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Design and implement data storage →mediumMultiple ChoiceObjective-mapped

Quick Answer

The correct answer is that the copy activity will skip the CSV file and continue copying the other Parquet files. This happens because Azure Data Factory’s Copy Activity evaluates the file pattern filter—such as *.parquet—at the source before attempting to read any file. If a file does not match the specified format filter, ADF simply ignores it by design, preventing unnecessary failures and allowing flexible file selection within a folder. On the Microsoft Azure Data Engineer Associate DP-203 exam, this scenario tests your understanding of how wildcard paths and dataset filters control file ingestion, often appearing as a trap where candidates assume a non-matching file would cause an error. A common memory tip is to think of the filter as a bouncer at a door: if the file doesn’t show the right “ID” (the .parquet extension), it’s left outside without disrupting the party inside.

DP-203 Design and implement data storage Practice Question

This DP-203 practice question tests your understanding of design and implement data storage. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. 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.

Exhibit

Refer to the exhibit.

```json
{
  "data": [
    {
      "name": "order_data",
      "path": "orders/*.parquet",
      "partitionBy": ["year", "month", "day"],
      "format": "parquet",
      "options": {
        "compression": "snappy"
      }
    }
  ],
  "source": {
    "provider": "AzureDataLakeStorage",
    "connectionString": "DefaultEndpointsProtocol=https;AccountName=storagedatalake;AccountKey=...;EndpointSuffix=core.windows.net",
    "container": "data"
  },
  "sink": {
    "provider": "AzureSynapseAnalytics",
    "table": "dbo.orders",
    "staging": {
      "linkedServiceName": "AzureDataLakeStorage",
      "folderPath": "staging"
    }
  },
  "copyBehavior": "MergeFiles",
  "faultTolerance": {
    "skipIncompatibleFiles": true,
    "skipIncompatibleRows": true
  }
}
```

You are reviewing a copy job configuration in Azure Data Factory that copies Parquet files from Azure Data Lake Storage Gen2 to Azure Synapse Analytics. The exhibit shows the job settings. If the source folder contains a file that is not in Parquet format (e.g., a CSV file), what will happen?

Question 1mediummultiple choice
Full question →

Exhibit

Refer to the exhibit.

```json
{
  "data": [
    {
      "name": "order_data",
      "path": "orders/*.parquet",
      "partitionBy": ["year", "month", "day"],
      "format": "parquet",
      "options": {
        "compression": "snappy"
      }
    }
  ],
  "source": {
    "provider": "AzureDataLakeStorage",
    "connectionString": "DefaultEndpointsProtocol=https;AccountName=storagedatalake;AccountKey=...;EndpointSuffix=core.windows.net",
    "container": "data"
  },
  "sink": {
    "provider": "AzureSynapseAnalytics",
    "table": "dbo.orders",
    "staging": {
      "linkedServiceName": "AzureDataLakeStorage",
      "folderPath": "staging"
    }
  },
  "copyBehavior": "MergeFiles",
  "faultTolerance": {
    "skipIncompatibleFiles": true,
    "skipIncompatibleRows": true
  }
}
```

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

✓

The copy job will skip the CSV file and continue copying other Parquet files.

When using Azure Data Factory's Copy Activity with a wildcard file path or a dataset that filters for Parquet files (e.g., *.parquet), the service evaluates the file pattern before attempting to read the file. If a CSV file is present in the same folder but does not match the Parquet filter, ADF simply ignores it and continues processing only the matching Parquet files. This behavior is by design to allow flexible file selection without causing failures.

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 copy job will skip the CSV file and stop.

    Why it's wrong here

    It continues with other files.

  • ✗

    The copy job will fail with an error.

    Why it's wrong here

    skipIncompatibleFiles is true, so it skips.

  • ✓

    The copy job will skip the CSV file and continue copying other Parquet files.

    Why this is correct

    skipIncompatibleFiles=true causes skipping non-Parquet files.

    Related concept

    Read the scenario before looking for a memorised answer.

  • ✗

    The copy job will attempt to read the CSV file as Parquet and may produce corrupt data.

    Why it's wrong here

    It skips incompatible files entirely.

Common exam traps

Common exam trap: answer the scenario, not the keyword

The trap here is that candidates assume ADF will attempt to read all files in a folder regardless of extension, leading them to choose Option D (corrupt data) or Option B (failure), when in fact ADF respects the file pattern filter and silently skips non-matching files.

Detailed technical explanation

How to think about this question

Under the hood, Azure Data Factory's Copy Activity uses file path patterns (e.g., *.parquet) to enumerate files from the source. The service lists files in the folder and applies the pattern filter at the storage API level (Azure Blob/ADLS Gen2 REST API) before any data is read. This means non-matching files are never opened or parsed, avoiding any risk of corruption or format mismatch. In real-world scenarios, this allows you to stage multiple file types in the same directory (e.g., logs, metadata) without interfering with your Parquet ingestion pipeline.

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.

What to study next

Got this wrong? Here's your next step.

Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.

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FAQ

Questions learners often ask

What does this DP-203 question test?

Design and implement data storage — This question tests Design and implement data storage — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: The copy job will skip the CSV file and continue copying other Parquet files. — When using Azure Data Factory's Copy Activity with a wildcard file path or a dataset that filters for Parquet files (e.g., *.parquet), the service evaluates the file pattern before attempting to read the file. If a CSV file is present in the same folder but does not match the Parquet filter, ADF simply ignores it and continues processing only the matching Parquet files. This behavior is by design to allow flexible file selection without causing failures.

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.

What is the key concept behind this question?

Read the scenario before looking for a memorised answer.

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Last reviewed: Jun 11, 2026

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This DP-203 practice question is part of Courseiva's free Microsoft certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the DP-203 exam.