Google Professional Cloud Network Engineer Interview Questions

Google Professional Cloud Network Engineer is a highly sought-after certification that demonstrates an individual’s expertise in designing, implementing, and managing network solutions on the Google Cloud Platform. If you are preparing for a Google Professional Cloud Network Engineer interview, it is essential to have a strong understanding of networking concepts, as well as experience working with the Google Cloud Platform.

In this blog, we will cover some common interview questions that you may encounter when applying for a Google Professional Cloud Network Engineer role. These questions are designed to test your knowledge of networking principles, as well as your ability to work with Google Cloud Platform tools and services. We will provide sample answers and explanations for each question to help you prepare for your interview and improve your chances of success.

Advanced Interview Questions

How do you design and implement a scalable and highly available network infrastructure on Google Cloud Platform?

Designing and implementing a scalable and highly available network infrastructure on Google Cloud Platform involves several steps:

Using Virtual Private Cloud (VPC) networks: Create a VPC network to provide a logically isolated section of the Google Cloud Platform where you can launch resources in a virtual network that you define.
Using subnets: Create subnets within the VPC to segment the network and control access to resources.
Using Cloud VPN or Cloud Interconnect: Connect on-premises networks to the VPC network using Cloud VPN or Cloud Interconnect to provide secure and reliable communication between the on-premises and the cloud networks.
Using Cloud Router: Configure Cloud Router for dynamic routing within the VPC network and between on-premises networks and the VPC network.
Using load balancers: Use load balancers, such as Network Load Balancer or HTTP(S) Load Balancer, to distribute traffic to multiple instances of an application and to ensure high availability.
Using firewall rules: Use firewall rules to control access to resources within the VPC network.
Using Cloud Armor: Use Cloud Armor to protect your application from DDoS attacks and other forms of network-based threats.
Monitoring and logging: Use Stackdriver to monitor and log network traffic and to troubleshoot network issues.
Using Cloud CDN: Use Cloud CDN to cache and serve content from a location that is closest to the user, reducing latency and improving performance.
Scaling the infrastructure: Scale the infrastructure as needed by adding more resources, such as load balancers, firewall rules, and subnets, to support growth and changing needs.

Can you explain the differences between using VPCs and VNets on Google Cloud Platform?

VPC and VNet are both virtual private networks, but they refer to different cloud platforms:

VPC (Virtual Private Cloud) is a service offered by Google Cloud Platform (GCP) that allows users to create a logically isolated section of the GCP where they can launch their resources in a virtual network that they define. VPC allows users to create and configure custom network topologies, assign IP ranges, create subnets and configure routing and firewall rules.

VNet (Virtual Network) is a service offered by Microsoft Azure that allows users to create a logically isolated section of the Azure cloud where they can launch their resources in a virtual network that they define. VNet allows users to create and configure custom network topologies, assign IP ranges, create subnets, and configure routing and firewall rules.

In summary, VPC is a service offered by GCP, while VNet is a service offered by Azure. Both services allow users to create virtual private networks and customize their network topologies, but they are not interchangeable and are specific to their respective platforms.

How do you troubleshoot and resolve network connectivity issues on Google Cloud Platform?

Troubleshooting and resolving network connectivity issues on Google Cloud Platform involves several steps:

Checking firewall rules: Verify that the firewall rules in your VPC network are configured correctly and that they allow the necessary traffic.
Checking routing tables: Verify that the routing tables in your VPC network are configured correctly and that they correctly direct traffic to the intended destinations.
Checking the status of network services: Check the status of network services, such as Cloud VPN and Cloud Interconnect, to ensure that they are up and running.
Checking the status of instances: Check the status of instances and ensure that they are running and that they have the necessary network access.
Checking the status of load balancers: Check the status of load balancers and ensure that they are distributing traffic correctly.
Using Stackdriver: Use Stackdriver to monitor and log network traffic and to troubleshoot network issues.
Using traceroute and ping: Use traceroute and ping to check the network path between instances and to identify any bottlenecks or connectivity issues.
Using Cloud SDK: Use Cloud SDK to check the network configuration and status, including firewall rules, routes, and instances.
Checking the documentation: Check the documentation and best practices for troubleshooting network issues on Google Cloud Platform.
Seeking help from Google Cloud Support: If you are unable to resolve the issue, seek help from Google Cloud Support. They will provide assistance and guidance for troubleshooting and resolving the issue.

