A news teed web service has the following code running on Google App Engine. During peak load, users report that they can see news articles they already viewed. What is the most likely cause of this problem?

• A.The session variable is local to just a single instance.
• B.The session variable is being overwritten in Cloud Datastore.
• C.The URL of the API needs to be modified to prevent caching.
• D.The HTTP Expires header needs to be set to -1 to stop caching.

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You need to ensure reliability for your application and operations by supporting reliable task scheduling for compute on GCP. Leveraging Google best practices, what should you do?

• A.Using the Cron service provided by App Engine, publish messages to a Cloud Pub/Sub topic. Subscribe to that topic using a message-processing utility service running on Compute Engine instances.
• B.Using the Cron service provided by Google Kubernetes Engine (GKE), publish messages directly to a message-processing utility service running on Compute Engine instances.
• C.Using the Cron service provided by App Engine, publishing messages directly to a message-processing utility service running on Compute Engine instances.
• D.Using the Cron service provided by GKE, publish messages to a Cloud Pub/Sub topic. Subscribe to that topic using a message-processing utility service running on Compute Engine instances.

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Your customer is moving an existing corporate application to Google Cloud Platform from an on-premises data center. The business owners require minimal user disruption. There are strict security team requirements for storing passwords. What authentication strategy should they use?

• A.Use G Suite Password Sync to replicate passwords into Google.
• B.Federate authentication via SAML 2.0 to the existing Identity Provider.
• C.Provision users in Google using the Google Cloud Directory Sync tool.
• D.Ask users to set their Google password to match their corporate password.

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Your team will start developing a new application using microservices architecture on Kubernetes Engine. As part of the development lifecycle, any code change that has been pushed to the remote develop branch on your GitHub repository should be built and tested automatically. When the build and test are successful, the relevant microservice will be deployed automatically in the development environment. You want to ensure that all code deployed in the development environment follows this process. What should you do?

• A.Have each developer install a pre-commit hook on their workstation that tests the code and builds the container when committing on the development branch.
  After a successful commit, have the developer deploy the newly built container image on the development cluster.
• B.Install a post-commit hook on the remote git repository that tests the code and builds the container when code is pushed to the development branch.
  After a successful commit, have the developer deploy the newly built container image on the development cluster.
• C.Create a Cloud Build trigger based on the development branch that tests the code, builds the container, and stores it in Container Registry.
  Create a deployment pipeline that watches for new images and deploys the new image on the development cluster. Ensure only the deployment tool has access to deploy new versions.
• D.Create a Cloud Build trigger based on the development branch to build a new container image and store it in Container Registry.
  Rely on Vulnerability Scanning to ensure the code tests succeed.
  As the final step of the Cloud Build process, deploy the new container image on the development cluster.
  Ensure only Cloud Build has access to deploy new versions.

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Your company just finished a rapid lift and shift to Google Compute Engine for your compute needs. You have another 9 months to design and deploy a more cloud-native solution.
Specifically, you want a system that is no-ops and auto-scaling. Which two compute products should you choose? Choose 2 answers

• A.Compute Engine with containers
• B.Google Container Engine with containers
• C.Google App Engine Standard Environment
• D.Compute Engine with custom instance types
• E.Compute Engine with managed instance groups

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