Microsoft Azure Data Fundamentals (DP-900)
Core data concepts and how they're implemented using Microsoft Azure data services.
Industry Recognition
An internationally accepted credential that proves your dedication to upskilling and helps you stand out from peers who hold no formal validation of their expertise.
Path into Azure data roles
DP-900 sits at the base of the Microsoft data career path leading to DP-203 Data Engineer and DP-300 Database Administrator.
Enhanced Career Opportunities
Adding this credential to your profile broadens the range of roles you qualify for and strengthens your standing whenever recruiters compare candidates.
Increased Credibility
A vendor-issued certificate gives clients, managers and peers an objective reason to trust your judgement on the technology you've been certified in.
Increased Trust
Hiring managers and clients actively filter for certified professionals. Holding this credential signals to them that your skills have been independently verified against a defined standard.
Competitive Advantage
When two résumés look similar on paper, a recognised certification is often the deciding factor that moves yours into the shortlist.
Digital Badging
You receive a verifiable digital badge that you can pin to LinkedIn, your résumé, your email signature and personal websites — a one-click proof of competence that recruiters can authenticate instantly.
You save 37%
You save 37%
Related products
Other Microsoft certifications you may like.
Microsoft Azure AI Fundamentals (AI-900)
AI workloads, machine learning principles and AI services on Microsoft Azure for the AI-900 exam.
Microsoft Azure Fundamentals (AZ-900)
Cloud concepts, Azure services, security, privacy, compliance and pricing for the AZ-900 certification.
Microsoft Office Specialist – Excel Expert
MOS Excel Expert certification: advanced Excel including macros, PivotTables and data analysis.
Microsoft Office Specialist – Excel Associate
MOS Excel Associate certification: demonstrate core Excel skills for spreadsheets, charts and data.