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HomeCertificationsDP-900TopicsDescribe core data concepts
Free · No Signup RequiredMicrosoft · DP-900

DP-900 Describe core data concepts Practice Questions

20+ practice questions focused on Describe core data concepts — one of the most tested topics on the Microsoft Azure Data Fundamentals DP-900 exam. Each question includes a detailed explanation so you learn why the right answer is correct.

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Exam Domains

Describe core data conceptsDescribe an analytics workload on AzureIdentify considerations for relational data on AzureDescribe considerations for working with non-relational data on AzureAll domains →

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Sample Describe core data concepts Questions

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1.

A company stores customer names, addresses, and order history. They need to perform complex queries that join customer and order data. Which type of data store is most appropriate for this scenario?

A.Key-value store
B.Relational database
C.Document database
D.Graph database

Explanation: A relational database (e.g., Azure SQL Database) is most appropriate because the scenario requires joining customer and order data via complex queries. Relational databases enforce a fixed schema with tables, primary keys, and foreign keys, enabling efficient JOIN operations using SQL. This structure ensures data integrity and supports ACID transactions, which are essential for accurate order history and customer records.

2.

A retail company captures real-time sensor data from IoT devices to detect anomalies and predict equipment failures. The data must be processed immediately as it arrives. Which type of data processing workload best describes this scenario?

A.Batch processing
B.Streaming processing
C.Online transaction processing (OLTP)
D.Data warehousing

Explanation: B is correct because streaming processing is designed for continuous, real-time data ingestion and immediate analysis, which matches the requirement to process sensor data as it arrives. Technologies like Azure Stream Analytics or Apache Kafka enable low-latency processing of IoT data streams to detect anomalies and predict failures without batching.

3.

Which classification of data describes information that has a fixed schema and is organized into rows and columns, such as data found in a relational database table?

A.Unstructured data
B.Semi-structured data
C.Structured data
D.Transformed data

Explanation: Structured data is defined by a fixed schema, where each data element adheres to a predefined data type and relationship, organized into rows and columns. This is the fundamental model of a relational database table, such as those in Azure SQL Database or SQL Server, where constraints like primary keys and foreign keys enforce the schema.

4.

A logistics company stores shipping waybill data as JSON documents. Each document contains fields like 'shipmentId', 'destination', and 'items', but the number of items and the fields within each item can vary between shipments. Which category best describes this type of data?

A.Operational data
B.Semi-structured data
C.Unstructured data
D.Structured data

Explanation: JSON documents with varying fields and nested structures like 'items' that differ between shipments are a classic example of semi-structured data. Unlike structured data with a fixed schema, semi-structured data uses tags or markers (like JSON key-value pairs) to separate data elements, allowing for flexibility in the number and type of fields per record. This aligns with the DP-900 definition of semi-structured data, which includes formats such as JSON, XML, and Parquet.

5.

A consulting firm collects client information in two forms: a spreadsheet with columns for Name, Address, and Phone Number, and audio recordings of client meetings. Which of the following statements correctly categorizes these data types?

A.Both the spreadsheet data and the audio recordings are examples of structured data.
B.The spreadsheet data is structured, and the audio recordings are semi-structured.
C.The spreadsheet data is structured, and the audio recordings are unstructured.
D.The spreadsheet data is semi-structured, and the audio recordings are unstructured.

Explanation: The spreadsheet data with columns for Name, Address, and Phone Number has a predefined schema (rows and columns), making it structured data. Audio recordings are binary files with no inherent schema or organization, fitting the definition of unstructured data. Option C correctly pairs these classifications.

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How to master Describe core data concepts for DP-900

1. Baseline your knowledge

Start with 10 questions to gauge your current understanding of Describe core data concepts. This tells you whether you need a concept refresher or just practice.

2. Review every explanation

For each question — right or wrong — read the full explanation. Understanding why an answer is correct is more valuable than knowing the answer itself.

3. Focus on exam traps

Describe core data concepts questions on the DP-900 frequently use trap wording. Look for subtle differences in answers that test your precision, not just general knowledge.

4. Reach 80% consistently

Do repeated sessions until you score 80%+ three times in a row. Then move to mixed-mode practice to test cross-topic recall under realistic conditions.

Frequently asked questions

How many DP-900 Describe core data concepts questions are on the real exam?

The exact number varies per candidate. Describe core data concepts is tested as part of the Microsoft Azure Data Fundamentals DP-900 blueprint. Practicing with targeted Describe core data concepts questions ensures you can handle any format or difficulty that appears.

Are these DP-900 Describe core data concepts practice questions free?

Yes. Courseiva provides free DP-900 practice questions across all exam topics and domains. The platform includes topic-based practice, mock exams, missed-question review, bookmarked questions, and readiness tracking — no account required.

Is Describe core data concepts one of the harder DP-900 topics?

Difficulty is subjective, but Describe core data concepts is a high-priority exam concept tested in multiple ways — direct recall, scenario analysis, and command-output interpretation. Consistent practice is the best way to build confidence.

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Topic Info

Topic

Describe core data concepts

Exam

DP-900

Questions available

20+