Question 41 of 982
Describe core data conceptseasyMultiple ChoiceObjective-mapped

Quick Answer

The answer is Variety. This is correct because the scenario describes data in three distinct formats—structured patient records from a relational database, semi-structured JSON logs from medical devices, and unstructured physician notes as plain text—and in big data terminology, the big data variety definition specifically refers to the different types and formats of data being ingested. On the Microsoft Azure Data Fundamentals DP-900 exam, this concept tests your understanding of the 4 V’s of big data, where Variety is the characteristic that captures the heterogeneity of data sources and structures, often appearing in questions that list multiple data formats to distinguish it from Volume (amount) or Velocity (speed). A common trap is confusing Variety with Volume when the question emphasizes different file types rather than data size. To remember, think of “Variety” as the “V for different varieties of data,” like a mixed fruit basket containing apples, oranges, and grapes—each with a distinct structure.

DP-900 Describe core data concepts Practice Question

This DP-900 practice question tests your understanding of describe core data concepts. 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 healthcare organization is planning a data analytics platform. They will ingest data from various sources: structured patient records from a relational database, semi-structured JSON logs from medical devices, and unstructured physician notes as plain text files. Which characteristic of big data describes the different formats of data being ingested?

Question 1easymultiple 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

Variety

The question describes data in three distinct formats: structured (relational database), semi-structured (JSON logs), and unstructured (plain text). In big data terminology, 'Variety' specifically refers to the different types and formats of data being processed. This is a core concept in the 4 V's of big data, where Variety captures the heterogeneity of data sources and structures.

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.

  • Volume

    Why it's wrong here

    Volume is about the quantity of data, not the different formats.

  • Velocity

    Why it's wrong here

    Velocity is about the speed of data generation and processing, not the variety of formats.

  • Variety

    Why this is correct

    Variety correctly describes the different data types (structured, semi-structured, unstructured) being ingested.

    Related concept

    Read the scenario before looking for a memorised answer.

  • Veracity

    Why it's wrong here

    Veracity deals with data trustworthiness and quality, not the range of data formats.

Common exam traps

Common exam trap: answer the scenario, not the keyword

The trap here is that candidates often confuse 'Variety' with 'Volume' because they associate big data with large datasets, but the question explicitly asks about different formats, not size.

Detailed technical explanation

How to think about this question

In Azure, services like Azure Data Lake Storage and Azure Synapse Analytics are designed to handle Variety by supporting multiple data formats (Parquet, Avro, JSON, CSV, etc.) without schema-on-write constraints. For example, Azure Data Factory can ingest JSON logs from medical devices alongside relational data from Azure SQL Database, while Azure Cognitive Search can index unstructured physician notes. The ability to process diverse formats in a unified pipeline is a key differentiator of modern cloud data platforms versus traditional data warehouses that require strict schema-on-write.

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.

Related practice questions

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FAQ

Questions learners often ask

What does this DP-900 question test?

Describe core data concepts — This question tests Describe core data concepts — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: Variety — The question describes data in three distinct formats: structured (relational database), semi-structured (JSON logs), and unstructured (plain text). In big data terminology, 'Variety' specifically refers to the different types and formats of data being processed. This is a core concept in the 4 V's of big data, where Variety captures the heterogeneity of data sources and structures.

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 11, 2026

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