Interview Question: “Where do you see yourself in 5 years?”

Interviewers ask this question not to reject you immediately but to understand:
✅ Your career ambitions
✅ Your fit with the company culture
✅ Your drive and self-awareness
✅ Your decision making


Here’s how you can respond ⬇️

💡Sample answer:
In 5 years, I see myself in a leadership role within this company, managing a team, and driving key initiatives. I'm passionate about the work we do here, and my goal is to become an expert in my field, known for delivering exceptional results. What excites me the most is the growth potential within this organization. I've seen several employees advance to influential positions, and I'm eager to follow in their footsteps. With my dedication, your mentorship, and the shared values of this company, I am confident in my ability to contribute to its ongoing success.

How to respond when asked about your weaknesses during an interview?

💡Sample answer: ⬇️

I struggled with time management and procrastination in my last role because I was taking on too many tasks at once. To improve, I started using a daily planner to schedule priorities and block off time for deep work. This helps me stay focused and meet deadlines. Being proactive about managing my time has really helped me become more productive. 💪

4 LIFE - CHANGING IDEAS THAT WE SHOULD ALL KNOW ABOUT ⬇️

1. Murphy's Law: Anything that can go wrong, will go wrong.

2. Kridlin's Law: If you write a problem clearly and specifically, you have solved half of it.

3. Wilson's Law: If you prioritize knowledge and intelligence, money will continue to come.

4. Falkland's Law: If you don’t have to make a decision about something, then don’t decide.

P.S. What principles guide your approach to life and business?

Let me know in the comments!

⛳️SQL CLAUSES:
SQL clause helps us to retrieve a set or bundles of records from the table.
SQL clause helps us to specify a condition on the columns or the records of a table.

There are generally five kinds of SQL Clauses . They are listed as follows:

1-WHERE Clause
2-ORDER BY clause
3-HAVING Clause
4-TOP Clause
5-GROUP BY Clause



1. SQL WHERE Clause:
we use the SQL SELECT statement to select data from a table in the database. Here, the WHERE clause allows filtering certain records that exactly match a specified condition. Thus, it helps us to fetch only the necessary data from the database that satisfies the given expressional conditions. The WHERE clause is used with SELECT statement as well as with UPDATE, DELETE type statements and aggregate functions to restrict the no. of records to be retrieved by the table. We can also use logical or comparison operators such as LIKE,<,>,=, etc. with WHERE clause to fulfill certain conditions.

Query:

SELECT BookName, Price, Lang From Books WHERE CatID >1;


2. SQL ORDER BY Clause:
The ORDER BY clause is used in SQL for sorting records. It is used to arrange the result set either in ascending or descending order. When we query using SELECT statement the result is not in an ordered form. Hence, the result rows can be sorted when we combine the SELECT statement with the ORDER BY clause.
Query:
SELECT BookName, Price From Books ORDER BY Price ASC;

3. SQL GROUP BY Clause:
The GROUP BY clause is used to group rows that have the same values in the result set. Like if we find the names of books from the table grouped by CatID.
Query:
SELECT COUNT(BookName), CatID From Books GROUP BY CatID;

This clause is generally used with aggregate functions that allow grouping the query result rows by multiple columns. The aggregate functions are COUNT, MAX, MIN, SUM, AVG, etc.

4. SQL HAVING Clause:
Actually, this clause is introduced to apply functions in the query with the WHERE clause. In SQL, the HAVING clause was added because the WHERE clause could not be applied with aggregate functions.
Query:
SELECT COUNT (CatID), Lang From Books GROUP BY Lang HAVING COUNT(CATID) <3;


5. SQL TOP Clause:
The TOP clause is used to determine the number of record rows to be shown in the result. This TOP clause is used with SELECT statement specially implemented on large tables with many records. But the clause is not supported in many database systems, like MySQL supports the LIMIT clause to select limited no. of rows and in Oracle ROWNUM is used.
Query:
SELECT TOP 3 * FROM Books;
SELECT * FROM Books LIMIT 3;
SELECT * FROM Books WHERE ROWNUM <= 3;

