Cloud Datastore offers _______ indexing to optimize query performance.
- Composite
- Single-property
- Hierarchical
- Static
Understanding the indexing capabilities of Cloud Datastore is essential for designing efficient data models and optimizing query performance. Knowing the differences between composite indexing and other indexing options helps developers choose the appropriate indexing strategy for their applications.
In Google Cloud Functions, what is the purpose of the package.json file?
- Managing dependencies and defining configuration settings for the Cloud Function.
- Storing environment variables for the Cloud Function.
- Defining IAM policies for accessing Cloud Function resources.
- Specifying networking rules for inbound and outbound traffic.
Understanding the role of the package.json file in Google Cloud Functions is essential for managing dependencies and configuring settings to ensure smooth deployment and execution of serverless functions.
Cloud Datastore automatically _______ data to provide high availability and durability.
- Replicates
- Encrypts
- Shards
- Compression
Understanding how Cloud Datastore ensures high availability and durability through data replication is essential for designing resilient and reliable applications. Knowing the mechanisms used for data replication helps developers understand the underlying infrastructure and make informed decisions about data management.
In cloud networking, what term refers to the direct physical connection between a company's network and a cloud provider's network?
- Direct Connect
- Cloud Bridge
- Network Gateway
- Virtual Private Network (VPN)
Understanding the terminology used in cloud networking, including the term for the direct physical connection between a company's network and a cloud provider's network, is crucial for effectively designing and managing network architectures in the cloud.
How does Google Cloud Storage ensure data durability and availability?
- Data Replication
- Data Encryption
- Data Compression
- Data Fragmentation
Understanding how Google Cloud Storage ensures data durability and availability is crucial for designing resilient and reliable storage solutions in cloud environments.
Scenario: A company requires a highly available and scalable database solution. Which Cloud SQL feature should they leverage to meet this requirement?
- Read Replicas
- Point-in-time Recovery
- Private IP Connectivity
- Data Encryption at Rest
Achieving high availability and scalability is crucial for demanding database workloads. Understanding which Cloud SQL feature can fulfill these requirements helps organizations design robust and scalable database solutions.
_______ is a feature in Stackdriver Logging that enables users to define custom log-based metrics for monitoring and alerting.
- Logs-based Metrics
- Logs Viewer
- Log Exports
- Log Highlights
Logs-based Metrics is a powerful feature in Stackdriver Logging that enables users to create custom metrics based on log data, enhancing monitoring and alerting capabilities.
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.
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 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.
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.
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.