Question 389 of 851

Develop data processing →easyMultiple ChoiceObjective-mapped

How to Flatten JSON Arrays in Azure Data Factory Mapping Data Flows

Q: How is Develop data processing tested on the DP-203 exam?

Develop data processing — This question tests Develop data processing — Read the scenario before looking for a memorised answer..

Q: What is the correct answer to this Develop data processing DP-203 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. — The correct approach is Option B: Use a Copy activity to ingest data from the HTTP source into Azure Blob Storage (staging), 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 cost-effective and maintainable because it separates ingestion and transformation, allows for schema drift, and uses serverless Data Flows. Option A is wrong because Lookup is for reading a single row/value, not for bulk data ingestion; ForEach with insert would be inefficient and costly. Option C is wrong because Data Flows cannot directly read from HTTP sources; they require a dataset that is staged in a supported store like Blob Storage. Option D is wrong because it performs no transformation, so the nested JSON would not be flattened for loading into SQL.

Q: Why do candidates get Develop data processing questions wrong on the DP-203 exam?

Identify which DP-203 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.

This DP-203 practice question tests your understanding of 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.

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?

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.

Full breakdown with real-world context →

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.

The correct approach is Option B: Use a Copy activity to ingest data from the HTTP source into Azure Blob Storage (staging), 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 cost-effective and maintainable because it separates ingestion and transformation, allows for schema drift, and uses serverless Data Flows. Option A is wrong because Lookup is for reading a single row/value, not for bulk data ingestion; ForEach with insert would be inefficient and costly. Option C is wrong because Data Flows cannot directly read from HTTP sources; they require a dataset that is staged in a supported store like Blob Storage. Option D is wrong because it performs no transformation, so the nested JSON would not be flattened for loading into SQL.

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.

✗
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
Read the scenario before looking for a memorised answer.
✗
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: answer the scenario, not the keyword

Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.

Detailed technical explanation

How to think about this question

This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.

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.
Use explanations to understand the rule behind the answer.

TExam Day Tips

Underline the problem statement mentally.
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 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.

Quick reference

Azure Blob Storage Tier Comparison

Tier	Storage Cost	Retrieval Cost	Latency	Use Case
Hot	Highest	Lowest	Immediate	Active data, frequent reads
Cool	Lower	Higher	Immediate	Data accessed < once / month
Cold	Lower still	Higher	Immediate	Data accessed < once / quarter
Archive	Lowest	Highest + rehydration delay	Hours	Long-term compliance retention

What to study next

Got this wrong? Here's your next step.

Identify which DP-203 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.

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Use these pages to review the topic behind this question. This is how one missed question becomes focused revision.

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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 — Read the scenario before looking for a memorised answer..

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. — The correct approach is Option B: Use a Copy activity to ingest data from the HTTP source into Azure Blob Storage (staging), 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 cost-effective and maintainable because it separates ingestion and transformation, allows for schema drift, and uses serverless Data Flows. Option A is wrong because Lookup is for reading a single row/value, not for bulk data ingestion; ForEach with insert would be inefficient and costly. Option C is wrong because Data Flows cannot directly read from HTTP sources; they require a dataset that is staged in a supported store like Blob Storage. Option D is wrong because it performs no transformation, so the nested JSON would not be flattened for loading into SQL.

What should I do if I get this DP-203 question wrong?

What is the key concept behind this question?

Read the scenario before looking for a memorised answer.

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