Scenario: A company is experiencing fluctuating traffic on its website. Which feature of Google Cloud can they leverage to automatically adjust the number of virtual machine instances based on demand?
- Google Cloud Load Balancing
- Google Cloud Autoscaler
- Google Kubernetes Engine
- Google Cloud Monitoring
Google Cloud Autoscaler is designed to handle fluctuating traffic by automatically increasing or decreasing the number of VM instances in response to changes in demand, providing a cost-effective and efficient solution for managing web traffic.
What are the key components of VPC Service Controls?
- Service Perimeter, Service Connector, Access Levels
- Firewall Rules, Identity-Aware Proxy, VPN Tunnel
- Load Balancer, Cloud CDN, Cloud Interconnect
- IAM Policies, Cloud Audit Logs, Security Command Center
Understanding the key components of VPC Service Controls is crucial for effectively configuring and managing security perimeters and access controls within Google Cloud environments. Familiarity with these components helps organizations implement robust security measures to protect sensitive data and resources.
What is the role of the Dataflow Shuffle service in Google Dataflow?
- It handles the shuffling and redistribution of data between worker nodes during the execution of a Dataflow job.
- It manages the communication between the Dataflow service and external storage systems, such as Cloud Storage or Bigtable.
- It provides real-time monitoring and debugging capabilities for Dataflow jobs running in production.
- It orchestrates the deployment and scaling of Dataflow worker nodes based on current resource demands.
Understanding the role of the Dataflow Shuffle service is essential for optimizing the performance and efficiency of Dataflow jobs, as efficient data shuffling and redistribution are critical for achieving high throughput and minimizing processing latency.
What are Network Service Tiers in Google Cloud primarily concerned with?
- Network Performance
- Storage Management
- Billing and Cost Management
- Authentication and Authorization
Understanding what Network Service Tiers are primarily concerned with helps beginners grasp their significance in optimizing network performance and reliability for applications and workloads in Google Cloud.
In Google Cloud's Network Service Tiers, _______ is a key consideration for certain applications.
- cost
- security
- scalability
- compliance
Understanding the factors that influence the selection of Network Service Tiers, such as cost, security, and compliance, helps users make informed decisions when designing and deploying applications on Google Cloud.
How does Persistent Disk differ from local disk storage in terms of data durability?
- Persistent Disk replicates data across multiple physical devices within a Google Cloud region, providing high durability and redundancy.
- Local disk storage relies solely on the physical disk of the virtual machine instance, offering lower durability compared to Persistent Disk.
- Persistent Disk and local disk storage offer similar levels of data durability since they both rely on physical disk hardware.
- Persistent Disk ensures data durability by periodically backing up data to Google Cloud Storage.
Understanding the differences between Persistent Disk and local disk storage in terms of data durability is crucial for beginners to make informed decisions about storage solutions in Google Cloud Platform, considering factors such as data resilience and fault tolerance.
What is the primary purpose of Google Cloud Storage?
- Storing and retrieving data in a highly available and durable manner.
- Running virtual machines in the cloud.
- Hosting websites and web applications.
- Analyzing big data in real-time.
Understanding the primary purpose of Google Cloud Storage helps beginners grasp its role in the broader ecosystem of Google Cloud Platform services. It provides a foundational understanding for utilizing storage solutions effectively in cloud-based applications and workflows.
Health checks in Cloud Load Balancing help in ensuring the _______ of instances before directing traffic to them.
- availability
- performance
- scalability
- security
Understanding the role of health checks in load balancing is crucial for maintaining the reliability and availability of applications deployed in cloud environments.
Cloud Datastore provides _______ consistency for read operations by default.
- Eventual
- Strong
- Linearizable
- Weak
Understanding the default consistency model of Cloud Datastore is crucial for designing applications and handling data consistency requirements effectively. Knowing the differences between eventual consistency and other consistency models is essential for making informed decisions.
In TensorFlow Extended (TFX), which component is used for orchestrating and managing machine learning pipelines on Google Cloud?
- TensorFlow Serving
- TensorFlow Data Validation
- TensorFlow Model Analysis
- TensorFlow Extended (TFX) Pipeline
Understanding the role of each TFX component is crucial for designing and implementing end-to-end machine learning pipelines on Google Cloud. The TFX Pipeline component serves as the backbone for orchestrating and managing pipelines, ensuring efficient and reliable execution of ML workflows in production environments.