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Professional-Cloud-Architect Practice Questions

Google Certified Professional - Cloud Architect (GCP)

Last Update 3 days ago
Total Questions : 333

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Question # 41

For this question, refer to the Mountkirk Games case study. Which managed storage option meets Mountkirk’s technical requirement for storing game activity in a time series database service?

Options:

A.  

Cloud Bigtable

B.  

Cloud Spanner

C.  

BigQuery

D.  

Cloud Datastore

Discussion 0
Question # 42

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?

Options:

A.  

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

B.  

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

C.  

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

D.  

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

Discussion 0
Question # 43

For this question, refer to the Mountkirk Games case study. Mountkirk Games wants to migrate from their current analytics and statistics reporting model to one that meets their technical requirements on Google Cloud Platform.

Which two steps should be part of their migration plan? (Choose two.)

Options:

A.  

Evaluate the impact of migrating their current batch ETL code to Cloud Dataflow.

B.  

Write a schema migration plan to denormalize data for better performance in BigQuery.

C.  

Draw an architecture diagram that shows how to move from a single MySQL database to a MySQL cluster.

D.  

Load 10 TB of analytics data from a previous game into a Cloud SQL instance, and run test queries against the full dataset to confirm that they complete successfully.

E.  

Integrate Cloud Armor to defend against possible SQL injection attacks in analytics files uploaded to Cloud Storage.

Discussion 0
Question # 44

For this question, refer to the Mountkirk Games case study. Mountkirk Games wants to design their solution for the future in order to take advantage of cloud and technology improvements as they become available. Which two steps should they take? (Choose two.)

Options:

A.  

Store as much analytics and game activity data as financially feasible today so it can be used to train machine learning models to predict user behavior in the future.

B.  

Begin packaging their game backend artifacts in container images and running them on Kubernetes Engine to improve the availability to scale up or down based on game activity.

C.  

Set up a CI/CD pipeline using Jenkins and Spinnaker to automate canary deployments and improve development velocity.

D.  

Adopt a schema versioning tool to reduce downtime when adding new game features that require storing additional player data in the database.

E.  

Implement a weekly rolling maintenance process for the Linux virtual machines so they can apply critical kernel patches and package updates and reduce the risk of 0-day vulnerabilities.

Discussion 0
Question # 45

For this question, refer to the Mountkirk Games case study. Mountkirk Games wants you to design a way to test the analytics platform’s resilience to changes in mobile network latency. What should you do?

Options:

A.  

Deploy failure injection software to the game analytics platform that can inject additional latency to mobile client analytics traffic.

B.  

Build a test client that can be run from a mobile phone emulator on a Compute Engine virtual machine, and run multiple copies in Google Cloud Platform regions all over the world to generate realistic traffic.

C.  

Add the ability to introduce a random amount of delay before beginning to process analytics files uploaded from mobile devices.

D.  

Create an opt-in beta of the game that runs on players' mobile devices and collects response times from analytics endpoints running in Google Cloud Platform regions all over the world.

Discussion 0
Question # 46

For this question, refer to the Cymbal Retail case study. Cymbal wants you to connect their on-premises systems to Google Cloud while maintaining secure communication between their on-premises and cloud environments You want to follow Google's recommended approach to ensure the most secure and manageable solution. What should you do?

Options:

A.  

Use a bastion host to provide secure access lo Google Cloud resources from Cymbal's on-premises systems.

B.  

Configure a static VPN connection using SSH tunnels to connect the on-premises systems to Google Cloud

C.  

Configure a Cloud VPN gateway and establish a VPN tunnel Configure firewall rules to restrict access to specific resources and services based on IP addresses and ports.

D.  

Use Google Cloud's VPC peering to connect Cymbal's on-premises network to Google Cloud.

Discussion 0
Question # 47

For this question, refer to the Cymbal Retail case study. Cymbal wants to migrate its diverse database environment to Google Cloud while ensuring high availability and performance for online customers. The company also wants to efficiently store and access large product images These images typically stay In the catalog for more than 90 days and are accessed less and less frequently. You need to select the appropriate Google Cloud services for each database. You also need to design a storage solution for the product images that optimizes cost and performance What should you do?

Options:

A.  

Migrate all databases to Spanner for consistency, and use Cloud Storage Standard for image storage

B.  

Migrate all databases to self-managed instances on Compute Engino. and use a persistent disk for image storage.

C.  

Migrate MySQL and SQL Server to Spanner. Redis to Memorystore. and MongoDB to Firestore Use Cloud Storage Standard for image storage, and move

images to Cloud Storage Nearline storage when products become less popular.

D.  

Migrate MySQL to Cloud SQL. SQL Server to Cloud SQL. Redis to Memorystore. and MongoDB to Firestore. Use Cloud Storage Standard for image storage, and move images to Cloud Storage Coldline storage when products become less popular

Discussion 0
Question # 48

For this question, refer to the Helicopter Racing League (HRL) case study. HRL wants better prediction

accuracy from their ML prediction models. They want you to use Google’s AI Platform so HRL can understand

and interpret the predictions. What should you do?

Options:

A.  

Use Explainable AI.

B.  

Use Vision AI.

C.  

Use Google Cloud’s operations suite.

D.  

Use Jupyter Notebooks.

Discussion 0
Question # 49

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?

Options:

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.

Discussion 0
Question # 50

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?

Options:

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.

Discussion 0
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