What is the primary purpose of Google Cloud's AI Platform?
- Building and deploying machine learning models at scale.
- Managing cloud infrastructure resources.
- Hosting websites and web applications.
- Storing and analyzing large datasets.
Understanding the primary purpose of Google Cloud's AI Platform is crucial for beginners looking to leverage machine learning capabilities in their projects. It helps organizations streamline the process of building, training, and deploying machine learning models at scale.
How does Google Cloud ensure durability and reliability for data stored in Nearline or Coldline storage?
- Redundant storage across multiple locations.
- Regular data compression and deduplication.
- Real-time data encryption for stored data.
- Automated data integrity checks and repairs.
Understanding how Google Cloud ensures durability and reliability for Nearline and Coldline storage is crucial for organizations entrusting their long-term data to these storage classes. It demonstrates the robustness of Google's infrastructure and data management practices.
Cloud Bigtable is integrated with _______ for easy integration with other Google Cloud services.
- Google Cloud Storage
- Google Cloud Pub/Sub
- Google Cloud Functions
- Google Cloud Datastore
Understanding the integration options for Cloud Bigtable is crucial for leveraging its capabilities effectively within the Google Cloud ecosystem. Knowing the integration points helps in designing and implementing scalable and efficient data solutions.
How does Cloud Bigtable differ from traditional relational databases?
- Schema flexibility
- ACID transactions
- Data normalization
- Structured query language (SQL) support
Understanding the differences between Cloud Bigtable and traditional relational databases is crucial for beginners transitioning to cloud-native data storage solutions. Recognizing the trade-offs involved helps in selecting the right database technology for specific application requirements.
What is IAM in the context of Google Cloud?
- Identity and Access Management
- Infrastructure Automation and Monitoring
- Internet Application Management
- Instance and API Management
Understanding IAM is crucial for managing security and access control within Google Cloud Platform. It ensures that only authorized users and services can access resources, helping to prevent unauthorized access and data breaches.
In what scenarios would you consider using Cloud Load Balancing with Google Kubernetes Engine (GKE)?
- Deploying Microservices
- Single-Instance Applications
- Development Environments
- On-premises Data Centers
Understanding the appropriate use cases for Cloud Load Balancing with Google Kubernetes Engine (GKE) is essential for designing scalable and resilient containerized applications. Deploying microservices architectures is a common scenario where Cloud Load Balancing provides value by efficiently distributing traffic among containerized services.
In the context of virtual machines, what does "scaling" refer to?
- Adjusting the size of the virtual machine resources, such as CPU and memory, to accommodate changing workload demands.
- Installing additional software on the virtual machine to enhance its capabilities.
- Increasing the number of virtual machines to distribute workloads across multiple instances.
- Moving the virtual machine from one physical server to another to balance resource usage.
Scaling is a fundamental concept in cloud computing, enabling systems to adapt to changing conditions and maintain performance and reliability. Understanding how scaling applies to virtual machines is essential for efficient resource management and application deployment.
_______ is a component of Stackdriver Monitoring that provides insights into application performance.
- Profiler
- Debugger
- Trace
- Error Reporting
Stackdriver Profiler is a crucial component for understanding application performance by analyzing code execution and resource usage, aiding in optimization and troubleshooting.
Cloud SQL offers fully managed _______ databases on Google Cloud Platform.
- MySQL
- PostgreSQL
- MongoDB
- Oracle
Understanding the supported database engines in Cloud SQL helps users choose the right solution for their specific application requirements. Cloud SQL simplifies database management tasks by providing a fully managed service, allowing users to focus on application development rather than infrastructure management.
Which of the following is not a typical use case for virtual machines?
- Hosting websites
- Running development tests
- Personal gaming setup
- Running legacy applications
VMs are typically used for tasks like hosting websites, running development tests, and running legacy applications, but they are not commonly used for personal gaming setups due to performance constraints.