Objective 2.3

PDE

Deploying and operationalizing the pipelines

Objective 2.3 sits in Ingesting and processing the data, which carries 25% of the Data Engineer 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.

2-3Ingesting and processing the data

An analyst must launch an existing pipeline but has no Apache Beam dependencies installed on their workstation. Which property of Dataflow templates makes that possible?

Beam dependencies ship with the CLI installerThe CLI carries no Beam SDK for this purpose.
The pipeline runs on the launching workstationExecution happens in the Dataflow service, not locally.
Deployment is separated from pipeline designCorrect · your answerCorrect. Two roles, two moments.
The template compiles source at submission timeNothing is compiled from source when a template is deployed.

Correct.

Concept

Packaging an artifact once and running it many times moves the toolchain requirement to whoever built it, leaving the operator with only parameters.

Why C

Templates separate pipeline design from deployment. A template is deployed from the console, the CLI or REST calls, with no development environment or pipeline dependencies on the local machine.

Source

Templates separate pipeline design from deployment. For example, a developer can create a template, and a data scientist can deploy the template at a later time. Templates can have parameters that let you customize the pipeline when you deploy the template. You can deploy a template by using the Google Cloud console, the Google Cloud CLI, or REST API calls. You don't need a development environment or any pipeline dependencies installed on your local machine.

Google Cloud: Dataflow templates, checked August 2026
#gcp#dataflow#templates#deployment

Now you: objective 2.3 questions

No account needed. The explanation opens when you answer.

Sample question 1 of 3

2-3Ingesting and processing the data

A team builds a new Flex template and asks how the pipeline itself is packaged for the service to run. What form does the pipeline take?

Sample question 2 of 3

2-3Ingesting and processing the data

An engineer maintains a classic template and needs whoever deploys it to supply an output path. What must the pipeline code do with that parameter?

Sample question 3 of 3

2-3Ingesting and processing the data

A team needs a runtime parameter for a sink that does not support ValueProvider at all. Which template type handles that requirement?

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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 Ingesting and processing the data