Practice Questions
Question 1
You need to build a chatbot that can generate natural, human-like responses and maintain context across multiple user interactions. Which Azure service should you use?
A. Azure AI Language
B. Azure AI Speech
C. Azure OpenAI Service
D. Azure AI Vision
Correct Answer: C
Explanation:
Azure OpenAI Service provides large language models capable of multi-turn conversational AI. Azure AI Language supports traditional NLP tasks but not advanced generative conversations.
Question 2
Which feature of Azure OpenAI Service enables semantic search by representing text as numerical vectors?
A. Prompt engineering
B. Text completion
C. Embeddings
D. Tokenization
Correct Answer: C
Explanation:
Embeddings convert text into vectors that capture semantic meaning, enabling similarity search and retrieval-augmented generation (RAG).
Question 3
An organization wants to generate summaries of long internal documents while ensuring their data is not used to train public models. Which service meets this requirement?
A. Open-source LLM hosted on a VM
B. Azure AI Language
C. Azure OpenAI Service
D. Azure Cognitive Search
Correct Answer: C
Explanation:
Azure OpenAI ensures customer data isolation and does not use customer data to retrain models, making it suitable for enterprise and regulated environments.
Question 4
Which type of workload is Azure OpenAI Service primarily designed to support?
A. Predictive analytics
B. Generative AI
C. Rule-based automation
D. Image preprocessing
Correct Answer: B
Explanation:
Azure OpenAI focuses on generative AI workloads, including text generation, conversational AI, code generation, and embeddings.
Question 5
A developer wants to build an AI assistant that can explain code, generate new code snippets, and translate code between programming languages. Which Azure service should be used?
A. Azure AI Language
B. Azure Machine Learning
C. Azure OpenAI Service
D. Azure AI Vision
Correct Answer: C
Explanation:
Azure OpenAI supports code-capable large language models designed for code generation, explanation, and translation.
Question 6
Which Azure OpenAI capability is MOST useful for building retrieval-augmented generation (RAG) solutions?
A. Chat completion
B. Embeddings
C. Image generation
D. Speech synthesis
Correct Answer: B
Explanation:
RAG solutions rely on embeddings to retrieve relevant content based on semantic similarity before generating responses.
Question 7
Which security feature is a key benefit of using Azure OpenAI Service instead of public OpenAI endpoints?
A. Anonymous access
B. Built-in image labeling
C. Azure Active Directory integration
D. Automatic data labeling
Correct Answer: C
Explanation:
Azure OpenAI integrates with Azure Active Directory and RBAC, providing enterprise-grade authentication and access control.
Question 8
A solution requires generating marketing copy, summarizing customer feedback, and answering user questions in natural language. Which Azure service best supports all these requirements?
A. Azure AI Language
B. Azure OpenAI Service
C. Azure AI Vision
D. Azure AI Search
Correct Answer: B
Explanation:
Azure OpenAI excels at generating and transforming text using large language models, covering all described scenarios.
Question 9
Which statement BEST describes how Azure OpenAI Service handles customer data?
A. Customer data is used to retrain models globally
B. Customer data is publicly accessible
C. Customer data is isolated and not used for model training
D. Customer data is stored permanently without controls
Correct Answer: C
Explanation:
Azure OpenAI ensures data isolation and does not use customer prompts or responses to retrain foundation models.
Question 10
When should you choose Azure OpenAI Service instead of Azure AI Language?
A. When performing key phrase extraction
B. When detecting named entities
C. When generating original text or conversational responses
D. When identifying sentiment polarity
Correct Answer: C
Explanation:
Azure AI Language is designed for traditional NLP tasks, while Azure OpenAI is used for generative AI tasks such as text generation and conversational AI.
Final Exam Tip
If the scenario involves creating new content, chatting naturally, generating code, or semantic understanding at scale, the correct answer is likely related to Azure OpenAI Service.
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