🔥𝐒𝐎𝐑𝐓𝐈𝐍𝐆 𝐀𝐋𝐆𝐎𝐑𝐈𝐓𝐇𝐌𝐒 𝐂𝐎𝐌𝐏𝐋𝐄𝐗𝐈𝐓𝐘 𝐂𝐇𝐄𝐀𝐓𝐒𝐇𝐄𝐄𝐓🚀

Excited to share this handy cheatsheet on Sorting Algorithms' Time Complexity! 🔍 Whether you're a coding enthusiast or a tech professional, understanding sorting algorithms' efficiency is key.⚡️ Here's a quick reference guide to help you navigate through different algorithms and their time complexitie.🙌

📝 Here's a detailed cheatsheet to help you grasp the time complexities of various sorting algorithms:

📌 𝗕𝘂𝗯𝗯𝗹𝗲 𝗦𝗼𝗿𝘁 🫧

🔹Best Case: O(n)
🔹Average Case: O(n^2)
🔹Worst Case: O(n^2)

📌 𝗜𝗻𝘀𝗲𝗿𝘁𝗶𝗼𝗻 𝗦𝗼𝗿𝘁 💥

🔹Best Case: O(n)
🔹Average Case: O(n^2)
🔹Worst Case: O(n^2)

📌 𝗦𝗲𝗹𝗲𝗰𝘁𝗶𝗼𝗻 𝗦𝗼𝗿𝘁 ✅

🔹Best Case: O(n^2)
🔹Average Case: O(n^2)
🔹Worst Case: O(n^2)

📌 𝗠𝗲𝗿𝗴𝗲 𝗦𝗼𝗿𝘁 🤝

🔹Best Case: O(n log n)
🔹Average Case: O(n log n)
🔹Worst Case: O(n log n)

📌 𝗤𝘂𝗶𝗰𝗸 𝗦𝗼𝗿𝘁 ⚡️

🔹Best Case: O(n log n)
🔹Average Case: O(n log n)
🔹Worst Case: O(n^2)

📌 𝗛𝗲𝗮𝗽 𝗦𝗼𝗿𝘁 📚

🔹Best Case: O(n log n)
🔹Average Case: O(n log n)
🔹Worst Case: O(n log n)

📌 𝗥𝗮𝗱𝗶𝘅 𝗦𝗼𝗿𝘁 💫

🔹Best Case: O(nk)
🔹Average Case: O(nk)
🔹Worst Case: O(nk)

📌 𝗖𝗼𝘂𝗻𝘁𝗶𝗻𝗴 𝗦𝗼𝗿𝘁 📊

🔹Best Case: O(n + k)
🔹Average Case: O(n + k)
🔹Worst Case: O(n + k)

📌 𝗕𝘂𝗰𝗸𝗲𝘁 𝗦𝗼𝗿𝘁 🪣

🔹Best Case: O(n + k)
🔹Average Case: O(n + k)
🔹Worst Case: O(n^2)

📌 𝗖𝗼𝘂𝗻𝘁𝗶𝗻𝗴 𝗦𝗼𝗿𝘁 📊

🔹Best Case: O(n + k)
🔹Average Case: O(n + k)
🔹Worst Case: O(n + k)

📚Remember, each algorithm has its strengths and weaknesses. Depending on the size of your data and the specific use case, you can choose the most suitable sorting algorithm to ensure efficient code execution.💫

👉What is Database Management System?
Data:

"Collection of quantitative and qualitative variables is known as data".

Type of Data:
1-Raw Data
2-Processed data(Information)

👉What is DBMS?

DBMS consist of two parts
1-Data base
2-Management System.

Database is a collection of interrelated files and the basic management operations are
Searching,
Addition,
Deletion,
Updation,

A DBMS consist of collection of related data and a set of programs to access and manipulate those data.

"The database management system is a general purpose software system that facilitates the process of defining, constructing, manipulating and sharing database among, various user and application".


The primary objective of DBMS is to provides an environment that is convenient and efficient to use in retrieving and storing data in database. The DBMS should use minimum set of computing resources to provides maximum throughout.


Basic terminology of DBMS .

🥇Field:
"fields are in the form of rows".

🥇Records:
"Data organized in meaningful way to known as Records".

🥇File:
"Collection of similar records is known as file".

🥇Database:
"collection of interrelated files is called database".

following are basic facilities provided by DBMS.
⚡creation,
⚡insertion,
⚡deletion,
⚡modification and
⚡retrieval,
⚡protecting of data and ⚡maintaining integrity,
⚡report generation,
⚡mathematical operation.

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