Question 189 of 982

Quick Answer

The correct answer is Atomicity. This ACID property guarantees that a transaction in Azure SQL Database is treated as an indivisible unit of work, meaning if a single transaction updates both a patient’s insurance row and their treatment plan row, either both updates are committed together or both are rolled back entirely—never leaving the database with only one change applied. On the Microsoft Azure Data Fundamentals DP-900 exam, this concept tests your understanding of how Azure SQL Database ensures data consistency during multi-row operations; a common trap is confusing atomicity with consistency, which instead ensures data follows all rules and constraints after the transaction. To remember it, think of the word “atom”—just as an atom was once thought to be indivisible, atomicity means the transaction cannot be split: it’s all or nothing.

DP-900 Practice Question: Identify considerations for relational data on Azure

This DP-900 practice question tests your understanding of identify considerations for relational data on azure. 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. 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 hospital uses Azure SQL Database to store patient records. The database contains tables for patient information, insurance details, and treatment plans. The system must ensure that if a transaction updates a patient's insurance and their treatment plan in two separate rows, either both updates succeed or both fail. Which ACID property guarantees this behavior?

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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

Atomicity

Atomicity ensures that a transaction is treated as a single, indivisible unit of work. In Azure SQL Database, if a transaction updates both the insurance and treatment plan rows, atomicity guarantees that either both updates are committed or both are rolled back, preventing partial updates that could leave data in an inconsistent state.

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.

  • Durability

    Why it's wrong here

    Durability ensures that once a transaction is committed, it remains saved, even after a system failure. It does not handle partial failures within a transaction.

  • Consistency

    Why it's wrong here

    Consistency ensures that transactions bring the database from one valid state to another, but it does not guarantee that all parts of a transaction complete together.

  • Isolation

    Why it's wrong here

    Isolation ensures that concurrent transactions do not interfere with each other, but does not address the all-or-nothing requirement.

  • Atomicity

    Why this is correct

    Atomicity guarantees that all operations within a transaction are completed successfully or none are applied, matching the requirement to update both rows or neither.

    Related concept

    Read the scenario before looking for a memorised answer.

Common exam traps

Common exam trap: answer the scenario, not the keyword

The trap here is that candidates confuse atomicity with consistency, thinking that consistency alone ensures all-or-nothing updates, but consistency only enforces rules and constraints—it is atomicity that provides the rollback mechanism to prevent partial transactions.

Detailed technical explanation

How to think about this question

In Azure SQL Database, atomicity is implemented via the transaction log: before any change is written to the data pages, the log records the 'begin transaction' and each modification. If a failure occurs before the 'commit transaction' log record is written, the database engine uses the log to undo (roll back) all changes made by that transaction, ensuring no partial updates remain. This is critical in healthcare systems where a partial update could leave a patient with an insurance change but an outdated treatment plan, potentially causing billing or care errors.

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.

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FAQ

Questions learners often ask

What does this DP-900 question test?

Identify considerations for relational data on Azure — This question tests Identify considerations for relational data on Azure — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: Atomicity — Atomicity ensures that a transaction is treated as a single, indivisible unit of work. In Azure SQL Database, if a transaction updates both the insurance and treatment plan rows, atomicity guarantees that either both updates are committed or both are rolled back, preventing partial updates that could leave data in an inconsistent state.

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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