- A
Watermarks are used to measure the progress of event time.
Watermarks track event time progress.
- B
Triggers can only emit results at the end of a window.
Why wrong: Triggers can emit early or late results.
- C
Dataflow guarantees exactly-once processing for streaming pipelines.
Why wrong: Exactly-once is supported with correct configuration.
- D
Cloud Pub/Sub is the recommended source for streaming pipelines.
Pub/Sub is designed for streaming.
- E
Fixed windows are always based on processing time.
Why wrong: Can be based on event time.
PDE Designing data processing systems Practice Question
This PDE practice question tests your understanding of designing data processing 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.
Which TWO statements are correct about designing a data pipeline using Cloud Dataflow for processing unbounded data?
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
Watermarks are used to measure the progress of event time.
Watermarks in Cloud Dataflow measure the progress of event time, indicating when all data up to a certain timestamp is expected to have arrived. This allows the pipeline to handle late-arriving data and determine when to close windows for unbounded data streams.
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.
- ✓
Watermarks are used to measure the progress of event time.
Why this is correct
Watermarks track event time progress.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Triggers can only emit results at the end of a window.
Why it's wrong here
Triggers can emit early or late results.
- ✗
Dataflow guarantees exactly-once processing for streaming pipelines.
Why it's wrong here
Exactly-once is supported with correct configuration.
- ✓
Cloud Pub/Sub is the recommended source for streaming pipelines.
Why this is correct
Pub/Sub is designed for streaming.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Fixed windows are always based on processing time.
Why it's wrong here
Can be based on event time.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Google Cloud often tests the misconception that triggers only fire at window boundaries, when in fact Dataflow supports early, on-time, and late firings for flexible result emission.
Detailed technical explanation
How to think about this question
Under the hood, Dataflow uses the Watermark algorithm (based on the MillWheel paper) to track event time progress, with a heuristic that estimates when all data for a given timestamp has been seen. In real-world scenarios, late data can arrive after the watermark advances, and triggers allow handling it via allowed lateness and side outputs, ensuring completeness without blocking the pipeline.
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 PDE question test?
Designing data processing systems — This question tests Designing data processing systems — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Watermarks are used to measure the progress of event time. — Watermarks in Cloud Dataflow measure the progress of event time, indicating when all data up to a certain timestamp is expected to have arrived. This allows the pipeline to handle late-arriving data and determine when to close windows for unbounded data streams.
What should I do if I get this PDE 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: Jun 30, 2026
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.
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