The answer is to scale up the self-hosted integration runtime VM or add more nodes. This is correct because timeout errors during data movement in Azure Data Factory typically indicate that the self-hosted integration runtime is under-provisioned and cannot process the workload within the default timeout window, even when the source SQL Server and network are healthy. The self-hosted IR acts as a bridge between on-premises and cloud, and when its CPU, memory, or concurrent job capacity is exhausted, queued activities time out. On the Microsoft Azure Data Engineer Associate DP-203 exam, this scenario tests your understanding of integration runtime scaling and resource management, a common trap being to blame network issues or source query settings when the real bottleneck is IR performance. Remember the mnemonic “IR = Insufficient Resources” to quickly recall that scaling up or out is the first troubleshooting step for self-hosted integration runtime timeout issues.
DP-203 Design and develop data processing Practice Question
This DP-203 practice question tests your understanding of design and develop data processing. 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 uses Azure Data Factory to orchestrate an ETL pipeline that copies data from an on-premises SQL Server to Azure Synapse Analytics. The pipeline runs hourly and uses a self-hosted integration runtime. Recently, the pipeline started failing with timeout errors. The on-premises SQL Server is healthy and the network is stable. What is the most likely cause and solution?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue: "most likely"
Why it matters: Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
The self-hosted integration runtime is under-provisioned; scale up the VM or add more nodes
Option B is correct because timeouts often occur when the self-hosted IR is overloaded or has insufficient resources, and scaling up or adding nodes resolves the issue. Option A is wrong because the integration runtime version is automatically updated. Option C is wrong because the source query timeout is set to 120 seconds by default and increasing it may mask the problem. Option D is wrong because staging is used for large data transfers, but the issue is likely IR performance.
Key principle: Count usable hosts — not total addresses — and remember that the network and broadcast addresses are not available to hosts in standard IPv4 subnets.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
✗
The self-hosted integration runtime version is outdated; update it to the latest version
Why it's wrong here
Version updates are automatic and unlikely to cause sudden timeouts.
✗
The copy activity is not using staging; enable staging through Azure Blob Storage
Why it's wrong here
Staging helps with large transfers but not necessarily with timeouts.
✓
The self-hosted integration runtime is under-provisioned; scale up the VM or add more nodes
Why this is correct
Under-provisioned IR can cause timeouts; scaling resolves the issue.
Clue confirmation
The clue word "most likely" in the question point toward this answer.
The source query timeout in the copy activity is too low; increase it to 3600 seconds
Why it's wrong here
Increasing timeout may delay failure but doesn't address root cause.
Common exam traps
Common exam trap: usable hosts are not the same as total addresses
Subnetting questions often tempt you into counting all addresses. In normal IPv4 subnets, the network and broadcast addresses are not usable host addresses.
Detailed technical explanation
How to think about this question
Subnetting questions test whether you can identify the network, broadcast address, usable range, mask and correct subnet. Slow down enough to calculate the block size correctly.
KKey Concepts to Remember
CIDR notation defines the prefix length.
Block size helps identify subnet boundaries.
Network and broadcast addresses are not usable hosts in normal IPv4 subnets.
The required host count determines the smallest suitable subnet.
TExam Day Tips
→Write the block size before choosing the subnet.
→Check whether the question asks for hosts, subnets or a specific address range.
→Do not confuse /24, /25, /26 and /27 host counts.
Key takeaway
Count usable hosts — not total addresses — and remember that the network and broadcast addresses are not available to hosts in standard IPv4 subnets.
Real-world example
How this comes up in practice
A media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.
Related glossary terms
Concepts from this question explained
These glossary pages explain the core terms tested in this DP-203 question in full detail.
Review block sizes, usable host formulas (2^n − 2), and how to find network and broadcast addresses for /24 through /30. Then practise related DP-203 subnetting questions on CIDR, address ranges, and subnet selection.
Design and develop data processing — This question tests Design and develop data processing — CIDR notation defines the prefix length..
What is the correct answer to this question?
The correct answer is: The self-hosted integration runtime is under-provisioned; scale up the VM or add more nodes — Option B is correct because timeouts often occur when the self-hosted IR is overloaded or has insufficient resources, and scaling up or adding nodes resolves the issue. Option A is wrong because the integration runtime version is automatically updated. Option C is wrong because the source query timeout is set to 120 seconds by default and increasing it may mask the problem. Option D is wrong because staging is used for large data transfers, but the issue is likely IR performance.
What should I do if I get this DP-203 question wrong?
Review block sizes, usable host formulas (2^n − 2), and how to find network and broadcast addresses for /24 through /30. Then practise related DP-203 subnetting questions on CIDR, address ranges, and subnet selection.
Are there clue words in this question I should notice?
Yes — watch for: "most likely". Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.
What is the key concept behind this question?
CIDR notation defines the prefix length.
About these practice questions
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These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.
Variation 1. You are implementing a data pipeline using Azure Data Factory. The source is an on-premises SQL Server database. Which Azure Data Factory component is required to connect to the on-premises data source?
easy
A.Azure Integration Runtime
✓ B.Self-hosted Integration Runtime
C.Managed Virtual Network Integration Runtime
D.Azure Data Factory Gateway
Why B: A self-hosted integration runtime (IR) is required to connect Azure Data Factory to on-premises SQL Server because it provides the compute environment for data movement between on-premises networks and Azure. It must be installed on a machine inside the corporate firewall, enabling secure communication via outbound HTTPS (port 443) to Azure. This is the only IR type that can access private, on-premises data sources directly.
Variation 2. Refer to the exhibit. An Azure Data Factory instance uses a self-hosted integration runtime. The exhibit shows the properties of the integration runtime. The data engineer notices that copy activities are failing with errors indicating that the integration runtime is not available. What is the most likely cause?
hard
A.The integration runtime status is "Offline"
B.Auto-update is disabled, preventing the IR from updating
✓ C.The integration runtime version is outdated and needs to be manually updated
D.Self-contained interactive authoring is disabled, causing connectivity issues
Why C: Option C is correct because the exhibit shows the integration runtime version as '5.24.8345.1' and the status as 'Online', but copy activities are failing. The most likely cause is that the self-hosted IR version is outdated and no longer compatible with the Azure Data Factory service endpoints, leading to connectivity failures. Auto-update being disabled (Option B) would prevent automatic updates, but the core issue is the outdated version itself, which requires manual intervention to update.
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