DP-700 Ingest and Transform Data Practice Question
Exhibit
{
"activity": "Notebook",
"error": "PySparkException: [SESSION_NOT_FOUND]",
"remediation": "Check cluster availability"
}Refer to the exhibit. You are running a Fabric Notebook. What is the most likely cause of the error shown?
⚠ Common exam trap
Candidates often assume the error indicates a code bug or a missing library, failing to recognize the session management lifecycle that frequently causes timeouts in idle notebooks.
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 Spark session has timed out
The 'SESSION_NOT_FOUND' error occurs when the Spark session assigned to the notebook has timed out or been terminated while the job was waiting to execute. This is common if there is a long wait time for resource allocation or if the cluster was idle for too long. Checking the cluster availability and workspace capacity settings is essential to ensure resources are available for the Spark job.
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 Python code has a syntax error
Why it's wrong here
Syntax errors would result in a 'ParseError' or 'SyntaxError' in the execution logs. A session error is strictly related to the infrastructure management of the Spark cluster. Confusing syntax issues with infrastructure errors leads to wasting time debugging code when the issue is actually related to resource allocation.
- ✓
The Spark session has timed out
Why this is correct
The session error specifically indicates that the connection to the Spark compute resource was lost or expired. This is a common occurrence in shared environments where compute resources are managed dynamically. Verifying cluster availability and active session limits will typically reveal why the notebook could not initialize.
- ✗
The notebook is missing a library
Why it's wrong here
Missing libraries trigger 'ModuleNotFoundError' or 'ImportError' messages. These are application-level errors, not infrastructure-level session errors. Distinguishing between code-level failures and cluster-level connectivity failures is critical for efficient troubleshooting in Fabric notebooks, as the remediation steps for each are completely different.
- ✗
The Lakehouse path is incorrect
Why it's wrong here
Incorrect paths result in 'FileNotFoundError' or similar storage-specific exceptions. The error code 'SESSION_NOT_FOUND' refers specifically to the Spark compute session management layer. The notebook is unable to even start the processing environment, so storage path validation is not the relevant concern at this stage.
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JA
Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed September 2026 · checked against the official Microsoft exam blueprint
This DP-700 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-700 exam.