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How to Prepare For Infosys IY0-060 Certification
Preparation Guide for Infosys IY0-060 Certification
Introduction for Infosys IY0-060 Certification
In today's high competition era, it is always required to have something extra to beat the competition. And in the same context, 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:
- Firstly, you need to be registered for the Infosys Certification. You can register yourself from the official website i.e., infytq.infosys.com
- 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.
- 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.)
- 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.
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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For more info read reference:
Infosys IY0-060 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Database Management & SQL | 20% | - DBMS Basics
|
| Topic 2: Programming Fundamentals | 30% | - Python Basics
|
| Topic 3: Data Structures & Algorithms | 25% | - Core Data Structures
|
| Topic 4: Object-Oriented Programming | 25% | - OOP Concepts in Python
|
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