TensorFlow Developer Certificate — Free Online Mock Test
Google's TensorFlow Developer Certificate. 5 hands-on practical problems in 5 hours via PyCharm. Covers neural networks, CNNs, NLP, time series. · Official language: English.
TensorFlow Developer exam at a glance
TensorFlow Developer full-length mock tests
Attempt 50 full-length TensorFlow Developer mock tests, each a distinct question set built on the real 45-question, 300-minute pattern — with instant scoring and section-wise analysis. The first 3 are free.
TensorFlow Developer key facts & eligibility
| Conducting body | Google / TensorFlow |
|---|---|
| Official website | tensorflow.org ↗ |
| Mode | IMPORTANT: the TensorFlow Developer Certificate exam has been discontinued — the last day to take it was 31 May 2024, and no new registrations are possible. Previously earned certificates remain valid for three years. Google has said it is evaluating future TensorFlow certification options but has not announced a replacement. |
| Scoring & marking | Historically the exam was a roughly five-hour practical test taken inside a PyCharm plugin, in which candidates built and trained TensorFlow models across tasks such as basic modelling, image classification (including convolutional networks), natural language processing, and time-series/sequence forecasting. Because the program is closed, use its former scope only to guide learning TensorFlow and Keras — there is currently no official TensorFlow certification to sit. |
| Score validity | Not applicable for new candidates; previously earned certificates are valid for three years. |
| Language | English. |
Who is eligible for TensorFlow Developer?
Historically open to anyone; aimed at developers using TensorFlow/Keras for machine learning.
Last verified July 2026 against TensorFlow Certificate. Always confirm current details on the official website before you register.
TensorFlow Developer section breakdown
The TensorFlow Developer mock test on Wrexa Edge replicates the real exam's section structure — same names, same question count per section, same time limits. No inter-section breaks — the timer runs continuously.
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TF Developer (45 Q)
TensorFlow Developer scoring & marking scheme
Strategy: TensorFlow Developer has no negative marking. Attempt every question — blank answers cost you potential marks but cannot pull your score down.
Scale: TF Developer (pass).
How TensorFlow Developer is conducted
- Mode
- Test format
- Backtracking
- Mark for review
TensorFlow Developer time strategy
With 45 questions in 300 minutes, you have about 400 seconds per question on average. Successful candidates aim for the following pacing on each section:
- TF Developer (45 Q)
Wrexa Edge's analytics show your actual time-per-question after every mock so you can spot which sections you're losing time on.
TensorFlow Developer topics covered
Across the 50 Wrexa Edge variants of TensorFlow Developer, the following topics appear most often (sample distribution from one variant):
TF Developer (45 Q)
- ML — Recall · 1
- ML — F1 · 1
- ML — AUC-ROC · 1
- ML — Macro Average · 1
- ML — RMSE · 1
- DL — Activations · 1
- DL — Vanishing Gradients · 1
- DL — Batch Norm · 1
TensorFlow Developer difficulty calibration
Advanced tier. Advanced-level: high-stakes exam with rigorous content depth. Expect 4-8 months of structured prep.
Google's TensorFlow Developer Certificate. 5 hands-on practical problems in 5 hours via PyCharm. Covers neural networks, CNNs, NLP, time series. · Official language: English.
Verified content — Wrexa Edge's TensorFlow Developer bank has been deeply curated with real exam-aligned content (estimated 100% syllabus coverage).
How Wrexa Edge prepares you for TensorFlow Developer
- Real test-day interface
- 50 distinct variants
- Detailed analytics
- Spaced repetition (Notebook)
- Optional proctoring
- Free to start
TensorFlow Developer study plan
A phase-by-phase roadmap from your first concept to test-ready. Stretch or compress each phase to fit the time you have before your attempt.
- The TensorFlow Developer Certificate is no longer offered
- Use its former scope to guide learning TensorFlow/Keras
- Watch for any future TensorFlow certification announcement
- Build basic models, then CNNs for image classification
- NLP with embeddings and RNNs
- Time-series and sequence forecasting
- Ship real TensorFlow projects to a portfolio
- Deepen with Géron’s book and TF tutorials
- Consider PyTorch too, given industry trends
Where TensorFlow Developer can take you
A strong TensorFlow Developer result opens up these careers and higher-study paths:
- Machine-learning skills
- ML engineering roles
- Portfolio over certificate
- Foundation for AI work
Best books & official prep for TensorFlow Developer
- Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow — Aurélien Géron
- TensorFlow tutorials & Keras documentation — Google / TensorFlow
Official practice: The certificate is retired — focus on genuinely learning TensorFlow/Keras by building image, text and time-series models; watch for any future TensorFlow certification announcement.