It’s important to keep in mind that troubleshooting network issues on GCP requires a thorough understanding of the network architecture and of the different components involved. It also requires the ability to use various tools and methodologies to identify and isolate the problem.

How do you implement security and access controls for network resources on Google Cloud Platform?

Implementing security and access controls for network resources on Google Cloud Platform involves several steps:

Using firewall rules: Create firewall rules to control inbound and outbound traffic to and from resources in your VPC network.
Using VPC Network Peering: Use VPC Network Peering to connect different VPC networks and control the flow of traffic between them.
Using Cloud VPN or Cloud Interconnect: Use Cloud VPN or Cloud Interconnect to connect on-premises networks to the VPC network and control the flow of traffic between them.
Using Cloud Identity-Aware Proxy (IAP): Use Cloud Identity-Aware Proxy (IAP) to control access to resources, such as applications and APIs, based on the identity of the user.
Using Cloud Armor: Use Cloud Armor to protect your application from DDoS attacks and other forms of network-based threats.
Using Cloud DNS: Use Cloud DNS to secure your domain by configuring DNSSEC and DNSCrypt to encrypt DNS traffic.
Using Cloud Key Management Service (KMS) : Use Cloud KMS to encrypt sensitive data, such as keys and secrets, and to control access to them.
Using Stackdriver: Use Stackdriver to monitor and log network traffic and to detect and respond to security incidents.
Using Identity and Access Management (IAM): Use IAM to control access to GCP resources, such as VPC networks, firewall rules, and VPNs, based on the identity of the user.
Conducting regular security assessments and vulnerability scans: Regularly conduct security assessments and vulnerability scans to identify and remediate security vulnerabilities in your network infrastructure.

It’s important to keep in mind that security and access controls are an ongoing process, it requires regular monitoring, review and updates to ensure that the security measures remain effective and that the organization is able to quickly respond to any security incidents.

Can you explain the use of load balancers, firewalls and VPNs on Google Cloud Platform?

Load balancers: Load balancers on Google Cloud Platform (GCP) distribute incoming traffic across multiple instances of an application to ensure high availability and scalability. GCP offers several types of load balancers, including Network Load Balancer, HTTP(S) Load Balancer and SSL Proxy Load Balancer, that can be used to balance traffic based on different criteria.
Firewalls: Firewalls on GCP are used to control inbound and outbound traffic to and from resources in a VPC network. Firewall rules can be created to allow or deny traffic based on IP addresses, ports, and protocols. GCP firewall rules are stateful, meaning that they automatically allow return traffic that is associated with an established connection.
VPNs: VPNs on GCP, such as Cloud VPN and Cloud Interconnect, are used to connect on-premises networks to the GCP VPC network. They provide a secure and reliable communication channel between the on-premises and cloud networks, allowing resources to access each other as if they were on the same network. Cloud VPN uses IPsec to encrypt the traffic, while Cloud Interconnect uses VLANs to connect to GCP.

In summary, Load Balancers distribute traffic across multiple instances, Firewalls control the traffic to and from resources in a VPC network, and VPNs connect on-premises networks to the GCP VPC network. These network tools are used in combination to provide a secure, reliable and available network infrastructure on GCP.

How do you optimize network performance on Google Cloud Platform?

Optimizing network performance on Google Cloud Platform involves several steps:

