A team of data scientists infrequently needs to use a Google Kubernetes Engine (GKE) cluster that you manage. They require GPUs for some long-running, non-restartable jobs. You want to minimize cost. What should you do?

1. A. Enable node auto-provisioning on the GKE cluster.
2. B. Create a VerticalPodAutscaler for those workloads.
3. C. Create a node pool with preemptible VMs and GPUs attached to those VMs.
4. D. Create a node pool of instances with GPUs, and enable autoscaling on this node pool with a minimum size of 1.

Correct Answer: A
auto-provisioning = Attaches and deletes node pools to cluster based on the requirements. Hence creating a GPU node pool, and auto-scaling would be better
https://cloud.google.com/kubernetes-engine/docs/how-to/node-auto-provisioning

You are using Deployment Manager to create a Google Kubernetes Engine cluster. Using the same Deployment Manager deployment, you also want to create a DaemonSet in the kube-system namespace of the cluster. You want a solution that uses the fewest possible services. What should you do?

1. A. Add the cluster’s API as a new Type Provider in Deployment Manager, and use the new type to create the DaemonSet.
2. B. Use the Deployment Manager Runtime Configurator to create a new Config resource that contains the DaemonSet definition.
3. C. With Deployment Manager, create a Compute Engine instance with a startup script that uses kubectl to create the DaemonSet.
4. D. In the cluster’s definition in Deployment Manager, add a metadata that has kube-system as key and the DaemonSet manifest as value.

Correct Answer: A
Adding an API as a type provider
This page describes how to add an API to Google Cloud Deployment Manager as a type provider. To learn more about types and type providers, read the Types overview documentation.
A type provider exposes all of the resources of a third-party API to Deployment Manager as base types that you can use in your configurations. These types must be directly served by a RESTful API that supports Create, Read, Update, and Delete (CRUD).
If you want to use an API that is not automatically provided by Google with Deployment Manager, you must add the API as a type provider.
https://cloud.google.com/deployment-manager/docs/configuration/type-providers/creating-type-provider

You have a Compute Engine instance hosting a production application. You want to receive an email if the instance consumes more than 90% of its CPU resources for more than 15 minutes. You want to use Google services. What should you do?

1. A. * 1. Create a consumer Gmail account.* 2. Write a script that monitors the CPU usage.* 3. When the CPU usage exceeds the threshold, have that script send an email using the Gmail account and smtp.gmail.com on port 25 as SMTP server.
2. B. * 1. Create a Stackdriver Workspace, and associate your Google Cloud Platform (GCP) project with it.* 2.Create an Alerting Policy in Stackdriver that uses the threshold as a trigger conditio
3. C. 3.Configure your email address in the notification channel.
4. D. * 1. Create a Stackdriver Workspace, and associate your GCP project with it.* 2. Write a script that monitors the CPU usage and sends it as a custom metric to Stackdrive
5. E. 3.Create an uptime check for the instance in Stackdriver.
6. F. * 1. In Stackdriver Logging, create a logs-based metric to extract the CPU usage by using this regular expression: CPU Usage: ([0-9] {1,3}) %* 2. In Stackdriver Monitoring, create an Alerting Policy based on this metri
7. G. 3.Configure your email address in the notification channel.

Correct Answer: B
Specifying conditions for alerting policies This page describes how to specify conditions for alerting policies. The conditions for an alerting policy define what is monitored and when to trigger an alert. For example, suppose you want to define an alerting policy that emails you if the CPU utilization of a Compute Engine VM instance is above 80% for more than 3 minutes. You use the conditions dialog to specify that you want to monitor the CPU utilization of a Compute Engine VM instance, and that you want an alerting policy to trigger when that utilization is above 80% for 3 minutes. https://cloud.google.com/monitoring/alerts/ui-conditions-ga
https://cloud.google.com/monitoring/alerts/using-alerting-ui https://cloud.google.com/monitoring/support/notification-options

You are running a web application on Cloud Run for a few hundred users. Some of your users complain that the initial web page of the application takes much longer to load than the following pages. You want to follow Google's recommendations to mitigate the issue. What should you do?

1. A. Update your web application to use the protocol HTTP/2 instead of HTTP/1.1
2. B. Set the concurrency number to 1 for your Cloud Run service.
3. C. Set the maximum number of instances for your Cloud Run service to 100.
4. D. Set the minimum number of instances for your Cloud Run service to 3.

Correct Answer: D

You have a large 5-TB AVRO file stored in a Cloud Storage bucket. Your analysts are proficient only in SQL and need access to the data stored in this file. You want to find a cost-effective way to complete their request as soon as possible. What should you do?

1. A. Load data in Cloud Datastore and run a SQL query against it.
2. B. Create a BigQuery table and load data in BigQuer
3. C. Run a SQL query on this table and drop this table after you complete your request.
4. D. Create external tables in BigQuery that point to Cloud Storage buckets and run a SQL query on these external tables to complete your request.
5. E. Create a Hadoop cluster and copy the AVRO file to NDFS by compressing i
6. F. Load the file in a hive table and provide access to your analysts so that they can run SQL queries.

Correct Answer: C
https://cloud.google.com/bigquery/external-data-sources
An external data source is a data source that you can query directly from BigQuery, even though the data is not stored in BigQuery storage.
BigQuery supports the following external data sources: Amazon S3
Azure Storage Cloud Bigtable Cloud Spanner Cloud SQL Cloud Storage
Drive