IAM allows organizations to implement _______ access policies.
- Fine-grained
- Broad
- Temporary
- Default
Understanding the granularity of access policies supported by IAM is crucial for organizations to enforce security best practices and regulatory compliance while ensuring efficient resource management and access control.
Persistent _______ storage in Google Cloud Shell allows users to store data and configurations persistently.
- disk
- ephemeral
- object
- cache
Persistent disk storage in Google Cloud Shell ensures that users' data and configurations are saved across sessions, providing continuity and convenience.
What are the benefits of using Cloud Datastore's schema-less design?
- Flexible Data Model
- Improved Performance
- Enhanced Security
- Reduced Storage Costs
Understanding the benefits of Cloud Datastore's schema-less design is essential for leveraging its capabilities effectively in application development and data management. Developers can take advantage of the flexibility and performance benefits to build scalable and adaptable systems.
What is the significance of the persistent disk storage provided by Google Cloud Shell?
- Allows storage of session data
- Ensures data is wiped after each session
- Provides temporary storage for active sessions
- Offers additional storage at extra cost
Persistent disk storage in Google Cloud Shell is crucial for retaining your files, configurations, and other session data across multiple sessions, enhancing usability and convenience.
Scenario: A company is concerned about DDoS attacks targeting its web application. How can Cloud CDN assist in mitigating such attacks?
- By absorbing and dispersing large amounts of traffic across its network
- By providing a firewall to block malicious traffic
- By encrypting data to prevent interception
- By limiting the number of requests to the origin server
Cloud CDN helps mitigate DDoS attacks by absorbing and dispersing traffic across its global network of edge locations, preventing the origin server from being overwhelmed by high volumes of malicious traffic.
What is BigQuery primarily used for in Google Cloud?
- Analyzing Large Datasets
- Hosting Websites
- Managing Virtual Machines
- Creating Virtual Networks
Understanding the primary use case of BigQuery is essential for beginners to grasp its role in data analytics and cloud computing. Recognizing what BigQuery is not designed for helps avoid misconceptions about its capabilities and limitations.
How does Google App Engine handle traffic spikes in applications?
- By automatically scaling up or down the number of instances based on traffic patterns and configured scaling settings.
- By placing limits on the number of requests each instance can handle, preventing overload during spikes.
- By deploying additional instances manually in response to increased traffic, using tools provided by Google Cloud Platform.
- By caching frequently accessed data and serving it directly from memory, reducing the load on application instances.
Understanding how Google App Engine handles traffic spikes is crucial for designing scalable and resilient applications on the platform. By leveraging automatic scaling capabilities, developers can ensure that their applications remain responsive and available under varying workload conditions.
Scenario: A company needs to implement single sign-on for its employees to access various cloud-based applications securely. Which Google Cloud service would be suitable for achieving this?
- Google Cloud Identity Platform
- Google Cloud IAM
- Google Cloud Directory Sync
- Google Workspace
The Google Cloud Identity Platform is specifically designed to provide secure and seamless access to cloud-based applications through single sign-on (SSO) and other identity services, making it the most suitable choice for implementing SSO in this scenario.
Which Google Cloud service can be integrated with Stackdriver Logging to provide comprehensive monitoring and analysis capabilities?
- Stackdriver Monitoring
- Firebase
- Cloud SQL
- Kubernetes Engine
Stackdriver Monitoring integrates with Stackdriver Logging to provide a comprehensive solution for monitoring and analyzing Google Cloud services and infrastructure.
Which of the following options is a key difference between interconnect and peering?
- Ownership of Infrastructure
- Data Encryption
- Network Latency
- Network Protocol
Understanding the key differences between interconnect and peering is important for selecting the appropriate networking solution based on factors such as ownership, control, and cost.
Log _______ in Stackdriver Logging help users to identify and troubleshoot issues efficiently.
- Aggregation
- Visualization
- Archiving
- Rotation
Aggregated logs in Stackdriver Logging help users efficiently identify and troubleshoot issues by providing a centralized view of log data from various sources.
What does ACID stand for in the context of Cloud Datastore transactions?
- Atomicity, Consistency, Isolation, Durability
- Asynchronous, Concurrent, Isolated, Durable
- Associated, Committed, Integrated, Durable
- Automated, Consistent, Isolated, Distributed
Understanding the ACID properties of database transactions is crucial for designing and implementing robust data storage solutions. Cloud Datastore provides ACID-compliant transactions, ensuring data consistency and reliability in distributed environments.