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✅ Excel Scenario-Based Questions for Interview & Practice 🧠📊
📌 Scenario 61
Question: You have sales data for multiple products and want to calculate the average sales only for products belonging to the "Electronics" category. How would you do it?
Answer: Use AVERAGEIF().
Example:
=AVERAGEIF(A:A,"Electronics",B:B)
This calculates the average sales for the Electronics category.
📊 Scenario 62
Question: Your manager wants to find the percentage change in sales between this month and last month. How would you calculate it?
Answer: Use the percentage change formula:
=(Current_Sales-Previous_Sales)/Previous_Sales
Example:
=(B2-A2)/A2
Format the result as a Percentage.
📅 Scenario 63
Question: You need to identify whether an order was delivered late based on the promised date and actual delivery date. How would you do it?
Answer: Use IF().
Example:
=IF(C2>B2,"Late","On Time")
Where B2 is the promised date and C2 is the actual delivery date.
📈 Scenario 64
Question: You need to calculate the total number of sales transactions, excluding blank cells. How would you do it?
Answer: Use COUNT().
Example:
=COUNT(B2:B1000)
This counts cells containing numeric values.
🔍 Scenario 65
Question: Your dataset has inconsistent country names such as "India", "india", and "INDIA". How can you standardize them?
Answer: Use UPPER(), LOWER(), or PROPER() depending on the required format.
Example:
=PROPER(A2)
This converts variations such as "india" and "INDIA" into "India".
💬 Double Tap ♥️ For More!
📌 Scenario 61
Question: You have sales data for multiple products and want to calculate the average sales only for products belonging to the "Electronics" category. How would you do it?
Answer: Use AVERAGEIF().
Example:
=AVERAGEIF(A:A,"Electronics",B:B)
This calculates the average sales for the Electronics category.
📊 Scenario 62
Question: Your manager wants to find the percentage change in sales between this month and last month. How would you calculate it?
Answer: Use the percentage change formula:
=(Current_Sales-Previous_Sales)/Previous_Sales
Example:
=(B2-A2)/A2
Format the result as a Percentage.
📅 Scenario 63
Question: You need to identify whether an order was delivered late based on the promised date and actual delivery date. How would you do it?
Answer: Use IF().
Example:
=IF(C2>B2,"Late","On Time")
Where B2 is the promised date and C2 is the actual delivery date.
📈 Scenario 64
Question: You need to calculate the total number of sales transactions, excluding blank cells. How would you do it?
Answer: Use COUNT().
Example:
=COUNT(B2:B1000)
This counts cells containing numeric values.
🔍 Scenario 65
Question: Your dataset has inconsistent country names such as "India", "india", and "INDIA". How can you standardize them?
Answer: Use UPPER(), LOWER(), or PROPER() depending on the required format.
Example:
=PROPER(A2)
This converts variations such as "india" and "INDIA" into "India".
💬 Double Tap ♥️ For More!
❤2
🔥 SQL Interview Concept You MUST Know: CASE WHEN
It lets you categorize, transform, and analyze data without modifying the original table.
📌 Key points:
🔹
🔹 Creates custom categories based on conditions
🔹 Works with
🔹 Makes reports more meaningful and easier to understand
🔹 Ends with
💡 Common interview use cases:
✅ Categorizing customers by spending
✅ Creating salary or age bands
✅ Replacing NULL or missing values
✅ Building custom status labels
✅ Conditional aggregations using
❤️ React if you want more SQL interview concepts explained in a simple way.
CASE WHEN is one of the most commonly used SQL concepts for creating conditional logic inside your queries.It lets you categorize, transform, and analyze data without modifying the original table.
📌 Key points:
🔹
CASE WHEN → Adds IF-ELSE logic to SQL🔹 Creates custom categories based on conditions
🔹 Works with
SELECT, ORDER BY, GROUP BY, and aggregates🔹 Makes reports more meaningful and easier to understand
🔹 Ends with
END to return the final result💡 Common interview use cases:
✅ Categorizing customers by spending
✅ Creating salary or age bands
✅ Replacing NULL or missing values
✅ Building custom status labels
✅ Conditional aggregations using
SUM() or COUNT()❤️ React if you want more SQL interview concepts explained in a simple way.
