easyMultiple Select
PDE Practice Question: Designing a data processing system that must…
A company is designing a data processing system that must handle both batch and streaming workloads with unified pipeline code. Which two Google Cloud services are most suitable for implementing a unified batch and streaming pipeline? (Choose TWO.)
⚠ Common exam trap
Google Cloud often tests the misconception that Cloud Data Fusion or Cloud Dataproc can achieve unified batch and streaming with a single codebase, but only Apache Beam SDK combined with Cloud Dataflow provides the native programming model and execution engine for this requirement.
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
✓
Apache Beam SDK
Apache Beam SDK (C) provides a unified programming model that allows developers to write a single pipeline that can execute in both batch and streaming modes without code changes. It abstracts the underlying execution engine, making it the correct choice for unified pipeline code.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Cloud Data Fusion
Why it's wrong here
Data Fusion is a visual integration tool for batch, not streaming.
- ✗
BigQuery
Why it's wrong here
BigQuery is a data warehouse, not a pipeline framework.
- ✓
Apache Beam SDK
Why this is correct
Beam is the unified model; Dataflow is one runner.
- ✓
Cloud Dataflow
Why this is correct
Dataflow runs both batch and streaming pipelines using Apache Beam.
- ✗
Cloud Dataproc
Why it's wrong here
Dataproc can handle streaming but is not a native unified batch-streaming platform.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This PDE practice question is part of Courseiva's free Google Cloud 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 PDE exam.