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.
AI-102 Plan and manage an Azure AI solution Practice Question
This AI-102 practice question tests your understanding of plan and manage an azure ai solution. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
Which TWO actions should you take to ensure high availability for an Azure AI service deployed in a single region?
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.
Option A is correct because 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.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
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.
Related concept
Read the scenario before looking for a memorised answer.
✗
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.
Read the scenario before looking for a memorised answer.
✗
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.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often 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.
Detailed technical explanation
How to think about this question
Autoscaling in Azure AI services works by monitoring metrics such as CPU usage, request latency, or queue length, and then automatically adjusting the number of dedicated capacity units (e.g., S0, S1 tiers) via Azure Monitor autoscale rules. For regional redundancy, Azure AI services can be deployed in paired regions (e.g., East US and West US) and use a traffic manager or custom load-balancing logic to route requests; however, note that not all AI services support multi-region deployment natively—some require manual replication of models and data. A real-world scenario is a chatbot service that must remain available during a regional outage; autoscaling handles local spikes, while a secondary region ensures continuity if the entire region fails.
KKey Concepts to Remember
Read the scenario before looking for a memorised answer.
Find the constraint that changes the correct option.
Eliminate answers that are true in general but not in this case.
TExam Day Tips
→Watch for words such as best, first, most likely and least administrative effort.
→Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
An e-commerce site experiences heavy traffic on Black Friday and near-zero traffic during off-peak weeks. Rather than provisioning permanent large VMs, the team uses auto-scaling groups that add capacity automatically under load and reduce it overnight. Questions like this test whether you understand elasticity, availability zones, and cloud compute scaling patterns.
What to study next
Got this wrong? Here's your next step.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Plan and manage an Azure AI solution — This question tests Plan and manage an Azure AI solution — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Configure autoscaling for the AI service. — Option A is correct because 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.
What should I do if I get this AI-102 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
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: Option A is correct because 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.
Last reviewed: Jun 24, 2026
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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.
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