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Upgrade your skills with *SWAYAM*, an initiative by the Government of India!
✅ Learn from leading institutes and expert educators
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✅ Learn online at your own pace
✅ Strengthen your résumé with valuable certifications
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📢 Share this opportunity with your friends and classmates!
🔥 Python Interview Concept You MUST Know: Lambda Functions
Lambda Functions are one of the most frequently asked Python concepts in Data Analyst and Python interviews.
They help you write short, anonymous functions in a single line, making your code cleaner and more concise.
📌 Key points:
🔹
🔹 Best for short, one-line operations
🔹 Often used with
🔹 Reduces the need for small helper functions
🔹 Improves code readability in functional programming
💡 Common interview use cases:
✅ Sorting with custom keys
✅ Filtering datasets
✅ Transforming values with
✅ Quick calculations
✅ Writing concise data-processing logic
❤️ React if you want more Python interview concepts explained in a simple way.
Lambda Functions are one of the most frequently asked Python concepts in Data Analyst and Python interviews.
They help you write short, anonymous functions in a single line, making your code cleaner and more concise.
📌 Key points:
🔹
lambda → Creates anonymous functions🔹 Best for short, one-line operations
🔹 Often used with
map(), filter(), and sorted()🔹 Reduces the need for small helper functions
🔹 Improves code readability in functional programming
💡 Common interview use cases:
✅ Sorting with custom keys
✅ Filtering datasets
✅ Transforming values with
map()✅ Quick calculations
✅ Writing concise data-processing logic
❤️ React if you want more Python interview concepts explained in a simple way.
❤1
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Learning Data Analytics? Don't stop with tutorials — build real projects that you can showcase on your resume and portfolio! 💻
🔥 Practice with 5 Hands-On Projects covering:
🗄️ SQL
📊 Excel
📈 Tableau
📉 Power BI
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❤1
✅ Excel Scenario-Based Questions for Interview & Practice 🧠📊
📌 Scenario 66
Question: You need to calculate the total sales for each region and product category simultaneously. Which Excel function would you use?
Answer: Use SUMIFS()
Example:
=SUMIFS(C:C,A:A,"North",B:B,"Electronics")
This calculates sales where the region is North and category is Electronics.
📊 Scenario 67
Question: Your manager wants to identify the first transaction date for each customer. How would you do it?
Answer: Use MINIFS() in newer Excel versions.
Example:
=MINIFS(B:B,A:A,E2)
Where A:A contains Customer IDs, B:B contains Transaction Dates, and E2 contains the customer to search.
📅 Scenario 68
Question: You need to calculate the number of working days between two dates while excluding company holidays. How would you do it?
Answer: Use NETWORKDAYS()
Example:
=NETWORKDAYS(A2,B2,D2:D10)
Here, D2:D10 contains the holiday dates.
📈 Scenario 69
Question: Your dataset contains sales values with decimals, but the report requires values rounded to the nearest whole number. What would you use?
Answer: Use ROUND()
Example:
=ROUND(B2,0)
This rounds the value in B2 to the nearest whole number.
🔍 Scenario 70
Question: You want to create a dynamic report where users can select a region from a dropdown and see only that region's sales. How would you approach it?
Answer: Create a dropdown using Data Validation and use FILTER() to return matching records.
Example:
=FILTER(A2:D100,C2:C100=G2,"No records found")
Where G2 contains the selected region.
💬 Double Tap ♥️ For More!
📌 Scenario 66
Question: You need to calculate the total sales for each region and product category simultaneously. Which Excel function would you use?
Answer: Use SUMIFS()
Example:
=SUMIFS(C:C,A:A,"North",B:B,"Electronics")
This calculates sales where the region is North and category is Electronics.
