SQL Interview Questions Handle NULL Values with JSON Data sql query #sqlinterviewquestions

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SQL Interview Questions Handle NULL Values with JSON Data sql query

When handling NULL values with JSON data in SQL, it's crucial to use appropriate functions and conditions to manage potential missing or undefined information. Employing functions like ISNULL or COALESCE ensures graceful handling of NULL values, preventing potential errors in queries. Additionally, understanding how to navigate and extract data from JSON structures using functions like JSON_VALUE or JSON_QUERY is essential for effective querying, allowing for seamless extraction of relevant information even when dealing with NULL values within JSON datasets.

SQL interview questions cover a range of topics from basic to advanced. They assess a candidate's understanding of database concepts, querying skills, and problem-solving abilities. Experienced candidates may face tricky scenarios involving joins, aggregations, and optimization. Auto-increment is a feature to automatically generate unique identifiers. Interviewers may explore substring usage for text manipulation. Questions can vary based on roles, with database developers and data scientists facing more complex challenges. Understanding joins, optimizing queries, and demonstrating proficiency in SQL are essential for success in SQL interviews.

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