Your organization has users and groups configured in an external identity provider (IdP). You want to leverage the same external IdP to allow Google Cloud console access to all employees.
You also want to personalize the sign-in experience by displaying the user's name and photo when users access the Google Cloud console. What should you do?

• A.Configure workforce identity federation with the external IdP, and set up attribute mapping.
• B.Configure a service account for each individual by using the user name and photo, and grant permissions for each user to impersonate their respective service accounts.
• C.Configure workload identity federation to get the external IdP tokens, and use these tokens to sign in to the Google Cloud console.
• D.Create a Google group that includes organization email IDs for all users. Ask users to use the same name, work email ID, and password to register and sign in.

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Your application is logging to Stackdriver. You want to get the count of all requests on all /api/alpha/* endpoints.
What should you do?

• A.Export the logs to Cloud Storage and count lines matching /api/alphA.
• B.Add a Stackdriver counter metric for endpoint:/api/alpha/*.
• C.Add a Stackdriver counter metric for path:/api/alpha/.
• D.Export the logs to Cloud Pub/Sub and count lines matching /api/alphA.

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You have an application that accepts inputs from users. The application needs to kick off different background tasks based on these inputs. You want to allow for automated asynchronous execution of these tasks as soon as input is submitted by the user. Which product should you use?

• A.Cloud Tasks
• B.Cloud Bigtable
• C.Cloud Pub/Sub
• D.Cloud Composer

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You want to migrate an on-premises container running in Knative to Google Cloud. You need to make sure that the migration doesn't affect your application's deployment strategy, and you want to use a fully managed service. Which Google Cloud service should you use to deploy your container?

• A.Cloud Run
• B.Compute Engine
• C.Google Kubernetes Engine
• D.App Engine flexible environment

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You are deploying a microservices application to Google Kubernetes Engine (GKE) that will broadcast livestreams. You expect unpredictable traffic patterns and large variations in the number of concurrent users.
Your application must meet the following requirements:
* Scales automatically during popular events and maintains high availability
* Is resilient in the event of hardware failures
How should you configure the deployment parameters? (Choose two.)

• A.Distribute your workload evenly using multiple zonal node pools.
• B.Create a managed instance group for Compute Engine with the cluster nodes. Configure autoscaling rules for the managed instance group.
• C.Distribute your workload evenly using a multi-zonal node pool.
• D.Create alerting policies in Cloud Monitoring based on GKE CPU and memory utilization. Ask an on-duty engineer to scale the workload by executing a script when CPU and memory usage exceed predefined thresholds.
• E.Use cluster autoscaler to resize the number of nodes in the node pool, and use a Horizontal Pod Autoscaler to scale the workload.

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