The correct action is to specify a different VM type or region that supports Standard_NC6s_v3. This resolves the failure because Azure Machine Learning online endpoints require the selected VM SKU to be physically available in the target deployment region; when the Standard_NC6s_v3 instance type is not provisioned in East US, the service cannot allocate the underlying GPU resources for the endpoint. On the Microsoft Azure AI Engineer Associate AI-102 exam, this scenario tests your understanding that VM SKU availability varies by region and that you must either match the VM to a supported region or choose an alternative SKU that is available locally—a common trap is attempting to request a quota increase, which does not create regional availability where none exists. Remember the mnemonic “SKU or Locale” to recall that when an azure ml online endpoint VM SKU is not available, you fix it by changing the SKU or changing the locale.
AI-102 Implement generative AI solutions Practice Question
This AI-102 practice question tests your understanding of implement generative ai solutions. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. 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.
Network Topology
You run the Azure CLI command shown in the exhibit to create an online endpoint for a generative AI model. The deployment fails because the selected VM instance type is not available in the East US region. Which action should you take to resolve the issue?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Specify a different VM type or region that supports Standard_NC6s_v3
The deployment failed because the Standard_NC6s_v3 VM instance type is not available in the East US region. The correct action is to either choose a different VM type that is available in East US or deploy to a different region that supports Standard_NC6s_v3. This directly addresses the root cause of the failure, as Azure Machine Learning online endpoints require the selected VM SKU to be available in the target region.
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.
✗
Increase the instance count to 2
Why it's wrong here
Instance count does not affect availability of VM type.
✓
Specify a different VM type or region that supports Standard_NC6s_v3
Why this is correct
Choosing an available VM type or region resolves the issue.
Related concept
Read the scenario before looking for a memorised answer.
✗
Use a batch endpoint instead of online endpoint
Why it's wrong here
Batch endpoints are for offline processing, not real-time inference.
✗
Change --compute-type to CPU
Why it's wrong here
CPU is not suitable for large generative models.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates may think increasing instance count or switching to a batch endpoint will bypass the regional SKU limitation, but neither changes the underlying VM type or region, so the deployment will still fail.
Detailed technical explanation
How to think about this question
Azure Machine Learning online endpoints provision compute resources from the underlying Azure VM SKU catalog. Each region maintains its own inventory of available VM sizes; if a SKU like Standard_NC6s_v3 is not listed in a region, the deployment fails with a resource SKU not available error. The Azure CLI command 'az ml online-endpoint create' or 'az ml online-deployment create' uses the --instance-type parameter to specify the VM SKU, and the service validates availability against the target region's capacity. In practice, you can use 'az vm list-skus --location eastus' to check which GPU SKUs are available before deploying.
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.
Implement generative AI solutions — This question tests Implement generative AI solutions — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Specify a different VM type or region that supports Standard_NC6s_v3 — The deployment failed because the Standard_NC6s_v3 VM instance type is not available in the East US region. The correct action is to either choose a different VM type that is available in East US or deploy to a different region that supports Standard_NC6s_v3. This directly addresses the root cause of the failure, as Azure Machine Learning online endpoints require the selected VM SKU to be available in the target region.
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.
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Question Discussion
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