Google Professional Cloud Architect Exam Practice Test Instant Access

Question 1

The application reliability team at your company has added a debug feature to their backend service to send all server events to Google Cloud Storage for eventual analysis. The event records are at least 50 KB and at most 15 MB and are expected to peak at 3,000 events per second. You want to minimize data loss.

Which process should you implement?

A* Append metadata to file body.
* Compress individual files.
* Name files with serverName-Timestamp.
* Create a new bucket if bucket is older than 1 hour and save individual files to the new bucket. Otherwise, save files to existing bucket

B* Batch every 10,000 events with a single manifest file for metadata.
* Compress event files and manifest file into a single archive file.
* Name files using serverName-EventSequence.
* Create a new bucket if bucket is older than 1 day and save the single archive file to the new bucket. Otherwise, save the single archive file to existing bucket.

C* Compress individual files.
* Name files with serverName-EventSequence.
* Save files to one bucket
* Set custom metadata headers for each object after saving.

D* Append metadata to file body.
* Compress individual files.
* Name files with a random prefix pattern.
* Save files to one bucket

Answer : D

In order to maintain a high request rate, avoid using sequential names. Using completely random object names will give you the best load distribution. Randomness after a common prefix is effective under the prefix https://cloud.google.com/storage/docs/request-rate

Question 2

For this question, refer to the Mountkirk Games case study. You need to analyze and define the technical architecture for the database workloads for your company, Mountkirk Games. Considering the business and technical requirements, what should you do?

AUse Cloud SQL for time series data, and use Cloud Bigtable for historical data queries.

BUse Cloud SQL to replace MySQL, and use Cloud Spanner for historical data queries.

CUse Cloud Bigtable to replace MySQL, and use BigQuery for historical data queries.

DUse Cloud Bigtable for time series data, use Cloud Spanner for transactional data, and use BigQuery for historical data queries.

Answer : D

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

Question 3

You have deployed an application to Kubernetes Engine, and are using the Cloud SQL proxy container to

make the Cloud SQL database available to the services running on Kubernetes. You are notified that the

application is reporting database connection issues. Your company policies require a post-mortem. What should you do?

AUse gcloud sql instances restart.

BValidate that the Service Account used by the Cloud SQL proxy container still has the Cloud Build Editor role.

CIn the GCP Console, navigate to Stackdriver Logging. Consult logs for Kubernetes Engine and Cloud SQL.

DIn the GCP Console, navigate to Cloud SQL. Restore the latest backup. Use kubect1 to restart all pods.

Answer : C

Question 4

You are creating a solution to remove backup files older than 90 days from your backup Cloud Storage bucket. You want to optimize ongoing Cloud Storage spend. What should you do?

AWrite a lifecycle management rule in XML and push it to the bucket with gsutil.

BWrite a lifecycle management rule in JSON and push it to the bucket with gsutil.

CSchedule a cron script using gsutil is -lr gs://backups/** to find and remove items older than 90 days.

DSchedule a cron script using gsutil ls -1 gs://backups/** to find and remove items older than 90 days and schedule it with cron.

Answer : B

https://cloud.google.com/storage/docs/gsutil/commands/lifecycle

Question 5

You have a Python web application with many dependencies that requires 0.1 CPU cores and 128 MB of memory to operate in production. You want to monitor and maximize machine utilization. You also to reliably deploy new versions of the application. Which set of steps should you take?

APerform the following:
1) Create a managed instance group with f1-micro type machines.
2) Use a startup script to clone the repository, check out the production branch, install the dependencies, and start the Python app.
3) Restart the instances to automatically deploy new production releases.

BPerform the following:
1) Create a managed instance group with n1-standard-1 type machines.
2) Build a Compute Engine image from the production branch that contains all of the dependencies and
automatically starts the Python app.
3) Rebuild the Compute Engine image, and update the instance template to deploy new production
releases.

CPerform the following:
1) Create a Kubernetes Engine cluster with n1-standard-1 type machines.
2) Build a Docker image from the production branch with all of the dependencies, and tag it with the
3) Create a Kubernetes Deployment with the imagePullPolicy set to ''IfNotPresent'' in the staging
namespace, and then promote it to the production namespace after testing.

DPerform the following:
1) Create a Kubernetes Engine (GKE) cluster with n1-standard-4 type machines.
2) Build a Docker image from the master branch will all of the dependencies, and tag it with ''latest''.
3) Create a Kubernetes Deployment in the default namespace with the imagePullPolicy set to ''Always''.
Restart the pods to automatically deploy new production releases.

Answer : D

https://cloud.google.com/compute/docs/instance-templates

Question 6

For this question, refer to the JencoMart case study.

JencoMart has decided to migrate user profile storage to Google Cloud Datastore and the application servers to Google Compute Engine (GCE). During the migration, the existing infrastructure will need access to Datastore to upload the dat

a. What service account key-management strategy should you recommend?

AProvision service account keys for the on-premises infrastructure and for the GCE virtual machines (VMs).

BAuthenticate the on-premises infrastructure with a user account and provision service account keys for the VMs.

CProvision service account keys for the on-premises infrastructure and use Google Cloud Platform (GCP) managed keys for the VMs

DDeploy a custom authentication service on GCE/Google Container Engine (GKE) for the on-premises infrastructure and use GCP managed keys for the VMs.

Answer : A

https://cloud.google.com/iam/docs/understanding-service-accounts

Migrating data to Google Cloud Platform

Let's say that you have some data processing that happens on another cloud provider and you want to transfer the processed data to Google Cloud Platform. You can use a service account from the virtual machines on the external cloud to push the data to Google Cloud Platform. To do this, you must create and download a service account key when you create the service account and then use that key from the external process to call the Cloud Platform APIs.

https://cloud.google.com/iam/docs/understanding-service-accounts#migrating_data_to_google_cloud_platform

Question 7

You write a Python script to connect to Google BigQuery from a Google Compute Engine virtual machine. The script is printing errors that it cannot connect to BigQuery. What should you do to fix the script?

AInstall the latest BigQuery API client library for Python

BRun your script on a new virtual machine with the BigQuery access scope enabled

CCreate a new service account with BigQuery access and execute your script with that user

DInstall the bq component for gccloud with the command gcloud components install bq.

Answer : B

The error is most like caused by the access scope issue. When create new instance, you have the default Compute engine default service account but most serves access including BigQuery is not enable. Create an instance Most access are not enabled by default You have default service account but don't have the permission (scope) you can stop the instance, edit, change scope and restart it to enable the scope access. Of course, if you Run your script on a new virtual machine with the BigQuery access scope enabled, it also works

https://cloud.google.com/compute/docs/access/service-accounts

Google Cloud Architect Professional Professional Cloud Architect Exam Practice Test