Drag steps to the numbered slots on the right, or tap a step then tap a slot.
AI-900 Practice Question: Describe Artificial Intelligence workloads and considerations
Drag and drop the steps to create a cognitive service resource in Azure into the correct order.
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
Step 1: Sign in to Azure portal, Step 2: Click 'Create a resource' and search for 'Cognitive Services', Step 3: Select the desired service and configure settings, Step 4: Review and create
Creating a cognitive service involves navigating the portal, selecting the service type, configuring settings, and deploying.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Step 1: Sign in to Azure portal, Step 2: Click 'Create a resource' and search for 'Cognitive Services', Step 3: Select the desired service and configure settings, Step 4: Review and create
Why this is correct
To provision a Cognitive Services resource, you must first establish an authenticated session in the Azure portal, then initiate the creation workflow via 'Create a resource' and search for Cognitive Services. At that point you select the exact service (e.g., multi-service or a single API), configure the required subscription, resource group, region, and pricing tier, and finally the 'Review + create' step validates those settings before deployment. This order aligns with Azure's Resource Manager deployment pipeline, ensuring that configuration inputs exist before final validation.
- ✗
Step 1: Sign in to Azure portal, Step 2: Select the desired service and configure settings, Step 3: Click 'Create a resource' and search for 'Cognitive Services', Step 4: Review and create
Why it's wrong here
This sequence fails because it attempts to select and configure a service that has not yet been instantiated as a resource. In the Azure portal, you cannot navigate to service-specific configuration fields until you have entered the 'Create a resource' flow and chosen the Cognitive Services category or a specific service type. The creation blade is what presents the configuration form; selecting and configuring before initiating that blade is impossible, so the logical prerequisite is the 'Create a resource' step.
- ✗
Step 1: Click 'Create a resource' and search for 'Cognitive Services', Step 2: Sign in to Azure portal, Step 3: Select the desired service and configure settings, Step 4: Review and create
Why it's wrong here
This ordering is invalid because every action in the Azure portal requires an authenticated identity and active session. Clicking 'Create a resource' without being signed in will simply redirect you to a sign-in page or show an authorization error, as Azure enforces role-based access control to even view the resource creation interfaces. Therefore, 'Sign in to the Azure portal' must be the first step, preceding all portal-based actions, which this option places second.
- ✗
Step 1: Sign in to Azure portal, Step 2: Click 'Create a resource' and search for 'Cognitive Services', Step 3: Review and create, Step 4: Select the desired service and configure settings
Why it's wrong here
The critical error here is placing 'Review and create' before 'Select the desired service and configure settings.' The review step in the Azure portal's creation flow is a summary and validation of the settings you have already specified; it checks for missing fields, duplicate names, and quota limits, and it displays estimated costs. If you attempt to review before configuring anything, the blade will be empty or invalid, so configuration must logically occur before any review or final creation.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This AI-900 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-900 exam.