Choosing the right load balancer: Choose the right load balancer for your application, such as Network Load Balancer or HTTP(S) Load Balancer, to ensure that traffic is distributed efficiently.
Using Cloud CDN: Use Cloud CDN to cache and serve content from a location that is closest to the user, reducing latency and improving performance.
Using Cloud Interconnect: Use Cloud Interconnect to establish a high-bandwidth, low-latency connection to GCP from on-premises locations to improve performance.
Using Cloud VPN: Use Cloud VPN to securely connect on-premises networks to GCP and improve performance for remote and mobile users.
Using Cloud Router: Use Cloud Router to configure dynamic routing for VPC networks on GCP and improve performance by directing traffic along the most efficient path.
Using Stackdriver: Use Stackdriver to monitor and log network traffic and to identify and troubleshoot performance issues.
Using Cloud Trace: Use Cloud Trace to analyze the performance of your applications and identify bottlenecks.
Using Cloud Profiler: Use Cloud Profiler to collect and analyze performance data for your applications and identify performance issues.
Scaling the infrastructure: Scale the infrastructure as needed by adding more resources, such as load balancers, firewall rules, and subnets, to support growth and changing needs.
Monitoring and reviewing the network performance regularly: Regularly monitor and review the network performance using tools such as Stackdriver and Cloud Trace to identify and resolve performance issues.

It’s important to keep in mind that network performance optimization is an ongoing process, it requires regular monitoring, review and updates to ensure that the network infrastructure is meeting the organization’s needs and can accommodate changes in traffic patterns and usage.

How do you integrate on-premises networks with Google Cloud Platform using Cloud VPN or Cloud Interconnect?

Integrating on-premises networks with Google Cloud Platform (GCP) using Cloud VPN or Cloud Interconnect involves several steps:

Cloud VPN:

Create a Cloud VPN gateway on GCP and configure it with the necessary settings, such as the IP address range and routing options.
Create a VPN gateway on the on-premises network and configure it with the necessary settings, such as the IP address range and routing options.
Create a VPN tunnel between the GCP VPN gateway and the on-premises VPN gateway.
Configure the routing options for the VPN tunnel to direct the traffic between the on-premises network and GCP.
Test the VPN tunnel to ensure that it is working correctly.

Cloud Interconnect:

Create a Cloud Interconnect attachment on GCP and configure it with the necessary settings, such as the VLAN ID and the IP address range.
Create a VLAN on the on-premises network and configure it with the necessary settings, such as the VLAN ID and the IP address range.
Establish a physical connection between the on-premises network and GCP using a supported provider.
Configure the routing options for the VLAN to direct the traffic between the on-premises network and GCP.
Test the connection to ensure that it is working correctly.

Both Cloud VPN and Cloud Interconnect provide a secure and reliable communication channel between the on-premises and cloud networks, allowing resources to access each other as if they were on the same network. Cloud VPN uses IPsec to encrypt the traffic, while Cloud Interconnect uses VLANs to connect to GCP.

It’s important to keep in mind that the integration process may vary depending on the specific requirements and constraints of the organization, such as network architecture, security policies and compliance requirements. Also, it’s important to keep the network infrastructure and security configurations up to date and monitor the performance of the network regularly.

How do you use Cloud Router for setting up dynamic routing for VPC networks on Google Cloud Platform?

Using Cloud Router to set up dynamic routing for Virtual Private Cloud (VPC) networks on Google Cloud Platform (GCP) involves several steps:

Create a Cloud Router: Create a Cloud Router in the desired VPC network and configure it with the necessary settings, such as the router name and the region.
Create a routing table: Create a routing table and associate it with the Cloud Router. Specify the routes and the next hop for each route.
Create a BGP (Border Gateway Protocol) session: Create a BGP session between the Cloud Router and the on-premises router. This allows the Cloud Router to learn about the on-premises network’s routes and to share GCP’s routes with the on-premises network.
Configure the BGP session: Configure the BGP session with the appropriate settings, such as the ASN (Autonomous System Number) and the peer IP address.
Test the BGP session: Verify that the BGP session is working correctly by checking the BGP session status and by testing the connectivity between the on-premises network and GCP.
Configure dynamic routing: Configure dynamic routing by enabling the dynamic routing protocol, such as OSPF (Open Shortest Path First) or IS-IS (Intermediate System to Intermediate System) on the Cloud Router and the on-premises router.
Monitor and troubleshoot the routing: Regularly monitor the routing table, BGP sessions and any other related dynamic routing protocols to detect any issues and troubleshoot them.

By using Cloud Router, GCP can automatically update the routing table when it detects a change in the network topology and it can also learn routes from the on-premises network, allowing for efficient and automatic traffic routing. This can help improve network performance and reliability. It’s important to keep in mind that the setup process may vary depending on the specific requirements and constraints of the organization, such as network architecture, security policies and compliance requirements. Also, it’s important to keep the network infrastructure and security configurations up to date and monitor the performance of the network regularly.

