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Develop data processing →easyMultiple ChoiceObjective-mapped

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.

Exhibit

{
  "dataflows": [
    {
      "name": "TransformSales",
      "properties": {
        "sources": [
          {
            "name": "SalesSource",
            "dataset": {
              "referenceName": "SalesDataset",
              "type": "DatasetReference"
            }
          }
        ],
        "transformations": [
          {
            "name": "AggregateSales",
            "type": "Aggregate",
            "inputs": ["SalesSource"],
            "aggregates": [
              {
                "column": "TotalAmount",
                "function": "SUM",
                "input": "Amount"
              }
            ]
          }
        ],
        "sink": {
          "name": "SalesSink",
          "dataset": {
            "referenceName": "AggregatedSalesDataset",
            "type": "DatasetReference"
          }
        }
      }
    }
  ]
}

Refer to the exhibit. You have a mapping data flow in Azure Data Factory that aggregates sales data. The data flow runs successfully but the sink table contains only the total sum per run instead of per product. What is missing?

Question 1easymultiple choice
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Exhibit

{
  "dataflows": [
    {
      "name": "TransformSales",
      "properties": {
        "sources": [
          {
            "name": "SalesSource",
            "dataset": {
              "referenceName": "SalesDataset",
              "type": "DatasetReference"
            }
          }
        ],
        "transformations": [
          {
            "name": "AggregateSales",
            "type": "Aggregate",
            "inputs": ["SalesSource"],
            "aggregates": [
              {
                "column": "TotalAmount",
                "function": "SUM",
                "input": "Amount"
              }
            ]
          }
        ],
        "sink": {
          "name": "SalesSink",
          "dataset": {
            "referenceName": "AggregatedSalesDataset",
            "type": "DatasetReference"
          }
        }
      }
    }
  ]
}

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 aggregate transformation does not have a groupBy column

Option C is correct. The aggregate transformation does not have a groupBy clause, so it sums all rows. Adding a groupBy on ProductID will produce per-product totals. Option A is wrong because the source is correct. Option B is wrong because the sink is fine. Option D is wrong because there is no filter.

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 source dataset is not filtering by date

    Why it's wrong here

    Not relevant.

  • ✓

    The aggregate transformation does not have a groupBy column

    Why this is correct

    Without groupBy, it aggregates all rows.

    Related concept

    Read the scenario before looking for a memorised answer.

  • ✗

    The data flow is missing a filter transformation

    Why it's wrong here

    Not needed.

  • ✗

    The sink dataset is not configured to append

    Why it's wrong here

    Append vs replace doesn't fix aggregation.

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 aggregate transformation does not have a groupBy column — Option C is correct. The aggregate transformation does not have a groupBy clause, so it sums all rows. Adding a groupBy on ProductID will produce per-product totals. Option A is wrong because the source is correct. Option B is wrong because the sink is fine. Option D is wrong because there is no filter.

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.

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.