Stackdriver Trace allows users to correlate traces with _______ for better troubleshooting.
- Logs
- Metrics
- Configurations
- Policies
Correlating traces with logs in Stackdriver Trace allows users to understand application behavior and diagnose issues more effectively by providing additional context and insights.
What is Cloud Identity in Google Cloud Platform?
- Identity and access management service
- Cloud Storage Service
- Serverless Computing Platform
- Data Analytics Service
Understanding what Cloud Identity is and its role within Google Cloud Platform is essential for managing user access and ensuring security in GCP environments.
How does Google App Engine handle automatic scaling of applications?
- Google App Engine automatically adjusts the number of instances based on incoming traffic and application demand.
- Developers need to manually adjust the number of instances based on traffic patterns and application demand.
- Google App Engine does not support automatic scaling of applications.
- Google App Engine requires additional configuration to enable automatic scaling of applications.
Understanding how Google App Engine handles automatic scaling is crucial for developers to ensure that their applications can efficiently handle fluctuating levels of traffic and workload without manual intervention.
What is the primary purpose of autoscaling in Google Compute Engine?
- Automatically adjusting the number of virtual machine instances based on workload changes.
- Optimizing virtual machine configurations for cost savings.
- Monitoring network traffic for security purposes.
- Generating performance reports for system administrators.
Understanding the primary purpose of autoscaling helps beginners grasp its significance in resource management and application scalability within Google Compute Engine. Recognizing the role of autoscaling in workload optimization is essential for effective cloud infrastructure design and management.
How can Google Cloud Shell be accessed?
- Through the Google Cloud Console
- Via SSH connection
- Using FTP client
- By downloading and installing locally
Google Cloud Shell can be accessed directly from the Google Cloud Console, offering convenience and integration with other Google Cloud services.
Scenario: A team of developers is collaborating on a project and needs to edit configuration files stored in Google Cloud Platform. Which tool within Google Cloud Shell should they use for seamless collaboration?
- Nano
- Vim
- Cloud Code
- Cloud Shell Editor
Cloud Shell Editor is the most suitable tool for this scenario as it enables seamless real-time collaboration and editing of files within Google Cloud Shell.
In the context of Cloud DNS, what is DNSSEC and why is it important?
- Domain Name System Security Extensions (DNSSEC)
- Dynamic Name System Security (DynDNS)
- Distributed Name System Security (DistDNS)
- Domain Name System Encryption (DNSEnc)
Understanding DNSSEC and its importance is crucial for securing DNS infrastructure and protecting against various types of DNS-related attacks. Implementing DNSSEC can enhance the security and trustworthiness of DNS resolution in Cloud DNS environments.
In a Virtual Private Cloud (VPC), what does "private" refer to?
- Isolation and control
- Encryption of data in transit
- Exclusive use by a single user
- Accessibility from the public internet
Understanding what "private" means in the context of a VPC helps beginners grasp the concept of network isolation and control, which are essential for maintaining security and compliance in cloud environments.
Kubernetes uses a _______ model to manage containers within a cluster.
- Declarative
- Procedural
- Imperative
- Reactive
Understanding the declarative model used by Kubernetes is crucial for effectively configuring and managing applications and services within a Kubernetes cluster. It emphasizes defining the desired state of the system rather than imperatively specifying actions.
Google Cloud's AI Platform provides _______ for building and deploying machine learning models.
- Infrastructure
- APIs
- Datasets
- Frameworks
Recognizing the role of AI Platform as a comprehensive platform for machine learning development and deployment helps users leverage its integrated tools and services effectively.