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IBPS Programming Assistant Grade B 2026 Free Mock Test Practice
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IBPS Programming Assistant Grade B 2026 Exam Free Online Question Bank
IBPS Programming Assistant Grade B Syllabus 2026, Exam Pattern
IBPS Programming Assistant Syllabus 2026, Exam Pattern, Exam Date 2026
Detail Information about IBPS has published notification 2026 for the recruitment of Programming Assistant vacancies. Those Candidates who are Interested to the following vacancy and completed all Eligibility Criteria can read the Notification & Apply Online. In this page we provide the Complete Syllabus of this Recruitment with Latest Update Exam Pattern and the Exam Date also.
IBPS Programming Assistant Syllabus 2026 - Overview
| Organisation | Institute of Banking Personnel Selection (IBPS) |
| Advertisement Number | IBPS/2026-27/06 |
| Post Names | Programming Assistant |
| Grade | Grade B |
| Total Post | Notified Soon |
| Online Examination and Interview | November 2026 (Tentative) |
| Application Mode | Online |
| Category | Syllabus and Exam Pattern |
| Selection Process | Document Verification, Online Exam and Interview |
| Official Website | www.ibps.in |
IBPS Programming Assistant Syllabus 2026
1.Aptitude :
1. Percentages
2. Simplification
3. Time and Distance Equations
4. Simple and Compound Interest
5. Surds and Indices
6. Work and Time Equations
7. Mixtures and Alligations
8. Mensuration: Cylinder, Cone, Sphere and Cuboid
9. Data Interpretation
10. Probability
11. Profit and Loss
12. Number Systems
13. Measures of Central Tendency and Variation
14. Permutation and Combination
15. Series and Sequences
16. Ratio And Proportion
2. Professional Knowledge Syllabus:
1. Unix / Linux Environment & File Handling :
Core Architecture: Kernel vs. User space, directory structure (`/bin`, `/etc`, `/var`, `/tmp`, `/usr`), and absolute vs. relative paths.
Command-Line Operations: Navigation and directory management (`ls`, `cd`, `pwd`, `mkdir`, `rmdir`, `cp`, `mv`, `rm`).
Text Processing & Inspection: `cat`, `more`, `less`, `head`, `tail`, `wc`, `diff`, `cmp`, and `cut`.
The `vi` / `vim` Editor:
Modes of operation: Command mode, Insert mode, and Last-line/Ex mode.
Navigation shortcuts, text search/replace patterns (`/`, `?`, `:%s/old/new/g`), deleting/yanking (`dd`, `yy`, `p`), line numbering, and saving/quitting commands (`:wq`, `:q!`, `:x`).
Permissions & Ownership: Standard Linux file permissions (`rwx`), permission notation (octal and symbolic), `chmod`, `chown`, `chgrp`, and default file creation masks (`umask`).
2. Shell Scripting, Parameter Passing & Batch Execution :
Process Execution: Executing compiled binaries and shell scripts, passing command-line positional parameters (`$0`, `$1`, `$@`, `$*`, `$#`), and exit status checks (`$?`).
Standard Streams & Redirection: Standard Input (`stdin` / 0), Standard Output (`stdout` / 1), Standard Error (`stderr` / 2), redirection operators (`>`, `>>`, `2>`, `2>&1`), and pipeline mechanics (`|`).
Text Filters & Pattern Matching: Regular expressions (regex), stream filtering using `grep`, `egrep`, pattern scanning using `awk`, and stream transformations using `sed`.
Automation & Job Scheduling: Background/foreground process management (`&`, `nohup`, `ps`, `kill`), batch job execution, and cron jobs (`crontab` syntax and fields).
Network File Transfers: Protocols and commands for remote server file transfer (`scp`, `sftp`, `rsync`, `ftp`).
3. Programming Logic & Python :
Programming Core: Variables, primitive data types, type casting, arithmetic, logical and bitwise operators.
Control Structures: Conditional branching (`if-elif-else`), loops (`for`, `while`), loop control (`break`, `continue`, `pass`).
Python Data Structures: Lists, Tuples, Dictionaries, Sets, list comprehensions, and slicing operations.