Previous-year papers: No exam is currently offered; practise by building real TensorFlow projects.
Frequently asked questions
- What is the TensorFlow Developer exam pattern?
- TensorFlow Developer Certificate contains 45 questions across 1 section: TF Developer (45 Q). Total duration is 300 minutes (about 400 seconds per question).
- Does TensorFlow Developer have negative marking?
- No — TensorFlow Developer has no negative marking. Each correct answer is worth 1 mark, so attempt every question.
- How is TensorFlow Developer scored?
- Scaled score range: 100 to 1000. TF Developer (pass).
- How can I practise TensorFlow Developer online for free?
- Wrexa Edge gives you 3 free full-length TensorFlow Developer mock tests — with instant scoring, detailed explanations and analytics — plus 47 more with Pro. Start practising in under a minute, no card required.
- What is the difficulty level of TensorFlow Developer?
- TensorFlow Developer is rated Advanced difficulty on Wrexa Edge. Advanced-level: high-stakes exam with rigorous content depth. Expect 4-8 months of structured prep. Google's TensorFlow Developer Certificate. 5 hands-on practical problems in 5 hours via PyCharm. Covers neural networks, CNNs, NLP, time series. · Official language: English.
- How long is the TensorFlow Developer exam?
- TensorFlow Developer runs for 300 minutes total. On Wrexa Edge the timer is enforced exactly as on the real exam — including no inter-section breaks.
- What topics are covered in TensorFlow Developer?
- TensorFlow Developer is split into: TF Developer (45 Q). Each section is timed and weighted separately. Google's TensorFlow Developer Certificate. 5 hands-on practical problems in 5 hours via PyCharm. Covers neural networks, CNNs, NLP, time series. · Official language: English.
- What tools or aids are allowed during TensorFlow Developer?
- No special tools are required. Note: real exam is proctored — Wrexa Edge mirrors this with a webcam-based proctoring flow you can enable.
- Is the TensorFlow Developer test adaptive?
- No — TensorFlow Developer is a fixed-form (linear) test. Every candidate sees the same number of questions per section.
- How many TensorFlow Developer mock tests does Wrexa Edge offer?
- Wrexa Edge generates 50 distinct TensorFlow Developer variants — each with different question content, not just shuffled options — the first 3 free for everyone and 47 more with Pro. That's 2250 unique practice questions in the real test-day interface.
- Is there a free TensorFlow Developer test series 2026?
- Yes. The Wrexa Edge TensorFlow Developer test series for 2026 gives you 3 free full-length mock tests (50 in total) plus subject-wise and topic-wise tests — instant scoring and detailed analysis, no card required.
- Are TensorFlow Developer previous year question–style papers included?
- Every TensorFlow Developer mock is modelled on the official exam pattern and the style of previous years' papers — the same 45-question structure, sections and marking — so your practice mirrors the real paper you'll sit.
- Which is the best free TensorFlow Developer mock test online?
- Wrexa Edge's TensorFlow Developer mock test replicates the real exam interface, timing and marking scheme, with instant score, section-wise analysis and 50 fresh variants — a strong free choice for 2026 preparation.
- Can I take the TensorFlow Developer mock test on mobile?
- Yes. TensorFlow Developer mock tests run in any browser on mobile, tablet or desktop — no app or download needed. Start on your phone and your progress and analytics sync when you sign in.
- What is the TensorFlow Developer syllabus?
- The TensorFlow Developer syllabus maps to its 1 section: TF Developer (45 Q). Wrexa Edge's mock tests cover the complete syllabus topic by topic — see the topics-covered breakdown above — so you practise every area at real exam difficulty.
- What is the eligibility for TensorFlow Developer?
- Historically open to anyone; aimed at developers using TensorFlow/Keras for machine learning. Wrexa Edge focuses on realistic TensorFlow Developer practice: 3 free full-length mocks in the exact exam pattern, ready whenever you are.
- When is the TensorFlow Developer exam and how should I prepare?
- Official TensorFlow Developer exam dates are announced by the conducting body for each cycle — check the latest notification for the current schedule. To be ready, follow a phased study plan and take full-length timed mocks; Wrexa Edge gives you 3 free TensorFlow Developer mocks with instant scoring so you can track your readiness week by week.
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