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

Searching for workable clues to ace the Google Professional-Cloud-Architect Exam? You’re on the right place! ExamCert has realistic, trusted and authentic exam prep tools to help you achieve your desired credential. ExamCert’s Professional-Cloud-Architect PDF Study Guide, Testing Engine and Exam Dumps follow a reliable exam preparation strategy, providing you the most relevant and updated study material that is crafted in an easy to learn format of questions and answers. ExamCert’s study tools aim at simplifying all complex and confusing concepts of the exam and introduce you to the real exam scenario and practice it with the help of its testing engine and real exam dumps

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Question # 9

Your development teams release new versions of games running on Google Kubernetes Engine (GKE) daily.

You want to create service level indicators (SLIs) to evaluate the quality of the new versions from the user’s

perspective. What should you do?

A.

Create CPU Utilization and Request Latency as service level indicators.

B.

Create GKE CPU Utilization and Memory Utilization as service level indicators.

C.

Create Request Latency and Error Rate as service level indicators.

D.

Create Server Uptime and Error Rate as service level indicators.

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Question # 10

Your development team has created a mobile game app. You want to test the new mobile app on Android and

iOS devices with a variety of configurations. You need to ensure that testing is efficient and cost-effective. What

should you do?

A.

Upload your mobile app to the Firebase Test Lab, and test the mobile app on Android and iOS devices.

B.

Create Android and iOS VMs on Google Cloud, install the mobile app on the VMs, and test the mobile app.

C.

Create Android and iOS containers on Google Kubernetes Engine (GKE), install the mobile app on the

containers, and test the mobile app.

D.

Upload your mobile app with different configurations to Firebase Hosting and test each configuration.

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Question # 11

You are implementing Firestore for Mountkirk Games. Mountkirk Games wants to give a new game

programmatic access to a legacy game ' s Firestore database. Access should be as restricted as possible. What

should you do?

A.

Create a service account (SA) in the legacy game ' s Google Cloud project, add this SA in the new game ' s IAM page, and then give it the Firebase Admin role in both projects

B.

Create a service account (SA) in the legacy game ' s Google Cloud project, add a second SA in the new game ' s IAM page, and then give the Organization Admin role to both SAs

C.

Create a service account (SA) in the legacy game ' s Google Cloud project, give it the Firebase Admin role, and then migrate the new game to the legacy game ' s project.

D.

Create a service account (SA) in the lgacy game ' s Google Cloud project, give the SA the Organization Admin rule and then give it the Firebase Admin role in both projects

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Question # 12

Mountkirk Games wants to limit the physical location of resources to their operating Google Cloud regions.

What should you do?

A.

Configure an organizational policy which constrains where resources can be deployed.

B.

Configure IAM conditions to limit what resources can be configured.

C.

Configure the quotas for resources in the regions not being used to 0.

D.

Configure a custom alert in Cloud Monitoring so you can disable resources as they are created in other

regions.

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Question # 13

You need to implement a network ingress for a new game that meets the defined business and technical

requirements. Mountkirk Games wants each regional game instance to be located in multiple Google Cloud

regions. What should you do?

A.

Configure a global load balancer connected to a managed instance group running Compute Engine

instances.

B.

Configure kubemci with a global load balancer and Google Kubernetes Engine.

C.

Configure a global load balancer with Google Kubernetes Engine.

D.

Configure Ingress for Anthos with a global load balancer and Google Kubernetes Engine.

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Question # 14

For this question refer to the TerramEarth case study.

Which of TerramEarth ' s legacy enterprise processes will experience significant change as a result of increased Google Cloud Platform adoption.

A.

Opex/capex allocation, LAN changes, capacity planning

B.

Capacity planning, TCO calculations, opex/capex allocation

C.

Capacity planning, utilization measurement, data center expansion

D.

Data Center expansion, TCO calculations, utilization measurement

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Question # 15

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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Question # 16

For this question, refer to the TerramEarth case study

You analyzed TerramEarth ' s business requirement to reduce downtime, and found that they can achieve a majority of time saving by reducing customers ' wait time for parts You decided to focus on reduction of the 3 weeks aggregate reporting time Which modifications to the company ' s processes should you recommend?

A.

Migrate from CSV to binary format, migrate from FTP to SFTP transport, and develop machine learning analysis of metrics.

B.

Migrate from FTP to streaming transport, migrate from CSV to binary format, and develop machine learning analysis of metrics.

C.

Increase fleet cellular connectivity to 80%, migrate from FTP to streaming transport, and develop machine learning analysis of metrics.

D.

Migrate from FTP to SFTP transport, develop machine learning analysis of metrics, and increase dealer local inventory by a fixed factor.

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