The answer is that the dataset is configured with a specific file name, but the data is partitioned across multiple folders, so you should use a wildcard pattern in the folderPath. This is correct because when a copy activity uses a dataset with a fixed fileName property like 'sales_orders.parquet', Azure Data Factory searches for that exact file at the root path. If the data is actually stored in a partitioned folder structure—such as 'sales_orders/year=2024/month=01/' with multiple Parquet files inside—the engine finds no file at the specified location, triggering the "file not found" error. On the DP-203 exam, this scenario tests your understanding of how partitioned data interacts with copy activity source configuration; a common trap is assuming a single file name works for partitioned datasets. The fix is to set fileName to '*' or use a wildcard like '*.parquet' in folderPath to read all files across subfolders. Memory tip: think "partitioned path, wildcard path"—if your data is split into folders, your source path must match the pattern, not a single file.
DP-203 Develop data processing Practice Question
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.
Refer to the exhibit. You have an Azure Data Factory dataset definition for a Parquet file stored in Azure Data Lake Storage Gen2. You attempt to use this dataset as a source in a copy activity, but the copy activity fails with an error indicating that the file is not found. The file 'sales_orders.parquet' exists at the specified path. What is the most likely cause of the error?
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.
The dataset is configured with a specific file name, but the data is partitioned across multiple folders; you should use a wildcard pattern in the folderPath.
While the exhibit shows a single file, the error suggests the file is not found, likely because the dataset expects a different path structure. Using wildcards would allow the copy activity to find the file within the partition structure.
B
The compression codec 'snappy' is not supported for Parquet files.
Why wrong: Snappy is a commonly used compression codec for Parquet.
C
The dataset type should be 'AzureBlobStorageLocation' instead of 'AzureBlobFSLocation'.
Why wrong: AzureBlobFSLocation is correct for ADLS Gen2.
D
The linked service 'ADLSGen2' is not properly configured with the storage account key.
Why wrong: The error message indicates file not found, not authentication failure.
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
The dataset is configured with a specific file name, but the data is partitioned across multiple folders; you should use a wildcard pattern in the folderPath.
Option A is correct because the dataset definition specifies a single file name ('sales_orders.parquet') in the 'fileName' property, but the actual data is likely stored across multiple Parquet files in a partitioned folder structure (e.g., 'sales_orders/year=2024/month=01/'). When a copy activity uses this dataset as a source, Azure Data Factory looks for the exact file name at the specified path, not finding any file because the data is spread across subfolders. Using a wildcard pattern (e.g., '*.parquet') in the 'folderPath' or setting 'fileName' to '*' allows the copy activity to read all Parquet files in the folder, resolving the 'file not found' error.
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.
✓
The dataset is configured with a specific file name, but the data is partitioned across multiple folders; you should use a wildcard pattern in the folderPath.
Why this is correct
While the exhibit shows a single file, the error suggests the file is not found, likely because the dataset expects a different path structure. Using wildcards would allow the copy activity to find the file within the partition structure.
Clue confirmation
The clue word "most likely" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
✗
The compression codec 'snappy' is not supported for Parquet files.
Why it's wrong here
Snappy is a commonly used compression codec for Parquet.
✗
The dataset type should be 'AzureBlobStorageLocation' instead of 'AzureBlobFSLocation'.
Why it's wrong here
AzureBlobFSLocation is correct for ADLS Gen2.
✗
The linked service 'ADLSGen2' is not properly configured with the storage account key.
Why it's wrong here
The error message indicates file not found, not authentication failure.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often assume the error is due to authentication or configuration issues (like linked service keys or location types) rather than recognizing that the dataset's explicit file name prevents ADF from scanning subdirectories for partitioned files.
Detailed technical explanation
How to think about this question
Under the hood, Azure Data Factory's copy activity resolves the dataset's 'folderPath' and 'fileName' properties to construct a fully qualified path (e.g., 'https://<storage>.dfs.core.windows.net/<container>/<folderPath>/<fileName>'). When 'fileName' is specified, ADF performs a direct file lookup; if the file is not present at that exact path, it throws a 'file not found' error. In real-world scenarios, data lakes often use Hive-style partitioning (e.g., 'year=2024/month=01/') to optimize query performance, and using wildcard patterns in the dataset or enabling 'preserve hierarchy' in the copy activity is essential for reading such partitioned data.
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
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.
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: The dataset is configured with a specific file name, but the data is partitioned across multiple folders; you should use a wildcard pattern in the folderPath. — Option A is correct because the dataset definition specifies a single file name ('sales_orders.parquet') in the 'fileName' property, but the actual data is likely stored across multiple Parquet files in a partitioned folder structure (e.g., 'sales_orders/year=2024/month=01/'). When a copy activity uses this dataset as a source, Azure Data Factory looks for the exact file name at the specified path, not finding any file because the data is spread across subfolders. Using a wildcard pattern (e.g., '*.parquet') in the 'folderPath' or setting 'fileName' to '*' allows the copy activity to read all Parquet files in the folder, resolving the 'file not found' error.
What should I do if I get this DP-203 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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?
Read the scenario before looking for a memorised answer.
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