Microsoft AI-102 QUESTIONS AND ANSWERS |
VERIFIED AND WELL DETAILED ANSWERS | PLUS
RATIONALES | GUARANTEED PASS | LATEST EXAM
UPDATE |EXAM PREP | STUDY GUIDE | PRACTICE
TEST
Domain 1: Plan and Manage an Azure AI Solution (Questions 1–20)
1. You need to create an Azure AI Services resource that supports multiple services (Text Analytics, Computer
Vision, and Speech) with a single key and endpoint. Which resource type should you create?
,- A) Individual Cognitive Services resources
- B) Azure AI Services multi-service resource
- C) Azure Machine Learning workspace
- D) Azure Bot Service
- Answer: B
- Rationale: A multi-service Azure AI Services resource provides a single key and endpoint for multiple AI
services, simplifying management and billing.
2. Which authentication method is recommended for production applications calling Azure AI Services?
- A) Subscription key in source code
- B) Azure Active Directory (Entra ID) token-based authentication
- C) Connection string in app.config
- D) Shared access signature (SAS)
- Answer: B
- Rationale: Entra ID (formerly Azure AD) authentication is more secure than embedding keys and supports role-
based access control.
3. You need to monitor the latency and failure rate of calls to your Azure AI Services resource. Which tool should
you use?
,- A) Azure Monitor and Application Insights
- B) Azure Cost Management
- C) Azure Advisor
- D) Azure Policy
- Answer: A
- Rationale: Azure Monitor and Application Insights provide metrics, logs, and distributed tracing for AI service
calls.
4. Which Azure resource provides a no-code way to build and deploy custom AI models for classification?
- A) Azure AI Services
- B) Azure Machine Learning designer
- C) Azure AI Custom Vision
- D) Azure Logic Apps
- Answer: C
- Rationale: Custom Vision is a no-code/low-code service specifically for image classification and object
detection.
5. You need to store API keys securely for your AI application. Which Azure service should you use?
, - A) Azure Key Vault
- B) Azure Storage Account
- C) Azure SQL Database
- D) Azure App Configuration
- Answer: A
- Rationale: Azure Key Vault is designed for secure storage of secrets, keys, and certificates.
6. Which pricing tier of Azure AI Services should you choose for a high-volume production workload?
- A) Free (F0)
- B) Standard (S0)
- C) Basic (B0)
- D) Developer (D0)
- Answer: B
- Rationale: The Standard (S0) tier supports higher transaction volumes and is intended for production.
7. You need to ensure that your Azure AI Services resource is only accessible from a specific virtual network.
What should you configure?
- A) Private endpoint and network security group
VERIFIED AND WELL DETAILED ANSWERS | PLUS
RATIONALES | GUARANTEED PASS | LATEST EXAM
UPDATE |EXAM PREP | STUDY GUIDE | PRACTICE
TEST
Domain 1: Plan and Manage an Azure AI Solution (Questions 1–20)
1. You need to create an Azure AI Services resource that supports multiple services (Text Analytics, Computer
Vision, and Speech) with a single key and endpoint. Which resource type should you create?
,- A) Individual Cognitive Services resources
- B) Azure AI Services multi-service resource
- C) Azure Machine Learning workspace
- D) Azure Bot Service
- Answer: B
- Rationale: A multi-service Azure AI Services resource provides a single key and endpoint for multiple AI
services, simplifying management and billing.
2. Which authentication method is recommended for production applications calling Azure AI Services?
- A) Subscription key in source code
- B) Azure Active Directory (Entra ID) token-based authentication
- C) Connection string in app.config
- D) Shared access signature (SAS)
- Answer: B
- Rationale: Entra ID (formerly Azure AD) authentication is more secure than embedding keys and supports role-
based access control.
3. You need to monitor the latency and failure rate of calls to your Azure AI Services resource. Which tool should
you use?
,- A) Azure Monitor and Application Insights
- B) Azure Cost Management
- C) Azure Advisor
- D) Azure Policy
- Answer: A
- Rationale: Azure Monitor and Application Insights provide metrics, logs, and distributed tracing for AI service
calls.
4. Which Azure resource provides a no-code way to build and deploy custom AI models for classification?
- A) Azure AI Services
- B) Azure Machine Learning designer
- C) Azure AI Custom Vision
- D) Azure Logic Apps
- Answer: C
- Rationale: Custom Vision is a no-code/low-code service specifically for image classification and object
detection.
5. You need to store API keys securely for your AI application. Which Azure service should you use?
, - A) Azure Key Vault
- B) Azure Storage Account
- C) Azure SQL Database
- D) Azure App Configuration
- Answer: A
- Rationale: Azure Key Vault is designed for secure storage of secrets, keys, and certificates.
6. Which pricing tier of Azure AI Services should you choose for a high-volume production workload?
- A) Free (F0)
- B) Standard (S0)
- C) Basic (B0)
- D) Developer (D0)
- Answer: B
- Rationale: The Standard (S0) tier supports higher transaction volumes and is intended for production.
7. You need to ensure that your Azure AI Services resource is only accessible from a specific virtual network.
What should you configure?
- A) Private endpoint and network security group
