A lead engineer wrote a custom tool that deploys virtual machines in the legacy data center. He wants to migrate the custom tool to the new cloud environment. You want to advocate for the adoption of Google Cloud Deployment Manager.
What are two business risks of migrating to Cloud Deployment Manager? (Choose two.)

• A.Cloud Deployment Manager uses Python
• B.Cloud Deployment Manager APIs could be deprecated in the future
• C.Cloud Deployment Manager is unfamiliar to the company's engineers
• D.Cloud Deployment Manager requires a Google APIs service account to run
• E.Cloud Deployment Manager can be used to permanently delete cloud resources
• F.Cloud Deployment Manager only supports automation of Google Cloud resources

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For this question, refer to the Mountkirk Games case study. Mountkirk Games wants you to design a way to test the analytics platform's resilience to changes in mobile network latency. What should you do?

• A.Build a test client that can be run from a mobile phone emulator on a Compute Engine virtual machine, and run multiple copies in Google Cloud Platform regions all over the world to generate realistic traffic.
• B.Deploy failure injection software to the game analytics platform that can inject additional latency to mobile client analytics traffic.
• C.Create an opt-in beta of the game that runs on players' mobile devices and collects response times from analytics endpoints running in Google Cloud Platform regions all over the world.
• D.Add the ability to introduce a random amount of delay before beginning to process analytics files uploaded from mobile devices.

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For this question, refer to the TerramEarth case study. You are asked to design a new architecture for the ingestion of the data of the 200,000 vehicles that are connected to a cellular network. You want to follow Google-recommended practices.
Considering the technical requirements, which components should you use for the ingestion of the data?

• A.Google Kubernetes Engine with an SSL Ingress
• B.Cloud IoT Core with public/private key pairs
• C.Compute Engine with project-wide SSH keys
• D.Compute Engine with specific SSH keys

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You are designing an application for use only during business hours. For the minimum viable product release, you'd like to use a managed product that automatically "scales to zero" so you don't incur costs when there is no activity.
Which primary compute resource should you choose?

• A.Cloud Functions
• B.Compute Engine
• C.Kubernetes Engine
• D.AppEngine flexible environment

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One of the developers on your team deployed their application In Google Container Engine with the Dockerfile below. They report that their application deployments are taking too long.

You want to optimize this Dockerfile for faster deployment times without adversely affecting the app's functionality. Which two actions should you take? Choose 2 answers

• A.Remove dependencies from requirements.txt.
• B.Use a slimmed-down base image like Alpine linux.
• C.Use larger machine types for your Google Container Engine node pools.
• D.Remove Python after running pip.
• E.Copy the source after the package dependencies (Python and pip) are installed.

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