In Google Cloud, what feature allows users to automatically manage and scale virtual machine instances based on demand?
- Autoscaler
- Load Balancer
- Instance Groups
- Cloud Scheduler
The Autoscaler feature in Google Cloud enables dynamic scaling of virtual machine instances based on real-time demand, providing efficient resource utilization and cost management.
Scenario: A company wants to implement automated cost monitoring and analysis of their Google Cloud usage. Which Google Cloud service should they leverage, considering programmatic access to billing data?
- Cloud Billing Reports
- Cloud Storage
- BigQuery
- Stackdriver Monitoring
BigQuery is ideal for analyzing large datasets, including billing data, allowing companies to monitor and analyze their cloud usage programmatically.
Google Cloud provides _______ encryption for Persistent Disk to ensure data security.
- Client-side
- Server-side
- End-to-end
- File-level
Understanding the encryption options provided by Google Cloud for Persistent Disk is crucial for ensuring data security and compliance with regulatory requirements. Knowing the difference between client-side and server-side encryption helps users make informed decisions based on their security needs and trust in the cloud provider's infrastructure.
What is the maximum size of a single Persistent Disk that can be attached to a virtual machine instance in Google Cloud?
- 64 TB
- 10 TB
- 1 PB
- 100 GB
Understanding the limitations and capabilities of Persistent Disks in Google Cloud is crucial for designing and deploying scalable and reliable storage solutions for virtual machine instances. Knowing the maximum size helps in planning storage requirements effectively.
What type of scaling does Cloud SQL offer to handle increased workload demands?
- Vertical Scaling
- Horizontal Scaling
- Automatic Scaling
- Hybrid Scaling
Understanding the scaling options available in Cloud SQL is essential for designing scalable and cost-effective database architectures that can adapt to changing workload demands.
Cloud Load Balancing helps in _______ traffic across multiple instances to ensure optimal performance.
- distributing
- managing
- securing
- aggregating
Understanding the role of load balancing in distributing traffic is essential for optimizing application performance and ensuring reliability in cloud environments.
Cloud SQL provides built-in _______ to protect against data loss due to accidental deletions or corruptions.
- Point-in-time recovery
- Data Encryption
- Load Balancing
- Key Management
Built-in features like point-in-time recovery are critical for data protection and compliance in Cloud SQL deployments, providing peace of mind against potential data loss incidents.
Which of the following is NOT a characteristic of Nearline or Coldline storage?
- High Availability
- Low Cost
- Infrequent Access
- High Throughput
Identifying the characteristics of Nearline and Coldline storage helps users understand the benefits and limitations of these storage classes for different use cases. Recognizing what is not characteristic of these storage classes is essential for making informed decisions about storage strategy.
Google Cloud Storage offers _______ encryption for data at rest by default.
- Server-side
- Client-side
- End-to-end
- Transparent
Understanding the default encryption options provided by Google Cloud Storage is crucial for ensuring the security of data stored in the cloud. Server-side encryption at rest is a standard security feature that helps protect sensitive information from unauthorized access.
Cloud Functions are billed based on _______.
- Invocation Counts
- Compute Time
- Memory Usage
- Storage Usage
Understanding how Cloud Functions are billed is crucial for optimizing cost and resource allocation in serverless architectures. Knowing that invocation counts contribute to billing helps users estimate costs and plan deployments effectively.