Technology Questions

AJAX uses four technologies, which are as follows:

       => JavaScript

       => XMLHttpRequest

       => Document Object Model (DOM)

       => Extensible HTML (XHTML) and Cascading Style Sheets (CSS)

Autoboxing is the automatic conversion that the Java compiler makes between the primitive types and their corresponding object wrapper classes. For example, converting an int to an Integer, a double to a Double, and so on. If the conversion goes the other way, this is called unboxing. 

Steps to step through the code in .NET:

1. Start the program in debug mode.


2. When the first breakpoint is reached then step through can be done in one of the two ways:

•  Press F10 to move to next line.


•  Select debug menu and click on step over. This would step over the breakpoint to next level.

       3. Other options are: “Step Into” and “Step Out”.

The process of arranging any items in a systematic manner in a logical sequence is called as Sorting. It can be of two types :

1. Ordering

Arranging items following some criterion like ascending or descending order

2. Categorizing

Grouping items with similar properties together.

Android uses Dalvik Virtual Machine (DVM) which requires a special bytecode. We need to convert Java class files into Dalvik Executable files using an Android tool called "dx". In normal circumstances, developers will not be using this tool directly and build tools will care for the generation of DVM compatible files.

Type checking is the operation on which the arguments that can only be applied for.

Static type checking performs the type checking operation before the execution of the program. To perform this operation, the arguments, expressions, variables must be given a data type.

Dynamic type checking performs the type checking operation at the time of the program execution. To perform this operation, the arguments, expressions, variables must be given a data type.

Data mining is a method for comparing large amounts of data for the purpose of finding patterns. Data mining is normally used for models and forecasting. Data mining is the process of correlations, patterns by shifting through large data repositories using pattern recognition techniques.

Data warehousing is the central repository for the data of several business systems in an enterprise. Data from various resources extracted and organized in the data warehouse selectively for analysis and accessibility.