📊 Scenario 67
Question: Your manager wants to identify the first transaction date for each customer. How would you do it?
Answer: Use MINIFS() in newer Excel versions.
Example:
=MINIFS(B:B,A:A,E2)
Where A:A contains Customer IDs, B:B contains Transaction Dates, and E2 contains the customer to search.
📅 Scenario 68
Question: You need to calculate the number of working days between two dates while excluding company holidays. How would you do it?
Answer: Use NETWORKDAYS()
Example:
=NETWORKDAYS(A2,B2,D2:D10)
Here, D2:D10 contains the holiday dates.
📈 Scenario 69
Question: Your dataset contains sales values with decimals, but the report requires values rounded to the nearest whole number. What would you use?
Answer: Use ROUND()
Example:
=ROUND(B2,0)
This rounds the value in B2 to the nearest whole number.
🔍 Scenario 70
Question: You want to create a dynamic report where users can select a region from a dropdown and see only that region's sales. How would you approach it?
Answer: Create a dropdown using Data Validation and use FILTER() to return matching records.
Example:
=FILTER(A2:D100,C2:C100=G2,"No records found")
Where G2 contains the selected region.
💬 Double Tap ♥️ For More!
❤7
🔥 SQL Interview Concept You MUST Know: COALESCE
COALESCE is one of the most useful SQL functions for handling missing (NULL) values in your data.
It returns the first non-NULL value from a list of expressions, making your queries cleaner and more reliable.
📌 Key points:
🔹 Replaces NULL values with meaningful defaults
🔹 Returns the first non-NULL expression
🔹 Improves report readability
🔹 Works with numbers, text, and dates
🔹 Prevents unexpected NULL results in calculations
💡 Common interview use cases:
✅ Replacing missing salaries with 0
✅ Displaying "Not Available" for NULL values
✅ Handling missing customer information
✅ Creating cleaner dashboards and reports
✅ Avoiding NULL values in calculations
❤️ React if you want more SQL interview concepts explained in a simple way.
COALESCE is one of the most useful SQL functions for handling missing (NULL) values in your data.
It returns the first non-NULL value from a list of expressions, making your queries cleaner and more reliable.
📌 Key points:
🔹 Replaces NULL values with meaningful defaults
🔹 Returns the first non-NULL expression
🔹 Improves report readability
🔹 Works with numbers, text, and dates
🔹 Prevents unexpected NULL results in calculations
💡 Common interview use cases:
✅ Replacing missing salaries with 0
✅ Displaying "Not Available" for NULL values
✅ Handling missing customer information
✅ Creating cleaner dashboards and reports
✅ Avoiding NULL values in calculations
❤️ React if you want more SQL interview concepts explained in a simple way.
❤5
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✅ Power BI Basics 📊🚀
👉 Power BI is one of the most popular Business Intelligence BI tools used for:
✔ Data visualization
✔ Dashboard creation
✔ Business reporting
It is widely used by:
✔ Data Analysts
✔ Business Analysts
✔ Data Scientists
🔹 1. What is Power BI?
Power BI is a Microsoft tool used to transform raw data into:
📊 Interactive dashboards
📈 Reports
📉 Visual insights
🔥 2. Components of Power BI
✅ Power BI Desktop
👉 Used to create reports & dashboards.
✅ Power BI Service
👉 Cloud platform for sharing reports online.
✅ Power BI Mobile
👉 Access dashboards on mobile devices.
🔹 3. Power BI Workflow ⭐
Data → Cleaning → Modeling → Visualization → Dashboard → Sharing
🔹 4. Connecting Data Sources
Power BI can connect with:
✔ Excel
✔ SQL Database
✔ CSV Files
✔ APIs
✔ Cloud services
🔹 5. Power Query Data Cleaning
Used for:
✔ Removing duplicates
✔ Changing data types
✔ Filtering rows
✔ Merging data
👉 Similar to data cleaning in Pandas.
