Tuesday, August 4, 2026

Sri Lankan G.C.E. A/L ICT Tamil Medium complete notes for Competency 1.2. Covers Decision Making, Manual vs ICT, Internet vs WWW, Mobile Computing, Cloud Computing, and Exam Q&A

ЁЯТ╗ G.C.E. A/L ICT (родрооிро┤் роКроЯроХроо்)

Competency 1.2: родро░ро╡ு рооро▒்ро▒ுроо் родроХро╡ро▓ை роЙро░ுро╡ாроХ்роХ, рокро░рок்рок, роиிро░்ро╡роХிроХ்роХ родொро┤ிро▓்роиுроЯ்рокрод்родிрой் родேро╡ை

ЁЯУМ роЗрои்родрок் рокாроЯрод்родிрой் роиோроХ்роХроо்: роиро╡ீрой роЪрооூроХрод்родிро▓் роЙро░ுро╡ாроХுроо் рооிроХрок்рокெро░ிроп роЕро│ро╡ிро▓ாрой родро░ро╡ை, роЙро░ுро╡ாроХ்роХ, роЪெропро▓ாроХ்роХ, роЪேрооிроХ்роХ, рооீроЯ்роЯெроЯுроХ்роХ, рокроХிро░்рои்родு, роиிро░்ро╡роХிроХ்роХ ICT роОро╡்ро╡ாро▒ு роЙродро╡ுроХிро▒родு роОрой்рокродை Theory, Examples, рооро▒்ро▒ுроо் Question & Answer ро╡роЯிро╡ிро▓் роОро│ிрооைропாроХроХ் роХро▒்ро▒ுроХ்роХொро│்ро│ро▓ாроо்.
1. Decision Making

рооுроЯிро╡ெроЯுрод்родро▓்

ро╡ро░ைропро▒ை: роХிроЯைроХ்роХроХ்роХூроЯிроп родроХро╡ро▓்роХро│ைрок் рокропрой்рокроЯுрод்родி рокро▓்ро╡ேро▒ு родெро░ிро╡ுроХро│ிро▓் роЗро░ுрои்родு рооிроХро╡ுроо் рокொро░ுрод்родрооாрой родெро░ிро╡ைрод் родேро░்рои்родெроЯுроХ்роХுроо் роЪெропро▓்рооுро▒ை.

роЙродாро░рогроо்: Supermarket ро╡ிро▒்рокройைрод் родро░ро╡ைрок் рокроХுрок்рокாроп்ро╡ு роЪெроп்родு, рооро┤ைроХ்роХாро▓род்родிро▒்роХு рооுрой்рокு роЕродிроХ роХுроЯைроХро│ை ро╡ாроЩ்роХி роЪேрооிроХ்роХ рооுроЯிро╡ெроЯுрод்родро▓்.

Flow: Data → Processing → Information → Decision

2. Policy Making

роХொро│்роХை роЙро░ுро╡ாроХ்роХுродро▓்

ро╡ро░ைропро▒ை: родроХро╡ро▓்роХро│் рооро▒்ро▒ுроо் роЖродாро░роЩ்роХро│ிрой் роЕроЯிрок்рокроЯைропிро▓் ро╡ிродிрооுро▒ைроХро│், родிроЯ்роЯроЩ்роХро│் роЕро▓்ро▓родு ро╡ро┤ிроХாроЯ்роЯுродро▓்роХро│ை роЙро░ுро╡ாроХ்роХுродро▓்.

роЙродாро░рогроо்: рокாроЯроЪாро▓ை ро╡ро░ுроХைрод் родро░ро╡ைрок் рокроХுрок்рокாроп்ро╡ு роЪெроп்родு, ро╡ро░ுроХைропை роЕродிроХро░ிроХ்роХ рокுродிроп роХொро│்роХைропை роЙро░ுро╡ாроХ்роХுродро▓்.

3. Predictions

роОродிро░்ро╡ுроХூро▒ро▓் / роХрогிрод்родро▓்

ро╡ро░ைропро▒ை: роПро▒்роХройро╡ே роХிроЯைрод்род родро░ро╡ு рооро▒்ро▒ுроо் родроХро╡ро▓்роХро│ைрок் рокропрой்рокроЯுрод்родி роОродிро░்роХாро▓род்родிро▓் роироЯைрокெро▒роХ்роХூроЯிроп роиிроХро┤்ро╡ுроХро│ை роХрогிрод்родро▓்.

роЙродாро░рогроо்: ро╡ெрок்рокроиிро▓ை, роИро░рок்рокродроо், Satellite data роЖроХிропро╡ро▒்ро▒ைрок் рокропрой்рокроЯுрод்родி ро╡ாройிро▓ைропை роХрогிрод்родро▓்.

4. Planning, Scheduling & Monitoring

родிроЯ்роЯрооிроЯро▓், роХாро▓ роЕроЯ்роЯро╡рогைропிроЯро▓் рооро▒்ро▒ுроо் роХрог்роХாрогிрод்родро▓்

роХро░ுрод்родுрокொро░ுро│்роЙродாро░рогроо்
PlanningроОрой்рой / роОро╡்ро╡ாро▒ு роЪெроп்роп ро╡ேрог்роЯுроо்Software Project Plan
SchedulingроОрок்рокோродு роЪெроп்роп ро╡ேрог்роЯுроо்Project Timetable
Monitoringрооுрой்ройேро▒்ро▒род்родைроЪ் роЪро░ிрокாро░்род்родро▓்Project Progress (70% vs 55%)
I & D

Inconsistency & Duplication

Data Inconsistency (рооுро░рог்рокாроЯு): роТро░ே родро░ро╡ு ро╡ெро╡்ро╡ேро▒ு роЗроЯроЩ்роХро│ிро▓் ро╡ெро╡்ро╡ேро▒ு роородிрок்рокுроХро│ைроХ் роХொрог்роЯிро░ுрок்рокродு (роО.роХா: "25 Main St." vs "25 Main Road").

Data Duplication (роироХро▓ாроХ்роХроо்): роТро░ே родро░ро╡ை родேро╡ைропிро▓்ро▓ாрооро▓் рокро▓ роЗроЯроЩ்роХро│ிро▓் (Admission, Library, Exam Registers) роЪேрооிрок்рокродு. роЗродு Storage-роР ро╡ீрогாроХ்роХி, Update роЪெроп்ро╡родைроХ் роХроЯிройрооாроХ்роХுроо்.

