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 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 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.
What is Google Cloud Dataproc primarily used for?
- Big Data Processing
- Cloud Storage
- Machine Learning
- Virtual Machines
Understanding the primary use case of Google Cloud Dataproc is crucial for users looking to leverage its capabilities for big data processing and analytics tasks. Recognizing its strengths and limitations helps in making informed decisions about utilizing the service.
_______ 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 Deployment Manager differ from traditional infrastructure management methods?
- Declarative Configuration
- Imperative Commands
- Manual Configuration
- GUI-based Deployment
Cloud Deployment Manager introduces a declarative approach to infrastructure management, enabling easier automation, consistency, and version control of infrastructure configurations.
In AI Platform, what is the purpose of hyperparameter tuning?
- Optimizing Model Performance
- Managing Data Storage
- Controlling Access Permissions
- Visualizing Model Outputs
Understanding the purpose and techniques of hyperparameter tuning is crucial for optimizing machine learning models' performance on AI Platform. Hyperparameter tuning helps data scientists find the best configuration for their models, leading to improved accuracy and effectiveness in real-world applications.
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.