- A
Using batch mode instead of streaming mode
Why wrong: Batch mode is not applicable to streaming pipelines.
- B
Too many workers
Why wrong: Too many workers would not cause high latency; it might cause unnecessary cost.
- C
Too few workers
Insufficient workers cause backpressure and latency.
- D
Incorrect watermark setting
Why wrong: Watermark affects late data handling, not overall throughput.
Question 947 of 1,000
easyMultiple ChoiceObjective-mapped
PDE Practice Question: A company uses Cloud Dataflow to process…
This PDE practice question tests your understanding of a company uses cloud dataflow to process…. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. 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 company uses Cloud Dataflow to process streaming data. They notice that the pipeline's throughput is lower than expected and the system is experiencing high latency. What is the most likely cause?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue:
"most likely"Why it matters: Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.
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
✓
Too few workers
In Cloud Dataflow, streaming pipelines require sufficient worker resources to handle the incoming data rate and maintain low latency. When too few workers are provisioned, the pipeline cannot process data quickly enough, leading to increased backlog and higher latency. This is the most likely cause of reduced throughput and high latency in a streaming 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.
- ✗
Using batch mode instead of streaming mode
Why it's wrong here
Batch mode is not applicable to streaming pipelines.
- ✗
Too many workers
Why it's wrong here
Too many workers would not cause high latency; it might cause unnecessary cost.
- ✓
Too few workers
Why this is correct
Insufficient workers cause backpressure and latency.
Clue confirmation
The clue word "most likely" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Incorrect watermark setting
Why it's wrong here
Watermark affects late data handling, not overall throughput.
Common exam traps
Common exam trap: answer the scenario, not the keyword
A common misconception is that adding more workers always improves performance, but the key insight here is that too few workers directly cause high latency and low throughput in a streaming pipeline. The trap is to overlook the importance of sufficient worker scaling.
Detailed technical explanation
How to think about this question
Cloud Dataflow uses autoscaling to adjust the number of workers based on the backlog of unprocessed data. However, if the maximum number of workers is set too low or the pipeline is under heavy load, the system may not scale enough, causing data to accumulate in the input buffer (e.g., Pub/Sub subscription backlog). This backlog increases processing latency as workers struggle to catch up, and throughput is limited by the fixed worker count. In real-world scenarios, this often occurs when the pipeline's streaming engine is not enabled or when the worker machine type is underpowered for the data volume.
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?
Read the scenario before looking for a memorised answer.
What is the correct answer to this question?
The correct answer is: Too few workers — In Cloud Dataflow, streaming pipelines require sufficient worker resources to handle the incoming data rate and maintain low latency. When too few workers are provisioned, the pipeline cannot process data quickly enough, leading to increased backlog and higher latency. This is the most likely cause of reduced throughput and high latency in a streaming pipeline.
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.
Are there clue words in this question I should notice?
Yes — watch for: "most likely". Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.
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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