🔹 6. Data Modeling
👉 Relationships between tables.
Examples:
✔ One-to-Many
✔ Many-to-One
🔥 7. Visualizations in Power BI
Popular visuals:
✔ Bar Chart
✔ Line Chart
✔ Pie Chart
✔ Table
✔ KPI Cards
✔ Maps
🔹 8. DAX Data Analysis Expressions
DAX is the formula language of Power BI.
Example:
Total Sales = SUM(Sales[Amount])
🔹 9. Why Power BI is Important?
✔ Highly demanded skill
✔ Used in real companies
✔ Important for dashboards & reporting
✔ Great for storytelling with data
🎯 Today’s Goal
✔ Understand Power BI basics
✔ Learn workflow
✔ Understand Power Query & DAX
✔ Learn dashboard concepts
Power BI Resources: https://whatsapp.com/channel/0029Vai1xKf1dAvuk6s1v22c
💬 Tap ❤️ for more!
👉 Power BI is one of the most popular Business Intelligence BI tools used for:
✔ Data visualization
✔ Dashboard creation
✔ Business reporting
It is widely used by:
✔ Data Analysts
✔ Business Analysts
✔ Data Scientists
🔹 1. What is Power BI?
Power BI is a Microsoft tool used to transform raw data into:
📊 Interactive dashboards
📈 Reports
📉 Visual insights
🔥 2. Components of Power BI
✅ Power BI Desktop
👉 Used to create reports & dashboards.
✅ Power BI Service
👉 Cloud platform for sharing reports online.
✅ Power BI Mobile
👉 Access dashboards on mobile devices.
🔹 3. Power BI Workflow ⭐
Data → Cleaning → Modeling → Visualization → Dashboard → Sharing
🔹 4. Connecting Data Sources
Power BI can connect with:
✔ Excel
✔ SQL Database
✔ CSV Files
✔ APIs
✔ Cloud services
🔹 5. Power Query Data Cleaning
Used for:
✔ Removing duplicates
✔ Changing data types
✔ Filtering rows
✔ Merging data
👉 Similar to data cleaning in Pandas.
🔹 6. Data Modeling
👉 Relationships between tables.
Examples:
✔ One-to-Many
✔ Many-to-One
🔥 7. Visualizations in Power BI
Popular visuals:
✔ Bar Chart
✔ Line Chart
✔ Pie Chart
✔ Table
✔ KPI Cards
✔ Maps
🔹 8. DAX Data Analysis Expressions
DAX is the formula language of Power BI.
Example:
Total Sales = SUM(Sales[Amount])
🔹 9. Why Power BI is Important?
✔ Highly demanded skill
✔ Used in real companies
✔ Important for dashboards & reporting
✔ Great for storytelling with data
🎯 Today’s Goal
✔ Understand Power BI basics
✔ Learn workflow
✔ Understand Power Query & DAX
✔ Learn dashboard concepts
Power BI Resources: https://whatsapp.com/channel/0029Vai1xKf1dAvuk6s1v22c
💬 Tap ❤️ for more!
❤5
📊 𝟱 𝗕𝗲𝘀𝘁 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀 𝗧𝗼 𝗠𝗮𝘀𝘁𝗲𝗿 𝗠𝗦 𝗘𝘅𝗰𝗲𝗹 𝗳𝗼𝗿 𝗙𝗥𝗘𝗘
Excel is one of the most valuable workplace skills — start learning for FREE today!
✅ Beginner Friendly
✅ Learn at Your Own Pace
✅ Improve Excel & Data Analysis Skills
✅ Useful for Jobs & Interviews
✅ Completely FREE Resources
🔗 𝗘𝗻𝗿𝗼𝗹𝗹 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘👇:-
https://pdlink.in/3UkOmoa
🎓 Perfect for Students | Freshers | Data Analyst Aspirants | Working Professionals
Excel is one of the most valuable workplace skills — start learning for FREE today!
