Implement an agentic solution →easyMultiple Choice

AI-102 Implement an agentic solution Practice Question

Exhibit

Refer to the exhibit.
$agents = Get-AzAIAgent -ResourceGroupName 'rg-agent' -SubscriptionId 'sub-123'
foreach ($agent in $agents) {
    if ($agent.Properties.Tools.Count -eq 0) {
        Write-Output "Agent $($agent.Name) has no tools configured."
    }
}

You run the PowerShell script shown to audit your Azure AI Agent Service agents. The script outputs that several agents have no tools configured. What is the impact on those agents?

⚠ Common exam trap

Many candidates assume agents must have tools to be functional or deployed, but Azure AI Agent Service allows tool-less agents that operate as pure language models, and the exam tests understanding that tools are optional for basic Q&A but required for action-oriented tasks.

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

✓

The agents can only respond to queries using the model's built-in knowledge, without ability to perform actions

Azure AI Agent Service agents without tools configured rely solely on the model's built-in knowledge (e.g., GPT-4o's training data) to generate responses. They cannot execute external actions like calling APIs, querying databases, or running code, which are enabled only when tools (e.g., code interpreter, function calling, or Azure Functions) are explicitly attached. This is by design: tools extend the agent's capabilities beyond the model's static knowledge.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

✗
The agents cannot be deployed until tools are added
Why it's wrong here
Agents lacking tools deploy and operate normally, answering from the underlying model; tool absence only removes function-calling abilities. Deployment is not gated on tool configuration. The option tempts because tools feel mandatory for useful agents, yet they are optional additions rather than a deployment prerequisite in Azure AI Agent Service.
✓
The agents can only respond to queries using the model's built-in knowledge, without ability to perform actions
Why this is correct
Without tools configured, an agent has no function-calling or action capabilities, so it is limited to generating responses from the underlying model's built-in knowledge. It cannot retrieve external data or perform actions on the user's behalf.
✗
The agents cannot start conversations with users
Why it's wrong here
Agents without tools still start conversations and respond using the model; tools only extend them with actions like retrieval or function calls. Conversation initiation depends on the agent's model deployment and instructions, not tool configuration. Missing tools would instead limit the agent's ability to perform tasks.
✗
The agents will use default tools provided by Azure
Why it's wrong here
Agents without tools still run and respond using the model's own knowledge; they simply cannot call external functions or APIs. Default Azure-provided tools do not exist, so nothing is auto-attached. This option is tempting because platform services often supply baseline capabilities, but Azure AI Agent Service requires each tool to be explicitly configured.

Quick reference

Cloud Service Model Comparison

Model	You Manage	Provider Manages	Examples
IaaS	OS, runtime, apps, data	Hardware, hypervisor, networking	EC2, Azure VMs, GCP Compute Engine
PaaS	Apps and data	OS, runtime, middleware, hardware	Elastic Beanstalk, Azure App Service
SaaS	Data and settings only	Everything else	Microsoft 365, Salesforce, Workday
FaaS / Serverless	Function code only	Infra, scaling, runtime	Lambda, Azure Functions, Cloud Run
CaaS	Containers and apps	Kubernetes, OS, hardware	EKS, AKS, GKE

Go deeper

AI-102 Implement an agentic solution Practice Question

Exhibit

Why each option matters

Option-by-option breakdown

Cloud Service Model Comparison

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