Google Cloud SQL - MySQL user-defined functions MCQ

Google Cloud SQL – 23 – MySQL user-defined functions MCQ

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1. What are MySQL User-Defined Functions (UDFs) in the context of Google Cloud SQL?

Built-in MySQL functions

Security features

External data sources

Custom functions created by users

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2. What is the primary purpose of MySQL UDFs?

Running backups

Enhancing database security

Implementing high availability

Extending MySQL's functionality with custom logic

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3. Which programming languages can be used to create MySQL UDFs for Google Cloud SQL?

JavaScript only

Python only

C, C++, and Python

Ruby and PHP

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4. How can you enable UDFs for use in Google Cloud SQL’s MySQL instances?

By running a SQL query to enable them

By default, UDFs are always enabled

By modifying the MySQL configuration parameters for the instance

By creating a new instance

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5. In MySQL, how are UDFs typically implemented and integrated into the database?

As built-in functions

As stored procedures

As shared libraries loaded with CREATE FUNCTION

As standalone scripts

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6. Which SQL statement is used to create a MySQL UDF?

DECLARE UDF

CREATE FUNCTION

DEFINE FUNCTION

CREATE UDF

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7. In MySQL, what does the SONAME parameter specify when creating a UDF?

The shared library file containing the UDF

The location of the UDF source code

The name of the UDF creator

The database schema for the UDF

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8. How can you use UDFs in your SQL queries within Google Cloud SQL’s MySQL instances?

By using the EXECUTE statement

By including them in a FOR loop

By calling them like built-in functions in SQL queries

By creating a separate database for UDFs

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9. What is the significance of parameterization in MySQL UDFs?

It enables dynamic calculations based on input values

It specifies the database schema for UDFs

It determines the programming language used for UDFs

It allows UDFs to be executed without parameters

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10. What is the primary benefit of reusing MySQL UDFs in multiple queries and applications?

Enhancing database security

Promoting code efficiency and maintainability

Reducing database storage costs

Improving query performance

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11. How can you update a MySQL UDF in Google Cloud SQL when changes are required?

By disabling UDFs and creating new ones

By modifying UDFs directly within SQL queries

By using the UPDATE FUNCTION statement

By recompiling the UDF and using ALTER FUNCTION

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12. What precautions should you take when enabling and using MySQL UDFs in Google Cloud SQL?

Disable all security features

Limit the use of UDFs to trusted sources

Share UDFs with external parties

Ignore security considerations

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13. What is one practical use case for MySQL UDFs in Google Cloud SQL?

Performing custom aggregations and calculations

Running database backups

Handling geospatial data

Implementing complex security protocols

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14. How can MySQL UDFs be used to preprocess data before storage or reporting?

By encoding data in JSON format

By storing data in a separate database

By running data validation checks

By implementing custom aggregations

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15. In MySQL, what type of logic can be implemented using UDFs for text processing?

Cryptocurrency calculations

Geospatial queries

Advanced data encryption

Natural language processing (NLP)

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16. Which UDFs can be used to perform geospatial calculations and queries within Google Cloud SQL’s MySQL instances?

Cryptographic functions

Natural language processing (NLP) functions

Geospatial functions

Text indexing functions

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17. What is the primary benefit of implementing custom cryptographic functions using MySQL UDFs?

Reducing storage costs

Enabling data compression

Enhancing database security

Improving query performance

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18. What can MySQL UDFs offer in terms of query optimization and specialized indexing?

Advanced data compression

Support for trigram-based text similarity matching

Tools for monitoring query performance

Built-in indexing features

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19. What is a recommended practice for maintaining MySQL UDFs in Google Cloud SQL?

Disabling UDFs after creation

Avoiding version control for UDFs

Periodically checking for updates and applying them

Using UDFs without any updates

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20. What is the primary benefit of using version control for MySQL UDFs?

Ensuring UDFs work in isolation

Tracking changes, rolling back to previous versions, and maintaining a development history

Reducing database storage costs

Eliminating the need for UDF updates

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21. In conclusion, what is the primary advantage of MySQL User-Defined Functions (UDFs) in Google Cloud SQL?

Extending MySQL's functionality with custom logic

Simplifying query syntax

Reducing the need for SQL queries

Automating database backups

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Google Cloud SQL – MySQL user-defined functions MCQ