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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Secure, monitor, and optimize AI solutions | 20% | - Implement observability and reliability
|
| Topic 2: Develop containerized AI solutions on Azure | 25% | - Implement container hosting environments
|
| Topic 3: Develop AI solutions using Azure data services | 30% | - Implement vector-enabled databases
|
| Topic 4: Integrate backend services and build event-driven architectures | 25% | - Build serverless APIs and workflows
|
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NEW QUESTION # 43
You need to add a custom voice that matches your company's brand for a text-to-speech feature, distinct from any standard neural voice. What should you use?
Answer: B
Explanation:
Custom Neural Voice lets you train a unique synthetic voice from recorded voice samples, producing a brand-specific voice rather than using one of the standard prebuilt neural voices.
NEW QUESTION # 44
Hotspot Question
You configure an Event Grid event subscription that routes AI file-upload events to an Azure Function endpoint.
Events must be delivered only in the following conditions:
- The event path starts with /uploads/ai/.
- The payload property data.fileType is "pdf."
You must store undelivered events for later investigation and reprocessing if the subscriber endpoint cannot accept an event after multiple retries.
You need to configure the filtering and reliability settings.
Which configurations should you use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Box 1: Advanced filter
You should use an advanced filter to check that the path starts with /uploads/ai/ and that the payload property matches pdf.
Box 2: Advanced filter
Payload Property Condition: Use an Advanced Filter. While Subject filters handle prefix/suffix matching and Event Type filters handle the event schema type, Advanced filters are required to inspect deeply nested properties inside the event's data payload.
Box 3: Dead-letter destination
You should configure a Dead-letter destination to store undelivered events for later investigation and reprocessing.
Reference:
https://oneuptime.com/blog/post/2026-02-16-how-to-filter-azure-event-grid-subscription-events-with-advanced-filters/view
https://oneuptime.com/blog/post/2026-02-16-how-to-use-azure-event-grid-with-power-automate-to-react-to-blob-storage-events/view
NEW QUESTION # 45
You optimize an AI inference API that uses Redis caching.
You must reduce the risk of serving outdated data while minimizing cache management overhead.
You need to implement the caching strategy that satisfies the requirements.
What should you do?
Answer: A
Explanation:
Trigger invalidation when source data changes is the best action.
Data Freshness: This is a proactive cache-aside or write-through approach. By explicitly deleting or updating the specific Redis key when the underlying database or model data changes, you completely eliminate the risk of serving stale data.
Low Overhead: It keeps cache management overhead minimal because invalidation logic is execution-dependent (event-driven). Instead of constantly updating expirations or relying on heavy computing logic, you only trigger an action when a write/change event occurs.
Incorrect:
[not B]
Set eviction policy to allkeys-lru:
This policy is a memory management feature, not a data-freshness strategy. It only deletes the Least Recently Used (LRU) keys when your Redis instance runs out of RAM. If memory usage is stable, outdated data will sit in the cache forever, posing a major risk of serving stale inferences.
[not D]
Reset expiration on each read (Sliding TTL):
This actively increases the risk of serving outdated data. If a specific AI response is highly popular and read continuously, its expiration window will extend indefinitely. The data remains stuck in the cache even if the source data undergoes critical updates.
Reference:
https://oneuptime.com/blog/post/2026-01-30-llm-caching-strategies/view
NEW QUESTION # 46
You are implementing an Azure solution that uses Azure Cosmos DB and the latest Azure Cosmos DB SDK.
You add a change feed processor to a new container instance.
You attempt to read a batch of 100 documents. The process fails when reading one of the documents. The solution must monitor the progress of the change feed processor instance on the new container as the change feed is read. You must prevent the change feed processor from retrying the entire batch when one document cannot be read.
You need to implement the change feed processor to read the documents.
Which features should you use? To answer, move the appropriate features to the correct requirements. Each feature may be used once, more than once, or not at all. You may need to move the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
NEW QUESTION # 47
You process Azure Service Bus messages that require a dependent external API call.
If the API is temporarily unavailable, you must delay processing of the message without incrementing the delivery count. You need to find a way to process the message when the API is available while keeping the message accessible. Which message action should you perform?
Answer: D
NEW QUESTION # 48
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