Functions & Modular Programming: Defining functions, variable scope, keyword arguments, `*args`, `kwargs`, and importing modules.
File I/O Operations in Python:
Opening modes (`r`, `w`, `a`, `rb`, `wb`), `with open(...)` contextual blocks.
Reading and writing raw text, `.csv` parsing (`csv` module), and fixed-width/delimiter-separated data extraction.
Exception Handling: `try`, `except`, `finally`, `raise`, and standard runtime error handling.
Algorithmic Fundamentals: Searching algorithms (Linear and Binary Search), sorting algorithms (Bubble, Insertion, Merge Sort), and space/time complexity basics.
Legacy Programming Awareness: Basic syntax concepts and structural flow of scientific/data computation (e.g., historical FORTRAN syntax/variable structures used in batch data processing setups).
4. Database Management Systems (DBMS) & Data Extraction :
Relational Concepts: Tables, records, fields, keys (Primary Key, Candidate Key, Foreign Key, Unique Key).
SQL Queries:
DDL: `CREATE`, `ALTER`, `DROP`, `TRUNCATE`.
DML: `SELECT`, `INSERT`, `UPDATE`, `DELETE`.
Data Retrieval & Manipulation: Filtering (`WHERE`, `LIKE`, `IN`, `BETWEEN`), sorting (`ORDER BY`), grouping and aggregation (`GROUP BY`, `HAVING`, `SUM`, `AVG`, `COUNT`, `MIN`, `MAX`).
Joins & Subqueries: `INNER JOIN`, `LEFT JOIN`, `RIGHT JOIN`, `FULL JOIN`, and nested queries.
Data Integrity: Constraints (NOT NULL, CHECK, DEFAULT), transactions, and basic ACID properties.
5. Data Handling, Validation & MS Excel Reporting:
Excel Data Processing: Importing text/CSV delimited files into structured tables, Data Validation rules, removing duplicates, and text-to-columns splitting.
Lookup & Reference Functions: `VLOOKUP`, `HLOOKUP`, `INDEX`, `MATCH`, and `XLOOKUP`.
Logical & Conditional Functions: `IF`, `IFS`, nested `IF`, `COUNTIF`, `COUNTIFS`, `SUMIF`, `SUMIFS`, `AND`, `OR`.
Data Summary & Analysis: Pivot Tables, Pivot Charts, grouping data, and generating summarized operational/MIS reports.
Data Sanitation: Cleaning messy inputs using text functions (`TRIM`, `CLEAN`, `CONCATENATE` / `TEXTJOIN`, `LEFT`, `RIGHT`, `MID`).
Core Architecture: Kernel vs. User space, directory structure (`/bin`, `/etc`, `/var`, `/tmp`, `/usr`), and absolute vs. relative paths.
Command-Line Operations: Navigation and directory management (`ls`, `cd`, `pwd`, `mkdir`, `rmdir`, `cp`, `mv`, `rm`).
Text Processing & Inspection: `cat`, `more`, `less`, `head`, `tail`, `wc`, `diff`, `cmp`, and `cut`.
The `vi` / `vim` Editor:
Modes of operation: Command mode, Insert mode, and Last-line/Ex mode.
Navigation shortcuts, text search/replace patterns (`/`, `?`, `:%s/old/new/g`), deleting/yanking (`dd`, `yy`, `p`), line numbering, and saving/quitting commands (`:wq`, `:q!`, `:x`).
Permissions & Ownership: Standard Linux file permissions (`rwx`), permission notation (octal and symbolic), `chmod`, `chown`, `chgrp`, and default file creation masks (`umask`).
2. Shell Scripting, Parameter Passing & Batch Execution :
Process Execution: Executing compiled binaries and shell scripts, passing command-line positional parameters (`$0`, `$1`, `$@`, `$*`, `$#`), and exit status checks (`$?`).
Standard Streams & Redirection: Standard Input (`stdin` / 0), Standard Output (`stdout` / 1), Standard Error (`stderr` / 2), redirection operators (`>`, `>>`, `2>`, `2>&1`), and pipeline mechanics (`|`).
