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Describe an analytics workload on Azure →mediumMultiple ChoiceObjective-mapped

Quick Answer

The answer is the Filter transformation, which is the correct choice because it restricts rows in a mapping data flow based on a specified condition, such as `year(SalesDate) == year(currentDate())`, to ensure only sales from the current year are loaded. This transformation operates at the row level, evaluating each incoming row against the filter expression and discarding any that do not match, making it the precise tool for this scenario. On the Microsoft Azure Data Fundamentals DP-900 exam, this concept tests your understanding of data flow transformations and their purposes, often appearing in scenario-based questions where you must identify which transformation handles row filtering versus column manipulation or aggregation. A common trap is confusing the Filter transformation with the Select transformation, which only chooses columns, or the Conditional Split transformation, which routes rows to different streams rather than removing them outright. To remember, think of Filter as a bouncer at a door—only rows that meet the condition get past, while everything else is turned away.

DP-900 Describe an analytics workload on Azure Practice Question

This DP-900 practice question tests your understanding of describe an analytics workload on azure. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. 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

Refer to the exhibit.

```json
{
  "dataflows": [
    {
      "name": "ProcessSales",
      "source": {
        "type": "AzureSqlDatabase",
        "connection": "SalesDB",
        "query": "SELECT * FROM Sales"
      },
      "sink": {
        "type": "AzureBlobStorage",
        "folderPath": "salesdata",
        "fileType": "Parquet"
      }
    }
  ]
}
```

You are reviewing the Azure Data Factory mapping data flow configuration above. Which transformation is missing to ensure that only sales from the current year are loaded?

Question 1mediummultiple choice
Full question →

Exhibit

Refer to the exhibit.

```json
{
  "dataflows": [
    {
      "name": "ProcessSales",
      "source": {
        "type": "AzureSqlDatabase",
        "connection": "SalesDB",
        "query": "SELECT * FROM Sales"
      },
      "sink": {
        "type": "AzureBlobStorage",
        "folderPath": "salesdata",
        "fileType": "Parquet"
      }
    }
  ]
}
```

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

✓

Filter transformation

The Filter transformation is used in mapping data flows to restrict rows based on a condition. To load only sales from the current year, you would apply a filter condition such as `year(SalesDate) == year(currentDate())`, which removes all rows not matching the current year. This is the correct transformation for row-level filtering.

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.

  • ✗

    Derived column transformation

    Why it's wrong here

    Adds a new column, does not filter.

  • ✗

    Aggregate transformation

    Why it's wrong here

    Aggregate groups data, does not filter.

  • ✗

    Window transformation

    Why it's wrong here

    Window is for ranking and aggregation.

  • ✓

    Filter transformation

    Why this is correct

    Filter can limit rows to current year.

    Related concept

    Read the scenario before looking for a memorised answer.

Common exam traps

Common exam trap: answer the scenario, not the keyword

The trap here is that candidates confuse column-level transformations (Derived column) with row-level filtering, assuming that extracting the year automatically filters data, whereas Filter is the only transformation that actually removes rows.

Detailed technical explanation

How to think about this question

The Filter transformation in mapping data flows operates on a row-by-row basis, evaluating a Boolean expression for each incoming row; only rows where the expression evaluates to true are passed downstream. Under the hood, this is implemented as a predicate pushdown in Spark, which can be optimized to reduce data movement. In a real-world scenario, you might combine a Derived column to extract the year and then a Filter to keep only rows where that year equals the current year, but the Filter alone with a direct date function is more efficient.

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.

TExam Day Tips

  • 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 exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.

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FAQ

Questions learners often ask

What does this DP-900 question test?

Describe an analytics workload on Azure — This question tests Describe an analytics workload on Azure — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: Filter transformation — The Filter transformation is used in mapping data flows to restrict rows based on a condition. To load only sales from the current year, you would apply a filter condition such as `year(SalesDate) == year(currentDate())`, which removes all rows not matching the current year. This is the correct transformation for row-level filtering.

What should I do if I get this DP-900 question wrong?

Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.

What is the key concept behind this question?

Read the scenario before looking for a memorised answer.

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Last reviewed: Jun 24, 2026

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