Question 775 of 851
Develop data processingmediumMultiple ChoiceObjective-mapped

KQL Where Operator — Filtering Results in Azure Data Explorer | Azure Data Engineer Associate Explained

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. A key principle to apply: where operator. 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. The following is a KQL query run in Azure Data Explorer:

let T = datatable(Id:int, Name:string, Age:int)
[
  1, 'Alice', 30,
  2, 'Bob', 25,
  3, 'Charlie', 35
];
T
| where Age > 25
| project Name, Age

Refer to the exhibit. You run the KQL query in Azure Data Explorer. What is the output?

Exhibit

Refer to the exhibit. The following is a KQL query run in Azure Data Explorer:

let T = datatable(Id:int, Name:string, Age:int)
[
  1, 'Alice', 30,
  2, 'Bob', 25,
  3, 'Charlie', 35
];
T
| where Age > 25
| project Name, Age

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

Name: Alice, Age: 30; Name: Charlie, Age: 35

The KQL query uses a `where` clause to filter rows where Age is greater than 25, which selects Alice (Age 30) and Charlie (Age 35) and excludes Bob (Age 25). The `project` operator then selects only the Name and Age columns, so the output consists of those two rows with those columns.

Key principle: where operator

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Name: Alice, Age: 30; Name: Charlie, Age: 35

    Why this is correct

    Only Alice and Charlie have Age >25.

    Related concept

    where operator

  • Id: 1, Name: Alice, Age: 30; Id: 3, Name: Charlie, Age: 35

    Why it's wrong here

    The project clause removes Id column.

  • Name: Alice, Age: 30; Name: Bob, Age: 25; Name: Charlie, Age: 35

    Why it's wrong here

    Bob is included but his age is 25, not >25.

  • Name: Alice, Age: 30; Name: Bob, Age: 25; Name: Charlie, Age: 35

    Why it's wrong here

    Bob is filtered out because Age is not >25.

Common exam traps

Common exam trap: answer the scenario, not the keyword

A common mistake is to include the 'Id' column in the output, thinking it is retained by the 'project' operator, but 'project' only includes the specified columns. Option B incorrectly includes Id.

Detailed technical explanation

How to think about this question

The `take` operator in KQL is equivalent to `limit` in SQL and returns a specified number of rows without any guarantee of order unless an `order by` clause is used. In Azure Data Explorer, data is stored in extents (shards), and `take` returns rows from the first extent it scans, which can vary across executions. This behavior is important for debugging or sampling data, but for deterministic results, always pair `take` with `order by`.

KKey Concepts to Remember

  • where operator
  • project operator

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

where operator

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. where operator 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.

Review where operator, then practise related DP-203 questions on the same topic to reinforce the concept.

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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 — where operator.

What is the correct answer to this question?

The correct answer is: Name: Alice, Age: 30; Name: Charlie, Age: 35 — The KQL query uses a `where` clause to filter rows where Age is greater than 25, which selects Alice (Age 30) and Charlie (Age 35) and excludes Bob (Age 25). The `project` operator then selects only the Name and Age columns, so the output consists of those two rows with those columns.

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

Review where operator, then practise related DP-203 questions on the same topic to reinforce the concept.

What is the key concept behind this question?

where operator

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Last reviewed: Jun 24, 2026

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