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Google Associate Cloud Engineer Exam
- Topic 1: Setting up a cloud solution environment: This topic discusses setting up cloud projects and accounts. It also discusses management of billing configuration. Moreover, the questions about installing and configuring the command line interface (CLI) also appear.
- Topic 2: Planning and configuring a cloud solution: The topic is all about planning Google Cloud product use, compute resources, data storage options, and network resources.
- Topic 3: Deploying and implementing a cloud solution: In this topic questions about Compute Engine resources, Google Kubernetes Engine resources, Cloud Run and Cloud Functions resources. It also delves into data solutions, networking resources, Cloud Marketplace, and implementing resources via infrastructure as code.
- Topic 4: Ensuring successful operation of a cloud solution: Questions about monitoring and logging appear. It also focuses on networking resources, storage and database solutions, Cloud Run resources, and managing Google Kubernetes Engine resources.
- Topic 5: Configuring access and security: Identity and Access Management (IAM), service accounts, and audit logs are focal points of this topic.
Free Google Google Associate Cloud Engineer Exam Actual Questions
The questions for Google Associate Cloud Engineer were last updated On Apr. 19, 2024
Your team has developed a stateless application which requires it to be run directly on virtual machines. The application is expected to receive a fluctuating amount of traffic and needs to scale automatically. You need to deploy the application. What should you do?
A managed instance group (MIG) is a group of identical virtual machines (VMs) that you can manage as a single entity. You can use a MIG to deploy and maintain a stateless application that runs directly on VMs. A MIG can automatically scale the number of VMs based on the load or a schedule. A MIG can also automatically heal the VMs if they become unhealthy or unavailable. A MIG is suitable for applications that need to run on VMs rather than containers or serverless platforms.
B is incorrect because Kubernetes Engine is a managed service for running containerized applications on a cluster of nodes. It is not necessary to use Kubernetes Engine if the application does not use containers and can run directly on VMs.
C is incorrect because Cloud Functions is a serverless platform for running event-driven code in response to triggers. It is not suitable for applications that need to run continuously and handle HTTP requests.
D is incorrect because Cloud Run is a serverless platform for running stateless containerized applications. It is not suitable for applications that do not use containers and can run directly on VMs.
You need to migrate invoice documents stored on-premises to Cloud Storage. The documents have the following storage requirements:
* Documents must be kept for five years.
* Up to five revisions of the same invoice document must be stored, to allow for corrections.
* Documents older than 365 days should be moved to lower cost storage tiers.
You want to follow Google-recommended practices to minimize your operational and development costs. What should you do?
Your customer wants you to create a secure website with autoscaling based on the compute instance CPU load. You want to enhance performance by storing static content in Cloud Storage. Which resources are needed to distribute the user traffic?
An external HTTP(S) load balancer is a Google-recommended solution for distributing web traffic across multiple regions and zones, and providing high availability, scalability, and security for web applications. It supports both IPv4 and IPv6 addresses, and can handle SSL/TLS termination and encryption. It also integrates with Cloud CDN, Cloud Armor, and Cloud Identity-Aware Proxy for enhanced performance and protection. A managed instance group (MIG) can be used as a backend service for the HTTP(S) load balancer, and can automatically scale the number of VM instances based on the CPU load. A Cloud Storage bucket can also be used as a backend service for the HTTP(S) load balancer, and can serve static content such as images, videos, or HTML files. A URL map can be used to route requests to different backend services based on the path or host of the request. For example, a URL map can send requests for/static/*to the Cloud Storage bucket, and requests for/dynamic/*to the MIG. A managed SSL certificate can be used to secure the connection between the clients and the load balancer, and can be automatically provisioned and renewed by Google.
A is incorrect because an internal HTTP(S) load balancer is only visible within a VPC network, and not to the public internet. It is used for internal applications that need to communicate with other internal services. Identity-Aware Proxy is a service that provides secure access to web applications without using a VPN. It is not a load balancer, and it does not distribute user traffic.
B is incorrect because installing HTTPS certificates on the instance is not necessary, as the HTTP(S) load balancer can handle SSL/TLS termination and encryption. It is also more complex and less secure to manage the certificates on the instance level, as they need to be updated and synchronized across multiple instances.
D is incorrect because an external network load balancer is a TCP/UDP load balancer that operates at the network layer. It is not suitable for web applications that use HTTP(S) protocols, as it does not support SSL/TLS termination and encryption, URL maps, or Cloud Storage backends. It is also less efficient and scalable to forward the requests to the Cloud Storage from the web servers, as it adds an extra hop and latency.
HTTP(S) Load Balancing documentation
Setting up HTTP(S) Load Balancing with Cloud Storage
You need to deploy an application in Google Cloud using savorless technology. You want to test a new version of the application with a small percentage of production traffic. What should you do?
You want to host your video encoding software on Compute Engine. Your user base is growing rapidly, and users need to be able 3 to encode their videos at any time without interruption or CPU limitations. You must ensure that your encoding solution is highly available, and you want to follow Google-recommended practices to automate operations. What should you do?
Instance groups are collections of virtual machine (VM) instances that you can manage as a single entity. Instance groups can help you simplify the management of multiple instances, reduce operational costs, and improve the availability and performance of your applications. Instance groups support autoscaling, which automatically adds or removes instances from the group based on increases or decreases in load. Autoscaling helps your applications gracefully handle increases in traffic and reduces cost when the need for resources is lower. You can set the autoscaling policy based on CPU utilization, load balancing capacity, Cloud Monitoring metrics, or a queue-based workload. In this case, since the video encoding software is CPU-intensive, setting the autoscaling based on CPU utilization is the best option to ensure high availability and optimal performance.Reference:
Autoscaling groups of instances
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