Explanation

Control penal menage account of user

Explanation

Input/Output has Direct Access to main memory.

Explanation

One gigabyte (GB) is equal to 1024 megabytes (MB).

So, there are 1024 megabytes in one gigabyte.

1024GB is the correct answer

Explanation

 Computers store data and instructions using binary digits, also known as bits.

Binary digits are represented as 0s and 1s

They are the fundamental building blocks of all data and instructions in digital computing.

Explanation

Malware refers to harmful software like viruses, worms, or ransomware.

It is created to damage, disrupt, or gain unauthorized access to computer systems.

Explanation

A scatter plot is a type of graph used in Exploratory Data Analysis (EDA) to visualize the relationship between two continuous variables. It displays the data points as points on a coordinate grid, with the x-axis representing one variable and the y-axis representing the other.

The primary purpose of a scatter plot is to:

• Show the strength and direction of the relationship between the two variables
• Identify patterns, correlations, or outliers in the data
• Help identify potential relationships that may not be immediately apparent from looking at individual variables

Scatter plots are particularly useful for:

• Identifying linear or non-linear relationships
• Identifying clusters or groups in the data
• Identifying outliers or anomalies

Explanation

The printer that typically has a drum is a laser printer.

Laser printers use a cylindrical drum as part of their printing process.

Explanation

the integrated circuit is a set of electronic circuits on one small flat piece of semiconductor material, usually silicon.

Explanation

• A deterministic Turing machine can simulate a non-deterministic Turing machine without using extra time, but it may require more space.
• This is because a deterministic Turing machine can try all possible branches of a non-deterministic Turing machine in parallel, using more space to store the different branches.

Explanation

• The metric that is commonly used to evaluate classification models and represents the ratio of correctly predicted positive instances to all positive instances is recall.
• Recall is a measure of a classifier’s completeness, and it is also known as sensitivity, hit rate, or true positive rate (TPR).
• The formula for recall is the number of true positives divided by the sum of true positives and false negatives.