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Microsoft - AI-901 Valid Questions and Answers 1 of 11 100% Valid Questions - Guaranteed Success Category Breakdown Category Number of Questions Implement generative AI apps and agents by using Foundry 5 Describe principles of responsible AI 3 Identify AI model components and configurations 1 Implement AI solutions with computer vision and image-generation capabilities by using Foundry 1 TOTAL 10 Question #:1 - [Implement generative AI apps and agents by using Foundry] You are developing an application that analyze invoices by using Azure Content Understanding in Foundry Tools. You need to ensure that the application retrieves the analysis results after processing completes. How should you complete the Python code? To answer, select the appropriate option in the answer area. NOTE: Each correct selection is worth one point. Answer: Microsoft - AI-901 Valid Questions and Answers 2 of 11 100% Valid Questions - Guaranteed Success Explanation The completed code is: poller = client.begin_analyze( analyzer_id="invoice", input_url=url ) result = poller.result() Azure Content Understanding analysis uses a long-running operation pattern. The Python SDK returns a poller from begin_analyze(), and Microsoft documentation states that the SDK poller handles polling automatically when you call .result() Therefore, to retrieve the analysis results after processing completes, the correct option is: result The other options are incorrect because status checks operation state, wait waits without returning the final analysis object, and get_results is not the method shown for retrieving the begin_analyze() result in this code pattern. Question #:2 - [Implement generative AI apps and agents by using Foundry] For each of the following statements, select Yes if the statement is true. Otherwise, select No. NOTE: Each correct selection is worth one point. Microsoft - AI-901 Valid Questions and Answers 3 of 11 100% Valid Questions - Guaranteed Success Answer: Explanation In Microsoft Foundry Agent Service, tool_choice controls whether and how an agent uses tools during a run. Statement 1: Yes Setting tool_choice to lets the agent/model decide whether to call a tool. This statement is true. auto Statement 2: No Setting tool_choice to does mean the model decides whether to call a tool. It means the model will none not not call a tool. This statement is false. Statement 3: Yes Setting tool_choice to means the agent must call one or more tools during the run. This statement is required true. Microsoft documentation describes the tool_choice values as follows: auto allows the model to decide whether to call tools, none prevents tool calls, and required forces one or more tool calls. Microsoft - AI-901 Valid Questions and Answers 4 of 11 100% Valid Questions - Guaranteed Success A. B. C. D. Question #:3 - [Implement generative AI apps and agents by using Foundry] You need to create an AI agent in Microsoft Foundry that follows a specific role and behavior when responding to users. What should you configure? tokens per minute (TPM) system instructions temperature max completion tokens Answer: B Explanation To create an AI agent that follows a specific role and behavior, you configure . Microsoft system instructions Foundry Agent Service documentation states that agent instructions define goals, constraints, and behavior Option controls throughput quota, not behavior. A. tokens per minute (TPM) Option controls response randomness/creativity, not the agent’s role. C. temperature Option controls response length, not the agent’s role or behavioral rules. D. max completion tokens Therefore, the correct answer is B. system instructions Question #:4 - [Describe principles of responsible AI] You are reviewing best practices for using AI at your company. Which Microsoft responsible AI principle is each task an example of? To answer, drag the appropriate principles to the correct tasks. Each task may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content. NOTE: Each correct match is worth one point. Microsoft - AI-901 Valid Questions and Answers 5 of 11 100% Valid Questions - Guaranteed Success Answer: Explanation Fairness Privacy and security Transparency Reliability and safety Comprehensive and Detailed Explanation with all Azure AI documents : = Evaluating model outputs to ensure that decisions are NOT biased against specific demographic groups: Fairness Microsoft’s responsible AI principle of means AI systems should treat people fairly and avoid unfair fairness bias across demographic groups. Encrypting sensitive customer data and restricting system access to authorized personnel: Privacy and security The principle requires AI systems to protect personal and sensitive data and prevent privacy and security unauthorized access. Informing users when they are interacting with an AI system and explaining the system’s capabilities and limitations: Transparency Microsoft - AI-901 Valid Questions and Answers 6 of 11 100% Valid Questions - Guaranteed Success The principle requires that people understand when they are interacting with AI and understand transparency the system’s purpose, capabilities, and limitations. Testing AI systems under different conditions to reduce unexpected failures: Reliability and safety The principle means AI systems should operate reliably and safely, including through reliability and safety testing and validation under expected and unexpected conditions. Question #:5 - [Identify AI model components and configurations] For each of the following statements, select Yes if the statement is true. Otherwise, select No. NOTE: Each correct selection is worth one point. Answer: Explanation Statement 1: In the new Microsoft Foundry portal, you must fine-tune a model before you can deploy = the model. No Microsoft - AI-901 Valid Questions and Answers 7 of 11 100% Valid Questions - Guaranteed Success Fine-tuning is optional. Microsoft’s Foundry model deployment documentation describes deploying Foundry Models directly from the model catalog for inference. It does not require fine-tuning first. Statement 2: In the new Microsoft Foundry portal, you can test a model from the