✅ Beginner Friendly
✅ Learn at Your Own Pace
✅ Improve Excel & Data Analysis Skills
✅ Useful for Jobs & Interviews
✅ Completely FREE Resources
🔗 𝗘𝗻𝗿𝗼𝗹𝗹 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘👇:-
https://pdlink.in/3UkOmoa
🎓 Perfect for Students | Freshers | Data Analyst Aspirants | Working Professionals
❤1
🚀 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲 📊🔥
𝗕𝘂𝗶𝗹𝗱 𝗝𝗼𝗯-𝗥𝗲𝗮𝗱𝘆 𝗦𝗸𝗶𝗹𝗹𝘀 & Learn the tools companies actually use and prepare for high-growth Data Analyst opportunities.
💼 60+ Hiring Drives Every Month
🤝 500+ Hiring Partners
👨🏫 1-on-1 Expert Mentorship
📝 Resume & Interview Preparation
🚀 Dedicated Placement Assistance
🔗 𝗕𝗼𝗼𝗸 𝗮 𝗙𝗥𝗘𝗘 𝗖𝗮𝗿𝗲𝗲𝗿 𝗖𝗼𝘂𝗻𝘀𝗲𝗹𝗹𝗶𝗻𝗴👇:-
https://pdlink.in/45vk5ph
🎓 Perfect for Students | Freshers | Working Professionals | Career Switchers
𝗕𝘂𝗶𝗹𝗱 𝗝𝗼𝗯-𝗥𝗲𝗮𝗱𝘆 𝗦𝗸𝗶𝗹𝗹𝘀 & Learn the tools companies actually use and prepare for high-growth Data Analyst opportunities.
💼 60+ Hiring Drives Every Month
🤝 500+ Hiring Partners
👨🏫 1-on-1 Expert Mentorship
📝 Resume & Interview Preparation
🚀 Dedicated Placement Assistance
🔗 𝗕𝗼𝗼𝗸 𝗮 𝗙𝗥𝗘𝗘 𝗖𝗮𝗿𝗲𝗲𝗿 𝗖𝗼𝘂𝗻𝘀𝗲𝗹𝗹𝗶𝗻𝗴👇:-
https://pdlink.in/45vk5ph
🎓 Perfect for Students | Freshers | Working Professionals | Career Switchers
❤3
📊 𝗪𝗮𝗻𝘁 𝘁𝗼 𝗕𝗲𝗰𝗼𝗺𝗲 𝗮 𝗣𝗿𝗼 𝗶𝗻 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀? 🚀
Learning Excel, SQL and Power BI is only the beginning. To stand out as a Data Analyst, focus on practical experience, visibility and networking.
🔥 4 Ways to Level Up Your Data Analytics Career:
💡 Master the Skills → Build Projects → Create Your Portfolio → Get Noticed
🔗 𝗖𝗵𝗲𝗰𝗸 𝘁𝗵𝗲 𝗖𝗼𝗺𝗽𝗹𝗲𝘁𝗲 𝗚𝘂𝗶𝗱𝗲 👇
https://pdlink.in/4cIfLqn
🎯 Perfect for Students | Freshers | Data Analyst Aspirants | Career Switchers
Learning Excel, SQL and Power BI is only the beginning. To stand out as a Data Analyst, focus on practical experience, visibility and networking.
