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You recently received a new Google Cloud project with an attached billing account where you will work. You need to create instances, set firewalls, and store data in Cloud Storage. You want to follow Google-recommended practices. What should you do?
Answer: B
B is correct, need to enable API first thing before you can use any services. Can be done using Google Console or using CLI.
Source: Adapted from community discussion — VijKall
Your application development team has created Docker images for an application that will be deployed on Google Cloud. Your team does not want to manage the infrastructure associated with this application. You need to ensure that the application can scale automatically as it gains popularity. What should you do?
Answer: D
D is the correct answer , as question says your team dont want to manage the infrastrucutre associated withthe application this is offered by the cloudrun
Source: Adapted from community discussion — Captain1212
You are migrating a business critical application from your local data center into Google Cloud. As part of your high-availability strategy, you want to ensure that any data used by the application will be immediately available if a zonal failure occurs. What should you do?
Answer: D
Answer is D. When your are using regional persistent disks, the data is automatically replicated to two replicas without the requirement of maintaining application replication. There is no need to use a snapshot.
Source: Adapted from community discussion — carlalap
The DevOps group in your organization needs full control of Compute Engine resources in your development project. However, they should not have permission to create or update any other resources in the project. You want to follow Google’s recommendations for setting permissions for the DevOps group. What should you do?
Answer: A
Answer is A. roles/viewer gives read only access on Project, so it does not create/update any resources. roles/compute.admin gives full access to Compute Engine resources.
Source: Adapted from community discussion — VijKall
Your team is running an on-premises ecommerce application. The application contains a complex set of microservices written in Python, and each microservice is running on Docker containers. Configurations are injected by using environment variables. You need to deploy your current application to a serverless Google Cloud cloud solution. What should you do?
Answer: A
I was wrong. The right answer is A. The current approach to loadi Docker images into Artifact Registry (formerly Container Registry), is by using CI/CD Pipelines.
Source: Adapted from community discussion — Cherrycardo
You are running multiple microservices in a Kubernetes Engine cluster. One microservice is rendering images. The microservice responsible for the image rendering requires a large amount of CPU time compared to the memory it requires. The other microservices are workloads that are optimized for n2-standard machine types. You need to optimize your cluster so that all workloads are using resources as efficiently as possible. What should you do?
Answer: B
You are working in a team that has developed a new application that needs to be deployed on Kubernetes. The production application is business critical and should be optimized for reliability. You need to provision a Kubernetes cluster and want to follow Google-recommended practices. What should you do?
Answer: B
You are responsible for a web application on Compute Engine. You want your support team to be notified automatically if users experience high latency for at least 5 minutes. You need a Google-recommended solution with no development cost. What should you do?
Answer: B
"No development cost" : BigQuery and GAE out "Automatically" : Option D out ("take necessary actions") Left with option B
Source: Adapted from community discussion — rahulrauki
You have a project for your App Engine application that serves a development environment. The required testing has succeeded and you want to create a new project to serve as your production environment. What should you do?
Answer: A
Correct is A. Option B is wrong as the option to use gcloud app cp does not exist. Option C is wrong as Deployment Manager does not copy the application, but allows you to specify all the resources needed for your application in a declarative format using yaml Option D is wrong as gcloud app deploy would not create a new project. The project should be created before usage
Source: Adapted from community discussion — coldpar
You have an on-premises data analytics set of binaries that processes data files in memory for about 45 minutes every midnight. The sizes of those data files range from 1 gigabyte to 16 gigabytes. You want to migrate this application to Google Cloud with minimal effort and cost. What should you do?
Answer: D
Here's why option D is the most appropriate: ->Compute Engine: Compute Engine provides virtual machines (VMs) that closely resemble traditional on-premises servers. It allows you to migrate your existing application as-is to the Google Cloud platform. ->Instance Scheduling: You can schedule the VM instance to start and stop at specific times, such as midnight, to align with your existing processing schedule. This ensures that the application runs at the required time, similar to the on-premises setup. ->Minimal Effort and Cost: The "lift and shift" approach minimizes the need for code modifications or containerization, reducing migration complexity. It also allows you to use the same binaries and configurations as your on-premises setup, saving development effort. You only pay for the VM's compute resources when it's running, making it cost-effective.
Source: Adapted from community discussion — taylz876
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