Designing and Implementing an Azure AI Solution Practice Questions
Prepare for AI-100 with more than an answer.
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- v1Version 1 251 questions Locked
- AI-100Legacy Designing and Implementing an Azure AI Solution 50 questions Current
- Exam fee
- $165 USD
- Level
- Associate
- Valid for
- 2 years
Domains covered on the exam 4
- Analyze solution requirements22.5%
- Design AI solutions32.5%
- Integrate AI models into solutions27.5%
- Deploy and manage solutions22.5%
- 1
You are designing the infrastructure for an Al solution that will analyze data stored in Azure Blob storage.
You want to encrypt the storage account by using a key generated by the hardware security module (HSM) of your company.
What should you do first?
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Correct answer: D
Reference:
https://docs. microsoft.com/en-us/azure/storage/common/storage-encryption-keys-Dortal https://docs. microsoft.com/en-us/azure/key-vault/key-vault-hsm-Drotected-keys - 2
You have an Azure Machine Learning model. You deploy the Azure Machine Learning model to a web service. You acquire a custom domain name.
You want to publish the web service by using the custom domain name.You want to ensure that access to the web service is encrypted.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
NOTE: Each correct selection is worth one point.
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Correct answer: A
To publish an Azure Machine Learning web service with a custom domain name and ensure secure access, the correct sequence shown in the drag-and-drop interface is: 1) Obtain an SSL certificate (required for HTTPS on custom domain), 2) Update DNS (to point custom domain to the service), and 3) Update the web service (to configure it with the new domain and certificate). SSL certificates are essential for secure HTTPS communication when using custom domains, DNS updates are necessary to route traffic to your service, and finally the web service configuration must be updated to recognize and use the new domain. The other actions like generating SAS tokens, adding deployment slots, or creating Key Vault are not required for this specific custom domain publishing scenario.
- 3
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You are developing a Microsoft Bot Framework application. The application consumes structured NoSQL data that must be stored in the cloud.
You implement Azure Blob storage for the application. You want access to the blob store to be controlled by using a role.
Solution: You implement Shared Access Signatures (SAS) on the storage account.
Does this meet the goal?
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Correct answer: B
Explanation:
Shared access signatures (SAS) provide limited delegated access to resources in a storage account. Adding constraints on the time interval for which the signature is valid or on permissions it grants provides flexibility in managing access.
Use Azure Active Directory (Azure AD) instead. -- Reference:
https://docs.microsoft.com/en-us/azure/storage/common/storage-auth - 4
You are developing a mobile app. You want to implement search functionality in the app.
You want uses to be able to search by inputting their query by typing or by using speech.
Which core component should you implement for the app?
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Correct answer: D
Explanation:
Azure Cognitive Search (formerly known as "Azure Search") is a search-as-a-service cloud solution that gives developers APIs and tools for adding a rich search experience over private, heterogeneous content in web, mobile, and enterprise applications. Your code or a tool invokes data ingestion (indexing) to create and load an index. Optionally, you can add cognitive skills to apply Al processes during indexing. Doing so can add new information and structures useful for search and other scenarios.
Incorrect answers:
B: QnA Maker is a cloud-based API service that lets you create a conversational question-and-answer layer over your existing data. Use it to build a knowledge base by extracting questions and answers from your semi structured content, including FAQs, manuals, and documents. Answer users’ questions with the best answers from the QnAs in your knowledge base—automatically. -- Reference:
https://docs.microsoft.com/en-us/azure/search/search-what-is-azure-search
