Engineer: Designing and Implementing an Azure [AI-100] Flashcards
7 cards from real AI practice questions. Tap to flip, then mark Knew It or Still Learning โ missed cards come back until you master them.
Read the first 7 Engineer: Designing and Implementing an Azure [AI-100] flashcards as text
You want to create a custom speech recognition model that handles domain-specific terminology accurately. What is the first step?
Answer: Provide custom training data such as transcripts and pronunciation files to Custom Speech
Custom Speech lets you improve recognition accuracy by supplying domain-specific audio transcripts and pronunciation dictionaries as training data.
You are using Azure Form Recognizer to extract data from invoices. Which prebuilt model should you select?
Answer: The invoice prebuilt model
Azure Form Recognizer provides a prebuilt invoice model trained to extract vendor, line items, totals, and other invoice-specific fields.
Your solution uses Azure Bot Service connected to Microsoft Teams. Users report the bot does not respond in Teams. Where should you check first?
Answer: Whether the Teams channel is enabled in the Bot Channels Registration
Each channel (Teams, Web Chat, etc.) must be explicitly enabled in the Bot Channels Registration for the bot to receive messages from it.
You need to perform real-time translation of spoken audio from English to Spanish during a live call. Which combination of Azure services should you use?
Answer: Speech Translation service with target language set to Spanish
Azure Speech Translation performs end-to-end spoken language translation in real time, handling speech recognition and translation in a single service.
A Cognitive Search index includes a field populated by OCR during indexing. The extracted text quality is poor for scanned PDFs. What should you adjust?
Answer: Enable the imageAction property set to 'generateNormalizedImages' in the skillset
Setting imageAction to 'generateNormalizedImages' improves OCR quality by normalizing image resolution before text extraction.
You need to ensure your Azure Cognitive Services solution uses a customer-managed encryption key stored in Azure Key Vault. What must you configure?
Answer: Customer-managed keys (CMK) in the Cognitive Services resource encryption settings
Enabling CMK encryption in the Cognitive Services resource settings and linking it to an Azure Key Vault key fulfills the customer-managed encryption requirement.
You trained an Azure Machine Learning pipeline and want to retrain the model automatically when new data arrives in Azure Blob Storage. What should you set up?
Answer: An Azure Event Grid trigger that invokes the pipeline endpoint when a blob is created
Event Grid can detect blob creation events and trigger an Azure ML pipeline endpoint, enabling event-driven retraining without polling.