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.
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.
What are the considerations for setting up custom autoscaling policies in Google Compute Engine?
- Considerations for setting up custom autoscaling policies in Google Compute Engine include defining appropriate scaling triggers based on metrics such as CPU utilization, request latency, or custom application-specific metrics. Additionally, it's essential to set meaningful thresholds and scale-in and scale-out policies to ensure efficient resource allocation and cost optimization.
- Custom autoscaling policies in Google Compute Engine should prioritize simplicity and minimize the number of scaling triggers and policies to reduce complexity and improve manageability.
- Custom autoscaling policies in Google Compute Engine should rely solely on manual intervention, allowing administrators to make scaling decisions based on real-time observations and insights.
- Custom autoscaling policies in Google Compute Engine should be based solely on historical usage patterns, ignoring real-time metrics and workload characteristics to simplify configuration and management.
Setting up custom autoscaling policies in Google Compute Engine requires careful planning and consideration of various factors to ensure they align with business requirements and effectively manage resource utilization while maintaining application performance and availability.
Scenario: An e-commerce platform is preparing for a high-traffic sales event. How can Cloud Load Balancing help ensure a seamless shopping experience for customers during this event?
- Autoscaling backend instances based on traffic load
- Using static backend instances
- Manually adjusting the number of servers
- Implementing session affinity
During high-traffic events, Cloud Load Balancing with autoscaling ensures that the number of backend instances adjusts dynamically based on traffic load, maintaining performance and providing a seamless shopping experience.
How does Stackdriver Trace provide insights into application dependencies and performance bottlenecks?
- Analyzes trace spans and dependencies
- Scans for security vulnerabilities
- Generates code coverage reports
- Monitors server uptime
By analyzing trace spans and dependencies, Stackdriver Trace provides developers with insights into the flow of requests through the application, highlighting areas of inefficiency and potential performance bottlenecks, facilitating optimization efforts.