Developing AI Apps and Agents on Azure (AI-103) Practice Test
Developing AI Apps and Agents on Azure (AI-103) के लिए अपना आत्मविश्वास बढ़ाएँ। अवधारणाओं का अभ्यास करें, उत्तरों को समझें और हर सवाल के साथ अपना ज्ञान मज़बूत करें।
एक नमूना सवाल आज़माएँपरीक्षा का परिचय और विवरण
Practice building and managing AI solutions on Azure while you prepare for the Developing AI Apps and Agents on Azure AI-103 Practice Test. Through scenario-based questions, you can strengthen your understanding of planning and managing an Azure AI solution, implementing generative AI and agentic solutions, and working with computer vision, text analysis, and information extraction. Each practice session is a manageable next step toward applying these skills with more confidence.
ब्लूप्रिंट 1.0
नमूना प्रश्न
अभ्यास कैसे काम करता है, यह जानने के लिए एक उत्तर चुनें और व्याख्या देखें।
247 में से 240 उत्तरों में जाँचने योग्य संदर्भ है।
An organization already uses Azure AI Foundry models but has not set up any Foundry projects. They want to deploy and manage these models through the REST API. Which deployment approach is most suitable?
A company has deployed an AI agent to handle customer inquiries. The agent's performance has been inconsistent, with occasional incorrect responses. As the solution architect, you need to ensure reliability and drive continuous improvement. What should you do?
A developer is building an application that uses the Computer Use model to automate a web-based workflow. The application sends an API request with a user instruction, receives a response containing an action, executes the action on the computer, and then sends a screenshot back to the model. What is the primary purpose of sending the screenshot in each iteration?
A developer needs to quickly identify the main points in a collection of unstructured text documents. Which Azure AI capability should they use?
A developer is migrating a repository from the Chat Completions API to the Responses API and encounters an authentication error when calling the Azure OpenAI service. Where should they seek help for this issue?
इस परीक्षा में क्या शामिल है
पढ़ाई की योजना बनाने के लिए प्रकाशित डोमेन भार का उपयोग करें। अभ्यास के परिणाम आपके सर्टिफिकेशन परीक्षा के स्कोर का अनुमान नहीं हैं।
01Implement generative AI and agentic solutions
विषय
- Build generative applications by using Foundry
- Build agents by using Foundry
- Optimize and operationalize generative AI systems
सीखने के उद्देश्य
- Build generative applications by using Foundry
- Build agents by using Foundry
- Optimize and operationalize generative AI systems
02Plan and manage an Azure AI solution
विषय
- Choose the appropriate Foundry services for generative AI and agents
- Set up AI solutions in Foundry
- Manage, monitor, and secure AI systems
- Implement responsible AI across generative AI and agentic systems
सीखने के उद्देश्य
- Choose the appropriate Foundry services for generative AI and agents
- Set up AI solutions in Foundry
- Manage, monitor, and secure AI systems
- Implement responsible AI across generative AI and agentic systems
03Implement computer vision solutions
विषय
- Design and implement image- and video-generation solutions
- Design and implement multimodal understanding workflows
- Implement responsible AI for multimodal content
सीखने के उद्देश्य
- Design and implement image- and video-generation solutions
- Design and implement multimodal understanding workflows
- Implement responsible AI for multimodal content
04Implement information extraction solutions
विषय
- Build retrieval and grounding pipelines
- Extract content from documents
सीखने के उद्देश्य
- Build retrieval and grounding pipelines
- Extract content from documents
05Implement text analysis solutions
विषय
- Apply language model text analysis
- Implement speech solutions
सीखने के उद्देश्य
- Apply language model text analysis
- Implement speech solutions