AWS retired ML Specialty (March 2026) and replaced it with ML Engineer Associate and Data Engineer Associate. Azure DP-900 Data Fundamentals updates July 21, 2026. If you prepared for an older exam, your materials may have gaps. Take 30 questions, get an instant readiness score, and find out exactly what needs work before you book your exam.
The data science certification landscape shifted in 2026: AWS discontinued the ML Specialty exam (last sitting March 31, 2026), pushing candidates toward the new AWS Machine Learning Engineer Associate (MLA-C01) and AWS Data Engineer Associate (DEA-C01). Azure DP-900 Data Fundamentals is also updating its objective set on July 21, 2026. This readiness check covers the skills tested across all three — ML engineering pipelines, cloud data architecture, statistical fundamentals, and model evaluation — so you know whether your current prep transfers or has gaps. Score below 70? The AI Report ($19) maps your weak areas to a 14-day study plan aligned to the updated 2026 exam objectives.
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AWS retired the Machine Learning Specialty (MLS-C01) with the last exam sitting on March 31, 2026. It was replaced by two role-based exams: ML Engineer Associate (MLA-C01), focused on deploying and operating ML solutions, and Data Engineer Associate (DEA-C01), focused on data pipelines and lake architecture. If you were studying for ML Specialty, most core concepts transfer but the framing and service coverage differ.
Microsoft is updating the DP-900 Data Fundamentals objective set effective July 21, 2026 with expanded coverage of real-time analytics, Fabric, and AI-integrated data workloads. Candidates using pre-July study materials may find gaps in these areas. This readiness check includes questions aligned to the updated objectives.
The full test (Hard mode) has 30 questions across 7 domains covering ML pipelines, cloud data platforms, statistics, and model evaluation. Easy mode focuses on foundational concepts; Hard mode adds architecture trade-offs and exam-specific question styles.
A score of 85–100 places you in the Exam Ready band. 70–84 is Almost Ready — targeted study on your weak domains should close the gap in 1–2 weeks. Below 70, the AI Report ($19) identifies exactly which 2026 exam objectives to prioritise and builds a personalised 14-day study plan.
Yes. Statistics, model evaluation, and data wrangling questions are relevant to both technical interviews and certification exams. The cloud platform sections (SageMaker, Redshift, DP-900) are certification-specific.
Completely free — no account or credit card required. After the test you can optionally purchase the AI Report ($19) for a personalised study plan mapped to your weak areas and the 2026 exam objectives.
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