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Right Answer:
SQL (Structured Query Language) is used in data analysis to query, manipulate, and manage data stored in relational databases. It allows analysts to retrieve specific data, perform calculations, filter results, and aggregate information to derive insights from large datasets.

Right Answer:
Regression analysis is a statistical method used to examine the relationship between one dependent variable and one or more independent variables. It is used to predict outcomes, identify trends, and understand the strength of relationships in data.

Right Answer:
Outliers are data points that significantly differ from the rest of the dataset. They can skew results and affect statistical analyses. To handle outliers, you can:

1. Identify them using methods like the IQR (Interquartile Range) or Z-scores.
2. Remove them if they are errors or irrelevant.
3. Transform them using techniques like log transformation.
4. Use robust statistical methods that are less affected by outliers.
5. Analyze them separately if they provide valuable insights.

Right Answer:
To handle missing data in a dataset, you can use the following methods:

1. **Remove Rows/Columns**: Delete rows or columns with missing values if they are not significant.
2. **Imputation**: Fill in missing values using techniques like mean, median, mode, or more advanced methods like KNN or regression.
3. **Flagging**: Create a new column to indicate missing values for analysis.
4. **Predictive Modeling**: Use algorithms to predict and fill in missing values based on other data.
5. **Leave as Is**: In some cases, you may choose to leave missing values if they are meaningful for analysis.

Right Answer:
Data analysis is the process of inspecting, cleaning, and modeling data to discover useful information, draw conclusions, and support decision-making. It is important because it helps organizations make informed decisions, identify trends, improve efficiency, and solve problems based on data-driven insights.

Right Answer:
```c
#include <stdio.h>

unsigned long long factorial(int n) {
if (n == 0)
return 1;
else
return n * factorial(n - 1);
}

int main() {
int number;
printf("Enter a number: ");
scanf("%d", &number);
printf("Factorial of %d = %llun", number, factorial(number));
return 0;
}
```

Right Answer:
Second Normal Form (2NF) is a database normalization level where a table is in First Normal Form (1NF) and all non-key attributes are fully functionally dependent on the entire primary key, meaning there are no partial dependencies on a composite primary key.

Right Answer:
An artificial (derived) primary key is a unique identifier for a database record that is created by the database designer, rather than being derived from the data itself. It is typically a sequential number or a unique string that has no business meaning. It should be used when natural keys are not available, are too complex, or when there is a need for a stable identifier that won't change over time.

Right Answer:
Recursive relationships can lead to complexity and ambiguity in data modeling, making it difficult to enforce constraints and maintain data integrity. To resolve them, you can create a separate linking table to manage the relationships or use additional attributes to clarify the hierarchy or relationship type.

Right Answer:
Joins are used to combine rows from two or more tables based on a related column, while scope relationships define how data is related within a single table or between tables in terms of hierarchy or context, often influencing data visibility and access.

Right Answer:
The third normal form (3NF) is a database normalization rule that requires a table to be in second normal form (2NF) and have no transitive dependencies. This means that all non-key attributes must depend only on the primary key and not on other non-key attributes.

Right Answer:
SQL*Loader is a utility provided by Oracle for loading data from external files into Oracle database tables. It allows for high-speed data loading and supports various data formats.

The difference between SQL*Loader and other data loading methods (like INSERT statements or external tables) is that SQL*Loader is specifically designed for bulk data loading, offering features like data transformation, error handling, and the ability to load data from multiple files efficiently.

Right Answer:
Favorite technology product: Visual Studio - because it offers a powerful integrated development environment (IDE) with great debugging tools and support for multiple languages.

Least favorite technology product: Internet Explorer - due to its slower performance and lack of support for modern web standards compared to other browsers.