In the context of AI Platform, what does "training" refer to?
- The process of using data to teach a machine learning model to make predictions or perform tasks.
- Deploying a trained model to production servers.
- Evaluating the performance of a trained model using test data.
- Generating synthetic data for training purposes.
Understanding what "training" refers to in the context of AI Platform is essential for beginners learning about machine learning workflows. It involves the fundamental process of teaching machine learning models to perform tasks or make predictions based on labeled data.
In Google Kubernetes Engine, a _______ is a logical collection of one or more machines.
- Node Pool
- Container Cluster
- Pod
- Namespace
Understanding the concept of node pools is essential in Google Kubernetes Engine (GKE) as they enable efficient management of resources and workloads within a Kubernetes cluster. Recognizing the terminology used in GKE helps in effective communication and configuration of infrastructure.
How does Google Cloud handle the maintenance of virtual machines to ensure high availability?
- Live Migration
- Snapshotting
- Auto Healing
- Redundancy Zones
Live Migration is a key feature that allows Google Cloud to perform maintenance on its infrastructure without affecting the availability of virtual machines, ensuring continuous operation and high availability.
Cloud Load Balancing supports multiple _______ algorithms for distributing traffic intelligently.
- Round Robin
- Least Connections
- IP Hash
- Random
Cloud Load Balancing employs various algorithms to optimize traffic distribution, improving performance and reliability by efficiently using available resources. Understanding these algorithms is crucial for effective load balancing strategy.
How does Cloud Load Balancing ensure that traffic is directed to healthy instances and avoids those that are experiencing issues?
- Health Checks
- Round-robin Routing
- IP Hashing
- Weighted Routing
Understanding how Cloud Load Balancing ensures traffic is directed to healthy instances is essential for maintaining high availability and reliability in distributed systems. Health checks play a crucial role in this process by continuously monitoring the status of backend instances and removing unhealthy instances from the pool.
Scenario: A developer needs to deploy a scalable application that runs on multiple virtual machines. Which Google Cloud service would be the most suitable for this requirement, considering ease of management and scalability?
- Google Kubernetes Engine (GKE)
- Google Compute Engine (GCE)
- Google Cloud Functions
- Google App Engine
Google Kubernetes Engine provides developers with a powerful and flexible platform for deploying and managing scalable applications across multiple virtual machines. Understanding the benefits of GKE and its suitability for different types of workloads is essential for making informed architectural decisions in cloud environments.
Which Google Cloud service integrates seamlessly with BigQuery for real-time data streaming and analysis?
- Cloud Dataflow
- Cloud Pub/Sub
- Cloud Storage
- Cloud Dataprep
Understanding the integration between BigQuery and other Google Cloud services is crucial for designing and implementing real-time data analytics solutions. Cloud Dataflow's seamless integration with BigQuery enables organizations to process and analyze streaming data effectively.
Scenario: A startup company wants to reduce latency and improve network performance for accessing Google Cloud services. Which networking solution should they consider implementing, interconnect or peering, and what benefits does it offer?
- Peering
- Interconnect
- SD-WAN
- MPLS
Peering is a suitable networking solution for startups aiming to reduce latency and improve network performance for accessing Google Cloud services. By establishing direct connections at Internet Exchange Points (IXPs), peering provides an efficient path for traffic exchange, resulting in enhanced user experience and reduced latency. Understanding the advantages of peering over interconnect helps organizations optimize their network infrastructure for cloud connectivity.
Cloud Shell is accessible from the _______ Console.
- GCP
- Google Cloud
- Developer
- Admin
Cloud Shell is integrated into the Google Cloud Console, providing a convenient way to manage resources and execute commands.
In Cloud Functions, what triggers can be used to invoke function execution?
- HTTP Requests, Pub/Sub Messages, Cloud Storage Events, Firestore Events, and more.
- Only HTTP Requests
- Only Cloud Storage Events
- Only Pub/Sub Messages
Understanding the available triggers for Cloud Functions is crucial for developers to design applications that respond effectively to different types of events and stimuli. This knowledge helps in architecting robust and scalable event-driven systems.