Google Cloud CDN uses _______ technology to ensure fast and reliable content delivery.
- Caching
- VPN
- Blockchain
- Load Balancing
Google Cloud CDN uses caching technology to store copies of content closer to end-users, significantly reducing latency and improving load times, which ensures fast and reliable content delivery.
Which of the following is a supported database engine in Cloud SQL?
- MySQL
- MongoDB
- PostgreSQL
- SQLite
Knowing the supported database engines in Cloud SQL is crucial for users to choose the appropriate database technology for their applications and projects on Google Cloud Platform.
Which of the following data types is commonly stored in Cloud Storage?
- Images, videos, and documents.
- Structured databases
- Source code repositories
- Software executables
Recognizing the types of data commonly stored in Cloud Storage helps beginners understand its versatility and applicability to various use cases, from media storage to data backups. It highlights the importance of choosing the right storage solution based on the nature of the data being managed.
_______ is a key concept in VPC Service Controls that defines the scope of access to protected resources.
- Perimeter
- Encryption
- Authorization
- Authentication
Understanding the concept of perimeters in VPC Service Controls is essential for defining and enforcing access boundaries within Google Cloud Platform, ensuring the security of sensitive data and resources.
Scenario: A company is experiencing intermittent performance issues with its web application deployed on Google Cloud Platform. How can Stackdriver Monitoring help diagnose and resolve these issues?
- Analyzing resource utilization metrics
- Setting up custom dashboards
- Enabling uptime checks
- Configuring alerting policies
Analyzing resource utilization metrics in Stackdriver Monitoring can pinpoint areas of resource contention or saturation, aiding in the diagnosis and resolution of performance issues.
Google Cloud Functions automatically scales based on _______.
- Incoming traffic
- Deployment size
- Execution time
- Network latency
Understanding how Cloud Functions auto-scale based on incoming traffic helps users design and optimize their applications for performance and cost efficiency.
What are some benefits of using BigQuery's slot-based pricing model for resource allocation?
- Predictable Costs
- Scalability
- Performance
- Cost Flexibility
Understanding the benefits of BigQuery's slot-based pricing model is essential for optimizing resource allocation and cost management in analytics projects. By leveraging slots, organizations can achieve predictable costs, scalability, performance, and cost flexibility, enabling them to maximize the value of their data analytics investments.
What is one key advantage of using AI Platform for machine learning projects?
- Managed Infrastructure
- Lower Cost
- Limitations on Model Size
- Manual Scaling
Recognizing the advantages of using AI Platform for machine learning projects helps professionals make informed decisions about tooling and infrastructure options. Managed infrastructure, scalability, and flexibility are key benefits that contribute to the efficiency and effectiveness of ML workflows on Google Cloud Platform.
With Cloud DNS, users can integrate DNS _______ with other Google Cloud services.
- Management
- Resolution
- Authentication
- Billing
With Cloud DNS, users can integrate DNS management capabilities with other Google Cloud services, allowing for seamless configuration, automation, and management of DNS settings to support various applications and services hosted on Google Cloud Platform. Understanding how DNS integration works with other Google Cloud services is essential for optimizing infrastructure and workflow efficiencies in the cloud.
Which of the following is not a feature of Google Cloud Shell?
- Built-in code editor
- Multiplayer Gaming
- Pre-installed tools and libraries
- Persistent disk storage
While Google Cloud Shell offers various features for cloud development and management, multiplayer gaming is not one of them.
What is the significance of the term "cluster" in the context of Google Cloud Dataproc?
- A group of virtual machines configured to work together to process data in parallel.
- A collection of data storage nodes used for storing data persistently.
- A scheduling mechanism for orchestrating data processing workflows.
- An instance of a virtual machine running a specific data processing application.
Understanding the concept of clusters in Google Cloud Dataproc is essential for users to effectively manage and utilize the service for big data processing tasks. It involves provisioning, configuring, and scaling clusters to meet workload demands efficiently.
Which of the following is not a typical use case for Pub/Sub?
- Data Warehousing
- Event Sourcing
- Stream Processing
- Task Scheduling
Identifying typical and atypical use cases for Pub/Sub helps beginners understand its strengths and limitations, enabling them to make informed decisions when designing architectures and selecting technologies.