Technology, software, data, AI, and cybersecurity
Data scientist
Suite 215 · apt-215-data-scientist. Published A4A vertical slice with guided, mini, full, and reserve banks.
Official sourcesVerification pending
About this practice suite
This suite prepares candidates for data scientist selection in the technology, software, data, ai, and cybersecurity sector with 5 skill areas: numerical reasoning, critical thinking, data interpretation, logical reasoning and abstract reasoning. Every question was written by Novus editors for this suite — none are taken from live or leaked exams — and the full bank holds 52 scored questions across three modes, plus 8 reserve questions used to vary repeat attempts. Answer keys never ship to the browser: your answers are scored server-side, and results stay on your device.
Skills this suite practises
- Numerical reasoning — Arithmetic, fractions, percentages, ratios, rates, estimation, word problems, and number relationships.
- Critical thinking — Evaluating evidence, assumptions, arguments, credibility, and alternative explanations.
- Data interpretation — Tables, charts, graphs, dashboards, trends, comparisons, and evidence-based conclusions.
- Logical reasoning — Conditional logic, syllogisms, ordering, grouping, argument structure, and constraint problems.
- Abstract reasoning — Inferring rules from shapes, symbols, matrices, and non-verbal patterns.
Sample questions from the guided bank
Two of the 10 guided-practice questions, shown exactly as they appear in a session. Answers and explanations are not printed here — keys stay on the server — so open guided practice to answer them and see how you did.
Fitting until training accuracy is near-perfect while validation collapses usually indicates:
- A. Underfitting only
- B. Perfect generalization
- C. Overfitting to training idiosyncrasies
- D. Label noise absence
Train/test leakage occurs when:
- A. You shuffle after splitting correctly
- B. You use a larger GPU
- C. Test labels/information influence training features or fitting
- D. You report confidence intervals
Practice modes and timing
Guided practice is untimed-feeling and instructional; the mini-test is a short timed check; the full simulation mirrors a complete sitting. All three draw on separate question sets, so moving up a mode never repeats what you practised.
| Mode | Questions | Duration | Start |
|---|---|---|---|
| Guided practice | 10 | 15 minutes | Open |
| Timed mini-test | 12 | 18 minutes | Open |
| Full simulation | 30 | 45 minutes | Open |
Study outline
Read the study outline for this suite’s skills, timings, and recommended lessons on one printable page, or download its standalone HTML file. The printable page can also be saved as a PDF from your browser.
- Guided practice
- Timed mini-test
- Full simulation
- Downloads pack
- Build numerical reasoning
- Strengthen critical thinking
- Practice data interpretation