easyMultiple ChoiceObjective-mapped
PDE Practice Question: Your company wants to analyze real-time user…
Your company wants to analyze real-time user clickstream data from a website. The data arrives as JSON messages via an HTTP endpoint. The pipeline should be able to handle spikes in traffic, provide low-latency insights, and store the raw data in a data lake for historical analysis. Which Google Cloud service should you use to ingest and process the streaming data?
⚠ Common exam trap
Google Cloud often tests the misconception that Cloud Functions can handle streaming ingestion due to its HTTP trigger, but its 9-minute timeout and lack of native streaming support make it unsuitable for high-throughput, low-latency pipelines.
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
✓
Cloud Pub/Sub combined with Dataflow
Cloud Pub/Sub is the correct ingestion service because it provides a highly scalable, fully managed message queue that can handle traffic spikes by decoupling producers from consumers. Dataflow (Apache Beam) then processes the streaming data with low latency, supports exactly-once semantics, and can write raw data to a data lake like Cloud Storage for historical analysis. This combination meets all requirements: spike handling, low-latency insights, and raw data storage.
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 Pub/Sub combined with Dataflow
Why this is correct
Cloud Pub/Sub provides reliable, scalable ingestion; Dataflow enables stream processing with exactly-once semantics and can write to Cloud Storage.
- ✗
Cloud Dataproc
Why it's wrong here
Cloud Dataproc is primarily for batch processing using Hadoop/Spark, not optimal for real-time streaming.
- ✗
Cloud Functions
Why it's wrong here
Cloud Functions can process HTTP events but lacks the streaming capabilities and scaling for high-throughput data pipelines.
- ✗
Cloud IoT Core
Why it's wrong here
Cloud IoT Core is designed for managing IoT devices, not general HTTP endpoints.
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JA
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.