- A
Use a Lookup activity to read the JSON, then a ForEach activity to iterate and insert rows into SQL Database.
Why wrong: Lookup is not designed for bulk ingestion.
- B
Use a Copy activity to ingest data from the HTTP source into Azure Blob Storage, then a Data Flow activity with a Flatten transformation to flatten the JSON, and finally a Copy activity to load into SQL Database.
This is the standard pattern: ingest, transform, load.
- C
Use a Data Flow activity directly from HTTP source with a Flatten transformation and sink to SQL Database.
Why wrong: Data Flow cannot directly read from HTTP source.
- D
Use two Copy activities: one to copy JSON to Blob Storage, and another to copy from Blob Storage to SQL Database without transformation.
Why wrong: No flattening transformation is applied.
DP-203 Develop data processing Practice Question
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 pipeline using Azure Data Factory. The pipeline must ingest data from an HTTP endpoint that returns a JSON array. The data must be transformed by flattening nested arrays and then loaded into an Azure SQL Database table. The pipeline should be triggered daily. You need to choose the appropriate activities and transformations. The solution must be cost-effective and easy to maintain. Which combination of activities should you use?
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
Use a Copy activity to ingest data from the HTTP source into Azure Blob Storage, then a Data Flow activity with a Flatten transformation to flatten the JSON, and finally a Copy activity to load into SQL Database.
Option A is correct. A Copy activity can ingest the JSON from HTTP, and a Data Flow with Flatten transformation can flatten the nested arrays. Option B is wrong because Execute Pipeline is unnecessary. Option C is wrong because a Lookup activity is for reading a single row, not for data ingestion. Option D is wrong because multiple Copy activities are not needed.
Key principle: NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Use a Lookup activity to read the JSON, then a ForEach activity to iterate and insert rows into SQL Database.
Why it's wrong here
Lookup is not designed for bulk ingestion.
- ✓
Use a Copy activity to ingest data from the HTTP source into Azure Blob Storage, then a Data Flow activity with a Flatten transformation to flatten the JSON, and finally a Copy activity to load into SQL Database.
Why this is correct
This is the standard pattern: ingest, transform, load.
Related concept
Static NAT maps one inside address to one outside address.
- ✗
Use a Data Flow activity directly from HTTP source with a Flatten transformation and sink to SQL Database.
Why it's wrong here
Data Flow cannot directly read from HTTP source.
- ✗
Use two Copy activities: one to copy JSON to Blob Storage, and another to copy from Blob Storage to SQL Database without transformation.
Why it's wrong here
No flattening transformation is applied.
Common exam traps
Common exam trap: NAT rules depend on direction and matching traffic
NAT is not only about the public address. The inside/outside interface roles and the ACL or rule that matches traffic are just as important.
Detailed technical explanation
How to think about this question
NAT questions usually test address translation, overload/PAT behaviour, static mappings and whether the right traffic is being translated. Read the interface direction and address terms carefully.
KKey Concepts to Remember
- Static NAT maps one inside address to one outside address.
- PAT allows many inside hosts to share one public address using ports.
- Inside local and inside global describe the private and translated addresses.
- NAT ACLs identify traffic for translation, not always security filtering.
TExam Day Tips
- Identify inside and outside interfaces first.
- Check whether the scenario needs static NAT, dynamic NAT or PAT.
- Do not confuse NAT matching ACLs with normal packet-filtering intent.
Key takeaway
NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated.
Real-world example
How this comes up in practice
A startup's cloud architect reviews their monthly bill and notices costs are higher than expected for a long-running batch job. Switching from on-demand instances to Reserved Instances — or using Spot/Preemptible VMs — can reduce compute costs by up to 72 %. Questions like this test whether you understand the tradeoffs between commitment, flexibility, and cost across cloud pricing models.
What to study next
Got this wrong? Here's your next step.
Review the four NAT address types (inside local, inside global, outside local, outside global), PAT port overload, and static vs dynamic NAT use cases. Then practise related DP-203 NAT questions on configuration and troubleshooting.
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FAQ
Questions learners often ask
What does this DP-203 question test?
Develop data processing — This question tests Develop data processing — Static NAT maps one inside address to one outside address..
What is the correct answer to this question?
The correct answer is: Use a Copy activity to ingest data from the HTTP source into Azure Blob Storage, then a Data Flow activity with a Flatten transformation to flatten the JSON, and finally a Copy activity to load into SQL Database. — Option A is correct. A Copy activity can ingest the JSON from HTTP, and a Data Flow with Flatten transformation can flatten the nested arrays. Option B is wrong because Execute Pipeline is unnecessary. Option C is wrong because a Lookup activity is for reading a single row, not for data ingestion. Option D is wrong because multiple Copy activities are not needed.
What should I do if I get this DP-203 question wrong?
Review the four NAT address types (inside local, inside global, outside local, outside global), PAT port overload, and static vs dynamic NAT use cases. Then practise related DP-203 NAT questions on configuration and troubleshooting.
What is the key concept behind this question?
Static NAT maps one inside address to one outside address.
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Last reviewed: Jun 21, 2026
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