Which Google Cloud storage service is suitable for data that is accessed less frequently but requires low latency when accessed?
- Nearline Storage
- Multi-Regional Storage
- Coldline Storage
- Regional Storage
Understanding the characteristics and use cases of different Google Cloud storage classes is essential for optimizing costs and performance based on the access patterns of your data. Nearline storage is particularly suitable for scenarios where data is accessed less frequently but still requires low latency access.
What is the primary advantage of using TensorFlow on Google Cloud Platform?
- Scalability
- Cost-effectiveness
- Security
- Ease of use
Understanding the primary advantages of using TensorFlow on Google Cloud Platform helps beginners evaluate the benefits of leveraging GCP for their machine learning projects and optimize their use of cloud resources.
Google App Engine abstracts away the need for users to manage _______.
- Infrastructure
- Application Code
- Data Centers
- Databases
Understanding what Google App Engine abstracts away for users is crucial for developers to grasp the benefits of using the platform and how it simplifies application deployment and maintenance.
In Stackdriver Logging, what is the significance of log entries with severity levels?
- Determining the importance or severity of logged events
- Identifying the location of log files
- Enabling access control for log data
- Configuring automated backups for logs
Severity levels in Stackdriver Logging allow users to classify logged events based on their importance or severity, facilitating effective monitoring, alerting, and troubleshooting.
How does Google Compute Engine handle sudden spikes in traffic with autoscaling?
- Google Compute Engine utilizes proactive and reactive scaling mechanisms to handle sudden spikes in traffic. Proactive scaling involves forecasting demand based on historical data and scaling resources preemptively, while reactive scaling responds dynamically to immediate changes in workload by adjusting resources in real-time.
- Google Compute Engine relies on manual intervention to handle sudden spikes in traffic, allowing administrators to manually adjust resource allocation as needed.
- Google Compute Engine scales resources linearly in response to traffic spikes, adding or removing instances in proportion to the increase or decrease in demand.
- Google Compute Engine temporarily throttles incoming traffic during sudden spikes to prevent overload on backend services, ensuring stability and preventing service degradation.
Understanding how Google Compute Engine handles sudden spikes in traffic with autoscaling mechanisms is essential for maintaining application performance and availability in dynamic environments with fluctuating workloads.
Scenario: A research institution needs to archive large datasets that are accessed infrequently but must be retained for compliance reasons. Which storage class in Google Cloud Platform would be the most suitable choice?
- Archive
- Nearline
- Coldline
- Standard
For large datasets that are accessed infrequently but must be retained for compliance reasons, Archive storage in Google Cloud Platform offers the most suitable option due to its low storage costs, even though retrieval costs and latency are higher compared to other storage classes. Understanding the access patterns and compliance requirements is crucial for selecting the appropriate storage class.
Dataproc allows users to _______ clusters quickly, enabling efficient resource utilization.
- Provision
- Deploy
- Decommission
- Upgrade
The ability to provision clusters quickly is a key feature of Google Cloud Dataproc, enabling users to scale their data processing infrastructure based on workload demands and optimize resource usage.
Users must have appropriate _______ to access billing data through Cloud Billing APIs.
- Permissions
- Roles
- Authentication
- Tokens
Permissions are critical for defining what actions a user can perform, ensuring that only authorized users can access billing data.
Scenario: A multinational corporation requires consistent network performance across its global offices. Which Network Service Tier in Google Cloud would be the best fit for their distributed network architecture?
- Premium Tier
- Standard Tier
- Basic Tier
- Custom Tier
Consistent network performance across global offices is crucial for multinational corporations to ensure seamless operations and user experiences. Understanding the capabilities of network service tiers in Google Cloud is essential for selecting the most suitable option to meet these requirements. In this scenario, the Premium Tier offers the best fit with its focus on low latency, high reliability, and consistent performance across global locations.
Which components of an application does Stackdriver Trace monitor?
- Latency and errors
- Disk usage
- CPU utilization
- Network bandwidth
Stackdriver Trace provides insights into latency and errors within an application, helping developers identify performance bottlenecks and issues.