Punjab Verka Milkfed Clerk Syllabus & Milkfed Punjab Clerk Exam Pattern

Punjab Verka Milkfed Exam Pattern

Exam TypeSubjectMarks
Objective Type ExamLanguage Professions (Punjabi and English)20
General Awareness15
Reasoning15
Computer Proficiency15
Technical Subjects35
Total100
  • Punjab Verka Milkfed Clerk Exam is an Objective type Exam.
  • Milkfed Punjab Clerk Exam consists of 100 Multiple Choice questions.
  • Each question carries one mark in Punjab Verka Milkfed Laboratory Assistant Exam.
  • No negative marking for Punjab Verka Milkfed Clerk cum Typist Exam.

Punjab Verka Milkfed Clerk Syllabus

Punjab Verka Milkfed Clerk cum Typist Syllabus – General Awareness

  • Inventions and Discoveries
  • Indian Parliament
  • Famous Days & Dates
  • Current Affairs
  • Rivers, Lakes, and Seas
  • Famous Books & Authors
  • Indian Politics
  • Sports
  • Indian History
  • Tourism
  • Countries and Capitals
  • Indian Economy
  • General Science
  • Famous Places in India
  • Artists
  • Culture

Punjab Verka Milkfed Clerk Syllabus – English

  • Substitution
  • Prepositions
  • Transformation
  • Idioms and Phrases
  • Sentence Improvement
  • Para Completion
  • Active and Passive Voice
  • Spotting Errors
  • Synonyms
  • Antonyms
  • Joining Sentences
  • Fill in the blanks
  • Sentence Completion
  • Passage Completion
  • Sentence Arrangement
  • Spelling Test
  • Error Correction (Phrase in Bold)
  • Error Correction (Underlined Part)

Punjab Verka Milkfed Laboratory Assistant Syllabus – Computer Proficiency

  • Uses of Computer.
  • Network Basics.
  • Basics of Computer.
  • Basic Computer Terminology.
  • Typing.
  • Basic internet knowledge and protocols.
  • Computer tools.
  • Document Searching.
  • Website Surfing.
  • Computer Fundamentals.
  • Computer hardware parts and Controls.
  • History of Computer.
  • MS Office.
  • Computer Proficiency Test.
  • Internet Usage.

Punjab Verka Milkfed Clerk Syllabus – Reasoning 

  • PuzzlesVerbal Reasoning
  • Logical Reasoning
  • Non-Verbal Reasoning
  • Data Interpretation
  • Data Sufficiency
  • Analytical Reasoning

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