?
Question answering returns answers from defined content. Image generation, faces, and reports are different.
Question 28
What is conversational language understanding?
CLU extracts intents and entities from conversation. TTS, image classification, and content filters are different.
Question 29
What is PII detection?
PII detection finds personal data in text. Faces, thumbnails, and audio translation are different.
Question 30
Match each language concept to its purpose.
Language analyzes text, Translator translates, Document Intelligence extracts data, and question answering returns answers.
Question 31
Which Azure AI service converts speech to text?
Speech provides speech-to-text and related audio capabilities. Vision, Language, and Search are different.
Question 32
What is text to speech?
TTS converts text into audio. OCR, object detection, and embeddings are different.
Question 33
What is speech translation?
Speech translation converts spoken input into another language. Captions, image classification, and filters are different.
Question 34
What is custom speech?
Custom speech adapts models to domains and vocabulary. Databases, DNS, and load balancers are different.
Question 35
What is speaker recognition?
Speaker recognition identifies people from voice. Face detection, OCR, and thumbnails are different.
Question 36
What is pronunciation assessment?
Pronunciation assessment scores how well someone pronounces words. Translation, images, and filters are different.
Question 37
What is SSML?
SSML controls how text is spoken. Storage, DNS, and firewalls are different.
Question 38
What is a speech endpoint?
Speech endpoints provide URLs for speech operations. Models, datasets, and routes are different.
Question 39
What is real-time transcription?
Real-time transcription converts live audio to text. Document translation, object detection, and reports are different.
Question 40
Match each speech concept to its purpose.
Speech-to-text transcribes, TTS speaks, custom speech adapts to domains, and speaker recognition identifies people.
Question 41
What is Azure OpenAI?
Azure OpenAI provides OpenAI models through Azure. DNS, databases, and CDNs are different.
Question 42
What is a prompt?
Prompts are inputs that guide model behavior. Outputs, folders, and routes are different.
Question 43
What is a completion?
Completions are model-generated outputs. Prompts, tables, and DNS records are different.
Question 44
What are embeddings?
Embeddings encode text as numeric vectors for similarity and search. Audio, images, and firewalls are different.
Question 45
What is a token?
Tokens are text units used by models. VMs, storage, and DNS are different.
Question 46
What does temperature control in Azure OpenAI?
Temperature controls randomness. Capacity, speed, and model size are different.
Question 47
What does max tokens limit?
Max tokens caps output length. Model count, storage, and network are different.
Question 48
What is a system message?
System messages define assistant behavior. User questions, outputs, and databases are different.
Question 49
What is content filtering in Azure OpenAI?
Content filtering blocks harmful outputs. Storage, DNS, and load balancers are different.
Question 50
Match each OpenAI concept to its purpose.
GPT models generate text, embeddings are vectors, tokens are text units, and temperature controls randomness.
Question 51
What is a deployment in Azure OpenAI?
Deployments host models behind endpoints. Tables, DNS records, and firewalls are different.
Question 52
What is a managed endpoint?
Managed endpoints are hosted and operated by Azure. Networks, storage, and VMs are different.
Question 53
What is a container deployment?
Containers package AI services for portable deployment. DNS, databases, and CDNs are different.
Question 54
Which Azure service collects logs and metrics?
Azure Monitor collects logs and metrics. DNS, CDN, and Storage are different.
Question 55
What is Application Insights?
Application Insights monitors app performance. Databases, firewalls, and models are different.
Question 56
What is a quota in Azure AI?
Quotas limit resource usage. Models, datasets, and DNS records are different.
Question 57
What is an API key?
API keys authenticate service calls. Versions, containers, and routes are different.
Question 58
What is a model version?
Model versions identify releases. Storage, firewalls, and DNS zones are different.
Question 59
What is evaluation?
Evaluation measures output quality. Deletion, DNS, and storage are different.
Question 60
Match each deployment concept to its purpose.
Deployments host models, containers provide portable runtimes, Monitor collects metrics, and API keys authenticate.