Free Google Cloud Architect Professional-Cloud-Architect Exam Practice Test

As part of implementing their disaster recovery plan, your company is trying to replicate their productionMySQL database from their private data center to their GCP project using a Google Cloud VPN connection.They are experiencing latency issues and a small amount of packet loss that is disrupting the replication. What should they do?

• Configure their replication to use UDP.
• Configure a Google Cloud Dedicated Interconnect.
• Restore their database daily using Google Cloud SQL.
• Add additional VPN connections and load balance them.
• Send the replicated transaction to Google Cloud Pub/Sub.

Your company has a stateless web API that performs scientific calculations. The web API runs on a single Google Kubernetes Engine (GKE) cluster. The cluster is currently deployed in us-central1. Your company has expanded to offer your API to customers in Asia. You want to reduce the latency for the users in Asia. What should you do?

• Use a global HTTP(s) load balancer with Cloud CDN enabled
• Create a second GKE cluster in asia-southeast1, and expose both API's using a Service of type Load Balancer. Add the public Ips to the Cloud DNS zone
• Increase the memory and CPU allocated to the application in the cluster
• Create a second GKE cluster in asia-southeast1, and use kubemci to create a global HTTP(s) load balancer

For this question, refer to the TerramEarth case study. TerramEarth has decided to store data files in Cloud Storage. You need to configure Cloud Storage lifecycle rule to store 1 year of data and minimize file storage cost.Which two actions should you take?

• Create a Cloud Storage lifecycle rule with Age: ''30'', Storage Class: ''Standard'', and Action: ''Set to Coldline'', and create a second GCS life-cycle rule with Age: ''365'', Storage Class: ''Coldline'', and Action: ''Delete''.
• Create a Cloud Storage lifecycle rule with Age: ''30'', Storage Class: ''Coldline'', and Action: ''Set to Nearline'', and create a second GCS life-cycle rule with Age: ''91'', Storage Class: ''Coldline'', and Action: ''Set to Nearline''.
• Create a Cloud Storage lifecycle rule with Age: ''90'', Storage Class: ''Standard'', and Action: ''Set to Nearline'', and create a second GCS life-cycle rule with Age: ''91'', Storage Class: ''Nearline'', and Action: ''Set to Coldline''.
• Create a Cloud Storage lifecycle rule with Age: ''30'', Storage Class: ''Standard'', and Action: ''Set to Coldline'', and create a second GCS life-cycle rule with Age: ''365'', Storage Class: ''Nearline'', and Action: ''Delete''.

You want to make a copy of a production Linux virtual machine in the US-Central region. You want to manage and replace the copy easily if there are changes on the production virtual machine. You will deploy the copy as a new instances in a different project in the US-East region. What steps must you take?

• Use the Linux dd and netcat command to copy and stream the root disk contents to a new virtual machine instance in the US-East region.
• Create a snapshot of the root disk and select the snapshot as the root disk when you create a new virtual machine instance in the US-East region.
• Create an image file from the root disk with Linux dd command, create a new disk from the image file, and use it to create a new virtual machine instance in the US-East region
• Create a snapshot of the root disk, create an image file in Google Cloud Storage from the snapshot, and create a new virtual machine instance in the US-East region using the image file for the root disk.

You need to upload files from your on-premises environment to Cloud Storage. You want the files to beencrypted on Cloud Storage using customer-supplied encryption keys. What should you do?

• Supply the encryption key in a .boto configuration file. Use gsutil to upload the files.
• Supply the encryption key using gcloud config. Use gsutil to upload the files to that bucket.
• Use gsutil to upload the files, and use the flag --encryption-key to supply the encryption key.
• Use gsutil to create a bucket, and use the flag --encryption-key to supply the encryption key. Use gsutil to upload the files to that bucket.

A lead software engineer tells you that his new application design uses websockets and HTTP sessions that are not distributed across the web servers. You want to help him ensure his application will run property on Google Cloud Platform. What should you do?

• Help the engineer to convert his websocket code to use HTTP streaming.
• Review the encryption requirements for websocket connections with the security team.
• Meet with the cloud operations team and the engineer to discuss load balancer options.
• Help the engineer redesign the application to use a distributed user session service that does not rely on websockets and HTTP sessions.

You are monitoring Google Kubernetes Engine (GKE) clusters in a Cloud Monitoring workspace. As a Site Reliability Engineer (SRE), you need to triage incidents quickly. What should you do?

• Navigate the predefined dashboards in the Cloud Monitoring workspace, and then add metrics and create alert policies.
• Navigate the predefined dashboards in the Cloud Monitoring workspace, create custom metrics, and install alerting software on a Compute Engine instance.
• Write a shell script that gathers metrics from GKE nodes, publish these metrics to a Pub/Sub topic, export the data to BigQuery, and make a Data Studio dashboard.
• Create a custom dashboard in the Cloud Monitoring workspace for each incident, and then add metrics and create alert policies.

Your company wants you to build a highly reliable web application with a few public APIs as the backend. You don't expect a lot of user traffic, but traffic could spike occasionally. You want to leverage Cloud Load Balancing, and the solution must be cost-effective for users. What should you do?

• Store static content such as HTML and images in Cloud CDN. Host the APIs on App Engine and store the user data in Cloud SQL.
• Store static content such as HTML and images in a Cloud Storage bucket. Host the APIs on a zonal Google Kubernetes Engine cluster with worker nodes in multiple zones, and save the user data in Cloud Spanner.
• Store static content such as HTML and images in Cloud CDN. Use Cloud Run to host the APIs and save the user data in Cloud SQL.
• Store static content such as HTML and images in a Cloud Storage bucket. Use Cloud Functions to host the APIs and save the user data in Firestore.

Your web application uses Google Kubernetes Engine to manage several workloads. One workload requires a consistent set of hostnames even after pod scaling and relaunches.Which feature of Kubernetes should you use to accomplish this?

• StatefulSets
• Role-based access control
• Container environment variables
• Persistent Volumes

For this question, refer to the Mountkirk Games case study. You are in charge of the new Game Backend Platform architecture. The game communicates with the backend over a REST API.You want to follow Google-recommended practices. How should you design the backend?

• Create an instance template for the backend. For every region, deploy it on a multi-zone managed instance group. Use an L4 load balancer.
• Create an instance template for the backend. For every region, deploy it on a single-zone managed instance group. Use an L4 load balancer.
• Create an instance template for the backend. For every region, deploy it on a multi-zone managed instance group. Use an L7 load balancer.
• Create an instance template for the backend. For every region, deploy it on a single-zone managed instance group. Use an L7 load balancer.