Question 837 of 846
Develop data processinghardMultiple ChoiceObjective-mapped

Quick Answer

The answer is that the job is being restarted and reprocessing data, which is the most likely cause of duplicate output after a failure. When a Stream Analytics job recovers from a failure, it replays input events from the last saved checkpoint, and if the output sink—like Azure SQL Database—is not idempotent, the same windowed aggregation results are written again, creating duplicates. On the DP-203 exam, this tests your understanding of Stream Analytics’ exactly-once processing guarantees versus at-least-once delivery behavior during recovery, a common trap where candidates overlook that checkpoint-based replay can reintroduce data. A key memory tip is to think of “recovery replay” as the culprit: any job restart, even from a brief outage, will reprocess the window, so always design your output to handle duplicates via upserts or deduplication logic.

DP-203 Develop data processing Practice Question

This DP-203 practice question tests your understanding of develop data processing. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. 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.

You are using Azure Stream Analytics to process real-time temperature data from IoT devices. The output must be written to Azure SQL Database. The job has been running successfully for weeks, but recently you notice that the output data has duplicate rows. The input events are unique. The job uses a windowed aggregation (TumblingWindow). What is the most likely cause of duplicates?

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.

Question 1hardmultiple choice
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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

The job is being restarted and reprocessing data.

Option D is correct because when a Stream Analytics job recovers from a failure, it reprocesses input from the last checkpoint, which can cause duplicate output if the output is not idempotent. Option A is wrong because window size affects aggregation but not duplicates. Option B is wrong because late events can cause out-of-order results but not duplicates if handled correctly. Option C is wrong because the input is unique, so duplicates are not from input.

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.

  • The job is not handling late-arriving events.

    Why it's wrong here

    Late events cause out-of-order but not duplicates.

  • The job is being restarted and reprocessing data.

    Why this is correct

    Restart can cause reprocessing and duplicate output without idempotent writes.

    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.

  • The input event hub is receiving duplicate events.

    Why it's wrong here

    Input is stated as unique.

  • The tumbling window size is too small.

    Why it's wrong here

    Window size does not cause duplicates.

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 DP-203 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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FAQ

Questions learners often ask

What does this DP-203 question test?

Develop data processing — This question tests Develop data processing — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: The job is being restarted and reprocessing data. — Option D is correct because when a Stream Analytics job recovers from a failure, it reprocesses input from the last checkpoint, which can cause duplicate output if the output is not idempotent. Option A is wrong because window size affects aggregation but not duplicates. Option B is wrong because late events can cause out-of-order results but not duplicates if handled correctly. Option C is wrong because the input is unique, so duplicates are not from input.

What should I do if I get this DP-203 question wrong?

Identify which DP-203 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: "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: Jun 21, 2026

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This DP-203 practice question is part of Courseiva's free Microsoft 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 DP-203 exam.