Google Professional Cloud Architect Exam Practice Test Instant Access

Question 1

You are running a cluster on Kubernetes Engine to serve a web application. Users are reporting that a specific part of the application is not responding anymore. You notice that all pods of your deployment keep restarting after 2 seconds. The application writes logs to standard output. You want to inspect the logs to find the cause of the issue. Which approach can you take?

AReview the Stackdriver logs for each Compute Engine instance that is serving as a node in the cluster.

BReview the Stackdriver logs for the specific Kubernetes Engine container that is serving the unresponsive part of the application.

CConnect to the cluster using gcloud credentials and connect to a container in one of the pods to read the logs.

DReview the Serial Port logs for each Compute Engine instance that is serving as a node in the cluster.

Answer : B

Question 2

Your company sends all Google Cloud logs to Cloud Logging. Your security team wants to monitor the logs. You want to ensure that the security team can react quickly if an anomaly such as an unwanted firewall change or server breach is detected. You want to follow Google-recommended practices. What should you do?

ASchedule a cron job with Cloud Scheduler. The scheduled job queries the logs every minute for the relevant events.

BExport logs to BigQuery, and trigger a query in BigQuery to process the log data for the relevant events.

CExport logs to a Pub/Sub topic, and trigger Cloud Function with the relevant log events.

DExport logs to a Cloud Storage bucket, and trigger Cloud Run with the relevant log events.

Answer : C

https://cloud.google.com/blog/products/management-tools/automate-your-response-to-a-cloud-logging-event

Question 3

Your company has an application deployed on Anthos clusters (formerly Anthos GKE) that is running multiple microservices. The cluster has both Anthos Service Mesh and Anthos Config Management configured. End users inform you that the application is responding very slowly. You want to identify the microservice that is causing the delay. What should you do?

AUse the Service Mesh visualization in the Cloud Console to inspect the telemetry between the microservices.

BUse Anthos Config Management to create a ClusterSelector selecting the relevant cluster. On the Google Cloud Console page for Google Kubernetes Engine, view the Workloads and filter on the cluster. Inspect the configurations of the filtered workloads.

CUse Anthos Config Management to create a namespaceSelector selecting the relevant cluster namespace. On the Google Cloud Console page for Google Kubernetes Engine, visit the workloads and filter on the namespace. Inspect the configurations of the filtered workloads.

DReinstall istio using the default istio profile in order to collect request latency. Evaluate the telemetry between the microservices in the Cloud Console.

Answer : A

The Anthos Service Mesh pages in the Google Cloud Console provide both summary and in-depth metrics, charts, and graphs that enable you to observe service behavior. You can monitor the overall health of your services, or drill down on a specific service to set a service level objective (SLO) or troubleshoot an issue. https://cloud.google.com/service-mesh/docs/observability/explore-dashboard

https://cloud.google.com/anthos/service-mesh

Question 4

For this question, refer to the JencoMart case study.

JencoMart wants to move their User Profiles database to Google Cloud Platform. Which Google Database should they use?

ACloud Spanner

BGoogle BigQuery

CGoogle Cloud SQL

DGoogle Cloud Datastore

Answer : D

https://cloud.google.com/datastore/docs/concepts/overview

Common workloads for Google Cloud Datastore:

User profiles

Product catalogs

Game state

https://cloud.google.com/datastore/docs/concepts/overview

Question 5

You have deployed an application on Anthos clusters (formerly Anthos GKE). According to the SRE practices at your company you need to be alerted if the request latency is above a certain threshold for a specified amount of time. What should you do?

AEnable the Cloud Trace API on your project and use Cloud Monitoring Alerts to send an alert based on the Cloud Trace metrics

BConfigure Anthos Config Management on your cluster and create a yaml file that defines the SLO and alerting policy you want to deploy in your cluster

CUse Cloud Profiler to follow up the request latency. Create a custom metric in Cloud Monitoring based on the results of Cloud Profiler, and create an Alerting Policy in case this metric exceeds the threshold

DInstall Anthos Service Mesh on your cluster. Use the Google Cloud Console to define a Service Level Objective (SLO)

Answer : D

https://cloud.google.com/service-mesh/docs/overview

https://cloud.google.com/service-mesh/docs/observability/slo-overview

Question 6

For this question, refer to the Dress4Win case study.

Dress4Win has configured a new uptime check with Google Stackdriver for several of their legacy services. The Stackdriver dashboard is not reporting the services as healthy. What should they do?

AInstall the Stackdriver agent on all of the legacy web servers.

BIn the Cloud Platform Console download the list of the uptime servers' IP addresses and create an inbound firewall rule

CConfigure their load balancer to pass through the User-Agent HTTP header when the value matches GoogleStackdriverMonitoring-UptimeChecks (https://cloud.google.com/monitoring)

DConfigure their legacy web servers to allow requests that contain user-Agent HTTP header when the value matches GoogleStackdriverMonitoring--- UptimeChecks (https://cloud.google.com/monitoring)

Answer : B

Question 7

You want to enable your running Google Kubernetes Engine cluster to scale as demand for your application changes.

What should you do?

AAdd additional nodes to your Kubernetes Engine cluster using the following command:gcloud container clusters resizeCLUSTER_Name -- -size 10

BAdd a tag to the instances in the cluster with the following command:gcloud compute instances add-tagsINSTANCE - -tags enable-autoscaling max-nodes-10

CUpdate the existing Kubernetes Engine cluster with the following command:gcloud alpha container clustersupdate mycluster - -enable-autoscaling - -min-nodes=1 - -max-nodes=10

DCreate a new Kubernetes Engine cluster with the following command:gcloud alpha container clusterscreate mycluster - -enable-autoscaling - -min-nodes=1 - -max-nodes=10and redeploy your application

Answer : C

https://cloud.google.com/kubernetes-engine/docs/concepts/cluster-autoscaler

To enable autoscaling for an existing node pool, run the following command:

gcloud container clusters update [CLUSTER_NAME] --enable-autoscaling \ --min-nodes 1 --max-nodes 10 --zone [COMPUTE_ZONE] --node-pool default-pool

Google Cloud Architect Professional Professional Cloud Architect Exam Practice Test