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Objective 2.5

PCA

Configuring prebuilt solutions or APIs with Agent Platform

Objective 2.5 sits in Managing and provisioning a cloud solution infrastructure, which carries 17.5% of the Cloud Architect exam. The questions below are original, written from the official objective title above, and each explanation cites the Google Cloud page it rests on.

Objective title verbatim from the official objectives. Google Cloud exam page ↗

A worked example

Shown solved, with the whole explanation open: this is what every question here carries.

2-5Managing and provisioning a cloud solution infrastructure

A team needs a model result returned inside a live user request with low latency. What has to exist before that call can be made?

A batch job pointed at the modelAsynchronous work returns nothing in time for a live request.
An AutoML dataset for the modelA dataset feeds training rather than serving.
A local endpoint on the workstationA workstation deployment is for development and testing only.
The model deployed to an endpointCorrect · your answerCorrect. Compute is attached in advance.

Correct.

Concept

Low latency comes from compute that is already warm and attached to the model, so a synchronous serving path has to be provisioned before the first request rather than at request time.

Why D

Online inferences are synchronous requests to a model deployed to an endpoint, and deploying associates compute resources with the model so it can serve with low latency.

Source

Online inferences are synchronous requests made to a model that is deployed to an Endpoint . Therefore, before sending a request, you must first deploy the Model resource to an endpoint. This associates compute resources with the model so that the model can serve online inferences with low latency. Use online inferences when you are making requests in response to application input or in situations that require timely inference.

Overview of getting inferences, Agent Platform documentation, checked August 2026
#gcp#ml-inference#endpoints#latency

Now you: objective 2.5 questions

No account needed. The explanation opens when you answer.

Sample question 1 of 2

2-5Managing and provisioning a cloud solution infrastructure

A team scores several million accumulated records overnight and needs no immediate response. Which inference method fits, and what does the request target?

Sample question 2 of 2

2-5Managing and provisioning a cloud solution infrastructure

An engineer compares what follows AutoML training with what follows custom training before either model can serve. Which step do custom trained models need that AutoML models do not?

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Read the sources

These are the official pages the questions above cite. Reading them is studying the objective from the primary source, which is what the explanations point you toward anyway.

More objectives in Managing and provisioning a cloud solution infrastructure