Google Cloud Deployment Manager uses _______ to define the desired state of resources.
- Templates
- Scripts
- Blueprints
- Manifests
Templates in Google Cloud Deployment Manager serve as blueprints for creating and managing cloud resources, ensuring consistency and repeatability in deployments.
What does VM stand for in the context of cloud computing?
- Virtual Machine
- Variable Module
- Virtual Module
- Virtual Management
In cloud computing, VM stands for Virtual Machine, which allows for running multiple operating systems on a single physical machine.
Cloud Billing APIs enable users to retrieve detailed _______ information.
- cost
- usage
- security
- latency
Cloud Billing APIs are designed to provide detailed cost information, helping users understand their cloud expenses.
Scenario: A large organization requires secure DNS resolution and protection against DDoS attacks. Which feature of Cloud DNS should they leverage?
- Cloud DNS Security
- Global Anycast Network
- DNS Caching
- Traffic Management Policies
Security is a critical consideration for organizations managing DNS infrastructure, especially for large enterprises facing potential DDoS attacks. Leveraging features like DNSSEC and DDoS protection in Cloud DNS can help ensure secure and reliable DNS resolution.
In what format are billing data retrieved through Cloud Billing APIs?
- JSON
- CSV
- XML
- Plain Text
Billing data retrieved through Cloud Billing APIs is typically in JSON format, which is widely used for its simplicity and ease of use in web applications.
Scenario: An organization needs to set up log-based alerts for detecting security breaches in real-time. Which feature of Stackdriver Logging can fulfill this requirement?
- Logs-based metrics and alerts
- Log exports to BigQuery
- Log-based filters and queries
- Log aggregation and storage
Logs-based metrics and alerts enable organizations to proactively detect security breaches by defining custom metrics and triggering alerts in real-time based on log data, enhancing security posture and incident response capabilities.
Nearline and Coldline storage offer _______ durability compared to Standard storage in Google Cloud Platform.
- higher
- lower
- equal
- variable
Understanding the durability characteristics of different storage classes in Google Cloud Platform (GCP) helps in selecting the appropriate storage solution based on data retention needs and risk tolerance. Nearline and Coldline storage classes offer higher durability compared to Standard storage, making them suitable for long-term data storage requirements.
What is the main advantage of using Google Cloud Dataproc for big data processing?
- Rapid Provisioning
- Cost Efficiency
- Advanced Security
- Built-in Machine Learning
Understanding the benefits of using Google Cloud Dataproc for big data processing helps users make informed decisions about selecting the right tools and services for their data analytics workflows. Rapid provisioning is particularly advantageous for agile development and experimentation.
How does Cloud SQL ensure data durability and reliability?
- Replication
- Compression
- Encryption
- Caching
Understanding how Cloud SQL ensures data durability and reliability is crucial for designing resilient and highly available database architectures in cloud environments.
TensorFlow on GCP enables seamless integration with Google Cloud _______ for model deployment and serving.
- AI Platform
- Cloud Functions
- Cloud Run
- Cloud Storage
Google Cloud AI Platform offers seamless integration with other Google Cloud services, providing a comprehensive solution for deploying and serving TensorFlow models at scale. Understanding the integration capabilities of AI Platform is crucial for intermediate users deploying machine learning models on Google Cloud Platform.
Which of the following data models does Cloud Datastore support?
- Document-oriented and Entity-relationship
- Relational Only
- Key-value Only
- Graph Only
Understanding the supported data models of Cloud Datastore helps beginners design their data schemas effectively and choose appropriate data modeling techniques for their applications. Recognizing the flexibility of data models offered by Cloud Datastore is crucial for building scalable and adaptable systems.
What are the potential cost-saving benefits of utilizing Nearline or Coldline storage for long-term data retention?
- Lower storage costs compared to standard storage classes.
- Faster access times for data retrieval.
- Higher durability and reliability for stored data.
- Increased scalability for storage capacity.
Understanding the cost-saving benefits of Nearline and Coldline storage helps organizations make informed decisions about data storage strategies, particularly for long-term retention needs where access frequency may be low.