DP-900: Relational Data on Azure

Relational Data on Azure is one of the skill areas tested on the Azure Data Fundamentals (DP-900) exam. Below are free DP-900 practice questions with worked answers and a concept diagram — each with a plain-language explanation. Practice the first 10 questions of DP-900 free, no signup.

The concept, in one picture

Concept flowData fundamentals at a glance
Data fundamentals at a glanceRelationaltables, rows, schema-on-writeSQL · Azure SQL, PostgreSQLNon-relationalkey-value, document, graphNoSQL · Cosmos DB, tablesDescriptivewhat happened?Diagnosticwhy did it happen?Predictivewhat will happen?Prescriptivewhat should we do?Analytics grows in value from describing the past to advising action

3 free DP-900 Relational Data on Azure questions

Sample DP-900 question

For each statement about database normalization, choose Yes if it is correct, or No if it is not.

  • Normalization removes all relationships between the tables in a database.No
  • Applying normalization to a database lowers the amount of duplicated data.Yes
  • Normalization enhances the integrity of the data.Yes
Explanation

Normalization reduces duplicated data and strengthens data integrity. It does not remove relationships between tables; relationships are maintained through keys.

Sample DP-900 question

Choose the option that correctly completes the sentence. [answer choice] is a table object that physically orders and stores the table's data rows according to their key values.

  • A clustered index
  • A FileTable
  • A foreign key
  • A stored procedure
Explanation

A clustered index physically orders and stores a table's rows by the index key values, which is why a table can have only one clustered index.

Sample DP-900 question

Choose the option that correctly completes the sentence. A relational database is a good fit for workloads that have a high volume of [answer choice].

  • frequent changes to the relationships between entities
  • writes spread across different geographic locations
  • transactional writes
  • writes whose data structure keeps changing
Explanation

Relational databases favor consistency and support ACID transactions, making them appropriate for a high volume of transactional writes.

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