How to Check if Your Language Service Deployment is Ready Using CLI
This AI-102 practice question tests your understanding of implement natural language processing solutions. Examine the command output carefully: the correct answer depends on what the output actually shows, not on general recall alone. 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
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?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue: "which command"
Why it matters: Tests specific CLI syntax. Recall the exact command and its required context — near-synonyms and partial matches are common distractors.
Network Topology
A
az cognitiveservices account deployment list --resource-group myRG --name myLangService
Why wrong: Lists all deployments but doesn't show detailed state of one.
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.
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.
✗
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.
Common exam trap: answer the scenario, not the keyword
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).
Trap categories for this question
Command / output trap
Lists all deployments but doesn't show detailed state of one.
Detailed technical explanation
How to think about this question
Under the hood, the `show` command queries the Azure Resource Manager for the deployment resource, which includes a `properties.provisioningState` field. This field transitions through states like 'Creating', 'Succeeded', or 'Failed'. Only when the state is 'Succeeded' can the model endpoint accept inference requests. In real-world scenarios, after a custom model training completes, you must wait for the deployment to reach 'Succeeded' before using the endpoint URL; otherwise, calls will return a 404 or 503 error.
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
A cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
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 natural language processing solutions — This question tests Implement natural language processing solutions — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: 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.
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.
Are there clue words in this question I should notice?
Yes — watch for: "which command". Tests specific CLI syntax. Recall the exact command and its required context — near-synonyms and partial matches are common distractors.
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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