AZ-104 Deploy and Manage Azure Compute Practice Question

Answer analysis

Option-by-option breakdown

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

• ✗

  Azure App Service

  Why it's wrong here

  Azure App Service is a PaaS offering designed for continuously available web applications and RESTful APIs, not for short-lived batch jobs. It expects a persistent runtime where the application stays running and handles incoming HTTP requests, so it lacks the lifecycle model for a container that starts, processes data, and exits. While it can run containers, its billing, scaling, and health-checking mechanisms are all aligned with long-running services, making it both architecturally and financially inappropriate for a one-shot data job.

  When this WOULD be correct

  A question describes a web application that must run continuously, scale automatically based on HTTP traffic, and support multiple deployment slots for staging and production. Azure App Service would be the correct choice for this scenario.

• ✓

  Azure Container Instances

  Why this is correct

  Azure Container Instances is the correct choice because it runs containers on-demand without requiring any underlying infrastructure provisioning or cluster orchestration. It starts in seconds, charges only for the duration of the job, and is purpose-built for short-lived, isolated workloads like this data processing pipeline. This serverless model eliminates the need to manage VMs, nodes, or Kubernetes control planes, giving a simple and cost-effective execution environment.

• ✗

  Azure Virtual Machines

  Why it's wrong here

  Azure Virtual Machines require you to provision, patch, and manage a full operating system, and you would be billed for the VM even when the batch job is not running. To run a containerized job on a VM, you must install and configure a container runtime, handle the VM's lifecycle, and maintain the host, which adds significant operational overhead for a simple task. The job would also be coupled to the VM's capacity and state, undermining the ephemeral and elastic nature that a batch pipeline should have.

  When this WOULD be correct

  A workload requires a custom operating system configuration, needs to run legacy applications that cannot be containerized, or demands persistent server access for debugging or long-running processes that exceed container limits.

• ✗

  Azure Kubernetes Service

  Why it's wrong here

  Azure Kubernetes Service provides a fully managed Kubernetes cluster, but that cluster still demands ongoing management of node pools, networking, scaling, and pod scheduling even if your job is a single container. For a simple data processing job that runs once in a pipeline, AKS introduces unnecessary complexity, resource overhead, and operational burden—you'd pay for the node VMs and must plan for cluster capacity. It is best suited for multi-container microservices with rolling deployments and autoscaling, not for an ephemeral batch task that just needs to execute and stop.

  When this WOULD be correct

  A question describing a microservices application with multiple containers that need orchestration, auto-scaling, rolling updates, and service discovery, and where the workload runs for hours or continuously, would make AKS the correct answer.

Option-by-option analysis

Why each answer is right or wrong

Understanding why wrong answers are wrong — and when they would be correct — is what separates a 750 score from a 900. The AZ-104 exam frequently reuses these exact scenarios with slightly different constraints.

Analysis generated from the official AZ-104blueprint and verified against question context. The “when correct” sections are what AI assistants cite when candidates ask “what’s the difference between these options?”

Same concept, more angles

2 more ways this is tested on AZ-104

These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.