The answer is that no additional configuration is needed because Azure Synapse Analytics provides built-in fault tolerance. This is a core architectural feature of its Massively Parallel Processing (MPP) engine, which automatically maintains at least three synchronous replicas of all data and metadata across both the control node and compute nodes. If a single node fails, these replicas ensure no data is lost, and the system seamlessly redirects queries to surviving copies without manual intervention. On the DP-900 exam, this concept tests your understanding of Synapse’s distributed architecture versus traditional single-node databases. A common trap is assuming you must configure replication or backup settings for node-level failures, but the key is that Synapse handles this automatically. Remember the memory tip: “Three copies, no worries” — Synapse’s triple-mirroring means you don’t lift a finger for node fault tolerance.
DP-900 Describe an analytics workload on Azure Practice Question
This DP-900 practice question tests your understanding of describe an analytics workload on azure. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. 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 company runs a critical workload in Azure Synapse Analytics. They need to ensure that if a single node fails, the data in the control node and compute nodes is not lost. Which configuration should they use?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
No additional configuration is needed; Synapse provides built-in fault tolerance.
Azure Synapse Analytics (formerly SQL DW) is a distributed MPP (Massively Parallel Processing) system that automatically replicates data across multiple internal copies within the control node and compute nodes. This built-in fault tolerance ensures that if a single node fails, data is not lost because Synapse maintains at least three synchronous replicas of all data and metadata. No additional configuration is required for node-level failure protection.
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.
✗
Deploy a SQL Server Always On availability group.
Why it's wrong here
Not applicable to Synapse Analytics.
✓
No additional configuration is needed; Synapse provides built-in fault tolerance.
Why this is correct
Synapse automatically replicates data and control node.
Related concept
Read the scenario before looking for a memorised answer.
✗
Configure active geo-replication.
Why it's wrong here
Synapse does not support active geo-replication; it uses storage replication.
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates confuse the need for high availability with disaster recovery, assuming that because Synapse is a distributed system, they must manually configure clustering or replication, when in fact Synapse provides built-in fault tolerance at the node level as a core feature of the service.
Detailed technical explanation
How to think about this question
Under the hood, Azure Synapse Analytics uses a distributed storage layer based on Azure Blob Storage with LRS (Locally Redundant Storage), which automatically creates three synchronous replicas within the same datacenter. The control node and compute nodes are stateless, with all data persisted in this storage layer, so a node failure only causes a brief interruption while a replacement node is provisioned and reconnected to the same underlying storage. In a real-world scenario, if a compute node fails during a query, Synapse automatically retries the query on a healthy node without data loss.
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
An e-commerce site experiences heavy traffic on Black Friday and near-zero traffic during off-peak weeks. Rather than provisioning permanent large VMs, the team uses auto-scaling groups that add capacity automatically under load and reduce it overnight. Questions like this test whether you understand elasticity, availability zones, and cloud compute scaling patterns.
Related glossary terms
Concepts from this question explained
These glossary pages explain the core terms tested in this DP-900 question in full detail.
Describe an analytics workload on Azure — This question tests Describe an analytics workload on Azure — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: No additional configuration is needed; Synapse provides built-in fault tolerance. — Azure Synapse Analytics (formerly SQL DW) is a distributed MPP (Massively Parallel Processing) system that automatically replicates data across multiple internal copies within the control node and compute nodes. This built-in fault tolerance ensures that if a single node fails, data is not lost because Synapse maintains at least three synchronous replicas of all data and metadata. No additional configuration is required for node-level failure protection.
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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Question Discussion
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