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New Google Cloud Certified Professional-Cloud-Architect Exam Practice Questions

Total 275 Questions

Last Updated On: 20-Nov-2024

Question # 1

Your solution is producing performance bugs in production that you did not see in staging and test environments. You want to adjust your test and deployment procedures to avoid this problem in the future. What should you do?
A. Deploy fewer changes to production.
B. Deploy smaller changes to production.
C. Increase the load on your test and staging environments.
D. Deploy changes to a small subset of users before rolling out to production.

Deploy changes to a small subset of users before rolling out to production.

Question # 2

For this question, refer to the Mountkirk Games case study Mountkirk Games needs to create a repeatable and configurable mechanism for deploying isolated application environments. Developers and testers can access each other's environments and resources, but they cannot access staging or production resources. The staging environment needs access to some services from production. What should you do to isolate development environments from staging and production?
A. Create a project for development and test and another for staging and production.
B. Create a network for development and test and another for staging and production.
C. Create one subnetwork for development and another for staging and production.
D. Create one project for development, a second for staging and a third for production.

Create a project for development and test and another for staging and production.

Question # 3

Your company is using BigQuery as its enterprise data warehouse. Data is distributed over several Google Cloud projects. All queries on BigQuery need to be billed on a single project. You want to make sure that no query costs are incurred on the projects that contain the data. Users should be able to query the datasets, but not edit them. How should you configure users’ access roles?
A. Add all users to a group. Grant the group the role of BigQuery user on the billing project and BigQuery dataViewer on the projects that contain the data
B. Add all users to a group. Grant the group the roles of BigQuery dataViewer on the billing project and BigQuery user on the projects that contain the data.
C. Add all users to a group. Grant the group the roles of BigQuery jobUser on the billing project and BigQuery dataViewer on the projects that contain the data.
D. Add all users to a group. Grant the group the roles of BigQuery dataViewer on the billing project and BigQuery jobUser on the projects that contain the data

Add all users to a group. Grant the group the role of BigQuery user on the billing project and BigQuery
dataViewer on the projects that contain the data

Question # 4

Your customer is moving an existing corporate application to Google Cloud Platform from an on-premises data center. The business owners require minimal user disruption. There are strict security team requirements for storing passwords. What authentication strategy should they use?
A. Use G Suite Password Sync to replicate passwords into Google.
B. Federate authentication via SAML 2.0 to the existing Identity Provider. Provision users in Google using the Google Cloud Directory Sync tool.
C. Provision users in Google using the Google Cloud Directory Sync tool.
D. Ask users to set their Google password to match their corporate password.

Provision users in Google using the Google Cloud Directory Sync tool.

Question # 5

For this question, refer to the TerramEarth case study. To be compliant with European GDPR regulation, TerramEarth is required to delete data generated from its European customers after a period of 36 months when it contains personal data. In the new architecture, this data will be stored in both Cloud Storage and BigQuery. What should you do?
A. Create a BigQuery table for the European data, and set the table retention period to 36 months. For Cloud Storage, use gsutil to enable lifecycle management using a DELETE action with an Age condition of 36 months.
B. Create a BigQuery table for the European data, and set the table retention period to 36 months. For Cloud Storage, use gsutil to create a SetStorageClass to NONE action when with an Age condition of 36 months.
C. Create a BigQuery time-partitioned table for the European data, and set the partition expiration period to 36 months. For Cloud Storage, use gsutil to enable lifecycle management using a DELETE action with an Age condition of 36 months.
D. Create a BigQuery time-partitioned table for the European data, and set the partition period to 36 months. For Cloud Storage, use gsutil to create a SetStorageClass to NONE action with an Age condition of 36 months.

Create a BigQuery table for the European data, and set the table retention period to 36 months. For
Cloud Storage, use gsutil to create a SetStorageClass to NONE action when with an Age condition of 36
months.

Question # 6

Auditors visit your teams every 12 months and ask to review all the Google Cloud Identity and Access Management (Cloud IAM) policy changes in the previous 12 months. You want to streamline and expedite the analysis and audit process. What should you do?
A. Create custom Google Stackdriver alerts and send them to the auditor.
B. Enable Logging export to Google BigQuery and use ACLs and views to scope the data shared with the auditor.
C. Use cloud functions to transfer log entries to Google Cloud SQL and use ACLS and views to limit an auditor's view.
D. Enable Google Cloud Storage (GCS) log export to audit logs Into a GCS bucket and delegate access to the bucket

Enable Google Cloud Storage (GCS) log export to audit logs Into a GCS bucket and delegate access to
the bucket

Question # 7

You team needs to create a Google Kubernetes Engine (GKE) cluster to host a newly built application that requires access to third-party services on the internet. Your company does not allow any Compute Engine instance to have a public IP address on Google Cloud. You need to create a deployment strategy that adheres to these guidelines. What should you do?
A. Create a Compute Engine instance, and install a NAT Proxy on the instance. Configure all workloads on GKE to pass through this proxy to access third-party services on the Internet
B. Configure the GKE cluster as a private cluster, and configure Cloud NAT Gateway for the cluster subnet
C. Configure the GKE cluster as a route-based cluster. Configure Private Google Access on the Virtual Private Cloud (VPC)
D. Configure the GKE cluster as a private cluster. Configure Private Google Access on the Virtual Private Cloud (VPC)

