2026-01-28
For every candidate preparing for the CDA certification, three core questions always stand in the way: How to accurately grasp the exam direction? How to efficiently fill knowledge gaps? How to connect theoretical knowledge with practical assessment? Past exam papers are precisely the "golden key" to solving these puzzles.
To further support candidates in scientific and targeted exam preparation, CDA will gradually release selected past exam papers for review and reference starting 2026. This marks a brand-new upgrade in serving candidates and optimizing the exam preparation ecosystem, and fully demonstrates the professional foundation and standardized core of the CDA certification.

CDA certification has always centered on "building a scientific competency evaluation system for digital talents". Its certification standards are jointly formulated by experts, scholars and leading enterprises in the data science field, and revised and updated annually to align with cutting-edge industry demands and technological development trends. As a concrete embodiment of these certification standards, each question in the past exam papers has undergone rigorous proposition demonstration, accurately covering the core examination points and competency requirements of different levels – from basic tool application, business indicator interpretation and data thinking at Level 1, to statistical modeling and data management at Level 2, and further to machine learning and practical project implementation at Level 3, comprehensively assessing candidates' knowledge reserves and practical abilities.
Past exam papers are a direct reflection of CDA's professionalism. By studying these papers, candidates can not only intuitively understand the proposition logic and key examination points of the CDA certification, but also gain insight into the core competency requirements for data talents in the industry through the design ideas behind the questions. Compared with the uneven quality of mock question banks on the market, the official past exam papers released by CDA possess irreplaceable authority and guidance. They can help candidates break away from the misunderstanding of "blindly doing practice questions", accurately lock in key review points, and make exam preparation more targeted and efficient.
One of the core values of the CDA certification lies in establishing a widely recognized standardized evaluation system for data science talents across the society. From knowledge system and practical ability to professional literacy, CDA has built a three-dimensional competency model, and divided it into a three-level stepped certification based on the career development stage, forming a complete growth path from basic execution to strategic decision-making. As an important component of the standardized CDA certification system, past exam papers exactly build a bridge between "learning, assessment and application".
By analyzing past exam papers, candidates can clearly grasp the implementation logic of the CDA standardized system in the examination: Which knowledge points are the core content of frequent examinations? What is the score proportion of different competency modules? How is theoretical knowledge combined with practical business scenarios in the examination? Such information can help candidates sort out their knowledge framework more systematically and targetedly make up for their weak links. This standardized paper-oriented learning enables candidates' knowledge accumulation to be more in line with certification requirements and better adapted to the actual employment standards of enterprises.
The gradual release of past exam papers is a key measure for CDA to directly address candidates' exam preparation pain points and optimize service experience.
For candidates, the value of past exam papers goes far beyond being just "practice questions". On the one hand, they serve as a "touchstone" for learning outcomes – through mock drills, candidates can truly evaluate their mastery of knowledge, timely identify knowledge blind spots and competency deficiencies, thus adjusting their review plans and achieving targeted improvement. On the other hand, past exam papers can help candidates adapt to the exam rhythm in advance, familiarize themselves with the question type distribution and score setting, alleviate exam anxiety, and improve the stability of on-site performance.
From the construction of a professional certification system and the implementation of standardized assessment to the continuous optimization of candidate services, CDA has always held the original aspiration of promoting the standardized development of digital talents. The gradual release of past exam papers is not only a precise response to candidates' exam preparation needs, but also a concentrated embodiment of CDA's professional foundation and service commitment.
May every candidate be empowered by these past exam papers, forge ahead steadily on the path of growing into a digital talent, and embark on a new journey in their professional career!
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