10 Most Important Topics for for Cracking Aptitude of any Company
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Cracking Aptitude


The 10 Most Important Topics for for Cracking Aptitude of any Company. The best way to crack an aptitude test is by understanding the topics that are being tested for. There are many technicalities involved in the preparation of aptitude tests and it is only possible if you have a thorough knowledge about these topics. In this article we will discuss 10 most important topics for cracking your next recruitment drive.

1. OOPs

OOPs is an Object Oriented Programming (OOP) which is a methodology to develop software applications. In this article we will discuss what OOPs is, how it can be used to develop the GUI applications and databases, why it’s important for developers to understand how algorithms work and how they can be applied in their day-to-day work.

2. Data Structure and Algorithm

Data structure is a way to organize data. A data structure organizes the elements of a given type into a collection which can be accessed efficiently by one or more program elements. In other words, it’s a way to organize your data so you can use it later without having to go through all of them at once.

A computer program uses algorithms (statements) that operate on these structures in order to accomplish its tasks as efficiently as possible. For example, if you want your computer system’s operating system (OS) system files sorted alphabetically according to their names, then one could write an algorithm that runs through each file in turn until all have been checked off; then move onto the next step with another letter – B for example – until all available letters have been used up before moving onto another letter such as X….

3. Database and Management

A database is the main component of any Database Management System (DBMS). The term “database management system” can refer to both the software used to manipulate data, and also to the physical hardware on which it runs. A DBMS contains various components, including an engine for storing and retrieving data, as well as a query language for accessing that stored data.

4. SQL

SQL is a query language that can be used to retrieve data from a database. It’s a standard language used by most databases, which means it’s easy to learn and understand.

SQL is used to insert, modify, delete and update data in a database. It also allows you to create new tables within your database using the CREATE statement; delete existing ones using DROP; set permissions on tables, procedures and views in your database; query information from your table(s).

5. Reasoning (Logical Problem solving in Programming language)

Logical reasoning is a part of logical thinking. It is the ability to reason logically and draw conclusions from given information.

The main steps involved in logical reasoning are understanding the problem, collecting necessary information and analyzing the validity of conclusions. The process begins with identifying what you want to achieve by using your knowledge of mathematics or science (or any other relevant subject).

You then collect different pieces of information about your topic; for example if it’s about maths then you would collect data on angles etcetera that could help you solve puzzles related to angles when solving problems such as “If A = B + C” or “If x2 = 4x +1”.

After gathering all necessary data together then comes drawing conclusions based on those facts which can be used later on when solving further problems relating back towards what happened at first place before starting out again with another puzzle needing solutions instead

6. Complexity based Problems
  • Complexity based Problems are a type of problem where the complexity of the program is calculated.
  • Complexity based Problems are also known as Time Complexity based Problems.
  • Complexity based Problems may be of two types:
  • Best Case Complexity (BCC)

This type of complexity considers only worst-case scenarios and takes into account all possible input values for each step in your algorithm, including all possible branches at each branch point. It assumes that there will be no looping or recursion during execution time estimation, but it does not account for parallelization effects since these cannot be predicted at this level.

7. Graphical based analysis

Graphical based analysis is the use of graphs to represent data. It can be used to compare different sets of data, find patterns, and understand relationships between variables. Graphs are useful for presenting information in a clear way and making conclusions from them easier.

In this section you will learn about several types of graphs that are commonly used in business: pie charts, bar charts and line graphs. You will also see how these types of graphs can be combined together to achieve more complex results such as histograms (which show frequency distribution), scatter plots (to show relationship between two or more sets of values) and combination graphics like polar area diagrams which allow us to compare two data series over time by converting them into percentages so we can see how they change over time too!

8. Basic Quantitative Aptitude

This section is about the basic quantitative aptitudes and their importance. Candidates should be able to understand and solve problems using the concepts of Average, Median, Mode, Range, Standard Deviation etc.

Candidates should be able to solve problems using Permutation and Combination (P&C) concepts.

They must also be adept in solving problems using probability theory so that they can answer questions related to this topic.

9. Passage Reading

Passage reading is a test of reading ability, and understanding of the passage. It is also known as Reading Comprehension.

The passage is a set of questions based on the passage. The candidate has to read through all these questions and answer them correctly in order to clear this section.

Passage Analysis consists of analyzing one or two paragraphs at a time from different chapters in order to understand their structure, style, tone and purpose etc., so that you can have an idea about what exactly you need to study further before attempting your next level exam(s).

10. Be proficient in all the most important topics to shine out of the crowd

The most important topics are OOPs, Data Structure and Algorithm, Proficient Programming in OOPs, Database and Management, SQL, Logical Problem solving in Programming language, Complexity based Problems, Reasoning Problems etc. These topics will help you to master the algorithms and become proficient in programming.

These topics are also necessary for every field. Graphical based analysis is important for this technological era as it helps you identify problems through graphs or pictures that can be used for reflection or decision making process at work place.

Passage Reading also needs to be learnt by everyone because every company requires it from their employees to do complete reading of documents required by them on daily basis which makes them more efficient at work place than others who do not know how to read documents properly


I hope that you can clear your doubts by preparing for the aptitude test. If you are planning to take up any IT related job then it is important to crack the aptitude test in order to get a good job. You can prepare yourself by practicing online or offline as per your convenience and schedule. I am sure that after following the above article your confidence level will increase which will help you score high in this test and make it easy for you to get into a good company.

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