Question 753 of 980

PCD Practice Question: Manage a Solution that Can Span Multiple Database Systems

This PCD practice question tests your understanding of manage a solution that can span multiple database systems. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.

A data engineer needs to run complex transformations on streaming data from Pub/Sub and then write the results to both BigQuery and Cloud Bigtable. Which Google Cloud service is best suited for this task?

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

Dataflow

Dataflow is the correct choice because it is a fully managed, unified stream and batch processing service built on Apache Beam. It can directly read from Pub/Sub, apply complex transformations (e.g., windowing, aggregations, joins), and write the results to both BigQuery and Cloud Bigtable using native Beam I/O connectors, all within a single pipeline.

Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.

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 for batch ETL, not real-time streaming with complex transformations.

  • Dataflow

    Why this is correct

    Dataflow excels at stream processing with complex transforms and multi-sink writes.

    Related concept

    Read the scenario before looking for a memorised answer.

  • Datastream

    Why it's wrong here

    Datastream is for CDC replication, not for arbitrary transformations.

  • Cloud Functions

    Why it's wrong here

    Cloud Functions can process single events but is not designed for complex streaming transformations with multiple sinks.

Common exam traps

Common exam trap: answer the scenario, not the keyword

The trap here is that candidates may choose Cloud Data Fusion (A) because it is a visual ETL tool, but they overlook that it lacks native streaming support from Pub/Sub and cannot write to Cloud Bigtable, making Dataflow the only service that can handle the full streaming pipeline with complex transformations and dual sinks.

Detailed technical explanation

How to think about this question

Under the hood, Dataflow uses the Apache Beam model with a unified batch+streaming runner that supports exactly-once processing guarantees via checkpointing and watermark tracking. For BigQuery, it uses the streaming insert API (with optional deduplication) and for Cloud Bigtable, it leverages the Cloud Bigtable HBase client with configurable buffering and batch sizes to optimize write throughput. A real-world scenario is processing real-time clickstream data from Pub/Sub, enriching it with session state, and writing aggregated metrics to BigQuery for analytics while storing raw event details in Bigtable for low-latency lookups.

KKey Concepts to Remember

  • Read the scenario before looking for a memorised answer.
  • Find the constraint that changes the correct option.
  • Eliminate answers that are true in general but not in this case.

TExam Day Tips

  • Watch for words such as best, first, most likely and least administrative effort.
  • Review why wrong options are wrong, not only why the correct option is correct.

Key takeaway

Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.

Real-world example

How this comes up in practice

A cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.

What to study next

Got this wrong? Here's your next step.

Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.

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FAQ

Questions learners often ask

What does this PCD question test?

Manage a Solution that Can Span Multiple Database Systems — This question tests Manage a Solution that Can Span Multiple Database Systems — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: Dataflow — Dataflow is the correct choice because it is a fully managed, unified stream and batch processing service built on Apache Beam. It can directly read from Pub/Sub, apply complex transformations (e.g., windowing, aggregations, joins), and write the results to both BigQuery and Cloud Bigtable using native Beam I/O connectors, all within a single pipeline.

What should I do if I get this PCD question wrong?

Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.

What is the key concept behind this question?

Read the scenario before looking for a memorised answer.

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Last reviewed: Jul 4, 2026

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This PCD 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 PCD exam.