E & D

Human Errors & Delay

Human Errors: Typing, Calculation, Copying родро╡ро▒ுроХро│். роХрогிройி роЗродைроХ் роХுро▒ைроХ்роХுроо், роЖройாро▓் GIGO (Garbage In, Garbage Out) роОрой்рокродை роиிройைро╡ிро▓் роХொро│்роХ.

Delay: 5,000 рооாрогро╡ро░்роХро│ிрой் marks-роР роХைропாро▓் роХூроЯ்роЯி, sort роЪெроп்родு, rank роЪெроп்ро╡родு рооிроХ роЕродிроХ роиேро░роо் роОроЯுроХ்роХுроо்.

S, C & Danger

Sharing, Customer Service & Safety

  • Sharing: Paper-based info-роР ро╡ிро░ைро╡ாроХ рокроХிро░்ро╡родு роХроЯிройроо்.
  • Customer Service: ро╡роЩ்роХிропிро▓் Paper file родேроЯி Balance роЪொро▓்ро▓ роЕродிроХ роиேро░роо் роЖроХுроо்.
  • Dangerous Work: Nuclear, Space, Deep Sea, Chemical родொро┤ிро▓்роХро│ிро▓் рооройிродро░்роХро│் роиேро░роЯிропாроХ роИроЯுрокроЯுро╡родு роЖрокрод்родாройродு. роЗроЩ்роХு Robots/Automation рокропрой்рокроЯுрод்родрок்рокроЯுроХிро▒родு.
ЁЯОп роиிройைро╡ிро▓் роХொро│்ро│ுроЩ்роХро│் (Manual Problems): I-D-E-D-S
Inconsistency | Duplication | Errors | Delay | Sharing Difficulties
ICT родீро░்ро╡ுроХро│்

ICT роОро╡்ро╡ாро▒ு Manual рокிро░роЪ்роЪிройைроХро│ைрод் родீро░்роХ்роХிро▒родு?

  • Slow processing → High-speed processing
  • Data duplication → Centralized Database systems
  • Calculation errors → Automated calculation
  • Difficult searching → Fast Database search
  • Information sharing difficult → Networks / Internet
  • Dangerous work → Automation / Robots
родுро▒ைроХро│்

рокро▓்ро╡ேро▒ு родுро▒ைроХро│ிро▓் родроХро╡ро▓ிрой் рокропрой்рокாроЯு

  • Education: Student records, Online learning, Research.
  • Health: Electronic Patient records, Diagnosis, Monitoring.
  • Banking: ATM transactions, Online banking, Fraud detection.
  • Agriculture: Weather forecasting, Soil analysis, Irrigation management.
  • Government: Population management, Taxation, Policy making.
Retrieval

Information Retrieval (родроХро╡ро▓் рооீроЯ்роЯெроЯுрод்родро▓்)

ро╡ро░ைропро▒ை: роЪேрооிроХ்роХрок்рокроЯ்роЯுро│்ро│ родроХро╡ро▓்роХро│ிро▓ிро░ுрои்родு родேро╡ைропாрой родроХро╡ро▓ைрод் родேроЯி рокெро▒்ро▒ுроХ்роХொро│்ро│ுроо் роЪெропро▓்рооுро▒ை.

родொро┤ிро▓்роиுроЯ்рокроЩ்роХро│்: Search Engines (Google), Email, Instant Messaging, Social Media, Databases, Cloud Storage.

Networks

Computer Networks & Internet vs WWW

Computer Network: Data рооро▒்ро▒ுроо் Resources-роРрок் рокроХிро░்рои்родு роХொро│்ро│роХ்роХூроЯிроп ро╡роХைропிро▓் роТрой்ро▒ுроЯрой் роТрой்ро▒ு роЗрогைроХ்роХрок்рокроЯ்роЯ Computing Devices-рой் родொроХுрок்рокு.

Internet: роЙро▓роХроо் рооுро┤ுро╡родுроо் роТрой்ро▒ுроЯрой் роТрой்ро▒ு роЗрогைроХ்роХрок்рокроЯ்роЯ Computer Networks-рой் роЙро▓роХро│ாро╡ிроп ро╡ро▓ைропрооைрок்рокு (Infrastructure).

WWW: Internet-роРрок் рокропрой்рокроЯுрод்родி Web Pages рооро▒்ро▒ுроо் Resources-роР роЕрогுроХுро╡родро▒்роХாрой роТро░ு роЪேро╡ை (Service).

Mobile Tech

Mobile Communication vs Mobile Computing

Mobile CommunicationMobile Computing
Communication рооீродு роХро╡ройроо்Computing / Information Access рооீродு роХро╡ройроо்
Voice Calls, SMS, MessagesApplications, Data Processing
роЙродாро░рогроо்: Phone CallроЙродாро░рогроо்: Smartphone-ро▓் Document Edit роЪெроп்родро▓்
Cloud

Cloud Computing

ро╡ро░ைропро▒ை: Internet рокோрой்ро▒ Network рооூро▓роо் Computing Resources рооро▒்ро▒ுроо் Services-роР (Storage, Software, Processing Power) ро╡ро┤роЩ்роХுроо் рооுро▒ை.

роЙродாро░рогроЩ்роХро│்: Google Drive, Microsoft OneDrive, iCloud.

роирой்рооைроХро│்: Anywhere Access, Device Independence, Scalability, Collaboration, Backup & Availability.

Development

ICT ро╡ро│ро░்роЪ்роЪி ро╡ро░ிроЪை

Manual Processing → Computers → Networks → Internet → WWW → Mobile → Cloud

ЁЯУМ Structured Question Example

роХேро│்ро╡ி: роТро░ு рокாроЯроЪாро▓ை рооாрогро╡ро░்роХро│ிрой் родроХро╡ро▓்роХро│ை Manual-роЖроХ рокро░ாрооро░ிрок்рокродாро▓் Duplicate Information, Incorrect Marks, Results родропாро░ிрок்рокродிро▓் родாроородроо் роПро▒்рокроЯுроХிро▒родு.

a) 4 рокிро░роЪ்роЪிройைроХро│்: Data Duplication, Human Errors, Processing Delay, Information Sharing роЪிро░роороо்.

b) ICT роОро╡்ро╡ாро▒ு роЙродро╡ுроо்? Computerized Database System рооூро▓роо் родроХро╡ро▓ை роТро░ுроЩ்роХிрогைрод்родு роЪேрооிроХ்роХро▓ாроо், Marks-роР родாройாроХ роХрогроХ்роХிроЯро▓ாроо், Reports-роР ро╡ிро░ைро╡ாроХ роЙро░ுро╡ாроХ்роХро▓ாроо்.

c) Remote Access родொро┤ிро▓்роиுроЯ்рокроо்: Network-based роЕро▓்ро▓родு Cloud-based Systems.

