Can you give me syllabus for Punjab Food Inspector Entrance examination orgnized by union public service commission ?

Here I am giving you syllabus for Punjab Food Inspector Entrance examination orgnized by union public service commission below :

The test will have 150 Questions of one mark each.
1) Punjabi Language (13 Marks)
2) English Language (12 Marks)
3) General Knowledge (25 Marks)
4) Mental Ability (50 Marks)
5) Mathematical Skills (25 Marks)
6) Computer Profeciency (25 Marks)

Punjabi Language Topics:
This section is designed to test the language abilities and understanding of Punjabi grammar. Questions are asked mainly from the following categories., Vocabulary, Synonyms, Antonyms, Idioms & phrases, Error Correction, Spellings, Noun, Pronoun, Adjective, Adverb, Verb etc.
English Language Topics:

Verb, Adverb, Subject Verb Agreement, Error Correction, Tenses, Sentence Rearrangement, Fill in the Blanks with Modals, Articles etc, Comprehension , Answering questions based on Unseen Passages, Vocabulary, Synonyms, Antonyms

General Awareness Topics:
India (History, Polity, Economy, Geography), Punjab (History, Culture, Language & Literature), Current Affairs (Punjab, National and International), Who’s Who, Appointments, Sports, Books and Authors, Awards and Honours, General Science , Inventions and Discoveries, Abbreviations, Important Days, International and National Organisations
Mental Ability (Reasoning) Topics:

Number Series, Alphabet Series, Test of Direction Sense, Coding-Decoding, Number Ranking, Arithmetical Reasoning, Problem on Age Calculation, Blood Relations, Analogy, Decision Making, Syllogism, Statement and Conclusion, Statement and Argument, Non Verbal Series, Mirror Images, Cubes and Dice, Grouping Identical Figures, Embedded Figures
Mathematical Skills Topics:

Number System, HCF, LCM, Simplification, Decimal Fractions, Ratio and Proportions, Unitary Method, Percentage, Time and Distance, Time and Work, Profit and Loss, Average, Simple and Compound Interest, Menstruation (2D and 3D), Data Interpretation, Data Sufficiency