Configure the GKE cluster as a private cluster, and configure Cloud NAT Gateway for the cluster subnet

Explanation: A Cloud NAT gateway can perform NAT for nodes and Pods in a private
cluster, which is a type of VPC-native cluster. The Cloud NAT gateway must be configured
to apply to at least the following subnet IP address ranges for the subnet that your cluster
uses:
Subnet primary IP address range (used by nodes)
Subnet secondary IP address range used for Pods in the cluster
Subnet secondary IP address range used for Services in the cluster
The simplest way to provide NAT for an entire private cluster is to configure a Cloud NAT
gateway to apply to all of the cluster's subnet's IP address ranges.
https://cloud.google.com/nat/docs/overview

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Introduction

The Google Professional-Cloud-Architect certification is crucial for IT professionals seeking to validate their expertise in designing, developing, and managing secure, scalable, and dynamic solutions on the Google Cloud Platform. This certification reflects an individuals proficiency in utilizing Google Cloud technologies to create effective cloud architectures and successfully implement them.

Exam Overview

The certification exam costs $200 and is structured around a 120-minute session comprising 50-60 multiple-choice and multiple-select questions. To excel, candidates should have hands-on experience with Google Cloud services and an in-depth understanding of cloud architecture principles.

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Preparation for the exam should begin with the RealBraindumps, which offers a tailored learning path that includes theoretical Google online courses and practical labs. These resources, which are available for free and with paid options, provide an excellent start to the preparation journey.

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FAQs of Professional-Cloud-Architect Exam

What is the format of the Google Professional-Cloud-Architect exam?

The exam consists of multiple-choice and multiple-select questions. It lasts for 2 hours and is available in several languages, including English, Japanese, Spanish, Portuguese, French, and German.

How do I register for the Google Professional-Cloud-Architect exam?

You can register for the exam through the Google Cloud Certification website. You'll need to create an account, choose your preferred exam date and location (or select the online proctored option), and pay the exam fee.

What are the prerequisites for taking the Google Professional-Cloud-Architect exam?

There are no mandatory prerequisites. However, it is recommended that candidates have at least 3+ years of industry experience, including 1+ year of designing and managing solutions using Google Cloud Platform (GCP).

How can I prepare for the Google Professional-Cloud-Architect exam?

Preparation resources include official Google Cloud documentation, online courses, hands-on labs, study guides, and practice exams. Practical experience with GCP services is also highly beneficial.

What job roles can I pursue with a Google Professional-Cloud-Architect certification?

Certified professionals can pursue roles such as Cloud Architect, Solutions Architect, Cloud Consultant, DevOps Engineer, and Cloud Infrastructure Engineer.

What is the average salary for a Google Professional-Cloud-Architect?

According to industry data, the average salary for a Google Professional-Cloud-Architect in the United States ranges from $130,000 to $180,000 per year, depending on experience and location.

What are the benefits of becoming a Google Professional-Cloud-Architect?

Benefits include validation of your expertise in GCP, improved job prospects, higher earning potential, and the ability to design and implement scalable, reliable cloud solutions. It also demonstrates your commitment to professional development.

How does the Google Professional-Cloud-Architect certification impact career growth?

The certification can significantly enhance career growth by opening up advanced job opportunities, leading to promotions, and enabling you to take on more complex and higher-responsibility projects.

What is the future outlook for professionals with Google Professional-Cloud-Architect certification?

The demand for cloud professionals is growing rapidly as more organizations migrate to the cloud. With GCP’s expanding market presence, certified professionals are likely to see strong job prospects and opportunities for advancement in the coming years.

How do I design a highly available and scalable application on GCP?

To design a highly available and scalable application on GCP, you should leverage services like Compute Engine, Kubernetes Engine, Cloud Load Balancing, and Cloud Spanner. Use auto-scaling and multi-region deployments to ensure availability and scalability.

What are the best practices for securing a GCP environment?

Best practices include using Identity and Access Management (IAM) for fine-grained access control, enabling VPC Service Controls, encrypting data at rest and in transit, setting up audit logs, and using Cloud Security Command Center for monitoring and threat detection.

How can I optimize cost management on Google Cloud Platform?

To optimize costs, use tools like Google Cloud’s Pricing Calculator, set up budgets and alerts, take advantage of committed use contracts, use Preemptible VMs, and regularly review and clean up unused resources.

What is the role of Google Cloud Pub/Sub in a cloud architecture?

Google Cloud Pub/Sub is a messaging service that allows for asynchronous communication between independent applications. It is used to decouple systems, enabling scalable and reliable data ingestion and distribution for event-driven architectures.

How do you implement disaster recovery on GCP?

Implement disaster recovery by using multi-region and multi-zone deployments, leveraging services like Google Cloud Storage for data backups, setting up snapshots and automated backups for databases, and using Cloud DNS and load balancing for failover strategies.

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