Ages of Operating Systems👨🏻‍💻😎

📂 Windows 11 (3 years old)
🪟 Windows 10 (8 years old)
🍎 macOS Yosemite (10 years old)
🐉 Kali Linux (11 years old)
💻 Windows 8 (12 years old)
🌐 Manjaro (11 years old)
💻 Windows 7 (14 years old)
🖥️ Windows Vista (17 years old)
🌿 Linux Mint (18 years old)
🐧 Ubuntu (20 years old)
⚙️ Fedora (20 years old)
🔧 OpenSUSE (20 years old)
⚙️ CentOS (20 years old)
🐧 Arch Linux (22 years old)
🍏 macOS (22 years old)
💻 Windows XP (23 years old)
🖥️ Windows 2000 (24 years old)
📱 Windows 98 (25 years old)
🌍 Windows 95 (28 years old)
💻 Windows 3.1 (29 years old)
🖥️ OS/2 (32 years old)
🐧 Debian (31 years old)
🔴 Red Hat Linux (30 years old)
🎮 AmigaOS (34 years old)
🖥️ Xenix (40 years old)
📀 VMS (44 years old)
💾 MS-DOS (42 years old)
💾 CP/M (49 years old)
🖥️ Unix (54 years old)

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Data Analyst Scenario based Question and Answers 👇👇

1. Scenario: Creating a Dynamic Sales Growth Report in Power BI
Approach:
Load Data: Import sales data and calendar tables.
Data Model: Establish a relationship between the sales and calendar tables.
Create Measures:
Current Sales: Current Sales = SUM(Sales[Amount]).
Previous Year Sales: Previous Year Sales = CALCULATE(SUM(Sales[Amount]), DATEADD(Calendar[Date], -1, YEAR)).
Sales Growth: Sales Growth = [Current Sales] - [Previous Year Sales].
Visualization:
Use Line Chart for trends.
Use Card Visual for displaying numeric growth values.
Slicers and Filters: Add slicers for selecting specific time periods.

2. Scenario: Identifying Top 5 Customers by Revenue in SQL
Approach:
Understand the Schema: Know the relevant tables and columns, e.g., Orders table with CustomerID and Revenue.
SQL Query:
SELECT TOP 5 CustomerID, SUM(Revenue) AS TotalRevenue
FROM Orders
GROUP BY CustomerID
ORDER BY TotalRevenue DESC;

3. Scenario: Creating a Monthly Sales Forecast in Power BI
Approach:
Load Historical Data: Import historical sales data.
Data Model: Ensure proper relationships.
Time Series Analysis:
Use built-in Power BI forecasting features.
Create measures for historical and forecasted sales.
Visualization:
Use a Line Chart to display historical and forecasted sales.
Adjust Forecast Parameters: Customize the forecast length and confidence intervals.

4. Scenario: Updating a SQL Table with New Data
Approach:
Understand the Schema: Identify the table and columns to be updated.
SQL Query:
UPDATE Employees
SET JobTitle = 'Senior Developer'
WHERE EmployeeID = 1234;

5. Scenario: Creating a Custom KPI in Power BI
Approach:
Define KPI: Identify the key performance indicators.
Create Measures:
Define the KPI measure using DAX.
Visualization:
Use KPI Visual or Card Visual.
Configure the target and actual values.
Conditional Formatting: Apply conditional formatting based on the KPI thresholds.

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Top 10 CSS Interview Questions

1. What is CSS and what are its key features?
CSS (Cascading Style Sheets) is a stylesheet language used to describe the presentation of a document written in HTML or XML. Its key features include controlling layout, styling text, setting colors, spacing, and more, allowing for a separation of content and design for better maintainability and flexibility.

2. Explain the difference between inline, internal, and external CSS.
- Inline CSS is applied directly within an HTML element using the style attribute.
- Internal CSS is defined within a