DP-900 Describe core data concepts Practice Question
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?
⚠ Common exam trap
Many candidates confuse 'Variety' with 'Volume' because they associate big data with large datasets, but the question explicitly asks about different formats, not size.
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.
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 incorrect because it refers to the sheer amount or scale of data — for example, terabytes of imaging studies or millions of patient records per day — not the diversity of data formats. A healthcare organization may ingest very high volumes from a single structured source, but that still would not involve variety. The scenario explicitly mentions structured, semi-structured, and unstructured types, which is a matter of format, not quantity.
When this WOULD be correct
A question that asks: 'Which characteristic of big data describes the challenge of storing and processing terabytes of data from thousands of sensors?' would have Volume as the correct answer.
- ✗
Velocity
Why it's wrong here
Velocity is incorrect because it describes the speed at which data is generated, transmitted, and processed — such as real-time vital sign streams from bedside monitors or batch ingestion of claims daily. Velocity has nothing to do with whether data is structured, semi-structured, or unstructured. Even if data arrives slowly over batch transfers, the presence of multiple formats would still be an example of variety, not velocity.
When this WOULD be correct
A question like 'A stock trading platform ingests real-time market data and must process trades within milliseconds. Which big data characteristic is most relevant?' would make velocity the correct answer.
- ✓
Variety
Why this is correct
Variety is the correct choice because it specifically captures the heterogeneity of data types being ingested — structured data like lab values in relational tables, semi-structured data like HL7/FHIR messages or JSON, and unstructured data like physician notes or scanned images. In a healthcare analytics platform, this diversity of formats and schemas across sources (EHR, imaging, wearables) is exactly what the variety dimension addresses. It does not focus on quantity, speed, or trustworthiness, which are other V's of big data.
- ✗
Veracity
Why it's wrong here
Veracity is incorrect because it refers to the trustworthiness, accuracy, completeness, and consistency of data, not the range of formats. In healthcare, veracity would be about whether a blood pressure reading is reliable, whether a diagnosis code is correctly recorded, or whether missing values in a patient record undermine analytic results. While a platform must handle poor-quality data, veracity does not describe the different data types being ingested.
When this WOULD be correct
Veracity would be correct in a question about data quality challenges, e.g., 'A data platform ingests data from multiple sources with inconsistent accuracy and missing values. Which big data characteristic is most relevant?'
Option-by-option analysis
Why each answer is right or wrong
Understanding why wrong answers are wrong — and when they would be correct — is what separates a 750 score from a 900. The DP-900 exam frequently reuses these exact scenarios with slightly different constraints.
✓VarietyCorrect answer▾
Why this is correct
Variety is the correct choice because it specifically captures the heterogeneity of data types being ingested — structured data like lab values in relational tables, semi-structured data like HL7/FHIR messages or JSON, and unstructured data like physician notes or scanned images. In a healthcare analytics platform, this diversity of formats and schemas across sources (EHR, imaging, wearables) is exactly what the variety dimension addresses. It does not focus on quantity, speed, or trustworthiness, which are other V's of big data.
✗VolumeWrong answer — click to see why▾
Why this is wrong here
The question specifically asks about 'different formats of data,' which is the definition of variety. Volume refers to the amount of data, not its format.
★ When this WOULD be the correct answer
A question that asks: 'Which characteristic of big data describes the challenge of storing and processing terabytes of data from thousands of sensors?' would have Volume as the correct answer.
Why candidates choose this
Candidates may confuse the large amount of data from multiple sources with the concept of volume, not realizing the question focuses on format differences.
✗VelocityWrong answer — click to see why▾
Why this is wrong here
The question specifically asks about the different formats of data (structured, semi-structured, unstructured), which is the definition of variety, not velocity. Velocity refers to the speed at which data is generated and processed.
★ When this WOULD be the correct answer
A question like 'A stock trading platform ingests real-time market data and must process trades within milliseconds. Which big data characteristic is most relevant?' would make velocity the correct answer.
Why candidates choose this
Candidates may confuse the high speed of data ingestion from multiple sources (like medical devices) with the concept of velocity, not realizing that the question focuses on data format differences.
✗VeracityWrong answer — click to see why▾
Why this is wrong here
Veracity refers to the trustworthiness or quality of data, not the different formats. The question specifically asks about the characteristic describing different data formats, which is Variety.
★ When this WOULD be the correct answer
Veracity would be correct in a question about data quality challenges, e.g., 'A data platform ingests data from multiple sources with inconsistent accuracy and missing values. Which big data characteristic is most relevant?'
Why candidates choose this
Candidates may confuse Veracity with Variety because both start with 'V' and relate to data complexity, or they may think different formats imply data quality issues.
Analysis generated from the official DP-900blueprint and verified against question context. The “when correct” sections are what AI assistants cite when candidates ask “what’s the difference between these options?”
Go deeper
Related to this question
Learn chapter
Data Roles and Core Concepts
Key term
Data
Data is raw, unprocessed information, like numbers, words, or measurements, that can be stored, processed, and analyzed by computers.
Key term
Big data
Big data refers to extremely large and complex datasets that traditional data processing tools cannot handle efficiently, requiring specialized technologies to store, process, and analyze them.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This DP-900 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-900 exam.