DP-203 Practice Question: Secure, monitor, and optimize data storage and data processing
Your company runs an Azure Data Factory pipeline that copies data from an FTP server to Azure Blob Storage daily. Recently, the pipeline has been failing with the error: 'Failure happened on 'Source' side. ErrorCode=UserErrorFailedFileOperation, Error details: The remote server returned an error: (550) File unavailable (e.g., file not found, no access).' The FTP server administrator confirms that the file exists and the credentials are correct. You need to resolve the issue with minimal administrative effort. What should you do?
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
✓
Check the file path and correct the case sensitivity in the dataset
The error code 550 indicates that the file is not found or access is denied on the FTP server. Since the file exists and credentials are correct, the most likely cause is a case-sensitive file path mismatch. Option C is correct because checking and correcting the case sensitivity in the dataset resolves this. Option A is incorrect because switching to SFTP does not address the case sensitivity issue. Option B is incorrect because resetting credentials is unnecessary when they are already correct. Option D is incorrect because re-uploading the file does not fix the path reference problem.
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 an SFTP connector instead of FTP
Why it's wrong here
Protocol change not needed.
- ✗
Reset the FTP server credentials in the linked service
Why it's wrong here
Credentials are correct.
- ✓
Check the file path and correct the case sensitivity in the dataset
Why this is correct
FTP servers often use case-sensitive paths.
- ✗
Ask the FTP administrator to re-upload the file
Why it's wrong here
File exists.
Visual reference
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 |
Go deeper
Related to this question
Learn chapter
Introduction to Azure Data Engineering
Key term
Azure Data Factory
Azure Data Factory is a cloud-based data integration service that lets you create, schedule, and orchestrate data pipelines to move and transform data from various sources to destinations.
Key term
Data Transformation Pipelines
Data transformation pipelines are automated sequences of steps that take raw data from a source, clean and reshape it into a usable format, and then load it into a destination for analysis or storage.
About these practice questions
Courseiva writes every DP-203 question from scratch — 760 in total, each with an explanation and a wrong-answer breakdown. None are copied from real exams or dumps. Learn why practice questions differ from exam dumps →
JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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.