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How to Prepare For Infosys IY0-050 Certification

Preparation Guide for Infosys IY0-050 Certification

Introduction for Infosys IY0-050 Certification

In today's high competition era, it is always required to have something extra to beat the competition. Infosys came up with the Infosys InfyTQ certification Exam (or generally termed as InfyTQ). Now, you must be curious to know what is InfyTQ Exam? InfyTQ is a certification examination that examines your industry readiness by analyzing your knowledge in programming and databases. The best part about InfyTQ is that upon clearing the examination, you get an opportunity to be interviewed directly for a job at Infosys.

The requirements for the exam are:

  • However, neither there is required a minimum percentage nor there is any age restriction to register for Infosys Certification. (Just make sure that your graduating year is as per the requirements.)
  • Firstly, you need to be registered for the Infosys Certification. You can register yourself from the official website i.e., infytq.infosys.com
  • Also, you must be a student of B.E., B. Tech, M.E., M. Tech, M.Sc., MCM, or MCA completing your degree course in the upcoming next year. For example, if you are applying InfyTQ 2020, you must be graduating in 2021.
  • After qualifying the Qualifier Round and scoring 65% or above in the Final Round, you will get Infosys Certification and will be eligible for the interview at Infosys.

Infosys Certification is a technical examination. Learners on InfyTQ, the Infosys learning and engagement platform, will have an advantage over others as the certification examination will be based on the four Foundation courses available on InfyTQ, namely Programming Fundamentals using Python, Object Oriented Programming using Python, Data Structures and Algorithms using Python, and Learning DBMS and SQL.

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Topics of Infosys IY0-050 Certification

INFOSYS IY0-050 exam dumps pdf will include the following topics:

  • Object-oriented Programming using Python
  • DBMS and SQL
  • Data Structures and Algorithms using Python
  • Basics of Programming using Python

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Infosys IY0-050 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Logical Reasoning & Technical Problem Solving14%- Algorithm Logic & Pseudocode Interpretation
  • 1. Time & Space Complexity Basics
    • 2. Flowchart Output Prediction
      Topic 2: Relational Database & SQL Operations22%- Advanced SQL Query Construction
      • 1. Transaction Control & Basic Stored Procedures
        • 2. Joins, Subqueries & Aggregate Functions
          - Database Schema & Entity Relationship Design
          • 1. Normalization, Primary & Foreign Keys
            • 2. Table Creation & Constraint Configuration
              Topic 3: Software Development Lifecycle & Agile Practices16%- Software Testing & Defect Management
              • 1. Defect Logging, Severity Classification & Closure
                • 2. Functional, Integration & Regression Testing
                  - Agile Scrum Core Workflow & Ceremonies
                  • 1. User Story Writing & Acceptance Criteria
                    • 2. Sprint Planning, Daily Standup & Retrospective
                      Topic 4: Infosys Corporate Service Framework & Compliance18%- Data Security & Corporate Code of Ethics
                      • 1. Global Regulatory Compliance Basics
                        • 2. Confidential Data Handling Protocols
                          - Core Business Service Offerings & Industry Verticals
                          • 1. Client Engagement Governance Standards
                            • 2. Digital Transformation & Cloud Service Lines
                              Topic 5: Programming Fundamentals & Python Development30%- Basic Syntax, Control Flow & Functions
                              • 1. Loops, Conditionals & Error Handling
                                • 2. Modular Function & Reusable Code Design
                                  - Object-Oriented Programming & Data Structures
                                  • 1. Lists, Dictionaries, Stacks & Queues
                                    • 2. Class, Object, Inheritance & Polymorphism

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