Quick Answer
Snapshot isolation is the correct choice because it guarantees that readers see only the latest committed data, ignoring any uncommitted transactions, which is exactly what Delta Lake’s snapshot isolation provides by presenting a consistent snapshot of the table at a specific version. This works through Delta Lake’s transaction log, which tracks all changes and allows readers to access a point-in-time view without blocking concurrent writes, ensuring read consistency even during active write operations. On the Microsoft Azure Data Engineer Associate DP-203 exam, this concept tests your understanding of Delta Lake’s concurrency control and isolation levels, often appearing in scenario-based questions about designing reliable data pipelines. A common trap is confusing snapshot isolation with serializable isolation—snapshot isolation prioritizes read consistency without locking, while serializable prevents write conflicts. Remember the memory tip: “Snapshot sees the past, not the pending”—it reads only what’s already committed, never uncommitted work in progress.
This DP-203 practice question tests your understanding of develop data processing. 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.
You are designing a data processing solution using Azure Databricks. The data is stored in Delta Lake format. You need to ensure that when you read the latest version of the table, you only see committed data and not uncommitted transactions. Which isolation level should you use?
WriteSerializable
Why wrong: WriteSerializable is for write conflicts, not read isolation.
Serializable
Why wrong: Serializable is an isolation level but not specifically the one that reads only committed data; Snapshot is the default for reads.
ReadUncommitted
Why wrong: ReadUncommitted allows reading uncommitted data.
SnapshotIsolation
Delta Lake uses Snapshot isolation to read the latest committed version.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
SnapshotIsolation
Snapshot isolation is the correct choice because it provides a consistent view of the table by reading only the latest committed data, ignoring any uncommitted transactions. In Delta Lake, snapshot isolation ensures that readers see a snapshot of the table at a specific version, which includes only committed changes, making it ideal for read consistency without blocking concurrent writes.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
WriteSerializable
Why it's wrong here
WriteSerializable is for write conflicts, not read isolation.
Serializable
Why it's wrong here
Serializable is an isolation level but not specifically the one that reads only committed data; Snapshot is the default for reads.
ReadUncommitted
Why it's wrong here
ReadUncommitted allows reading uncommitted data.
SnapshotIsolation
Why this is correct
Delta Lake uses Snapshot isolation to read the latest committed version.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
The trap here is that candidates confuse write isolation levels (like WriteSerializable) with read isolation levels, or assume that Serializable is always the safest choice for consistency, when in fact Snapshot isolation is the specific Delta Lake mechanism for reading only committed data without blocking.
Detailed technical explanation
Delta Lake uses a transaction log (stored in JSON files under the _delta_log directory) to track all commits and uncommitted transactions. Snapshot isolation works by reading the latest checkpoint and the transaction log to reconstruct the state of the table at a specific version, filtering out any uncommitted entries. This is crucial in multi-user environments where concurrent writes may leave uncommitted data, ensuring that ETL jobs or reporting queries always see a consistent, committed snapshot without waiting for locks.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
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
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FAQ
Develop data processing — This question tests Develop data processing — Read the scenario before looking for a memorised answer..
The correct answer is: SnapshotIsolation — Snapshot isolation is the correct choice because it provides a consistent view of the table by reading only the latest committed data, ignoring any uncommitted transactions. In Delta Lake, snapshot isolation ensures that readers see a snapshot of the table at a specific version, which includes only committed changes, making it ideal for read consistency without blocking concurrent writes.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 24, 2026
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