⚡ Quick MCQ Check

  • Q: Prediction-роХ்роХு роЙродாро░рогроо்? A: роиாро│ைроп ро╡ாройிро▓ைропை роХрогிрод்родро▓்.
  • Q: Manual Processing-рой் роХுро▒ைрокாроЯு? A: Human Errors.
  • Q: роЙро▓роХроо் рооுро┤ுро╡родுроо் роЗрогைроХ்роХрок்рокроЯ்роЯ Networks? A: Internet.
  • Q: роЪро░ிропாрой роХூро▒்ро▒ு? A: WWW роОрой்рокродு Internet-роРрок் рокропрой்рокроЯுрод்родுроо் роТро░ு роЪேро╡ை.
⭐ Last-Minute Memory Formulas:
ЁЯОп родроХро╡ро▓ிрой் 4 рокропрой்рокாроЯுроХро│்: Decision | Policy | Prediction | Planning/Scheduling/Monitoring
⚠️ Manual Problems: Inconsistency | Duplication | Errors | Delay | Sharing Difficulties
ЁЯФД ICT Goal: Create → Process → Store → Retrieve → Share → Manage (ро╡ிро░ைро╡ாроХро╡ுроо், родுро▓்ро▓ிропрооாроХро╡ுроо், родிро▒рооைропாроХро╡ுроо்)

❓ роЕроЯிроХ்роХроЯி роХேроЯ்роХрок்рокроЯுроо் роХேро│்ро╡ிроХро│் (FAQ)

Q: роЕрой்ро▒ாроЯ ро╡ாро┤்роХ்роХைропிро▓் родроХро╡ро▓ிрой் роиாрой்роХு рооுроХ்роХிроп рокропрой்рокாроЯுроХро│் ропாро╡ை? A: роЕрой்ро▒ாроЯ ро╡ாро┤்роХ்роХைропிро▓் родроХро╡ро▓ிрой் роиாрой்роХு рооுроХ்роХிроп рокропрой்рокாроЯுроХро│்: 1. рооுроЯிро╡ெроЯுрод்родро▓் (Decision Making), 2. роХொро│்роХை роЙро░ுро╡ாроХ்роХுродро▓் (Policy Making), 3. роОродிро░்ро╡ுроХூро▒ро▓் (Predictions), 4. родிроЯ்роЯрооிроЯро▓், роХாро▓ роЕроЯ்роЯро╡рогைропிроЯро▓் рооро▒்ро▒ுроо் роХрог்роХாрогிрод்родро▓் (Planning, Scheduling & Monitoring).
Q: Manual Data Processing-рой் рооுроХ்роХிроп роХுро▒ைрокாроЯுроХро│் ропாро╡ை? A: Manual Data Processing-рой் рооுроХ்роХிроп роХுро▒ைрокாроЯுроХро│்: родро░ро╡ு рооுро░рог்рокாроЯு (Inconsistency), родро░ро╡ு роироХро▓ாроХ்роХроо் (Duplication), рооройிродрод் родро╡ро▒ுроХро│் (Human Errors), роЪெропро▓ாроХ்роХрод் родாроородроо் (Delay), рооро▒்ро▒ுроо் родроХро╡ро▓் рокроХிро░்ро╡родிро▓் роЪிро░роороо் (Sharing Difficulties).
Q: Internet рооро▒்ро▒ுроо் WWW-роХ்роХு роЗроЯைропிро▓ாрой ро╡ேро▒ுрокாроЯு роОрой்рой? A: Internet роОрой்рокродு роЙро▓роХроо் рооுро┤ுро╡родுроо் роТрой்ро▒ுроЯрой் роТрой்ро▒ு роЗрогைроХ்роХрок்рокроЯ்роЯ Computer Networks-рой் роЙро▓роХро│ாро╡ிроп ро╡ро▓ைропрооைрок்рокு (Infrastructure) роЖроХுроо். WWW (World Wide Web) роОрой்рокродு Internet-роРрок் рокропрой்рокроЯுрод்родி Web Pages рооро▒்ро▒ுроо் Resources-роР роЕрогுроХுро╡родро▒்роХாрой роТро░ு роЪேро╡ை (Service) роЖроХுроо்.
Q: Cloud Computing роОрой்ро▒ாро▓் роОрой்рой? A: Cloud Computing роОрой்рокродு Internet рокோрой்ро▒ Network рооூро▓роо் Computing Resources рооро▒்ро▒ுроо் Services-роР (роЪேрооிрок்рокроХроо், рооெрой்рокொро░ுро│், роЪெропро▓ாроХ்роХ роЪроХ்родி) ро╡ро┤роЩ்роХுроо் рооுро▒ைропாроХுроо். роЗродு роОроЩ்роХிро░ுрои்родுроо், роОрои்род Device-ро▓் роЗро░ுрои்родுроо் родро░ро╡ை роЕрогுроХ роЙродро╡ுроХிро▒родு.

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Monday, August 3, 2026

G.C.E. A/L ICT Tamil Medium Competency 1.1 | родро░ро╡ு рооро▒்ро▒ுроо் родроХро╡ро▓் Sri Lankan G.C.E. A/L ICT Tamil Medium complete notes for Competency 1.1. Covers Data, Information, Data Life Cycle, Big Data (5Vs), and Valuable

ЁЯУЪ G.C.E. A/L ICT (родрооிро┤் роКроЯроХроо்)

Competency 1.1: родроХро╡ро▓ிрой் роЕроЯிрок்рокроЯை роХூро▒ுроХро│் рооро▒்ро▒ுроо் роЕро╡ро▒்ро▒ிрой் рокрог்рокுроХро│்

ЁЯУМ роЗрои்родрок் рокாроЯрод்родிрой் роХро▒்ро▒ро▓் роиோроХ்роХроЩ்роХро│்: родро░ро╡ு (Data), родроХро╡ро▓் (Information), Data Life Cycle, родро░рооாрой родроХро╡ро▓ிрой் рокрог்рокுроХро│், рооро▒்ро▒ுроо் Big Data рокро▒்ро▒ிроп роЕроЯிрок்рокроЯை роЕро▒ிро╡ை Theory, Examples, рооро▒்ро▒ுроо் Question & Answer ро╡роЯிро╡ிро▓் роОро│ிрооைропாроХроХ் роХро▒்ро▒ுроХ்роХொро│்ро│ро▓ாроо்.
Theory

Data (родро░ро╡ு) роОрой்ро▒ாро▓் роОрой்рой?

