Answer:
Data Masking
Explanation:
Data masking, also known as data obfuscation, is a process companies use to hide data. The main reason for applying masking to a data field is to protect data that is classified as personally identifiable information, sensitive personal data, or commercially sensitive data. Imagine a scenario where your organization is working with a contractor to build a database. Masking your data allows the contractor to test the database environment without having access to actual sensitive customer information.
b. Start menu
c. Details menu
d. File menu
B. Make sure the input data is processed and stored correctly.
C. Make sure company policies are followed when data is input.
D. Make sure to capture transaction data and enter them into the system.
Answer:
The answer to this question is options A,C and D.
Explanation:
The different steps when processing input are as following:-
Among the options given in the question the options written above are the steps that are used in the processing input.
Answer:
Explanation:
MATLAB is a programming language and software platform for numerical computing, data analysis, and visualization. To use MATLAB, you can perform the following steps:
These are just a few of the many ways to use MATLAB. Whether you're a beginner or an advanced user, MATLAB provides a wide range of capabilities for numerical computing, data analysis, and visualization.
Example:
Here's a simple example of how to use MATLAB to plot a sine wave:
% Define the x-axis values
x = 0:0.1:10;
% Calculate the sine values
y = sin(x);
% Plot the sine wave
plot(x,y)
% Label the axes
xlabel('x (radians)')
ylabel('sin(x)')
% Add a title to the plot
title('Sine Wave Plot')
This code defines the x-axis values from 0 to 10 with increments of 0.1. It then calculates the sine values for each x value using the sin() function. The plot() function is used to create a line plot of the sine wave, with x values on the x-axis and y values on the y-axis. The xlabel() and ylabel() functions are used to label the x and y axes, respectively, and the title() function is used to add a title to the plot.
This is a very simple example, but it demonstrates the basic steps involved in using MATLAB to plot data. Whether you're working with simple plots or complex computations, MATLAB provides a powerful platform for data analysis and visualization.
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Images or graphics have two key qualities which can impact the nature of the overall presentation or document they form part of:
The size of an image or graphics can be in terms of area (measurable in inches or centimeters) or pixels.
In either case, you don't want to have an image so large it takes up all the space on the page with little or no space for text and other items. This can hurt the document.
When documents have images with very large pixels, the overall size (in bytes) of the image becomes very large and sometimes difficult to open, upload, and transfer (subject to the speed or computing power of the computer being used to process it).
One feature of Microsoft Word which helps to optimize images is the Image Compression Tool.
For more about Microsoft Word and images, please see the following link:
Answer:
When images or graphics excessively occupy most of the space on the page.
Explanation:
For example, if you observed the attached image you'll see a bad example in which the image excessively occupies most of the space on the page making the written text difficult to read.
Next, a good example of proper editing is found in the next image, which shows the written text properly aligned with the text.