🔥 4 Ways to Level Up Your Data Analytics Career:
💡 Master the Skills → Build Projects → Create Your Portfolio → Get Noticed
🔗 𝗖𝗵𝗲𝗰𝗸 𝘁𝗵𝗲 𝗖𝗼𝗺𝗽𝗹𝗲𝘁𝗲 𝗚𝘂𝗶𝗱𝗲 👇
https://pdlink.in/4cIfLqn
🎯 Perfect for Students | Freshers | Data Analyst Aspirants | Career Switchers
🎓 𝟰 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗮𝘁𝗶𝗼𝗻𝘀 𝗧𝗼 𝗠𝗮𝘀𝘁𝗲𝗿 𝗜𝗻 𝟮𝟬𝟮𝟲 🚀
Want to build job-ready skills and strengthen your resume? Start learning these in-demand technologies for FREE! 🔥
📊 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 :- https://pdlink.in/4qn5q94
💫 𝗔𝗜 & 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 :- https://pdlink.in/4zrkYNg
☁️ 𝗖𝗹𝗼𝘂𝗱 𝗖𝗼𝗺𝗽𝘂𝘁𝗶𝗻𝗴 :- https://pdlink.in/4wzy6Ny
🛡️ 𝗖𝘆𝗯𝗲𝗿 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 :- https://pdlink.in/4xMJNl5
🔁 𝗦𝗵𝗮𝗿𝗲 this with your friends and classmates!
Want to build job-ready skills and strengthen your resume? Start learning these in-demand technologies for FREE! 🔥
📊 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 :- https://pdlink.in/4qn5q94
💫 𝗔𝗜 & 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 :- https://pdlink.in/4zrkYNg
☁️ 𝗖𝗹𝗼𝘂𝗱 𝗖𝗼𝗺𝗽𝘂𝘁𝗶𝗻𝗴 :- https://pdlink.in/4wzy6Ny
🛡️ 𝗖𝘆𝗯𝗲𝗿 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 :- https://pdlink.in/4xMJNl5
🔁 𝗦𝗵𝗮𝗿𝗲 this with your friends and classmates!
❤2
🔥 SQL Interview Concept You MUST Know: LEAD()
LEAD() is a powerful SQL window function that lets you access data from the next row without using a self join.
It's widely used in analytics to compare current values with future values in a dataset.
📌 Key points:
🔹 Retrieves values from the next row
🔹 Uses the OVER() clause
🔹 Eliminates the need for self joins
🔹 Ideal for sequential and time-series analysis
🔹 Common in advanced SQL interview questions
💡 Common interview use cases:
✅ Comparing current and next month's sales
✅ Calculating future growth trends
✅ Identifying changes between consecutive records
✅ Tracking customer activity over time
✅ Building analytical business reports
❤️ React if you want more SQL interview concepts explained in a simple way.
LEAD() is a powerful SQL window function that lets you access data from the next row without using a self join.
It's widely used in analytics to compare current values with future values in a dataset.
📌 Key points:
🔹 Retrieves values from the next row
🔹 Uses the OVER() clause
🔹 Eliminates the need for self joins
🔹 Ideal for sequential and time-series analysis
🔹 Common in advanced SQL interview questions
💡 Common interview use cases:
✅ Comparing current and next month's sales
✅ Calculating future growth trends
✅ Identifying changes between consecutive records
✅ Tracking customer activity over time
✅ Building analytical business reports
❤️ React if you want more SQL interview concepts explained in a simple way.
❤2
𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗙𝗥𝗘𝗘 𝗢𝗻𝗹𝗶𝗻𝗲 𝗠𝗮𝘀𝘁𝗲𝗿𝗰𝗹𝗮𝘀𝘀 😍
💫Kickstart Your Data Science Career
💫Join this Masterclass for an expert-led session on Data Science
Eligibility :- Students ,Freshers & Working Professionals
𝗥𝗲𝗴𝗶𝘀𝘁𝗲𝗿 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘 👇:-
https://pdlink.in/4xOh5jA
(Only few slots left )
Date & Time :- 21st August 2026 & 7PM
💫Kickstart Your Data Science Career
💫Join this Masterclass for an expert-led session on Data Science
Eligibility :- Students ,Freshers & Working Professionals
𝗥𝗲𝗴𝗶𝘀𝘁𝗲𝗿 𝗙𝗼𝗿 𝗙𝗥𝗘𝗘 👇:-
https://pdlink.in/4xOh5jA
(Only few slots left )
Date & Time :- 21st August 2026 & 7PM