Data роОрой்рокродு роОрои்родро╡ொро░ு роЪெропро▓ாроХ்роХрооுроо் (Process) роЪெроп்ропрок்рокроЯாрод роЙрог்рооைроХро│் (Raw Facts) роЕро▓்ро▓родு роородிрок்рокுроХро│் роЖроХுроо். роЗро╡ை родройிропாроХ роЗро░ுрои்родாро▓் рокெро░ிродாроХ роЕро░்род்родроо் родро░ாродு.

  • роОрог்роХро│், роОро┤ுрод்родுроХ்роХро│், рокроЯроЩ்роХро│், роТро▓ி, ро╡ீроЯிропோ, роХுро▒ிропீроЯுроХро│் рокோрой்ро▒ рокро▓ ро╡роЯிро╡роЩ்роХро│ிро▓் роЗро░ுроХ்роХுроо்.

роЙродாро░рогроо்: 45, 67, 89 роЕро▓்ро▓родு John, Male, 25, Colombo

Theory

Information (родроХро╡ро▓்) роОрой்ро▒ாро▓் роОрой்рой?

Data-ро╡ை Process (роЪெропро▓ாроХ்роХроо்) роЪெроп்род рокிро▒роХு роХிроЯைрок்рокродே Information роЖроХுроо். роЗродு Meaningful (роЕро░்род்родрооுро│்ро│), Useful (рокропройுро│்ро│), рооро▒்ро▒ுроо் Decision Making (рооுроЯிро╡ெроЯுроХ்роХ) роЙродро╡ுроо்.

роЙродாро░рогроо்: 65, 70, 90, 80 (Data) → Average: 76.25 (Information)

Comparison

Data рооро▒்ро▒ுроо் Information роЗроЯைропிро▓ாрой ро╡ிрод்родிропாроЪроо்

Data (родро░ро╡ு)Information (родроХро╡ро▓்)
Raw Facts (рооூро▓ роЙрог்рооைроХро│்)Processed Data (роЪெропро▓ாроХ்роХрок்рокроЯ்роЯ родро░ро╡ு)
Meaning (роЕро░்род்родроо்) роЗро▓்ро▓ைMeaning (роЕро░்род்родроо்) роЙро│்ро│родு
Decision (рооுроЯிро╡ு) роОроЯுроХ்роХ рооுроЯிропாродுDecision роОроЯுроХ்роХ роЙродро╡ுроо்
Input (роЙро│்ро│ீроЯு)Output (ро╡ெро│ிропீроЯு)
Q&A

роХேро│்ро╡ி: Data рооро▒்ро▒ுроо் Information роЗрой் роЗро░рог்роЯு ро╡ிрод்родிропாроЪроЩ்роХро│ை роОро┤ுродுроХ.

рокродிро▓்: 1. Data роОрой்рокродு Raw Facts. 2. Information роОрой்рокродு Process роЪெроп்ропрок்рокроЯ்роЯ Data.

Theory

Data Life Cycle (родро░ро╡ு ро╡ாро┤்роХ்роХைроЪ் роЪுро┤ро▒்роЪி)

Data родொроЯро░்рои்родு роХீро┤்роХ்роХрог்роЯ роХроЯ்роЯроЩ்роХро│ைроХ் роХроЯроХ்роХிро▒родு:

Creation → Storage → Processing → Use → Sharing → Archive → Delete

1. Data Creation: Keyboard, Sensors, Scanner, Camera, Online Form рооூро▓роо் рокுродிроп Data роЙро░ுро╡ாроХ்роХрок்рокроЯுро╡родு.

2. Data Management: Data-ро╡ை Store, Update, Backup, Protect, Recover роЪெроп்ро╡родு (роО.роХா: Bank Database).

3. Removal of Obsolete Data: рокропрой்рокாроЯு роЗро▓்ро▓ாрод рокро┤ைроп Data-ро╡ை роиீроХ்роХுродро▓். (роирой்рооைроХро│்: Memory Save, Fast Processing, Security, Less Cost).

Theory

Data роЗрой் ро╡роХைроХро│்

  • Numeric Data: 25, 100, 450
  • Text Data: Faaz, School, ICT
  • Image Data: Photo, PNG, JPEG
  • Audio Data: MP3, WAV
  • Video Data: MP4, AVI
Q&A

роХேро│்ро╡ி: Data Life Cycle роОрой்ро▒ாро▓் роОрой்рой?

рокродிро▓்: Data роЙро░ுро╡ாроХ்роХрок்рокроЯ்роЯு (Creation), рокாродுроХாроХ்роХрок்рокроЯ்роЯு (Management), роЗро▒ுродிропிро▓் рокропрой்рокாроЯு роЗро▓்ро▓ாрод рокோродு роиீроХ்роХрок்рокроЯுро╡родு (Removal) ро╡ро░ைропிро▓ாрой роЪுро┤ро▒்роЪி.

Theory

Quality Data (родро░рооாрой родро░ро╡ு)

родро░рооாрой Data роЖройродு Correct (роЪро░ிропாрой), Complete (рооுро┤ுрооைропாрой), Consistent (роиிро▓ைропாрой), Reliable (роироо்рокроХрооாрой), рооро▒்ро▒ுроо் Valid (роЪெро▓்ро▓ுрокроЯிропாроХроХ்роХூроЯிроп)родாроХ роЗро░ுроХ்роХ ро╡ேрог்роЯுроо்.

роЙродாро░рогроо்: Name, Age, Address, Phone роЕройைрод்родுроо் роЪро░ிропாроХ роЗро░ுрои்родாро▓் роЕродு Quality Data.

