Last update：November 15, 2025

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Overview

Candidates are required to be familiar with the basic operations of FineDataLink including theoretical knowledge of data development, data pipeline, data service, and system/task operations.

The exam consists of objective questions such as single-choice and multiple-choice questions. Candidates may take the exam at any time upon registration, and results will be issued immediately after passing.

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Target Candidates

Data Engineer

Exam Format

🕰 Exam Duration

45 minutes

🌍 Supported Languages

English / Traditional Chinese

💵 Exam Fee

Free

Scoring Method

On-demand exam availability with automated scoring. Results are available immediately upon submission.

Exam Results

Certification exam results are classified as Pass or Fail. Scoring is based on standards established by Fanruan professionals in accordance with certification industry best practices and guidelines.

Question Types and Quantity

Single-choice questions

One correct answer and three incorrect answers (distractors).

Multiple-choice questions

Two or more correct answers among four or more answer options. Partial selections, incorrect selections, and unanswered questions all receive no credit.

Exam Syllabus

Product Fundamentals and Use Cases

Data and Knowledge Configuration

Model Setup and Agent Building

Skills and Task Execution

Understand how to select and use skills for specific business needs.

• Data querying, analysis, and chart visualization.
• Research and analysis skills.
• Report and slide creation.
• Custom skill packages and skill imports.
• Scheduled tasks and chat subscriptions.

Conversations, Resources, and Integrations

Understand how users interact with agents and work with generated results.

• New conversations, follow-up questions, and context handling.
• File uploads, references, and resource management.
• Viewing, sharing, and downloading generated content.
• Publishing agents to supported channels.
• IM integrations and user mapping.

Permissions, Monitoring, and Continuous Improvement

Understand the foundations of managing agents and improving their effectiveness.

• Developer and viewer roles and permissions.
• User management and data access control.
• Usage monitoring, chat records, execution details, and supervision logs.
• Basic token consumption concepts.
• Test case preparation, pilot use, and feedback collection.
• Optimization of data, system prompts, and knowledge.
• Evaluation of adoption, efficiency, and business value.

Recommended Resources

Beginner-friendly onboarding videos for foundational operation learning.

Connect with Data Engineer, BI developers, and AI practitioners worldwide. Get support, share knowledge, and grow your career.

Official documentation with structured learning content.