Question 756 of 1,000
Ingesting and Processing the DatahardMultiple ChoiceObjective-mapped

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 company is using Pub/Sub to ingest clickstream events and Dataflow to write to BigQuery. They observe that some events are malformed and cause the pipeline to fail. They need a solution that captures malformed events without blocking the pipeline and allows reprocessing later. Which Dataflow pattern should they implement?

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

Write malformed events to a dead letter sink (e.g., another Pub/Sub topic or GCS bucket) and continue processing healthy events

Dead letter sinks (DLQ) are the standard pattern for handling bad records in Dataflow. The pipeline writes malformed records to a separate sink (e.g., Pub/Sub topic or GCS) for later analysis. Side inputs are for enriching data, not error handling. Reshuffle doesn't apply. Output tags (side outputs) can also be used, but explicit dead letter pattern is more standard.

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 a side input to filter malformed events before the main pipeline

    Why it's wrong here

    Side inputs are for joining additional data, not error handling.

  • Use the Reshuffle transform to reattempt failures

    Why it's wrong here

    Reshuffle is used to repartition data, not for error handling.

  • Write malformed events to a dead letter sink (e.g., another Pub/Sub topic or GCS bucket) and continue processing healthy events

    Why this is correct

    Dead letter sink is the correct pattern: isolate bad records and let the pipeline proceed.

    Related concept

    Read the scenario before looking for a memorised answer.

  • Use logging alerts to notify the team and stop the pipeline on error

    Why it's wrong here

    Stopping the pipeline on error is not desired; the team wants to continue processing.

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 media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.

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.

Related practice questions

Related PDE practice-question pages

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Practice this exam

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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: Write malformed events to a dead letter sink (e.g., another Pub/Sub topic or GCS bucket) and continue processing healthy events — Dead letter sinks (DLQ) are the standard pattern for handling bad records in Dataflow. The pipeline writes malformed records to a separate sink (e.g., Pub/Sub topic or GCS) for later analysis. Side inputs are for enriching data, not error handling. Reshuffle doesn't apply. Output tags (side outputs) can also be used, but explicit dead letter pattern is more standard.

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.

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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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.