Google Professional Cloud Architect Exam Questions Instant Access

Question 1

You want to optimize the performance of an accurate, real-time, weather-charting application. The data comes from 50,000 sensors sending 10 readings a second, in the format of a timestamp and sensor reading. Where should you store the data?

AGoogle BigQuery

BGoogle Cloud SQL

CGoogle Cloud Bigtable

DGoogle Cloud Storage

Answer : C

It is time-series data, So Big Table.

https://cloud.google.com/bigtable/docs/schema-design-time-series

Google Cloud Bigtable is a scalable, fully-managed NoSQL wide-column database that is suitable for both real-time access and analytics workloads.

Good for:

Low-latency read/write access

High-throughput analytics

Native time series support

Common workloads:

IoT, finance, adtech

Personalization, recommendations

Monitoring

Geospatial datasets

Graphs

Question 2

For this question, refer to the Helicopter Racing League (HRL) case study. HRL is looking for a cost-effective

approach for storing their race data such as telemetry. They want to keep all historical records, train models

using only the previous season's data, and plan for data growth in terms of volume and information collected.

You need to propose a data solution. Considering HRL business requirements and the goals expressed by

CEO S. Hawke, what should you do?

AUse Firestore for its scalable and flexible document-based database. Use collections to aggregate race data
by season and event.

BUse Cloud Spanner for its scalability and ability to version schemas with zero downtime. Split race data
using season as a primary key.

CUse BigQuery for its scalability and ability to add columns to a schema. Partition race data based on
season.

DUse Cloud SQL for its ability to automatically manage storage increases and compatibility with MySQL. Use
separate database instances for each season.

Answer : C

Question 3

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 4

For this question, refer to the TerramEarth case study. You are asked to design a new architecture for the

ingestion of the data of the 200,000 vehicles that are connected to a cellular network. You want to follow

Google-recommended practices.

Considering the technical requirements, which components should you use for the ingestion of the data?

AGoogle Kubernetes Engine with an SSL Ingress

BCloud IoT Core with public/private key pairs

CCompute Engine with project-wide SSH keys

DCompute Engine with specific SSH keys

Answer : A

https://cloud.google.com/solutions/iot-overview

https://cloud.google.com/iot/quotas

Question 5

For this question, refer to the Dress4Win case study. Considering the given business requirements, how would you automate the deployment of web and transactional data layers?

ADeploy Nginx and Tomcat using Cloud Deployment Manager to Compute Engine. Deploy a Cloud SQL server to replace MySQL. Deploy Jenkins using Cloud Deployment Manager.

BDeploy Nginx and Tomcat using Cloud Launcher. Deploy a MySQL server using Cloud Launcher. Deploy Jenkins to Compute Engine using Cloud Deployment Manager scripts.

CMigrate Nginx and Tomcat to App Engine. Deploy a Cloud Datastore server to replace the MySQL server in a high-availability configuration. Deploy Jenkins to Compute Engine using Cloud Launcher.

DMigrate Nginx and Tomcat to App Engine. Deploy a MySQL server using Cloud Launcher. Deploy Jenkins to Compute Engine using Cloud Launcher.

Answer : A

Question 6

You are migrating your on-premises solution to Google Cloud in several phases. You will use Cloud VPN to maintain a connection between your on-premises systems and Google Cloud until the migration is completed.

You want to make sure all your on-premises systems remain reachable during this period. How should you organize your networking in Google Cloud?

AUse the same IP range on Google Cloud as you use on-premises

BUse the same IP range on Google Cloud as you use on-premises for your primary IP range and use a
secondary range that does not overlap with the range you use on-premises

CUse an IP range on Google Cloud that does not overlap with the range you use on-premises

DUse an IP range on Google Cloud that does not overlap with the range you use on-premises for your
primary IP range and use a secondary range with the same IP range as you use on-premises

Answer : C

Question 7

Your company is moving 75 TB of data into Google Cloud. You want to use Cloud Storage and follow Googlerecommended practices. What should you do?

AMove your data onto a Transfer Appliance. Use a Transfer Appliance Rehydrator to decrypt the data into Cloud Storage.

BMove your data onto a Transfer Appliance. Use Cloud Dataprep to decrypt the data into Cloud Storage.

CInstall gsutil on each server that contains data. Use resumable transfers to upload the data into Cloud Storage.

DInstall gsutil on each server containing data. Use streaming transfers to upload the data into Cloud
Storage.

Answer : A

https://cloud.google.com/transfer-appliance/docs/2.0/faq

Google Cloud Architect Professional Professional Cloud Architect Exam Questions