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Programador Sql Interview Questions

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Programador Sql Interview Questions

SQL son las siglas de Structured Query Language (lenguaje de consulta estructurado) y un programador SQL es la persona encargada de crear bases de datos SQL y las aplicaciones que funcionan con ellas. Por lo general, utilizan tablas de diseño y recursos de almacenamiento para mayor estabilidad, fiabilidad y rendimiento. En una entrevista para un puesto de programador SQL, pueden hacerte preguntas sobre tus conocimientos de programación y habilidades de resolución de problemas.

Preguntas de entrevista más frecuentes para programador/a SQL y cómo responderlas

Question 1

Pregunta n.º 1: ¿Qué tipos de claves existen en SQL y cuándo las usarías?

How to answer
Respuesta recomendada: Esta pregunta te permite mostrar tus conocimientos de SQL. Explica los tipos más comunes de claves en SQL e indica cómo pueden identificar filas y columnas en las tablas. Las claves funcionan como identificadores únicos, lo que permite que los usuarios recuperen los datos con facilidad.
Question 2

Pregunta n.º 2: ¿Qué tipos de normalización existen en SQL y cuándo los usas?

How to answer
Respuesta recomendada: La normalización en SQL suele utilizarse para organizar datos y reducir redundancias. Puedes demostrar tu experiencia explicando los métodos de normalización que más usas. Por ejemplo, muchos programadores dividen una tabla grande en varias más pequeñas para facilitar la lectura.
Question 3

Pregunta n.º 3: ¿Con qué lenguajes de programación estás familiarizado?

How to answer
Respuesta recomendada: Muchos desarrolladores usan además JavaScript, HTML, Python, PL/SQL y otros lenguajes. Enumera los lenguajes que conoces y explica cómo los has usado en tu empleo anterior. Además, menciona los títulos de programación que posees.

710,934 programador sql interview questions shared by candidates

Write a function in Java that will take a sorted array of ints, possibly with duplicates, and compact the array removing all the duplicate numbers. That is, if the contains the numbers - 1, 3, 7, 7, 8, 9, 9, 9, 10, then when the function returns, the contents should be - 1, 3, 7, 8, 9, 10. Be sure your answer is as efficient as possible. Describe the efficiency of your algorithm using big O notation.
avatar

Software Engineer Intern

Interviewed at Motorola Mobility

4.2★
Mar 19, 2009

Write a function in Java that will take a sorted array of ints, possibly with duplicates, and compact the array removing all the duplicate numbers. That is, if the contains the numbers - 1, 3, 7, 7, 8, 9, 9, 9, 10, then when the function returns, the contents should be - 1, 3, 7, 8, 9, 10. Be sure your answer is as efficient as possible. Describe the efficiency of your algorithm using big O notation.

Suppose there is a rectangular map where you can only travel up or right to go from a start location in the bottom left corner to the top right corner, and each move is discrete. Write a program that prints all possible solutions to get from the start to finish.
avatar

Financial Software Developer Intern

Interviewed at Bloomberg

4★
Mar 5, 2010

Suppose there is a rectangular map where you can only travel up or right to go from a start location in the bottom left corner to the top right corner, and each move is discrete. Write a program that prints all possible solutions to get from the start to finish.

I have a log that consists of more than 100 million lines. Each line is just a data about user login, login time, etc. I want to sort them based on user login, and then if there is a tie based on login time, etc. However, I have limited memory, so don't think of storing all of them in an array. The memory can only hold n data where n is much smaller than 100 millions. You can access the disk though although it is much slower. How will you do it so that it is as efficient as possible?
avatar

Software Developer

Interviewed at Epic

3.3★
Aug 29, 2009

I have a log that consists of more than 100 million lines. Each line is just a data about user login, login time, etc. I want to sort them based on user login, and then if there is a tie based on login time, etc. However, I have limited memory, so don't think of storing all of them in an array. The memory can only hold n data where n is much smaller than 100 millions. You can access the disk though although it is much slower. How will you do it so that it is as efficient as possible?

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