AI-102 Practice Question: Implement natural language processing solutions
Network Topology
Refer to the exhibit. You deployed a custom model for Language service. Which command should you run to check if the deployment is ready to accept inference requests?
⚠ Common exam trap
Azure often tests the distinction between commands that manage resources (create, delete, list) versus those that inspect state (show), and the trap here is that candidates might confuse 'list' (which shows all deployments but not readiness) with 'show' (which gives the specific deployment's status).
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
✓
az cognitiveservices account deployment show --resource-group myRG --name myLangService --deployment-name myDeployment
The `az cognitiveservices account deployment show` command retrieves the current state of a specific deployment, including its provisioning status (e.g., 'Succeeded'). Only when the status is 'Succeeded' can the deployment accept inference requests. This is the correct command to verify readiness before sending any prediction calls.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
az cognitiveservices account deployment list --resource-group myRG --name myLangService
Why it's wrong here
Lists all deployments but doesn't show detailed state of one.
- ✗
az cognitiveservices account deployment delete --resource-group myRG --name myLangService --deployment-name myDeployment
Why it's wrong here
This deletes the deployment.
- ✓
az cognitiveservices account deployment show --resource-group myRG --name myLangService --deployment-name myDeployment
Why this is correct
This shows the current provisioning state.
- ✗
az cognitiveservices account deployment create --resource-group myRG --name myLangService --deployment-name myDeployment
Why it's wrong here
This would attempt to create again.
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Written by Johnson Ajibi, MSc IT Security
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