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Cloud Digital Leader Google Cloud Products and Services Practice Question

A company is building a real-time analytics pipeline on Google Cloud. They need to ingest streaming data from IoT devices, process it with low latency, and then store the results for real-time querying. Which TWO services should they use? (Choose TWO.)

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

Pub/Sub ingests streaming data reliably, and Dataflow processes it with low latency. Other options are not suitable for real-time streaming analytics.

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

    Why this is correct

    Pub/Sub is a scalable messaging service for ingesting streaming data from IoT devices.

  • Cloud Storage

    Why it's wrong here

    Cloud Storage is object storage, not a real-time processing engine.

  • Cloud Dataflow

    Why this is correct

    Dataflow (Apache Beam) processes streaming data in real-time with exactly-once semantics.

  • Cloud Functions

    Why it's wrong here

    Cloud Functions is for event-driven functions, not for long-running streaming pipelines.

  • BigQuery

    Why it's wrong here

    BigQuery is for analytics queries but not for low-latency streaming processing.

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Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

This GCDL 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 GCDL exam.