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Microsoft AI-103 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Implement text and speech analysis solutions | 10–15% | - Implement speech capabilities
|
| Implement computer vision solutions | 10–15% | - Build multimodal solutions
|
| Implement generative AI and agentic solutions | 30–35% | - Design and implement intelligent agents
|
| Implement information extraction and knowledge mining | 10–15% | - Build knowledge bases and search solutions
|
| Plan and manage Azure AI solutions | 25–30% | - Design Azure AI infrastructure
|
Microsoft Developing AI Apps and Agents on Azure Sample Questions:
Note: This section contains one or more sets of questions with the same scenario and problem. Each question presents a unique solution to the problem. You must determine whether the solution meets the stated goals. More than one solution in the set might solve the problem. It is also possible that none of the solutions in the set solve the problem.
After you answer a question in this section, you will NOT be able to return. As a result, these questions do not appear on the Review Screen.
You have a multimodal AI generative model that accepts image uploads and uses extracted image text to generate responses.
You discover that users can upload unsafe images and embed hidden instructions into images to manipulate the model.
You need to implement controls to mitigate the risk.
Solution: You configure a prompt shield for documents.
Does this meet the goal?
- A. No
- B. Yes
Explanation: Only visible for ActualTestsQuiz members. You can sign-up / login (it's free).
You are building a voice agent for a pharmacy. It must accept spoken questions, reply with synthesised speech, and accurately recognise specialised medicine names that a general speech model often mishears. Which capability should you configure?
- A. Azure AI Document Intelligence on the audio stream
- B. Azure Translator to convert the audio
- C. Only the default text-to-speech voice
- D. A custom speech model for speech-to-text within the agent
Explanation: Only visible for ActualTestsQuiz members. You can sign-up / login (it's free).
Note: This section contains one or more sets of questions with the same scenario and problem. Each question presents a unique solution to the problem. You must determine whether the solution meets the stated goals. More than one solution in the set might solve the problem. It is also possible that none of the solutions in the set solve the problem.
After you answer a question in this section, you will NOT be able to return. As a result, these questions do not appear on the Review Screen.
You have a multimodal AI generative model that accepts image uploads and uses extracted image text to generate responses.
You discover that users can upload unsafe images and embed hidden instructions into images to manipulate the model.
You need to implement controls to mitigate the risk.
Solution: You configure a prompt shield for user prompts.
Does this meet the goal?
- A. No
- B. Yes
Explanation: Only visible for ActualTestsQuiz members. You can sign-up / login (it's free).
Hotspot Question
You have a Python application that redacts sensitive information before sending prompt text to a language model. The application has the following code:
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Explanation:
Box 1: No
The audit list will not include entity records for "Contact" and "SSN" because neither word is a target PII entity type defined in the configuration.
The code limits scanning to Person and PhoneNumber via the piiCategories list.
"Contact" Definition: This is a regular English verb/noun, not a person's name or a telephone number.
"SSN" Definition: While "SSN" is a text label that points to sensitive data, it is a descriptor rather than an actual Social Security Number.
Box 2: Yes
For the given sample_text, text_for_model will include both or [email protected] and 859-
98-0987 completely unredacted.
The payload explicitly restricts the Personally Identifiable Information (PII) recognition to only two specific categories by setting piiCategories: ["Person", "PhoneNumber"].
Email Address Excluded: Because the Email category is omitted from the configuration list, the service bypasses the email address ([email protected]) and leaves it fully intact.
SSN Excluded: Similarly, because the USSSN (or equivalent Social Security Number) category is not specified in the piiCategories array, the SSN (859-98-0987) is completely ignored by the redaction policy and remains visible.
Box 3: Yes
text_for_model will contain entity type masks for "John Doe" and "312-555-1234", but only for those two specific items.
The piiCategories array explicitly requests Person and PhoneNumber.
Applied Redaction: The Azure AI Language service will replace "John Doe" and "312-555-1234" with masks like * or entity labels (depending on exact policy settings).
Skipped Data: The email ([email protected]) and the SSN (859-98-0987) will not be redacted because their categories (Email and USSSN) were omitted from your piiCategories list.
Reference:
https://learn.microsoft.com/en-us/azure/ai-services/language-service/personally-identifiable-information/concepts/conversations-entity-categories
You are deploying a support agent that enables users to upload photos.
You need to automatically classify uploaded images for harmful content. The solution must block content based on severity levels.
What should you do?
- A. Use blocklists.
- B. Implement image moderation.
- C. Apply keyword scanning to optical character recognition (OCR) output by using Azure Vision in Foundry Tools.
- D. Enable prompt shields.
Explanation: Only visible for ActualTestsQuiz members. You can sign-up / login (it's free).
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