- A
Horizontal autoscaling
Why wrong: Already enabled; the issue is vertical scaling for memory-intensive tasks.
- B
Dataflow Prime
Dataflow Prime offers vertical scaling and right-fitting, which helps with variable-sized messages and OOM errors.
- C
FlexRS
Why wrong: FlexRS is for batch pipelines, not streaming.
- D
Streaming Engine
Why wrong: Streaming Engine offloads state to backend, but does not address OOM from variable message sizes.
Question 885 of 1,000
PDE Ingesting and Processing the Data Practice Question
This PDE practice question tests your understanding of ingesting and processing the data. 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 Dataflow streaming pipeline is experiencing high latency and frequent OOM errors when processing variable-sized JSON messages from Pub/Sub. The team suspects that the autoscaling is not effective. Which feature should they enable to improve resource utilization?
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 Prime
Dataflow Prime is the correct choice because it provides intelligent resource management that automatically adjusts worker resources (CPU, memory) based on the pipeline's processing demands, which is critical for variable-sized JSON messages. It addresses both high latency and OOM errors by optimizing resource utilization beyond simple autoscaling, including predictive autoscaling and flexible resource scheduling to handle spikes in message size without manual tuning.
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.
- ✗
Horizontal autoscaling
Why it's wrong here
Already enabled; the issue is vertical scaling for memory-intensive tasks.
- ✓
Dataflow Prime
Why this is correct
Dataflow Prime offers vertical scaling and right-fitting, which helps with variable-sized messages and OOM errors.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
FlexRS
Why it's wrong here
FlexRS is for batch pipelines, not streaming.
- ✗
Streaming Engine
Why it's wrong here
Streaming Engine offloads state to backend, but does not address OOM from variable message sizes.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Cisco often tests the misconception that Streaming Engine solves all streaming performance issues, but it specifically addresses shuffle and state persistence, not worker memory management for variable payloads.
Detailed technical explanation
How to think about this question
Dataflow Prime uses a combination of vertical autoscaling (adjusting worker machine type) and horizontal autoscaling, along with a resource advisor that monitors CPU, memory, and throughput metrics in real time. For variable-sized JSON messages, it can dynamically increase memory per worker during bursts and scale down when load decreases, preventing OOM errors without manual intervention. In practice, this is especially useful for pipelines processing IoT sensor data or log streams where message sizes can vary by orders of magnitude.
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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Ingesting and Processing the Data — study guide chapter
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FAQ
Questions learners often ask
What does this PDE question test?
Ingesting and Processing the Data — This question tests Ingesting and Processing the Data — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Dataflow Prime — Dataflow Prime is the correct choice because it provides intelligent resource management that automatically adjusts worker resources (CPU, memory) based on the pipeline's processing demands, which is critical for variable-sized JSON messages. It addresses both high latency and OOM errors by optimizing resource utilization beyond simple autoscaling, including predictive autoscaling and flexible resource scheduling to handle spikes in message size without manual tuning.
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.
About these practice questions
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Last reviewed: Jul 4, 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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