Text Filters & Pattern Matching: Regular expressions (regex), stream filtering using `grep`, `egrep`, pattern scanning using `awk`, and stream transformations using `sed`.
Automation & Job Scheduling: Background/foreground process management (`&`, `nohup`, `ps`, `kill`), batch job execution, and cron jobs (`crontab` syntax and fields).
Network File Transfers: Protocols and commands for remote server file transfer (`scp`, `sftp`, `rsync`, `ftp`).
3. Programming Logic & Python :
Programming Core: Variables, primitive data types, type casting, arithmetic, logical and bitwise operators.
Control Structures: Conditional branching (`if-elif-else`), loops (`for`, `while`), loop control (`break`, `continue`, `pass`).
Python Data Structures: Lists, Tuples, Dictionaries, Sets, list comprehensions, and slicing operations.
Functions & Modular Programming: Defining functions, variable scope, keyword arguments, `*args`, `kwargs`, and importing modules.
File I/O Operations in Python:
Opening modes (`r`, `w`, `a`, `rb`, `wb`), `with open(...)` contextual blocks.
Reading and writing raw text, `.csv` parsing (`csv` module), and fixed-width/delimiter-separated data extraction.
Exception Handling: `try`, `except`, `finally`, `raise`, and standard runtime error handling.
Algorithmic Fundamentals: Searching algorithms (Linear and Binary Search), sorting algorithms (Bubble, Insertion, Merge Sort), and space/time complexity basics.
Legacy Programming Awareness: Basic syntax concepts and structural flow of scientific/data computation (e.g., historical FORTRAN syntax/variable structures used in batch data processing setups).
4. Database Management Systems (DBMS) & Data Extraction :
Relational Concepts: Tables, records, fields, keys (Primary Key, Candidate Key, Foreign Key, Unique Key).
SQL Queries:
DDL: `CREATE`, `ALTER`, `DROP`, `TRUNCATE`.
DML: `SELECT`, `INSERT`, `UPDATE`, `DELETE`.
Data Retrieval & Manipulation: Filtering (`WHERE`, `LIKE`, `IN`, `BETWEEN`), sorting (`ORDER BY`), grouping and aggregation (`GROUP BY`, `HAVING`, `SUM`, `AVG`, `COUNT`, `MIN`, `MAX`).
Joins & Subqueries: `INNER JOIN`, `LEFT JOIN`, `RIGHT JOIN`, `FULL JOIN`, and nested queries.
Data Integrity: Constraints (NOT NULL, CHECK, DEFAULT), transactions, and basic ACID properties.
5. Data Handling, Validation & MS Excel Reporting:
Excel Data Processing: Importing text/CSV delimited files into structured tables, Data Validation rules, removing duplicates, and text-to-columns splitting.
Lookup & Reference Functions: `VLOOKUP`, `HLOOKUP`, `INDEX`, `MATCH`, and `XLOOKUP`.
Logical & Conditional Functions: `IF`, `IFS`, nested `IF`, `COUNTIF`, `COUNTIFS`, `SUMIF`, `SUMIFS`, `AND`, `OR`.
Data Summary & Analysis: Pivot Tables, Pivot Charts, grouping data, and generating summarized operational/MIS reports.
Data Sanitation: Cleaning messy inputs using text functions (`TRIM`, `CLEAN`, `CONCATENATE` / `TEXTJOIN`, `LEFT`, `RIGHT`, `MID`).
IBPS Programming Assistant Exam Pattern 2026
Duration: 90 Minutes
Negative Marking : 0.25
| Sr. No | Subject | No.of Question | Marks | Duration |
| 1. | Aptitude | 50 | 50 | Composite time of 90 minutes |
| 2. | Professional Knowledge (Programming Assistant) | 50 | 50 | |
| Total | 100 | 100 |
IBPS Programming Assistant Exam Date 2026 : November 2026 (Tentative)
Starting Date of Application Form : 29th October 2026
Last Date of Application Form : 12th November 2026
FAQs
IBPS Programming Assistant Grade B 2026 Exam Syllabus Frequently Asked Questions (FAQ's)
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