Which Google Cloud service provides access to Cloud Billing APIs?
- Cloud Billing
- Cloud Pub/Sub
- BigQuery
- Cloud Storage
Cloud Billing APIs are part of the Cloud Billing service, allowing for efficient billing management and cost optimization through programmatic access.
In the context of TensorFlow on GCP, what is TensorFlow Data Validation used for?
- TensorFlow Data Validation is used to analyze and validate training data to identify anomalies, inconsistencies, and data quality issues.
- TensorFlow Data Validation is primarily used for model inference and evaluation, ensuring that deployed models perform accurately on new data.
- TensorFlow Data Validation facilitates real-time data streaming and processing for continuous model training and updating.
- TensorFlow Data Validation provides tools for model interpretation and explainability, helping stakeholders understand how models make predictions.
Understanding the role of TensorFlow Data Validation in the ML pipeline on Google Cloud Platform is crucial for ensuring the quality and reliability of machine learning models deployed in production environments.
Stackdriver Logging provides _______ storage for log data, allowing users to retain logs for analysis and compliance purposes.
- Scalable
- Fixed
- Limited
- Dynamic
Stackdriver Logging provides scalable storage for log data, enabling users to retain logs for analysis and compliance, ensuring data availability and compliance with regulatory requirements.
_______ is a feature of Google Cloud Dataproc that automatically adjusts cluster size based on workload requirements.
- Autoscaling
- Load Balancing
- Predictive Scaling
- Elastic Scaling
Understanding autoscaling in Google Cloud Dataproc is crucial for users seeking to optimize resource usage and manage costs effectively by automatically adjusting cluster sizes based on workload demands.
Which Google Cloud service integrates seamlessly with Google Dataflow for data processing?
- BigQuery
- Cloud Storage
- Compute Engine
- Cloud Pub/Sub
Understanding the integration between Google Dataflow and other Google Cloud services is essential for designing and implementing scalable and efficient data processing pipelines. BigQuery's seamless integration with Dataflow enables organizations to perform real-time or batch data processing and analysis with ease.
_______ allows users to configure virtual machine instances with predefined or custom machine types.
- Google Compute Engine
- Google Kubernetes Engine
- Google Cloud Functions
- Google Cloud Storage
Understanding how to configure virtual machine instances with predefined or custom machine types on Google Compute Engine is essential for optimizing performance, cost, and resource utilization in cloud deployments.
What role does a cache key play in Cloud CDN?
- Identifying unique content to be cached
- Encrypting cached data for security
- Monitoring cache hit ratios
- Scheduling cache updates
The cache key is crucial for uniquely identifying pieces of content in the cache. This ensures accurate storage and retrieval, which is essential for the efficient operation of a CDN.
IAM enables _______ based access to Google Cloud resources.
- Role
- User
- Resource
- Service
Understanding role-based access control (RBAC) and its implementation in IAM is crucial for organizations to effectively manage access to Google Cloud resources, reduce complexity, and enforce security best practices.
What is the primary purpose of Google Cloud Pub/Sub?
- Real-time messaging
- Database Management
- Event-driven architecture
- Video Streaming
Understanding the primary purpose of Google Cloud Pub/Sub is crucial for beginners to grasp its role in designing and implementing scalable and resilient distributed systems.
Scenario: A startup wants to deploy a web application without worrying about infrastructure management. Which service of Google Cloud would be the most suitable option for them?
- Google App Engine
- Google Compute Engine
- Google Kubernetes Engine
- Google Cloud Functions
Google App Engine is the most suitable option for startups seeking to deploy web applications without the burden of managing infrastructure. Its fully managed platform enables developers to focus on application development and innovation without worrying about server provisioning, scaling, or maintenance.