Scenario: A company needs to process large volumes of data from various sources in real-time. Which Google Cloud service should they use for reliable and scalable message ingestion?
- Pub/Sub
- Cloud Storage
- BigQuery
- Compute Engine
Understanding the use cases and capabilities of different Google Cloud services is crucial for selecting the right tool for specific requirements. In this scenario, Pub/Sub is the most suitable choice for real-time message ingestion due to its reliability, scalability, and real-time processing capabilities.
Scenario: A company wants to automate the process of tuning hyperparameters for its image recognition model. Which feature of AI Platform should they leverage?
- AI Platform Notebooks
- AI Platform Training
- AI Platform HyperTune
- AI Platform Prediction
Automated hyperparameter tuning can significantly improve the performance of machine learning models by efficiently exploring the hyperparameter space. Leveraging AI Platform HyperTune simplifies this process, allowing organizations to optimize their models effectively.
What is the recommended practice for managing IAM permissions in Google Cloud across multiple projects?
- Use Google Cloud Organization policies to centrally manage IAM policies and permissions across all projects within the organization.
- Manage IAM permissions independently for each project to maintain flexibility and granularity in access control, even if it requires more manual effort to ensure consistency.
- Use Google Cloud Resource Manager to link projects together and manage IAM permissions collectively at the project level.
- Use Google Cloud Identity and Access Management (IAM) roles to assign permissions directly to individual users or groups across projects, ensuring fine-grained control over access rights.
Implementing centralized IAM management practices across multiple projects in Google Cloud ensures consistency, security, and governance. Understanding the recommended practices for managing IAM permissions at scale is essential for effectively securing cloud environments and complying with organizational policies and regulations.
The perimeter bridge in VPC Service Controls controls communication between _______ and data resources.
- users
- networks
- applications
- instances
Understanding the role of the perimeter bridge in controlling communication between users and data resources helps ensure that access to sensitive data is restricted to authorized entities within the VPC.
_______ in Stackdriver Trace helps in visualizing performance bottlenecks.
- Heatmaps
- Histograms
- Line Charts
- Pie Charts
Heatmaps in Stackdriver Trace offer a powerful visualization tool to pinpoint performance bottlenecks by highlighting areas of high latency.
Scenario: A company wants to ensure that only authorized services can access its sensitive data stored in Google Cloud Storage. Which Google Cloud service should they use?
- VPC Service Controls
- Cloud Identity and Access Management (IAM)
- Google Cloud Armor
- Cloud Data Loss Prevention (DLP)
Understanding the capabilities of different Google Cloud services is crucial for implementing effective security measures, especially when dealing with sensitive data. VPC Service Controls provide granular control over access to resources, ensuring only authorized services can interact with sensitive data stored in Google Cloud Storage.
Which Google Cloud service does Cloud Deployment Manager integrate with for resource provisioning and management?
- Google Cloud Storage
- Google Cloud Functions
- Google Cloud Monitoring
- Google Cloud Deployment Manager
Cloud Deployment Manager integrates with Google Cloud Storage for storing configuration files and templates, enabling centralized and version-controlled management of infrastructure configurations.
In what scenarios would you choose Cloud Storage Multi-Regional over Regional or Nearline storage classes?
- High Availability and Global Access
- Cost Optimization for Infrequently Accessed Data
- Regulatory Compliance and Data Sovereignty
- Small-scale Projects with Limited Budget
Understanding the appropriate use cases for different Google Cloud Storage classes helps optimize storage costs and performance based on specific project requirements and constraints.
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 Cloud Functions
- Google App Engine
- Google Compute Engine
- Google Cloud Run
Google App Engine abstracts the underlying infrastructure and handles the scaling automatically, allowing developers to focus on writing code without worrying about VM management.
Virtual machines allow users to run multiple _______ systems on a single physical server.
- Operating
- File
- Network
- Database
Understanding that virtual machines enable the concurrent operation of multiple operating systems on a single physical server is key to leveraging their benefits for workload isolation and resource optimization.