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Google Professional-Cloud-Architect - Google Certified Professional - Cloud Architect (GCP)

Your company runs several databases on a single MySQL instance. They need to take backups of a specific database at regular intervals. The backup activity needs to complete as quickly as possible and cannot be allowed to impact disk performance. How should you configure the storage?

A.

Configure a cron job to use the gcloud tool to take regular backups using persistent disk snapshots.

B.

Mount a Local SSD volume as the backup location. After the backup is complete, use gsutil to move the backup to Google Cloud Storage.

C.

Use gcsfuse to mount a Google Cloud Storage bucket as a volume directly on the instance and write backups to the mounted location using mysqldump

D.

Mount additional persistent disk volumes onto each virtual machine (VM) instance in a RAID10 array and use LVM to create snapshots to send to Cloud Storage.

Your company is developing a web-based application. You need to make sure that production deployments are linked to source code commits and are fully auditable. What should you do?

A.

Make sure a developer is tagging the code commit with the date and time of commit

B.

Make sure a developer is adding a comment to the commit that links to the deployment.

C.

Make the container tag match the source code commit hash.

D.

Make sure the developer is tagging the commits with :latest

The database administration team has asked you to help them improve the performance of their new database server running on Google Compute Engine. The database is for importing and normalizing their performance statistics and is built with MySQL running on Debian Linux. They have an n1-standard-8 virtual machine with 80 GB of SSD persistent disk. What should they change to get better performance from this system?

A.

Increase the virtual machine's memory to 64 GB.

B.

Create a new virtual machine running PostgreSQL.

C.

Dynamically resize the SSD persistent disk to 500 GB.

D.

Migrate their performance metrics warehouse to BigQuery.

E.

Modify all of their batch jobs to use bulk inserts into the database.

You are developing a globally scaled frontend for a legacy streaming backend data API. This API expects

events in strict chronological order with no repeat data for proper processing.

Which products should you deploy to ensure guaranteed-once FIFO (first-in, first-out) delivery of data?

A.

Cloud Pub/Sub alone

B.

Cloud Pub/Sub to Cloud DataFlow

C.

Cloud Pub/Sub to Stackdriver

D.

Cloud Pub/Sub to Cloud SQL

You need to set up Microsoft SQL Server on GCP. Management requires that there’s no downtime in case of a data center outage in any of the zones within a GCP region. What should you do?

A.

Configure a Cloud SQL instance with high availability enabled.

B.

Configure a Cloud Spanner instance with a regional instance configuration.

C.

Set up SQL Server on Compute Engine, using Always On Availability Groups using Windows Failover

Clustering. Place nodes in different subnets.

D.

Set up SQL Server Always On Availability Groups using Windows Failover Clustering. Place nodes in different zones.

For this question, refer to the Dress4Win case study. Which of the compute services should be migrated as –is and would still be an optimized architecture for performance in the cloud?

A.

Web applications deployed using App Engine standard environment

B.

RabbitMQ deployed using an unmanaged instance group

C.

Hadoop/Spark deployed using Cloud Dataproc Regional in High Availability mode

D.

Jenkins, monitoring, bastion hosts, security scanners services deployed on custom machine types

For this question, refer to the Dress4Win case study. You want to ensure that your on-premises architecture meets business requirements before you migrate your solution.

What change in the on-premises architecture should you make?

A.

Replace RabbitMQ with Google Pub/Sub.

B.

Downgrade MySQL to v5.7, which is supported by Cloud SQL for MySQL.

C.

Resize compute resources to match predefined Compute Engine machine types.

D.

Containerize the micro services and host them in Google Kubernetes Engine.

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?

A.

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

B.

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

C.

Migrate 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.

D.

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

For this question, refer to the Dress4Win case study. Dress4Win is expected to grow to 10 times its size in 1 year with a corresponding growth in data and traffic that mirrors the existing patterns of usage. The CIO has set the target of migrating production infrastructure to the cloud within the next 6 months. How will you configure the solution to scale for this growth without making major application changes and still maximize the ROI?

A.

Migrate the web application layer to App Engine, and MySQL to Cloud Datastore, and NAS to Cloud Storage. Deploy RabbitMQ, and deploy Hadoop servers using Deployment Manager.

B.

Migrate RabbitMQ to Cloud Pub/Sub, Hadoop to BigQuery, and NAS to Compute Engine with Persistent Disk storage. Deploy Tomcat, and deploy Nginx using Deployment Manager.

C.

Implement managed instance groups for Tomcat and Nginx. Migrate MySQL to Cloud SQL, RabbitMQ to Cloud Pub/Sub, Hadoop to Cloud Dataproc, and NAS to Compute Engine with Persistent Disk storage.

D.

Implement managed instance groups for the Tomcat and Nginx. Migrate MySQL to Cloud SQL, RabbitMQ to Cloud Pub/Sub, Hadoop to Cloud Dataproc, and NAS to Cloud Storage.

For this question, refer to the Dress4Win case study. To be legally compliant during an audit, Dress4Win must be able to give insights in all administrative actions that modify the configuration or metadata of resources on Google Cloud.

What should you do?

A.

Use Stackdriver Trace to create a trace list analysis.

B.

Use Stackdriver Monitoring to create a dashboard on the project’s activity.

C.

Enable Cloud Identity-Aware Proxy in all projects, and add the group of Administrators as a member.

D.

Use the Activity page in the GCP Console and Stackdriver Logging to provide the required insight.