Theory

Valuable Information роЗрой் 5 рооுроХ்роХிроп рокрог்рокுроХро│்

  • 1. Timeliness: родேро╡ைропாрой роЪро░ிропாрой роиேро░род்родிро▓் родроХро╡ро▓் роХிроЯைрок்рокродு. (роО.роХா: роЗрой்ро▒ைроп Weather Report).
  • 2. Accuracy: родроХро╡ро▓் рокிро┤ைропிрой்ро▒ி родுро▓்ро▓ிропрооாроХ роЗро░ுрок்рокродு. (роО.роХா: Exam Marks роЪро░ிропாроХ роЗро░ுрод்родро▓்).
  • 3. Context: родроХро╡ро▓் родேро╡ைропாрой роЪூро┤்роиிро▓ைроХ்роХுрок் рокொро░ுрод்родрооாроХ роЗро░ுрок்рокродு. (роО.роХா: Doctor-роХ்роХு роиோропாро│ிропிрой் Health Report).
  • 4. Understandability: родроХро╡ро▓் Chart, Graph, Table рооூро▓роо் роОро│ிродாроХрок் рокுро░ிропроХ்роХூроЯிропродாроХ роЗро░ுрок்рокродு.
  • 5. Less Uncertainty: роЪро░ிропாрой рооுроЯிро╡ெроЯுроХ்роХрод் родேро╡ைропாрой родெро│ிро╡ாрой родроХро╡ро▓் (роЪрои்родேроХрод்родைроХ் роХுро▒ைрок்рокродு). (роО.роХா: GPS Navigation).
Theory

Big Data роОрой்ро▒ாро▓் роОрой்рой?

Traditional Database рооூро▓роо் роХைропாро│ рооுроЯிропாрод рооிроХрок்рокெро░ிроп роЕро│ро╡ிро▓ாрой Data роЖроХுроо். Facebook, Google, YouTube, Hospitals, Banks, IoT Devices рокோрой்ро▒ро╡ை роЗродрой் рооுроХ்роХிроп рооூро▓роЩ்роХро│ாроХுроо்.

Theory

Big Data роЗрой் 5V роХ்роХро│்

  • Volume: рооிроХрок்рокெро░ிроп роЕро│ро╡ு (Huge Amount).
  • Velocity: рооிроХ ро╡ேроХрооாроХ роЙро░ுро╡ாроХுроо் родро░ро╡ு (High Speed).
  • Variety: рокро▓ ро╡роХைропாрой Data (Text, Image, Video, etc.).
  • Veracity: родро░ро╡ிрой் роироо்рокроХрод்родрой்рооை рооро▒்ро▒ுроо் родுро▓்ро▓ிропроо்.
  • Value: роЕрои்родрод் родро░ро╡ிро▓ிро░ுрои்родு рокெро▒роХ்роХூроЯிроп рокропройுро│்ро│ родроХро╡ро▓்.
Application

Big Data Analysis рокропрой்рокாроЯுроХро│்

  • Business Intelligence (ро╡рогிроХ роиுрог்рогро▒ிро╡ு)
  • Weather Forecast (ро╡ாройிро▓ை рооுрой்ройро▒ிро╡ிрок்рокு)
  • Medical Research (рооро░ுрод்родுро╡ роЖро░ாроп்роЪ்роЪி)
  • Fraud Detection (рооோроЪроЯி роХрог்роЯро▒ிродро▓்)
  • Artificial Intelligence & Recommendation Systems
Q1

Data роОрой்ро▒ாро▓் роОрой்рой?

рокродிро▓்: роЪெропро▓ாроХ்роХрок்рокроЯாрод (Process роЪெроп்ропрок்рокроЯாрод) роЙрог்рооைроХро│் роЕро▓்ро▓родு роородிрок்рокுроХро│் Data роОройрок்рокроЯுроо்.

Q2

Information роОрой்ро▒ாро▓் роОрой்рой?

рокродிро▓்: Process (роЪெропро▓ாроХ்роХроо்) роЪெроп்ропрок்рокроЯ்роЯ Data Information роЖроХுроо்.

Q3

Data рооро▒்ро▒ுроо் Information роЗроЯைропிро▓ாрой ро╡ேро▒ுрокாроЯுроХро│ை роОро┤ுродுроХ.

рокродிро▓்: Data роОрой்рокродு Raw Facts рооро▒்ро▒ுроо் роЗродро▒்роХு роЕро░்род்родроо் роЗро░ுроХ்роХாродு. Information роОрой்рокродு Process роЪெроп்ропрок்рокроЯ்роЯ, роЕро░்род்родрооுро│்ро│ Data роЖроХுроо்.

Q4

Valuable Information роЗрой் рокрог்рокுроХро│் ропாро╡ை?

рокродிро▓்: Timeliness, Accuracy, Context, Understandability, Less Uncertainty.

Q5

Big Data роОрой்ро▒ாро▓் роОрой்рой?

рокродிро▓்: роЪாродாро░рог Database рооூро▓роо் роХைропாро│ рооுроЯிропாрод, рооிроХрок்рокெро░ிроп роЕро│ро╡ு, ро╡ேроХроо் рооро▒்ро▒ுроо் рокро▓்ро╡роХை родрой்рооை роХொрог்роЯ родро░ро╡ுрод் родொроХுрок்рокுроХро│்.

Q6

Big Data роЗрой் 5V-роХро│ை роОро┤ுродுроХ.

рокродிро▓்: Volume, Velocity, Variety, Veracity, Value.

❓ роЕроЯிроХ்роХроЯி роХேроЯ்роХрок்рокроЯுроо் роХேро│்ро╡ிроХро│் (FAQ)

