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Common module for every IT job track — bank, BSCS, government, Teletalk

AI & Machine Learning Exam Module

Concepts · Formulas · Worked examples · Diagrams · Solved past questions · MCQ

Compiled: November 2026 · Based on actual questions from 2026 papers

  • Assistant Programmer
  • Officer (IT)
  • Senior Officer (IT)
  • AME / AE (IT)
  • Teletalk AM (Technical)

Chapters

About this exam

0.1Why a separate AI module

Until 2025, AI appeared in these exams as one or two general MCQs. In 2026 it became a full subject: the BSCS AP paper of 31.10.2026 had four 10-mark written questions on modern AI (NLP, generative AI/LLM, agentic AI with MCP, RAG), the AP paper of 17.01.2026 had two (A* search; supervised vs unsupervised vs reinforcement learning), and the 2026 screening MCQ paper (Set-3) asked about ensembles, hyperparameters, the dummy classifier, bias–variance and K-means. Every IT track now needs the same core, so it is collected here once instead of being spread over the other books.

ExamFormatAI/ML questionsWhere solved here
BSCS AP 31.10.2026 (Job ID-25106)Written, 10 marks eachNLP; Generative AI & LLMs; agentic AI, MCP, agent harness; RAG & vector databaseCh 5, Ch 6
BSCS AP 17.01.2026Written, 10 marks eachHeuristic (A*) vs blind (BFS) search; supervised vs unsupervised vs reinforcement learningCh 1, Ch 2
Screening MCQ 2026, Set-3MCQ, −0.50Ensemble (AdaBoost), hyperparameter, dummy classifier (Zero-R), ChatGPT, deep-learning model, bias/variance from accuracies, K-meansCh 2, Ch 3, Ch 4, Ch 5
Officer (IT) 2026 (25105), Officer IT MCQ 2026 (BIBM)MCQReLU activation; Transformer as the core of LLMsCh 4
BSCS AME/AE 24.01.2026Written analysis"Data is the new compute in today's AI era"Ch 6

0.2What to read for your track

TrackMust readThen
Assistant Programmer (BSCS / bank)Ch 2, 5, 6 (written questions come from here)Ch 1 (search), Ch 3, Ch 4
Officer / Senior Officer (IT), SO (IT)Ch 2, 3, 4 (MCQ-heavy)Ch 5, 6
AME / AE (IT)Ch 4, 6 (hardware, data, responsible AI)Ch 2
Teletalk AM (Technical)Ch 2, 4 (AI in networks: anomaly detection, forecasting)Ch 5, 6
How to write a 10-mark AI answer Definition (1–2 lines) → a labelled diagram (pipeline, architecture or loop) → 4–6 key points or steps, each with one line of explanation → a comparison table where it fits (e.g. RAG vs fine-tuning) → one Bangladesh banking/government example → advantages and challenges → a one-line conclusion. Examiners reward structure and correct terms more than length.

0.3Seven-day plan

DayStudyPractise
1Ch 1 — agents, BFS/DFS/A*Trace A* on the worked graph by hand
2Ch 2 — learning types, bias–variance, metricsConfusion-matrix calculations
3Ch 3 — algorithms and ensemblesEntropy/information gain, K-means iteration
4Ch 4 — neural networks, CNN, TransformerCNN output-size formula, activation MCQs
5Ch 5 — NLP and LLMsWrite the AP 31.10.2026 NLP and LLM answers from memory
6Ch 6 — RAG, agents, MCPDraw the RAG pipeline and the MCP host–client–server diagram
7All MCQ practice sectionsWebsite: Subject-wise exam → "AI & ML"

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