This code attempts to fuse two strings together. So,
fuse("Apple", "Banana")
would return "ABpapnlaen a"
However, there are a couple of things wrong with this code:
- The for loop is incomplete (probably a copy paste error)
- It is unclear from the code if the array jawaban will overflow if kata1 and kata2 are large (it probably will)
- Biggest problem: the jawaban array is declared on the stack, which means it will be cleaned up when the function returns. So the caller of this function will reference unallocated memory! This is a huge bug!!
Answer:
Following are the program definition in the Java Programming Language.
//define a class
public class Clock
{
//set integer type variable and initialize value
private int hours=12;
//set boolean type variable and initialize value
private boolean isTicking=true;
//set integer type variable and initialize value
private Integer diff=5;
}
Explanation:
Following are the description of Code.
- Firstly define a class "Clock" with the "private" access modifier.
- Then, set the integer data type variable "hours" with the "private" access modifier and assign value 12 in that class.
- After that, set the boolean data type variable "isTicking" with the "private" access modifier and assign value "true".
- Finally set Integer class variable "diff" with the the private access modifier and assign value 5.
Answer: The tools which are required to accomplish each step in the data management process are:
1. Cloud Data Management tools.
2. Master Data Management (MDM) tools.
3. Reference Data Management (RDM) tools.
4. ETL tools.
5. Data visualization and analytics tools
Explanation:
Cloud Data Management tools with the help of various API's are able to connect multiples system with their data to the cloud. examples are amazon cloud, google API cloud.
MDM tools are used for creation and maintenance of reference data. example are Profisee
RDM tools is used with the MDM tools and are use to define the businesss processes over the reference data. Examples are Collibra.
ETL tools helps to load data of an organisation to data warehouses after transformation and testing the data pipeline constituting the data from different databases.
Data visualization analytics tools helps to extract and generate report from the big sets of data which can help an organisation to take business decisions.