Q: Data (родро░ро╡ு) роОрой்ро▒ாро▓் роОрой்рой? A: Data роОрой்рокродு роОрои்родро╡ொро░ு роЪெропро▓ாроХ்роХрооுроо் (Process) роЪெроп்ропрок்рокроЯாрод роЙрог்рооைроХро│் (Raw Facts) роЕро▓்ро▓родு роородிрок்рокுроХро│் роЖроХுроо். роЗро╡ை родройிропாроХ роЗро░ுрои்родாро▓் рокெро░ிродாроХ роЕро░்род்родроо் родро░ாродு.
Q: Data рооро▒்ро▒ுроо் Information роЗроЯைропிро▓ாрой ро╡ேро▒ுрокாроЯு роОрой்рой? A: Data роОрой்рокродு роЪெропро▓ாроХ்роХрок்рокроЯாрод рооூро▓ роЙрог்рооைроХро│் (Raw Facts) рооро▒்ро▒ுроо் роЗродро▒்роХு роЕро░்род்родроо் роЗро░ுроХ்роХாродு. Information роОрой்рокродு роЪெропро▓ாроХ்роХрок்рокроЯ்роЯ (Processed) Data роЖроХுроо், роЗродு роЕро░்род்родрооுро│்ро│родாроХро╡ுроо் рооுроЯிро╡ெроЯுроХ்роХ роЙродро╡ுро╡родாроХро╡ுроо் роЗро░ுроХ்роХுроо்.
Q: Big Data роЗрой் 5V роХ்роХро│் ропாро╡ை? A: Big Data роЗрой் 5V роХ்роХро│்: Volume (роЕро│ро╡ு), Velocity (ро╡ேроХроо்), Variety (рокро▓்ро╡роХைрооை), Veracity (роироо்рокроХрод்родрой்рооை), рооро▒்ро▒ுроо் Value (роородிрок்рокு/рокропрой்).
Q: роородிрок்рокுро│்ро│ родроХро╡ро▓ிрой் (Valuable Information) рокрог்рокுроХро│் ропாро╡ை? A: роородிрок்рокுро│்ро│ родроХро╡ро▓ிрой் рооுроХ்роХிроп рокрог்рокுроХро│்: Timeliness (роЪро░ிропாрой роиேро░роо்), Accuracy (родுро▓்ро▓ிропроо்), Context (роЪூро┤ро▓்), Understandability (рокுро░ிродро▓் родрой்рооை), рооро▒்ро▒ுроо் Less Uncertainty (роХுро▒ைрои்род роиிроЪ்роЪропрооро▒்ро▒ родрой்рооை).

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Wednesday, July 22, 2026

G.C.E. A/L ICT Exam Solutions Part II | G12-ICT-TM-FWC-P2 Hardware, Networks & OS Complete step-by-step solutions for A/L ICT Part II. Covers Computer Generations, Network Topology, TCP/UDP, Virtual Memory, Paging, and FAT with exam tips

ЁЯОУ G.C.E. A/L ICT Exam Solutions (Part II)

Hardware, Networks, Operating Systems & Step-by-Step Calculations

ЁЯУЪ About this guide: Complete, step-by-step solutions for G.C.E. Advanced Level ICT Part II structured questions. Covers Computer Evolution, Network Topology, TCP/UDP, Virtual Memory, Paging, and File Allocation Table (FAT) with clear formulas, diagrams, and exam-oriented memory tricks.
Q1✅ (5) John Presper Eckert

Principal Inventor of ENIAC

Theory: ENIAC was the world's first general-purpose electronic digital computer, designed by John Presper Eckert and John W. Mauchly.

ЁЯОп Exam Memory Trick:
ENIAC → Eckert & Mauchly
Stored Program → Von Neumann
Analytical Engine → Charles Babbage
First Programmer → Ada Lovelace
Q2✅ (3) Integrated Circuits

Third Generation Computers

Theory: 1st Gen = Vacuum Tubes, 2nd Gen = Transistors, 3rd Gen = Integrated Circuits (IC), 4th Gen = VLSI/Microprocessors, 5th Gen = AI.

Q3✅ (4) Flash Memory & ROM

Non-Volatile Memory

Theory: Non-volatile memory retains data when power is off. RAM, Cache, and Registers are volatile. Flash and ROM are non-volatile.

Q4✅ (2) RAM

Outside the Microprocessor

Theory: ALU, Control Unit, Registers, and Cache are inside the microprocessor. RAM, Hard Disks, and SSDs are outside (external memory).

Q5✅ (5) Store BIOS program

NOT a typical use of RAM

Theory: RAM is temporary and volatile, used for running programs and temporary data. The BIOS program is permanent and must be stored in non-volatile ROM.

Q2(v)✅ Network Diagram

ABC Company Network Design

Theory: 4 Departments (D01-D04) each need a Switch. All switches connect to a central Router. The Router connects to a Firewall, which connects to the Internet. Proxy and DNS servers sit in the ICT Services (D04) department.

                        Internet
                            │
                      +-------------+
                      |  Firewall   |
                      +-------------+
                            │
                      +-------------+
                      |   Router    |
                      +-------------+
          ┌────────────┼─────────────┬─────────────┐
     +---------+  +---------+  +---------+  +---------+
     | Switch  |  | Switch  |  | Switch  |  | Switch  |
     +---------+  +---------+  +---------+  +---------+
          │            │             │             │
     Accounts      Sales      Admin      ICT Services
      (D01)        (D02)        (D03)        (D04)
                                              │
                         ┌────────────────────┴───────────────┐
                  +---------------+                  +---------------+
                  | Proxy Server  |                  |  DNS Server   |
                  +---------------+                  +---------------+
          
Q2(vi)✅ TCP vs UDP

Differences Between TCP and UDP

FeatureTCPUDP
ReliabilityReliable (checks delivery)Unreliable (no checks)
ConnectionConnection-orientedConnectionless
SpeedSlower (error checking)Faster (no overhead)
ExamplesHTTP, Email, FTPVideo Streaming, VoIP, DNS
ЁЯОп Exam Memory Trick:
TCP = Trustworthy (Reliable, slower)
UDP = Ultra Fast (Unreliable, faster)
Q3(a)✅ 4 bits & 12 bits

Page Number & Offset Bits

Given: 16-bit Virtual Address, Page Size = 4 KB.

Step 1 (Offset): 4 KB = 4096 Bytes = 2¹². Therefore, Offset = 12 bits.

Step 2 (Page Number): 16 total bits - 12 offset bits = 4 bits.

+------------+----------------+
| Page Number|     Offset     |
|   4 bits   |    12 bits     |
+------------+----------------+
          
Q3(b)(i)✅ 24788

Physical Address Calculation

Given: Virtual Address = 12500.

Step 1: Page Number = 12500 ÷ 4096 = 3 (Remainder/Offset = 212).

Step 2: Page Table shows Page 3 is in Frame 6 (110₂).

Step 3: Physical Address = (Frame × Page Size) + Offset = (6 × 4096) + 212 = 24788.