How do you implement network troubleshooting and monitoring tools like Stackdriver and Cloud Trace on Google Cloud Platform?

Implementing network troubleshooting and monitoring tools like Stackdriver and Cloud Trace on Google Cloud Platform involves several steps:

Stackdriver:

Enable Stackdriver monitoring and logging for your GCP project.
Configure Stackdriver to collect and monitor data from the various components of your network infrastructure, such as firewall rules, VPNs, and load balancers.
Use Stackdriver to create custom dashboards, alerts, and charts to visualize the data and quickly identify any issues.
Use Stackdriver to troubleshoot network issues by analyzing network traffic and identifying the source of the problem.

Cloud Trace:

Enable Cloud Trace for your GCP project
Instrument your application code with the Cloud Trace SDK to collect trace data
Use Cloud Trace to analyze the performance of your application and identify bottlenecks
Use Cloud Trace to troubleshoot network issues by analyzing the trace data and identifying the source of the problem.

Configure monitoring and logging:

Configure monitoring and logging for your network resources, such as firewall rules, VPNs, and load balancers
Use Cloud Logging to collect and analyze log data from your network resources
Use Cloud Monitoring to create custom dashboards, alerts, and charts to visualize the data and quickly identify any issues.

Use the monitoring and logging data to troubleshoot issues:

Use the data from Stackdriver, Cloud Trace, and other monitoring and logging tools to troubleshoot issues with your network infrastructure.
Identify the source of the problem by analyzing the data and determine the necessary steps to resolve the issue.

It’s important to keep in mind that monitoring and logging is an ongoing process, it requires regular monitoring, review and updates to ensure that the network infrastructure is meeting the organization’s needs and can accommodate changes in traffic patterns and usage. Also, it’s important to have a solid incident response plan in place to quickly identify, analyze, and resolve any issues that arise.

Can you describe a time when you had to design and implement a hybrid network solution using Google Cloud Platform and other cloud providers?

A hybrid network solution involves connecting and integrating resources from different cloud providers, such as Google Cloud Platform and other providers like Amazon Web Services (AWS) or Microsoft Azure, to enable seamless communication and data exchange between the different environments.

One way to design and implement a hybrid network solution using Google Cloud Platform and other cloud providers is to use a virtual private network (VPN) or a dedicated network connection, such as an AWS Direct Connect or Azure ExpressRoute, to connect the different environments. This allows for secure communication between the environments and enables the use of features such as load balancing and traffic management.

Another approach is to use a multi-cloud management platform, such as Google Cloud Anthos, which can help to manage and orchestrate resources across multiple cloud environments.

It’s important to note that the specific design and implementation details may vary depending on the specific requirements and use cases of the hybrid network solution.

Basic Interview Questions

What is Google Cloud Platform?

Google Cloud Platform is a Google-developed cloud platform that allows users to access cloud systems and computer services. GCP provides a wide range of cloud computing services in the compute, database, storage, migration, and networking sectors. Google Cloud Platform (GCP) is a set of cloud computing services that run on the same infrastructure as Google’s end-user products, such as Google Search, Gmail, file storage, and YouTube.

What types of tools are available via the Google Cloud Platform?

Firstly, Compute.
Secondly, Networking.
Thirdly, Storage and Databases.
Fourthly, Artificial Intelligence (AI) / Machine Learning (ML)
Fifthly, Big Data.
Sixthly, Identity and Security.
Lastly, Management Tools

What is Cloud Computing?

Cloud computing is the on-demand, pay-as-you-go distribution of IT services over the Internet. Instead of purchasing, operating, and maintaining physical data centres and servers, you can rent computing power, storage, and databases from a cloud provider like Google on an as-needed basis. The cloud computing service is genuinely worldwide, with no regional or border limits.

Who is a Google Professional Cloud Network Engineer?

