- A
Use side inputs to enrich the data with reference data from BigQuery
Side inputs allow joining with slowly changing reference data.
- B
Set the `withAllowedLateness` to 0 for windowing to minimize latency
Why wrong: Setting allowed lateness to 0 may cause late data to be dropped; it does not help with schema evolution.
- C
Set up a dead letter queue (DLQ) for messages that fail to parse or validate
DLQ captures invalid messages for later analysis without losing data.
- D
Enable autoscaling to handle spikes in message volume
Autoscaling adjusts workers based on backlog, preventing data loss from overload.
- E
Enable Streaming Engine to reduce checkpoint size
Why wrong: Streaming Engine is about state management, not directly about schema evolution or data loss minimization.
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 data engineer needs to build a Dataflow pipeline that reads JSON messages from Pub/Sub, transforms them (including filtering, grouping, and enrichment), and writes the results to BigQuery. The pipeline must handle schema evolution in the input messages and minimize data loss. Which THREE settings or features should the engineer use? (Choose THREE.)
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue:
"minimum / minimize"Why it matters: Asks for the least resource use — fewest addresses, smallest subnet, lowest overhead. Eliminate over-provisioned options even if they would technically work.
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
Use side inputs to enrich the data with reference data from BigQuery
To handle schema evolution, using a dead letter queue (option A) is essential to capture messages that do not conform to the current schema. Using side inputs (option B) is a good practice for enrichment with reference data. Enabling autoscaling (option C) ensures the pipeline can handle varying throughput. Option D is not necessary for schema evolution; setting a limit on number of shards is for grouping. Option E is incorrect: Streaming Engine is a separate feature that manages state, but it is not directly related to schema evolution or data loss minimization.
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.
- ✓
Use side inputs to enrich the data with reference data from BigQuery
Why this is correct
Side inputs allow joining with slowly changing reference data.
Clue confirmation
The clue word "minimum / minimize" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Set the `withAllowedLateness` to 0 for windowing to minimize latency
Why it's wrong here
Setting allowed lateness to 0 may cause late data to be dropped; it does not help with schema evolution.
- ✓
Set up a dead letter queue (DLQ) for messages that fail to parse or validate
Why this is correct
DLQ captures invalid messages for later analysis without losing data.
Clue confirmation
The clue word "minimum / minimize" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
- ✓
Enable autoscaling to handle spikes in message volume
Why this is correct
Autoscaling adjusts workers based on backlog, preventing data loss from overload.
Clue confirmation
The clue word "minimum / minimize" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Enable Streaming Engine to reduce checkpoint size
Why it's wrong here
Streaming Engine is about state management, not directly about schema evolution or data loss minimization.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Detailed technical explanation
How to think about this question
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
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.
- Use explanations to understand the rule behind the answer.
TExam Day Tips
- Underline the problem statement mentally.
- 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 PDE exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
- →
Ingesting and Processing the Data — study guide chapter
Learn the concepts, then practise the questions
- →
Ingesting and Processing the Data practice questions
Targeted practice on this topic area only
- →
All PDE questions
1,000 questions across all exam domains
- →
Google Professional Data Engineer study guide
Full concept coverage aligned to exam objectives
- →
PDE practice test guide
How to use practice tests most effectively before exam day
Related practice questions
Related PDE practice-question pages
Use these pages to review the topic behind this question. This is how one missed question becomes focused revision.
Designing Data Processing Systems practice questions
Practise PDE questions linked to Designing Data Processing Systems.
Ingesting and Processing the Data practice questions
Practise PDE questions linked to Ingesting and Processing the Data.
Storing the Data practice questions
Practise PDE questions linked to Storing the Data.
Preparing and Using Data for Analysis practice questions
Practise PDE questions linked to Preparing and Using Data for Analysis.
Maintaining and Automating Data Workloads practice questions
Practise PDE questions linked to Maintaining and Automating Data Workloads.
Building and operationalizing data processing systems practice questions
Practise PDE questions linked to Building and operationalizing data processing systems.
Operationalizing machine learning models practice questions
Practise PDE questions linked to Operationalizing machine learning models.
Ensuring solution quality practice questions
Practise PDE questions linked to Ensuring solution quality.
PDE fundamentals practice questions
Practise PDE questions linked to PDE fundamentals.
PDE scenario practice questions
Practise PDE questions linked to PDE scenario.
PDE troubleshooting practice questions
Practise PDE questions linked to PDE troubleshooting.
Practice this exam
Start a free PDE practice session
Short sessions build daily habit. Longer sessions build exam-day stamina. Try a timed session to simulate real conditions.
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: Use side inputs to enrich the data with reference data from BigQuery — To handle schema evolution, using a dead letter queue (option A) is essential to capture messages that do not conform to the current schema. Using side inputs (option B) is a good practice for enrichment with reference data. Enabling autoscaling (option C) ensures the pipeline can handle varying throughput. Option D is not necessary for schema evolution; setting a limit on number of shards is for grouping. Option E is incorrect: Streaming Engine is a separate feature that manages state, but it is not directly related to schema evolution or data loss minimization.
What should I do if I get this PDE question wrong?
Identify which PDE exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
Are there clue words in this question I should notice?
Yes — watch for: "minimum / minimize". Asks for the least resource use — fewest addresses, smallest subnet, lowest overhead. Eliminate over-provisioned options even if they would technically work.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
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.
Question Discussion
Share a tip, memory trick, or ask about the reasoning behind this question. Do not post real exam questions, leaked content, braindumps, or copyrighted exam material. Comments are moderated and may be removed without notice.
Sign in to join the discussion.