Q3(b)(ii-iv)

Paging Concepts

  • Why a page is absent: 1) Not loaded into RAM yet. 2) Swapped out to disk due to full RAM.
  • Advantages of Paging: Eliminates external fragmentation; supports virtual memory (running programs larger than physical RAM).
  • Hardware for mapping: Memory Management Unit (MMU) inside the CPU.
Q3(c)(i)✅ Block 503

First Block of promax.py

Theory: Trace the chain backwards. The first block is the one not pointed to by any other block.

Chain: 503 → 501 → 500 → 502 → -1 (End).

Q3(c)(ii)✅ 16 KB

Disk Space Occupied

Theory: The file uses 4 blocks (503, 501, 500, 502). Each block is 4 KB.

Calculation: 4 blocks × 4 KB = 16 KB.

Q3(c)(iii)✅ Updated FAT

File Grows to 20 KB

Theory: Needs 1 more block (20 KB - 16 KB = 4 KB). The free block is 504.

Action: Change block 502's pointer from -1 to 504. Change block 504's pointer to -1.

Block   Next Block
500     502
501     500
502     504  ← Updated
503     501
504     -1   ← Updated (End)
          

Quick Answer Key

QAnswerTopic
15ENIAC (Eckert & Mauchly)
233rd Gen = Integrated Circuits
34Non-Volatile = Flash & ROM
42RAM is outside Microprocessor
55BIOS is stored in ROM, not RAM
2vDiagramRouter → Firewall → Internet
2viTableTCP (Reliable/Slow) vs UDP (Fast)
3a4 & 12Page Number & Offset bits
3bi24788Physical Address Calculation
3bivMMUHardware for address mapping
3ci503First FAT Block
3cii16 KBFile Size (4 blocks × 4KB)
⭐ Most Important A/L ICT Topics to Master:
ЁЯЦе️ Computer Generations & Logic Gates (Half/Full Adder)
ЁЯзо Number Systems & Binary Arithmetic
ЁЯМР IP Addressing, CIDR, VLSM, and Network Devices
ЁЯза Operating Systems: Process States, Virtual Memory, Paging, FAT
ЁЯЫа️ SDLC, Software Testing, and Feasibility Studies

❓ Frequently Asked Questions (FAQ)

Q: Who invented ENIAC and what was its significance? A: ENIAC (Electronic Numerical Integrator and Computer) was the world's first general-purpose electronic digital computer, designed by John Presper Eckert and John W. Mauchly.
Q: What is the difference between TCP and UDP? A: TCP is connection-oriented, reliable, and performs error checking (making it slower), ideal for web browsing and emails. UDP is connectionless, unreliable, and faster, making it ideal for video streaming and online gaming.
Q: How do you calculate Page Number and Offset bits in Virtual Memory? A: First, convert the Page Size to bytes and express it as a power of 2 (e.g., 4KB = 2^12). The exponent (12) is the Offset bits. Subtract this from the total Virtual Address bits to get the Page Number bits.
Q: What hardware component translates virtual addresses to physical addresses? A: The Memory Management Unit (MMU), which is a hardware component inside the CPU, performs address mapping from virtual addresses to physical addresses using the page table.
Q: How do you find the first block of a file in a File Allocation Table (FAT)? A: The first block (directory entry) is the block number that is not pointed to as the "Next Block" by any other block in the FAT chain.

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Wednesday, July 15, 2026

Microsoft Excel Training Notes (Basic to Advanced) | Hands-On Guide 2026 tutorial, Excel formulas, VLOOKUP, Pivot Tables, Excel Dashboard, Data Validation, Excel training notes, Basic to Advanced

ЁЯУК Microsoft Excel Training Notes

Basic to Advanced | Hands-on Examples & Step-by-Step Exercises

ЁЯУЪ About this guide: A complete, structured Microsoft Excel course progressing from beginner to advanced levels. Covers formulas, cell references, VLOOKUP/XLOOKUP, Pivot Tables, Data Validation, and Interactive Dashboards. Perfect for a 20–30 hour instructor-led training or self-paced learning with practical exercises after every topic.
Module 1

Introduction to Excel

What is Excel? Spreadsheet software used to store data, perform calculations, analyze information, and build dashboards.

Key Interface Parts: Workbook (file), Worksheet (sheet), Row (horizontal, 1,2,3), Column (vertical, A,B,C), Cell (intersection), Formula Bar, Ribbon, Name Box.

ЁЯЫа️ Hands-on Exercise 1 Create a Student Marks Sheet with columns: Student, Maths, Science, English. Enter sample data and save as Student_Marks.xlsx.
Module 2

Formatting

Learn to make data professional: Font styles, Borders, Fill Color, Text Color, Merge & Center, Wrap Text, and Alignment.

ЁЯЫа️ Hands-on Exercise Format a "Product & Price" table: Blue heading, white text, bold, borders, and apply Currency Format to prices.
Module 3

Basic Formulas

Rule: Every formula starts with =.

OperatorMeaningExample
+Add=A2+B2
-Subtract=A2-B2
*Multiply=A2*B2
/Divide=A2/B2
^Power=A2^2
Module 4

Common Functions

  • =SUM(B2:B10) → Total of a range.
  • =AVERAGE(B2:B10) → Mean value.
  • =MAX(B2:B10) → Highest value.
  • =MIN(B2:B10) → Lowest value.
  • =COUNT(B2:B10) → Counts cells with numbers.
  • =COUNTA(B2:B10) → Counts non-empty cells.
Module 5

Cell References

  • Relative (A2): Changes automatically when copied.
  • Absolute ($A$2): Never changes (locks row & column). Use for fixed rates like VAT.
  • Mixed (A$2 or $A2): Locks either the row or the column only.
ЁЯЫа️ Hands-on Exercise Calculate VAT (18%). Price in A2, VAT Rate in $D$1. Formula: =A2*$D$1
Module 6

AutoFill

Use the small square at the bottom-right of a cell to drag and automatically fill numbers, months, days, or copy formulas.

ЁЯЫа️ Hands-on Exercise Type "January" in a cell and drag the fill handle down. Observe how Excel automatically fills February, March, etc.
Module 7

Sorting & Filtering

Sort: A-Z, Z-A, Smallest to Largest, Largest to Smallest.
Filter: Temporarily hide data to view specific criteria (e.g., show only "IT Department" or "Salary > 50000").

Module 8

Conditional Formatting

Automatically highlight cells based on rules: Duplicate values, Greater/Less than, Top 10, or Color Scales.