In Google Cloud Platform, a Google Professional Cloud Network Engineer implements and oversees network infrastructures.
One must have at least one year of expertise with Google Cloud Platform and may work on networking or cloud teams with infrastructure architects.
This individual enables successful cloud deployments utilising the command line interface or the Google Cloud Platform Console by leveraging experience implementing VPCs, hybrid connection, network services, and security for established network architectures.

What is the purpose of using HA configuration?

When a zone or instance goes unavailable, the goal of a HA configuration is to minimise downtime. This could happen as a result of a zone outage or a compromised instance. Client applications can still access your data using HA.

What is Cloud Interconnect, and how is it different from Cloud VPN?

Cloud Interconnect is a service provided by Google Cloud Platform that enables you to establish a dedicated, private connection between your on-premises network and your virtual private cloud (VPC) in Google Cloud Platform. This connection is established using a physical, direct connection to Google’s network, and provides higher reliability and lower latency compared to a public internet connection.

On the other hand, Cloud VPN is a service provided by Google Cloud Platform that enables you to securely connect your on-premises network to your VPC over a public internet connection. Cloud VPN uses encrypted tunnels to ensure the security of data transmitted between your on-premises network and your VPC.

The main difference between Cloud Interconnect and Cloud VPN is the method used to establish the connection between your on-premises network and your VPC. Cloud Interconnect uses a dedicated, private connection that is physically separate from the public internet, providing higher reliability and lower latency. Cloud VPN uses a public internet connection, which can be less reliable and may result in higher latency.

What is the use of Kubernetes?

Kubernetes allows you to declaratively define:

Firstly, how your applications are deployed
Secondly, how applications communicate with each other and with the Kubernetes control plane
Lastly, how clients can reach your applications.

How do you troubleshoot network issues in Google Cloud Platform?

Here are some steps that you can follow to troubleshoot network issues in Google Cloud Platform:

Verify the network configuration: Check the network configuration settings in the Google Cloud Console to ensure that they are correctly configured. Ensure that the VPC, subnet, firewall rules, and routes are set up correctly.
Check the logs: Check the logs for the affected resources, such as Compute Engine instances or Load Balancers, for any error messages or warnings related to network connectivity.
Check the connectivity: Use tools such as ping or traceroute to check the connectivity between the affected resources. If the connectivity is not working, check the firewall rules and routing tables to ensure that the traffic is allowed and directed to the correct destination.
Check the virtual machine instance: If the issue is related to a virtual machine instance, check the network interface settings, network stack, and software configuration.
Check the load balancer: If the issue is related to a load balancer, check the backend services, health checks, and target pool configurations.
Check the external connectivity: If the issue is related to external connectivity, check the NAT gateway, Cloud VPN, or Cloud Interconnect configuration.
Contact Google Cloud Support: If the above steps do not resolve the issue, you can contact Google Cloud Support for further assistance. Provide the error messages, logs, and any other relevant information to help them diagnose the issue.

What does IAM offers?

IAM allows you to offer granular access to specific Google Cloud resources while also preventing access to others. IAM enables you to use the least privilege security principle, which states that no one should have more access than they require.

What members are granted excess to IAM?

Google Account
Service account
Google group
Google Workspace domain
Cloud Identity domain
All authenticated users
All users

Give some commonly used Google Cloud services?

Computing and hosting
Storage
Databases
Networking
Big data
Machine learning

What is Alias IP ranges?

Google Cloud alias IP ranges allow you to alias a range of internal IP addresses to the network interfaces of a virtual machine (VM). If you have numerous services running on a VM and wish to give each one its own IP address, this is beneficial. GKE Pods can also use Alias IP ranges.

What are Routes?

Google Cloud routes define the paths that network traffic takes from a virtual machine (VM) instance to other destinations. These destinations can be inside your Google Cloud Virtual Private Cloud (VPC) network or outside it.

How do you monitor network traffic in Google Cloud Platform?

