- A
Use side inputs to enrich the data with reference data from BigQuery
Correct. Side inputs enable enrichment of streaming data with reference data from BigQuery, supporting schema evolution by allowing dynamic lookup.
- B
Set the `withAllowedLateness` to 0 for windowing to minimize latency
Why wrong: Incorrect. Setting `withAllowedLateness` to 0 drops late data, which can lead to data loss and does not address schema evolution.
- C
Set up a dead letter queue (DLQ) for messages that fail to parse or validate
Correct. A dead letter queue (DLQ) captures messages that fail parsing or validation, preventing data loss and allowing reprocessing.
- D
Enable autoscaling to handle spikes in message volume
Correct. Autoscaling dynamically adjusts worker count to handle spikes in message volume, minimizing data loss due to backpressure.
- E
Enable Streaming Engine to reduce checkpoint size
Why wrong: Incorrect. Streaming Engine reduces checkpoint size but does not directly relate to 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
Option A is correct: side inputs allow the pipeline to enrich streaming data with reference data from BigQuery, which is a common requirement for handling schema evolution and enrichment. Option C is correct: a dead letter queue captures messages that fail to parse or validate, preventing data loss and enabling reprocessing of failed messages. Option D is correct: autoscaling adjusts the number of workers dynamically to handle spikes in message volume, ensuring no data is lost due to backpressure. Option B is incorrect: setting `withAllowedLateness` to 0 does not help with schema evolution or minimize data loss; it simply drops late data, which could cause data loss. Option E is incorrect: Streaming Engine improves checkpoint performance but 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
Correct. Side inputs enable enrichment of streaming data with reference data from BigQuery, supporting schema evolution by allowing dynamic lookup.
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
Incorrect. Setting `withAllowedLateness` to 0 drops late data, which can lead to data loss and does not address schema evolution.
- ✓
Set up a dead letter queue (DLQ) for messages that fail to parse or validate
Why this is correct
Correct. A dead letter queue (DLQ) captures messages that fail parsing or validation, preventing data loss and allowing reprocessing.
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
Correct. Autoscaling dynamically adjusts worker count to handle spikes in message volume, minimizing data loss due to backpressure.
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
Incorrect. Streaming Engine reduces checkpoint size but does not directly relate to 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.
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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: Use side inputs to enrich the data with reference data from BigQuery — Option A is correct: side inputs allow the pipeline to enrich streaming data with reference data from BigQuery, which is a common requirement for handling schema evolution and enrichment. Option C is correct: a dead letter queue captures messages that fail to parse or validate, preventing data loss and enabling reprocessing of failed messages. Option D is correct: autoscaling adjusts the number of workers dynamically to handle spikes in message volume, ensuring no data is lost due to backpressure. Option B is incorrect: setting `withAllowedLateness` to 0 does not help with schema evolution or minimize data loss; it simply drops late data, which could cause data loss. Option E is incorrect: Streaming Engine improves checkpoint performance but 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
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Last reviewed: Jul 4, 2026
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