ЁЯЫа️ Hands-on Exercise Select a column of student marks. Apply Conditional Formatting to highlight all marks greater than 75 in green.
Module 9

IF Function

Syntax: =IF(condition, value_if_true, value_if_false)

Example: =IF(B2>=50, "Pass", "Fail")

ЁЯЫа️ Hands-on Exercise If a student's mark is >75, display "Excellent". Otherwise, display "Average".
Module 10

AND & OR Functions

  • =AND(A2>50, B2>50) → True only if BOTH conditions are met.
  • =OR(A2>50, B2>50) → True if AT LEAST ONE condition is met.
Module 11

Date Functions

  • =TODAY() → Current date.
  • =NOW() → Current date and time.
  • =YEAR(A2), =MONTH(A2), =DAY(A2) → Extract specific parts of a date.
Module 12

Text Functions

  • =LEFT(A2,3) → Extracts first 3 characters.
  • =RIGHT(A2,2) → Extracts last 2 characters.
  • =MID(A2,2,5) → Extracts 5 characters starting from position 2.
  • =LEN(A2) → Counts total characters.
  • =TRIM(A2) → Removes extra spaces.
  • =UPPER(), =LOWER(), =PROPER() → Change text case.
ЁЯЫа️ Hands-on Exercise Convert "john smith" into "John Smith" using the =PROPER() function.
Module 13

Lookup Functions

  • VLOOKUP: =VLOOKUP(lookup_value, table_array, col_index_num, FALSE). Searches vertically.
  • XLOOKUP (Excel 365): =XLOOKUP(lookup_value, lookup_array, return_array). More flexible, searches any direction.
  • HLOOKUP: Searches horizontally across the first row.
Module 14

Data Validation

Restrict what can be entered into a cell. Common uses: Drop-down lists, number limits, date limits.

ЁЯЫа️ Hands-on Exercise Create a drop-down list for "Department" with options: Sales, HR, Finance, IT. (Data Tab → Data Validation → List).
Module 15

Charts

Visualize data using Bar Charts, Pie Charts, Line Charts, and Column Charts. Select data → Insert Tab → Choose Chart.

Modules 16-19

Pivot Tables, Charts & Tables

  • Pivot Tables: Summarize large datasets instantly (Insert → Pivot Table). Drag fields to Rows, Columns, and Values.
  • Pivot Charts: Visual representation of a Pivot Table.
  • Excel Tables: (Ctrl+T) Provides automatic formatting, built-in filters, and structured references.
  • Freeze Panes: (View → Freeze Panes) Keeps headers visible while scrolling.
Modules 20-22

Protection, Named Ranges & What-If

  • Protect Sheet: (Review → Protect Sheet) Prevents unauthorized edits. Can set a password.
  • Named Ranges: Assign a name (e.g., "Sales") to a range (e.g., A2:A20). Use =SUM(Sales) for readability.
  • What-If Analysis: Goal Seek (find input for a desired output), Scenario Manager, Data Tables.
Modules 23-24

Advanced & Financial Functions

  • INDEX & MATCH: Powerful alternative to VLOOKUP. =INDEX(return_range, MATCH(lookup_value, lookup_range, 0))
  • PMT: Calculate loan EMI. =PMT(rate, nper, pv)
Module 25 + Final Project

Interactive Sales Dashboard

Dataset: Date, Product, Region, Salesperson, Qty, Price.

Tasks:

  1. Format as Table & Calculate Total Sales (=Qty*Price).
  2. Apply Currency Format & Conditional Formatting (> Rs.100,000).
  3. Create Data Validation Drop-downs & Sort/Filter.
  4. Build Pivot Table (Sales by Region) & Pivot Chart.
  5. Insert Slicers (Product, Region) for an interactive Dashboard.

ЁЯУЭ Practice Assignments

  • Student Result Management System
  • Employee Salary Calculator (with Tax & Deductions)
  • Monthly Household Budget Tracker
  • Automated Sales Invoice Generator
  • Inventory Management System (with Low Stock Alerts)
  • Attendance Register with Conditional Formatting
  • Payroll Calculator
  • Business Expense Tracker
  • Hotel Booking Register
  • Interactive Business Sales Dashboard
  • ]

ЁЯОп Learning Outcomes

By the end of this course, learners will be able to:

  • Navigate the Excel interface confidently.
  • Enter, edit, and format data professionally.
  • Use basic and advanced formulas and functions.
  • Analyze data using sorting, filtering, and conditional formatting.
  • Create charts, PivotTables, and PivotCharts.
  • Validate and protect worksheets.
  • Use lookup functions (VLOOKUP, XLOOKUP, INDEX/MATCH).
  • Perform What-If Analysis and basic financial calculations.
  • Design interactive dashboards for business reporting.
  • Apply Excel skills to real-world business scenarios through hands-on projects.

❓ Frequently Asked Questions (FAQ)

Q: What is the difference between Relative and Absolute Cell References? A: A Relative Reference (e.g., A1) changes automatically when copied to another cell. An Absolute Reference (e.g., $A$1) never changes, locking the specific row and column, which is useful for fixed values like tax rates.
Q: What is the difference between VLOOKUP and XLOOKUP? A: VLOOKUP searches for a value in the first column of a range and returns a value in the same row. XLOOKUP is a newer, more flexible function that can search in any direction, defaults to an exact match, and handles errors gracefully without needing column index numbers.
Q: How do you create a Drop-Down List in Excel? A: Select the target cells, go to the Data tab, click 'Data Validation', choose 'List' under Allow, and enter your source values separated by commas or select a range of cells containing the options.
Q: What is a Pivot Table used for? A: A Pivot Table is used to quickly summarize, analyze, explore, and present large datasets. It allows you to group data, calculate totals and averages, and create dynamic reports without writing complex formulas.
Q: How does the INDEX and MATCH combination work? A: MATCH finds the row or column number of a lookup value, and INDEX retrieves the value at that specific position. Together, they form a powerful, flexible alternative to VLOOKUP that can look left or right.

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  • ЁЯТ╗ Non-IT Staff Computer Basics: Absolute beginner-friendly online classes covering essential computer skills, office tools, and internet operations.
  • ЁЯОТ Primary & Secondary (Grades 1-10): Interactive online ICT classes tailored to build strong foundations from early ages.
  • ЁЯУЭ Exam Prep: Dedicated training packages for GCE O/L, GCE A/L ICT, and GIT exams.
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Book your slot for online classes or get a premium tech service quote today!

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