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SQL Queries Code Interviews QA 50 plus

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Here are SQL-focused interview questions with only the relevant SQL code: 1. Find the second highest salary from an Employee table. SELECT MAX(Salary) AS SecondHighestSalary FROM Employees WHERE Salary < (SELECT MAX(Salary) FROM Employees); Using ROW_NUMBER(): WITH RankedSalaries AS (   SELECT Salary, ROW_NUMBER() OVER (ORDER BY Salary DESC) AS Rank   FROM Employees ) SELECT Salary AS SecondHighestSalary FROM RankedSalaries WHERE Rank = 2; --- 2. Write a query to calculate a running total of sales. SELECT   OrderID,   OrderDate,   Amount,   SUM(Amount) OVER (ORDER BY OrderDate) AS RunningTotal FROM Orders; --- 3. Retrieve customers who placed no orders using a LEFT JOIN. SELECT c.CustomerID, c.CustomerName FROM Customers c LEFT JOIN Orders o ON c.CustomerID = o.CustomerID WHERE o.OrderID IS NULL; --- 4. Write a query to find the top 3 highest salaries. SELECT DISTINCT Salary FROM Employees ORDER BY Salary DESC LIMIT 3; Using DENSE_RANK(): WIT...

Gemma 2B Fine Tuned Lightweight model

 Kaggle Notebook Gemma 2B Fine Tuned Lightweight model Step 1: Configure GPU for Memory Growth python gpus = tf.config.list_physical_devices( 'GPU' ) if gpus: try : for gpu in gpus: tf.config.experimental.set_memory_growth(gpu, True ) print ( "GPU memory growth enabled." ) except RuntimeError as e: print (e) else : print ( "No GPU found. Using CPU." ) Purpose : Ensures the GPU is set to dynamically allocate memory instead of pre-allocating all available GPU memory. This approach prevents memory wastage and allows multiple processes to use the GPU without running into memory allocation errors. Technical Details : tf.config.list_physical_devices('GPU') : Lists available GPUs. tf.config.experimental.set_memory_growth(gpu, True) : Allows TensorFlow to allocate GPU memory on demand. Fallback : If no GPU is found, the code defaults to CPU computation. Step 2: Enable Mixed Precision for Memory Optimizatio...