Which of the following is not a feature of Cloud Identity?
- Data Processing
- Single Sign-On (SSO)
- Multi-Factor Authentication (MFA)
- Access Control
Recognizing the features of Cloud Identity helps users understand its capabilities and how it can be leveraged to enhance security and manage access to GCP resources effectively.
Cloud Identity provides centralized _______ management for users and groups.
- Identity
- Access
- Resource
- Authorization
Understanding the role of Cloud Identity in managing user identities and groups is essential for organizations to maintain security and compliance in their cloud environments.
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.
_______ is a Google Cloud feature that allows users to optimize network performance based on their requirements.
- Network Service Tiers
- Network Load Balancer
- Network Intelligence Center
- Network Telemetry
Network optimization is crucial for ensuring efficient and reliable operation of applications and services in the cloud. Understanding the features available for optimizing network performance, such as Google Cloud's Network Service Tiers, empowers users to make informed decisions about their network architecture and configuration.
Google Cloud's _______ feature enables secure communication between Virtual Private Cloud (VPC) networks and on-premises networks.
- Cloud Interconnect
- Cloud VPN
- VPC Peering
- VPC Flow Logs
Understanding the connectivity options available in Google Cloud, such as Cloud Interconnect, is essential for designing hybrid cloud architectures that seamlessly integrate on-premises infrastructure with cloud resources.
In Google Compute Engine autoscaling, what are cooldown periods used for?
- Cooldown periods are used to prevent rapid scaling activity by imposing a waiting period between scaling events, ensuring stability and preventing unnecessary resource allocation.
- Cooldown periods determine the maximum time a virtual machine can remain idle before it is automatically shut down to conserve resources.
- Scaling decisions made by the autoscaler are influenced by historical usage patterns and predicted future demand, allowing it to proactively adjust resources in anticipation of workload changes.
- Cooldown periods are used to synchronize scaling activities across multiple virtual machines, ensuring consistent behavior and avoiding conflicts between concurrent scaling events.
Understanding the purpose and function of cooldown periods in Google Compute Engine autoscaling is crucial for optimizing resource utilization and maintaining system stability in dynamic environments with fluctuating workloads.
What does VPC stand for in the context of Google Cloud?
- Virtual Private Cloud
- Virtual Public Cloud
- Virtual Provisioned Cloud
- Virtual Personal Cloud
Understanding what VPC stands for is essential for beginners to grasp the concept of virtual networking in Google Cloud and its significance in building secure and isolated environments for cloud-based applications and services.
In Cloud Datastore, what is the purpose of an ancestor query?
- Hierarchical Data Retrieval
- Full-text Search
- Real-time Data Updates
- Data Aggregation
Understanding the purpose of ancestor queries in Cloud Datastore helps developers design efficient data models and query patterns for hierarchical data structures. Leveraging ancestor queries appropriately can improve application performance and simplify data access in cloud environments.
Cloud Bigtable uses _______ for automatic scaling based on workload demands.
- Colossus
- Google Kubernetes Engine
- Google Cloud Spanner
- Apache HBase
Understanding the underlying technologies that enable Cloud Bigtable's automatic scaling is essential for optimizing performance and cost efficiency in managing large-scale data workloads. Knowing that Cloud Bigtable is built on Apache HBase helps in understanding its scalability features.
What security features does Cloud SQL provide to protect data at rest and in transit?
- Encryption at rest and SSL/TLS encryption for data in transit
- Role-based access control (RBAC) and network firewalls
- Intrusion Detection System (IDS) and Virtual Private Cloud (VPC)
- Data masking and tokenization
Understanding the security features of Cloud SQL is crucial for ensuring the protection of sensitive data stored in the cloud environment. Encryption at rest and SSL/TLS encryption are fundamental components of data security in transit and at rest, respectively.
How does Google Cloud Shell manage user authentication and access control?
- Integrates with Google Account
- Uses separate credentials for each session
- Requires manual token generation
- Employs third-party authentication services
Google Cloud Shell simplifies authentication and access control by integrating directly with your Google Account, ensuring secure and straightforward access to your cloud resources.
What is the maximum duration for a single execution of a Cloud Function?
- 9 minutes and 30 seconds
- 5 minutes
- 15 minutes
- 1 hour
Knowing the maximum duration for a Cloud Function execution is crucial for designing and optimizing serverless applications to meet performance and scalability requirements.