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  EMRS STAFF SELECTION EXAM (ESSE)-2025 ESSE 2025 Tier-2 Examination TGT/PGT Computer Science (Mock Paper)                Time: 3 Hours                          Maximum Marks: 100                  Syllabus Link : Check here Instructions: 1. Section A consists of 40 Multiple Choice Questions (1 mark each). 2. Section B consists of 15 Descriptive Questions (4 marks each). 3. All questions are compulsory. Section A: Multiple Choice Questions (40 × 1 = 40 Marks) 1. Which memory is fastest in a computer system? (a) RAM (b) Cache (c) Hard Disk (d) ROM 2. Which unit performs arithmetic and logical operations? (a) Control Unit (b) ALU (c) Register (d) Cache 3. 1 KB is equal to: (a) 1000 bytes (b) 1024 bytes (c) 1024 bits (d) 100 bits 4. Which software acts as an interface between user and hardware? (a) Compiler (b) OS (c) ...

EMRS Computer Science Syllabus For ESSE 2025 Tier-2 Examination TGT Computer Science Computer Systems and Organisation • Basic Computer Organisation: Introduction t o computer system, hardware, software , input device, output device, CPU, memory (primary, cache and secondary), u n i t s of memory (Bit, Byte, KB, MB, GB, TB, PB), Overview of computer memory systems, including semiconductor main memory and cache memory, Advanced DRAM organization and memory hierarchy • Types of software: system software (operating systems, system utilities, device drivers), programming tools and language translators (assembler, compiler & interpreter), application software • Operating system (OS): functions of operating system, OS user interface • Boolean logic: NOT, AND, OR, NAND, N O R, XOR, truth table, De Morgan’s laws and logic circuits • Number system: Binary, Octal, Decimal and Hexadecimal number system; conversion  between number systems. • Encoding schemes: ASCII, ISCII and UNICODE (UTF8...

Web Intelligence and Big Data Unit 3 & 4 PYQ 1 (a) How the data from different universe/ sources and projects can be combined in a single reports. Explain. (6) In order to combine data from different universes, sources, or projects into a single report, several techniques can be employed. Here's an explanation of how this can be done: Data Integration: Data integration involves gathering data from various sources and unifying it into a consistent format. This can be achieved through Extract, Transform, Load (ETL) processes, where data is extracted from different sources, transformed to a standardized format, and loaded into a central repository or data warehouse. Data Mapping: Data mapping is the process of matching and aligning data elements from different sources to ensure compatibility. It involves identifying common fields or attributes in the datasets and establishing relationships between them. This allows for a coherent merging of data into a single report. Data Cleans...