Technology Questions

A cookie is a small text file on the client machine either in the client’s file system or memory of client browser session.

Notices, Warnings and Fatal errors are the types of errors in PHP

Notices: 

Notices represents non-critical errors, i.e. accessing a variable that has not yet been defined. By default, such errors are not displayed to the user at all but whenever required, you can change this default behavior.

Warnings: 

Warnings are more serious errors but they do not result in script termination. i.e calling include() a file which does not exist. By default, these errors are displayed to the user.

Fatal errors: 

Fatal errors are critical errors i.e. calling a non-existent function or class. These errors cause the immediate termination of the script.

CURSOR STABILITY:

- CS is a row level locking

- Acquires an exclusive lock on the row that is to be updated

- When the control is moved to the next updatable row, the lock is released

REPEATABLE READ:

- RR is a page level locking

- Acquires an exclusive lock on the entire page which is the source of row availability

- When the control is moved to the next updatable page the lock is released

End of file  (10)

Duplicate key (22)

Record not found (23)

VSAM logic error  (90)

Open problem  (92)

Space problem (93)

Node.js uses a single threaded model with event looping.

There are many algorithms that can be used to analyze the database to check the maintenance of all the data sets that are already present. The different types of cluster models include as follows:

- Connectivity models: these are the models that connect one cluster to another cluster. This includes the example of hierarchical clustering that is based on the distance connectivity of one model to another model. 

- Centroid models: these are the models that are used to find the clusters using the single mean vector. It includes the example of k-means algorithm.

- Distribution models: it includes the specification of the models that are statistically distributed for example multivariate normal distribution model.

- Density models: deals with the clusters that are densely connected with one another in the regions having the data space. 

- Group models: specifies the model that doesn’t provide the refined model for the output and just gives the grouping information

A prompt box allows the user to enter input by providing a text box.

1) List down usecases (taken from business cases) from function specs. For each use case write a test case and categorize them into sanity tests, functionality, GUI, performance etc. Then for each test case, write its workflow. 

2) For a GUI application - make a list of all GUI controls. For each control start writing test cases for testing of the control UI, functionality (impact on the whole application), negative testing (for incorrect inputs), performance etc.