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

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Question # 9

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?

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.

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Question # 10

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?

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.

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Question # 11

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.)

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.

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Question # 12

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.)

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.

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Question # 13

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?

A.

Cloud Bigtable

B.

Cloud Spanner

C.

BigQuery

D.

Cloud Datastore

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Question # 14

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?

A.

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

B.

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

C.

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

D.

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

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Question # 15

You need to upgrade the EHR connection to comply with their requirements. The new connection design must support business-critical needs and meet the same network and security policy requirements. What should you do?

A.

Add a new Dedicated Interconnect connection.

B.

Upgrade the bandwidth on the Dedicated Interconnect connection to 100 G.

C.

Add three new Cloud VPN connections.

D.

Add a new Carrier Peering connection.

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Question # 16

Mountkirk Games wants you to secure the connectivity from the new gaming application platform to Google

Cloud. You want to streamline the process and follow Google-recommended practices. What should you do?

A.

Configure Workload Identity and service accounts to be used by the application platform.

B.

Use Kubernetes Secrets, which are obfuscated by default. Configure these Secrets to be used by the

application platform.

C.

Configure Kubernetes Secrets to store the secret, enable Application-Layer Secrets Encryption, and use

Cloud Key Management Service (Cloud KMS) to manage the encryption keys. Configure these Secrets to

be used by the application platform.

D.

Configure HashiCorp Vault on Compute Engine, and use customer managed encryption keys and Cloud

Key Management Service (Cloud KMS) to manage the encryption keys. Configure these Secrets to be used

by the application platform.

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