Google Cloud SQL - Load balancing for Cloud SQL MCQ

Google Cloud SQL – 42 – Load balancing for Cloud SQL MCQ

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1. What is the primary purpose of load balancing for Google Cloud SQL?

To reduce the number of database replicas

To maximize CPU utilization

To increase database storage capacity

To distribute network traffic across multiple database instances

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2. Why is load balancing crucial for Google Cloud SQL in terms of high availability?

To eliminate the need for database replication

To distribute traffic across multiple instances, reducing the impact of failures

To increase the complexity of the database architecture

To ensure database instances never fail

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3. How can load balancing improve database scalability in Google Cloud SQL?

By distributing traffic evenly to additional instances as needed

By increasing CPU and memory resources

By minimizing storage costs

By limiting the number of database instances

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4. In Google Cloud SQL, how does load balancing optimize database performance?

By distributing traffic evenly to prevent bottlenecks

By making one database instance the bottleneck

By maximizing storage overhead

By prioritizing certain types of queries

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5. What is the primary role of a Google Cloud Load Balancer in load balancing for Google Cloud SQL?

To distribute traffic to backend services and database instances

To increase database resource consumption

To reduce query execution times

To minimize database instance failures

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6. In Google Cloud SQL, what is a Serverless VPC Connector used for in the context of load balancing?

To securely connect serverless services to Cloud SQL instances

To increase database storage capacity

To create additional load balancer instances

To replace the need for load balancing

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7. What does the Cloud SQL Proxy Pool handle in Google Cloud SQL load balancing?

CPU and memory resources

Database replication

Database connections and secure communication

Storage costs

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8. How is a Google Cloud Load Balancer configured in the context of Google Cloud SQL?

As a standalone database instance

As a Kubernetes cluster

As a file server

As a TCP/SSL Proxy Load Balancer

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9. What type of backends do you specify for a Google Cloud Load Balancer in load balancing for Google Cloud SQL?

Cloud Functions

Cloud Storage buckets

Backend services targeting Cloud SQL Proxy pools

Cloud Run instances

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10. In Google Cloud SQL load balancing, what is the purpose of URL maps and host and path rules?

To create database replicas

To configure backend services

To eliminate the need for load balancing

To route traffic based on URLs or hostnames

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11. How can you ensure that your application directs its database queries to the Google Cloud Load Balancer?

By creating additional proxy pools

By connecting directly to the primary database instance

By updating the application's database connection settings

By using random IP addresses

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12. What should organizations regularly monitor when implementing load balancing for Google Cloud SQL?

Storage costs

CPU and memory resources

Database replication

Load balancer health and performance, database instance status, and replica scaling

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13. What is the benefit of using global load balancing in multi-region deployments for Google Cloud SQL?

To direct users to the nearest healthy database instance, reducing latency

To decrease fault tolerance

To ensure users connect to the furthest database instance

To increase latency

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14. How does load balancing help maintain database availability in Google Cloud SQL?

By disabling database instances

By increasing resource consumption

By directing all traffic to a single instance

By distributing traffic across multiple instances, even if one becomes unavailable

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15. In Google Cloud SQL, what happens when a database instance becomes unhealthy?

Traffic continues to be directed to it

It is automatically removed from the load balancer pool

It becomes the primary instance

It doubles its resource consumption

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16. How does load balancing contribute to fault tolerance in Google Cloud SQL?

By increasing resource utilization

By evenly distributing traffic and avoiding unhealthy instances

By prioritizing healthy instances

By causing more failures

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17. What is the primary purpose of health checks in load balancing for Google Cloud SQL?

To increase resource utilization

To evaluate the status of backend instances and proxy pools

To eliminate the need for database replication

To monitor database replication

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18. What is the primary function of load balancing for Google Cloud SQL in terms of performance optimization?

To minimize query execution times by eliminating additional lookups

To maximize storage overhead

To distribute traffic unevenly

To slow down query performance

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19. How can organizations reduce storage costs while optimizing query performance in Google Cloud SQL?

By implementing advanced indexing strategies

By creating expression indexes for all columns

By implementing partial indexes for all data

By using random indexes

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20. In Google Cloud SQL, what is the primary purpose of advanced indexing strategies?

To increase storage costs

To maximize CPU utilization

To slow down query performance

To minimize query execution times by eliminating additional lookups

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21. What does global load balancing ensure in multi-region Google Cloud SQL deployments?

Equal traffic distribution to all regions

Reduced fault tolerance

Elimination of database replicas

Users connect to the nearest healthy database instance

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22. How does load balancing enhance fault tolerance in Google Cloud SQL?

By creating a single point of failure

By prioritizing unhealthy instances

By evenly distributing traffic across instances, avoiding unhealthy ones

By eliminating replication

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23. What type of resource does load balancing help maximize in Google Cloud SQL?

Resource consumption

CPU utilization

Storage costs

High availability

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24. How does global load balancing improve user experience in multi-region Google Cloud SQL deployments?

By ensuring users connect to the nearest healthy database instance, reducing latency

By directing users to the furthest database instance

By reducing fault tolerance

By increasing latency

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25. What is the role of the Cloud SQL Proxy Pool in Google Cloud SQL load balancing?

To handle database connections and secure communication

To manage database replication

To reduce storage costs

To distribute CPU and memory resources

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Google Cloud SQL – Load balancing for Cloud SQL MCQ