model catalog only = after you deploy the model. No Microsoft documentation states that some Foundry Tools are available to try via the model catalog , and Foundry playgrounds are used for prototyping and validation before production. without a project Therefore, the statement using “only after you deploy” is too restrictive. Statement 3: In the new Microsoft Foundry portal, you can deploy a model from the model catalog only = after retraining the model. No Retraining/fine-tuning is not required before deployment. Microsoft states that after you deploy a Foundry Model, you can interact with it in the Foundry Playground and use it from code, and the deployment workflow starts by selecting a model from the model catalog and choosing Deploy Question #:6 - [Describe principles of responsible AI] Select the answer that correctly completes the sentence. Answer: Explanation Microsoft - AI-901 Valid Questions and Answers 8 of 11 100% Valid Questions - Guaranteed Success A. B. C. D. The completed sentence is: Ensuring that human reviewers oversee AI-generated decisions and remain responsible for the final output is an example of the Microsoft responsible AI principle of accountability . Accountability means people and organizations remain responsible for AI systems and their effects. Human review and responsibility for final decisions are examples of accountability. The other options are incorrect: fairness focuses on avoiding bias and treating people fairly. privacy and security focuses on protecting data and restricting access. transparency focuses on explaining AI use, capabilities, and limitations. Question #:7 - [Implement generative AI apps and agents by using Foundry] You have a Microsoft Foundry project that contains a generative AI model deployment. You test the model by using the Foundry playground. You need to develop an application that sends requests to the deployed model. Which information must the application include to call the model? The model training dataset The Foundry project display name The exported playground session history The model endpoint and authentication credentials Answer: D Explanation To call a deployed Azure OpenAI model from an application, the app must know the service endpoint and authenticate its request. Microsoft documentation states that Azure OpenAI supports API key authentication or Microsoft Entra ID authentication, and API key authentication requires including the API key in the request. Microsoft quickstart guidance also states that to successfully make a call against Azure OpenAI, you need an endpoint and a key. The application does not need the model training dataset, the Foundry project display name, or exported playground session history to call the deployed model. Question #:8 - [Describe principles of responsible AI] You are developing an AI-powered customer support application. Microsoft - AI-901 Valid Questions and Answers 9 of 11 100% Valid Questions - Guaranteed Success A. B. C. D. Which task is an example of the Microsoft responsible AI principle of inclusiveness? Provide explanations about how predictions are generated. Design the interface to support multiple languages and screen readers. Evaluate model outputs across demographic groups to reduce bias. Encrypt stored customer data and restrict access by using role-based controls. Answer: B Explanation The Microsoft responsible AI principle of means AI systems should be designed to empower inclusiveness and engage everyone, including people with different abilities, languages, and accessibility needs. Therefore, designing the interface to support is an example of multiple languages and screen readers inclusiveness Why the other options are incorrect: A. Provide explanations about how predictions are generated = Transparency C. Evaluate model outputs across demographic groups to reduce bias = Fairness D. Encrypt stored customer data and restrict access by using role-based controls = Privacy and security Question #:9 - [Implement AI solutions with computer vision and image-generation capabilities by using Foundry] Select the answer that correctly completes the sentence. Answer: Microsoft - AI-901 Valid Questions and Answers 10 of 11 100% Valid Questions - Guaranteed Success A. B. C. D. Explanation A schema defines which fields to extract when analyzing content. In Azure Content Understanding, the schema or fieldSchema defines the structured data that the analyzer extracts from content, including field names, types, and extraction behavior. Microsoft documentation states that Content Understanding lets you define a schema to extract, classify, or generate field values from unstructured content. The other options are incorrect: A keyword list does not define the complete structured output fields. OCR-only processing extracts text, but it does not define structured fields. A synchronous API call describes a request pattern, not the extraction schema. Question #:10 - [Implement generative AI apps and agents by using Foundry] You are developing an application that processes voicemail recordings by using Azure Content Understanding in Foundry Tools. Which feature does Azure Content Understanding use to convert audio to text? Voice Live key phrase extraction transcription optical character recognition (OCR) Microsoft - AI-901 Valid Questions and Answers 11 of 11 100% Valid Questions - Guaranteed Success Answer: C Explanation Azure Content Understanding uses to convert audio content, such as voicemail recordings, into transcription text. Microsoft’s Azure Content Understanding audio documentation states that transcription converts conversational audio into searchable and analyzable text-based transcripts. Option is not the feature used by Content Understanding to convert voicemail recordings into A. Voice Live text. Option identifies important phrases after text is available; it is not the audio-to-text B. key phrase extraction conversion step. Option is for extracting text from images or documents, not audio. D. optical character recognition (OCR) Therefore, the correct answer is C. transcription About dumpsleader.com dumpsleader.com was founded in 2007. 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