Google Cloud Platform provides several tools and services that you can use to monitor network traffic, including:

VPC Flow Logs: VPC Flow Logs provide network-level logging for VPCs. They capture metadata and network flow logs for packets that are sent or received by VM instances in the VPC. You can use VPC Flow Logs to monitor traffic patterns, troubleshoot network issues, and detect security threats.
Stackdriver Monitoring: Stackdriver Monitoring provides monitoring and alerting services for Google Cloud Platform resources, including network resources. You can use Stackdriver Monitoring to monitor network performance metrics, such as latency, packet loss, and throughput, and set up alerts for abnormal behavior.
Cloud Trace: Cloud Trace is a distributed tracing system that provides insights into the performance of applications running on Google Cloud Platform. It can help you identify network latency issues, diagnose performance bottlenecks, and optimize application performance.
Cloud Logging: Cloud Logging provides centralized logging for Google Cloud Platform resources, including network resources. You can use Cloud Logging to monitor and analyze network logs, including firewall logs, audit logs, and VPC flow logs.
Network Intelligence Center: The Network Intelligence Center provides a suite of network visibility tools that enable you to monitor, verify, and optimize network performance and connectivity. These tools include Network Topology, Connectivity Tests, Performance Dashboard, and Firewall Insights.

What are different Route types?

Subnet routes
Static routes
Dynamic routes
Peering subnet routes
Peering custom routes

How Partner interconnect connect on-premises network and your Virtual Private Cloud?

Through a supported service provider, Partner Interconnect connects your on-premises network to your Virtual Private Cloud (VPC) network. If your data centre is in a physical location that can’t reach a Dedicated Interconnect colocation site, or if your data needs don’t merit a full 10-Gbps connection, a Partner Interconnect link is a good option.

Give the full form of VPC?

VPC stands for Virtual Private Cloud.

Give some characteristics of VPC?

Each firewall rule applies to incoming or outgoing connection, not both.
Firewall rules only support IPv4 connections.
Each firewall rule’s action is either allow or deny.
VPC firewall rules do not reassemble fragmented TCP packets.

Give an overview of Cloud NAT?

Cloud NAT provides outgoing connectivity for the following resources:

Compute Engine virtual machine instances without external IP addresses
Private Google Kubernetes Engine clusters
Cloud Run instances through Serverless VPC Access
Cloud Functions instances through Serverless VPC Access
App Engine standard environment instances through Serverless VPC Access

What is load balancing, and how does it work in Google Cloud Platform? What are some types of load balancing available in Google Cloud Platform?

Load balancing is a technique used to distribute network traffic across multiple servers or instances to ensure optimal resource utilization, reduce latency, and increase availability and scalability of applications. In Google Cloud Platform, load balancing is a managed service that automatically distributes incoming traffic across a group of backend resources, such as Compute Engine instances, Kubernetes Engine pods, or Cloud Functions.

The load balancing service works by receiving incoming traffic and routing it to the appropriate backend resource based on predefined load balancing rules and algorithms. The service continuously monitors the health of the backend resources and adjusts the traffic distribution accordingly. This enables the service to provide fault-tolerance and high availability for applications.

Google Cloud Platform provides several types of load balancing services, including:

HTTP(S) Load Balancing: This is a global, fully-managed load balancing service that distributes HTTP and HTTPS traffic across multiple backend resources. It supports auto-scaling, SSL offloading, and content-based routing, and provides built-in DDoS protection.
Network Load Balancing: This is a regional, fully-managed load balancing service that distributes TCP and UDP traffic across multiple backend resources. It supports direct server return, SSL pass-through, and session affinity, and provides high throughput and low latency.
Internal Load Balancing: This is a regional, fully-managed load balancing service that distributes traffic across multiple backend resources within a VPC network. It supports auto-scaling, session affinity, and SSL offloading, and provides private and secure communication between backend resources.
Cloud Armor: This is a global, fully-managed security service that protects your applications against DDoS attacks and other threats. It integrates with HTTP(S) Load Balancing and allows you to define and enforce security policies based on IP addresses, countries, and other criteria.

By using these load balancing services, you can distribute traffic across multiple backend resources, improve application performance, increase availability and scalability, and enhance security and resilience.

What is TCP Proxy Load Balancing?

TCP Proxy Load Balancing is a reverse proxy load balancer that distributes TCP traffic from the internet to your Google Cloud VPC network’s virtual machine instances. When employing TCP Proxy Load Balancing, traffic from a TCP connection is terminated at the load balancing layer and redirected to the nearest available backend via TCP or SSL.

