Domain 2.2: Planning and configuring compute resources

You are designing a stateless, containerized web application that experiences unpredictable traffic spikes. You want a fully managed serverless environment that scales to zero when there is no traffic. Which compute service should you choose?

You have a batch processing workload that takes 2 hours to complete. The workload is fault-tolerant and can be interrupted and resumed without issues. You want to minimize compute costs. Which TWO configurations should you consider? (Select TWO)

You are deploying a legacy application that requires a specific older version of a Linux kernel and cannot run in a container. The application requires high disk I/O and will run 24/7 for the next 3 years. What is the MOST cost-effective compute strategy?

Your team has developed a stateless, containerized web application. Traffic is highly unpredictable, sometimes dropping to zero and other times spiking massively. You want to deploy this application with the least amount of operational overhead, paying only when the application is actively processing requests. Which compute service should you choose?

You are designing an architecture for a nightly batch processing job. The job takes about 3 hours to complete, processes data from Cloud Storage, and is highly fault-tolerant (if a node fails, the master node simply reassigns the task to another node). You need to minimize compute costs. Which TWO configurations should you include in your design? (Select TWO)

You need to deploy a legacy application on Compute Engine. The application has very specific hardware requirements: it needs exactly 6 vCPUs and 40 GB of RAM. None of the predefined machine types match this requirement exactly. What is the MOST cost-effective way to provision this instance?

Your development team has created a stateless, containerized web application that responds to HTTP requests. Traffic to the application is highly unpredictable, with long periods of zero traffic followed by sudden spikes. You want to deploy this application with the least amount of operational overhead and ensure you only pay when the application is actively processing requests. Which compute service should you choose?

You are designing an architecture for a batch processing job that analyzes large datasets. The job takes several hours to complete, but it is fault-tolerant and can resume from where it left off if interrupted. You need to minimize the compute costs for this workload. Which type of Compute Engine instance should you use?

You need to deploy a legacy application on Compute Engine. The application has strict licensing requirements and requires exactly 6 vCPUs and 45 GB of memory. None of the predefined machine types match this exact specification, and you want to avoid over-provisioning to save costs. Which TWO statements are true regarding creating a custom machine type for this requirement? (Select TWO)

You are designing an architecture for a batch processing job that renders video frames. The job can be paused and resumed without losing data. You want to process the frames as cheaply as possible. Which Compute Engine instance type should you choose?

Your development team has created a stateless, containerized microservice that handles webhooks. Traffic is highly unpredictable; it can spike to thousands of requests per second and then drop to zero for hours. The team wants a fully managed solution that scales to zero to minimize costs, and they do not want to manage underlying infrastructure. Which compute service is the BEST fit for this workload?

You are migrating a specialized database to Compute Engine. The database vendor requires exactly 6 vCPUs and 40 GB of RAM for optimal licensing and performance. Using a predefined machine type (like e2-standard-8) would result in over-provisioning and wasted licensing costs. Which TWO statements are true regarding the use of Custom Machine Types for this scenario? (Select TWO)

Your team has developed a stateless, containerized web application that processes HTTP requests. Traffic is highly unpredictable, and the application sometimes receives zero traffic for hours. You want a fully managed serverless environment that scales to zero to minimize costs. Which Google Cloud compute service should you choose?

You are designing an architecture for a batch processing job that analyzes large datasets. The job is highly fault-tolerant; if a node fails, the master node simply reassigns the task to another node. You need to provision 50 VMs for this job at the lowest possible cost. Which Compute Engine option should you choose?

You are migrating a legacy application to Compute Engine. The vendor specifies that the application requires exactly 6 vCPUs and 12 GB of RAM to maintain its license validity. None of the standard Google Cloud machine types match this exact specification. Which TWO actions should you take to deploy this VM? (Select TWO)

Your team has developed a stateless, containerized web application. Traffic to the application is highly unpredictable, with periods of zero traffic followed by sudden, massive spikes. You want to deploy this application with the least amount of operational overhead, and you only want to pay when the application is actively processing requests. Which compute service should you choose?

You are designing a batch processing architecture to render 3D video frames. The rendering jobs are fault-tolerant; if a job is interrupted, it can simply be restarted from the beginning without issues. The rendering process takes about 15 hours to complete in total, but individual frame jobs take only 10 minutes. You want to minimize compute costs. Which Compute Engine feature should you utilize?

You are migrating a legacy application to Compute Engine. The application has very specific hardware requirements: it needs exactly 6 vCPUs and 40 GB of RAM. None of the predefined machine types match this requirement closely, and choosing the next largest predefined type would result in wasted resources and higher costs. Which TWO actions should you take to deploy this application cost-effectively? (Select TWO)

Your development team has created a stateless, containerized web application. They want to deploy it to Google Cloud with the least amount of operational overhead. The application should automatically scale from zero to handle incoming HTTP requests and scale back to zero when there is no traffic to save costs. Which compute service should you choose?

You are designing an architecture for a batch processing workload that renders 3D animations. The rendering jobs take about 2 hours to complete. The workload is fault-tolerant; if a job is interrupted, it can simply be restarted from the beginning without data loss. You want to minimize compute costs. Which Compute Engine configuration is the MOST cost-effective for this workload?

You are migrating a legacy database to Compute Engine. The vendor documentation specifies that the software requires exactly 6 vCPUs and 40 GB of RAM for optimal performance. You want to avoid over-provisioning resources to save costs. Which TWO statements about configuring this VM are correct? (Select TWO)