High Availability for Azure AI Services (Single Region)
Which TWO actions should you take to ensure high availability for an Azure AI service deployed in a single region?
Quick Answer
The correct answer is to deploy the AI service in a second Azure region and enable autoscaling within the single region. Autoscaling ensures high availability by dynamically adjusting instance counts to meet demand, preventing resource exhaustion and service degradation during traffic spikes. Deploying to a second region provides geographic redundancy, allowing failover if the primary region experiences a full outage—a critical layer of protection even when the question specifies a single-region focus. On the AI-102 exam, this tests your understanding that high availability is not just about scaling within one region but also about cross-region disaster recovery; a common trap is assuming autoscaling alone suffices for all scenarios. Remember the mnemonic “Scale up, fail over” to pair autoscaling for load spikes with a secondary region for region-wide failures.
⚠ Common exam trap
It's easy for candidates to confuse high-availability features like autoscaling and multi-region deployment with unrelated services like backup or DDoS protection, or incorrectly assume that read-only replicas apply to AI services as they do to databases.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Configure autoscaling for the AI service.
Autoscaling allows the Azure AI service to dynamically adjust the number of instances based on demand, ensuring that the service can handle traffic spikes without downtime. This is a key high-availability feature within a single region, as it prevents resource exhaustion and maintains responsiveness. Option C is correct because deploying the AI service in a second Azure region provides geographic redundancy, enabling failover if the primary region experiences an outage, which is a fundamental high-availability strategy.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Configure autoscaling for the AI service.
Why this is correct
Autoscaling adjusts capacity to maintain performance under load.
- ✗
Use a read-only replica of the AI service.
Why it's wrong here
AI services do not support read replicas; that applies to databases.
- ✓
Deploy the AI service in a second Azure region.
Why this is correct
Multi-region deployment provides geographic redundancy.
- ✗
Enable Azure DDoS Protection.
Why it's wrong here
DDoS protection mitigates network attacks, not availability.
- ✗
Enable Azure Backup for the AI resource.
Why it's wrong here
Azure Backup is for virtual machine data, not AI service availability.
Go deeper
Related to this question
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Same concept, more angles
1 more way this is tested on AI-102
These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.
Variation 1. Which TWO actions should you take to ensure your Azure AI Language custom question answering project can be used in a production environment with high availability?
medium- ✓ A.Enable multiple read replicas for the knowledge base.
- B.Disable redundant infrastructure to optimize performance.
- C.Use the Free (F0) pricing tier to reduce costs.
- ✓ D.Deploy the resource in a region that supports availability zones.
- E.Train the model using only a single language.
Why A: Enabling multiple read replicas for the knowledge base in Azure AI Language custom question answering distributes read traffic across replicas, ensuring high availability and fault tolerance. This is a key production requirement to handle concurrent user queries without a single point of failure.
JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This AI-102 practice question is part of Courseiva's free Microsoft certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the AI-102 exam.