What is External TCP/UDP Network Load Balancing?

External TCP/UDP Network Load Balancing on the Google Cloud is a regional, pass-through load balancer. TCP or UDP traffic is distributed among virtual machine (VM) instances in the same region using a network load balancer.

Give some characteristics of External TCP/UDP Network Load Balancing?

Firstly, Network Load Balancing is a managed service.
Secondly, Network Load Balancing is implemented by using Andromeda virtual networking and Google Maglev.
Thirdly, Load-balanced packets are received by backend VMs with their source IP unchanged.
Lastly, Load-balanced connections are terminated by the backend VMs.

Define External TCP/UDP Network Load Balancing?

External TCP/UDP Network Load Balancing on the Google Cloud is a regional, pass-through load balancer. TCP or UDP traffic is distributed among virtual machine instances in the same region using a network load balancer.

What is cache invalidation?

After an object has been cached, it usually stays there until it expires or is evicted to make place for new material. Standard HTTP headers are used to control the expiration time. It’s possible that you’ll wish to delete an object from the cache before it expires. Furthermore, before requesting cache invalidation, double-check that the origin server is returning the right material. Otherwise, when Cloud CDN requests the page again, the wrong content may be cached.

Does Cloud DNS support migration of an existing DNS domain?

Yes, migration of an existing DNS domain from another DNS provider to Cloud DNS is possible. This technique explains how to create a managed zone for your domain, import your existing DNS settings, and change the name server records at your registrar.

What is Cloud DNS, and how do you use it in Google Cloud Platform?

Cloud DNS is a managed, authoritative domain name system (DNS) service provided by Google Cloud Platform. It enables you to manage DNS zones and records for your domain names, including IP addresses, MX records, and other DNS resource records.

To use Cloud DNS in Google Cloud Platform, you need to follow these steps:

Create a DNS zone: In the Google Cloud Console, create a DNS zone for your domain name. Specify the domain name and the name servers for the zone.
Add DNS records: Add DNS resource records to your zone, such as A, AAAA, CNAME, MX, and TXT records. These records map domain names to IP addresses or other DNS resources.
Configure DNS forwarding: If you have multiple DNS zones or want to forward requests to another DNS resolver, you can configure DNS forwarding for your Cloud DNS zone.
Integrate with other Google Cloud services: Cloud DNS can be integrated with other Google Cloud services, such as Compute Engine, App Engine, Cloud Load Balancing, and Cloud VPN, to provide DNS resolution and load balancing services.
Manage DNS security: Cloud DNS supports DNSSEC (Domain Name System Security Extensions) to provide authentication and integrity protection for your DNS zones and records.

Cloud DNS is a highly available and scalable DNS service that provides low latency and high performance for your DNS queries. It is also easy to use and integrates with other Google Cloud services, making it a convenient and reliable option for managing DNS zones and records in Google Cloud Platform.

How to check Backends?

Google Cloud provides health checking mechanisms that determine if backends, such as for instance groups and zonal network endpoint groups (NEGs), properly respond to traffic.

What is Cloud monitoring?

Cloud Monitoring gathers data from Google Cloud, Amazon Web Services (AWS), hosted uptime probes, and application instrumentation to create metrics, events, and metadata. The operations suite from Google Cloud ingests that data and generates insights through dashboards, charts, and alarms. BindPlane is provided free of charge as part of your Google Cloud project.

What are the 5 steps to better GCP network performance?

Know your tools
Put instances in the right zones
Choose the right core-count for your networking needs
Use internal over external IPs
Rightsize your TCP window

What is Load balancing?

Google Cloud offers server-side load balancing so you can distribute incoming traffic across multiple virtual machine (VM) instances. Load balancing provides the following benefits:

Scale your app
Support heavy traffic
Detect and automatically remove unhealthy VM instances using health checks. Instances that become healthy again are automatically re-added.
Route traffic to the closest virtual machine

What is Auto scaling?

Auto-scaling in Compute Engine allows you to add or delete VM instances from a managed instance group based on changes in load. Autoscaling allows your apps to gracefully handle traffic increases while also lowering costs when resource usage is low.

Google Professional Cloud Network Engineer Practice test