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What is the duration, language, and format of Google Professional Cloud Architect Exam

Format: Multiple choices, multiple answers
Length of Examination: 120 minutes
Recommended experience: 3+ years of industry experience including 1+ years designing and managing solutions using GCP

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Google Professional-Cloud-Architect Exam is designed to test the candidate's knowledge of Google Cloud Platform services, architecture, and design principles. Professional-Cloud-Architect exam consists of 50 multiple-choice questions that must be answered in 2 hours. Professional-Cloud-Architect exam is available in English, Japanese, Spanish, and Portuguese languages.

Section #2. Handling the solution’s infrastructure

The key knowledge area covered in this domain includes the development of an on-premises environment, designing a setup with multiple clouds, security concepts, and storage space allotment for diverse data.

Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q73-Q78):

NEW QUESTION # 73
You want to enable your running Google Container Engine cluster to scale as demand for your application changes.
What should you do?

A. Add additional nodes to your Container Engine cluster using the following command:
gcloud container clusters resize CLUSTER_NAME --size 10
B. Add a tag to the instances in the cluster with the following command:
gcloud compute instances add-tags INSTANCE --tags enable --autoscaling max-nodes-10
C. Create a new Container Engine cluster with the following command:
gcloud alpha container clusters create mycluster --enable-autocaling --min-nodes=1 --max-nodes=10 and redeploy your application.
D. Update the existing Container Engine cluster with the following command:
gcloud alpha container clusters update mycluster --enable-autoscaling --min-nodes=1 --max-nodes=10

Answer: B

Explanation:
https://cloud.google.com/kubernetes-engine/docs/concepts/cluster-autoscaler Cluster autoscaling
--enable-autoscaling
Enables autoscaling for a node pool.
Enables autoscaling in the node pool specified by --node-pool or the default node pool if --node-pool is not provided.
Where:
--max-nodes=MAX_NODES
Maximum number of nodes in the node pool.
Maximum number of nodes to which the node pool specified by --node-pool (or default node pool if unspecified) can scale.
Incorrect Answers:
C, D: Warning: Do not use Alpha Clusters or alpha features for production workloads.
Note: You can experiment with Kubernetes alpha features by creating an alpha cluster. Alpha clusters are short-lived clusters that run stable Kubernetes releases with all Kubernetes APIs and features enabled. Alpha clusters are designed for advanced users and early adopters to experiment with workloads that take advantage of new features before those features are production-ready. You can use Alpha clusters just like normal Kubernetes Engine clusters.
References:
https://cloud.google.com/sdk/gcloud/reference/container/clusters/create

NEW QUESTION # 74
Your company has decided to build a backup replica of their on-premises user authentication PostgreSQL database on Google Cloud Platform. The database is 4 TB, and large updates are frequent. Replication requires private address space communication. Which networking approach should you use?

A. Google Cloud Dedicated Interconnect
B. A NAT and TLS translation gateway installed on-premises
C. Google Cloud VPN connected to the data center network
D. A Google Compute Engine instance with a VPN server installed connected to the data center network

Answer: A

Explanation:
https://cloud.google.com/docs/enterprise/best-practices-for-enterprise-organizations Google Cloud Dedicated Interconnect provides direct physical connections and RFC 1918 communication between your on-premises network and Google's network. Dedicated Interconnect enables you to transfer large amounts of data between networks, which can be more cost effective than purchasing additional bandwidth over the public Internet or using VPN tunnels.
Benefits:
Traffic between your on-premises network and your VPC network doesn't traverse the public Internet.
Traffic traverses a dedicated connection with fewer hops, meaning there are less points of failure where traffic might get dropped or disrupted.
Your VPC network's internal (RFC 1918) IP addresses are directly accessible from your on-premises network. You don't need to use a NAT device or VPN tunnel to reach internal IP addresses. Currently, you can only reach internal IP addresses over a dedicated connection. To reach Google external IP addresses, you must use a separate connection.
You can scale your connection to Google based on your needs. Connection capacity is delivered over one or more 10 Gbps Ethernet connections, with a maximum of eight connections (80 Gbps total per interconnect).
The cost of egress traffic from your VPC network to your on-premises network is reduced. A dedicated connection is generally the least expensive method if you have a high-volume of traffic to and from Google's network.
References: https://cloud.google.com/interconnect/docs/details/dedicated

NEW QUESTION # 75
You want to automate the creation of a managed instance group and a startup script to install the OS package dependencies. You want to minimize the startup time for VMs in the instance group.
What should you do?

A. Use Terraform to create the managed instance group and a startup script to install the OS package dependencies.
B. Use Deployment Manager to create the managed instance group and Ansible to install the OS package dependencies.
C. Use Puppet to create the managed instance group and install the OS package dependencies.
D. Create a custom VM image with all OS package dependencies. Use Deployment Manager to create the managed instance group with the VM image.

Answer: D

NEW QUESTION # 76
To improve governance and security, your organization has structured the Google Cloud environment using folders for different business units. Each Business unit folder has subfolders for development, staging, and production environments, which must comply with internal security controls. You need to design a scalable and enforceable model that blocks internet ingress traffic to the production folders while selectively allowing direct HTTPS traffic to the necessary virtual machines. You must also ensure that individual project teams cannot overwrite these controls. What should you do?

A. At the organization root, apply a hierarchical firewall policy to deny all ingress except for HTTPS to tagged VMs.
B. Mandate the application teams to deploy a Terraform module to create VPC firewall rules in each project that deny ingress and allow HTTPS.
C. At each production folder, use an organization policy to block all external IPs and require teams to use external HTTPS load balancers.
D. At each production folder, apply a hierarchical firewall policy to deny all ingress except for HTTPS to tagged VMs.

Answer: D

Explanation:
According to Google Cloud Networking best practices, Hierarchical Firewall Policies are the definitive tool for enforcing security at scale. Unlike standard VPC firewall rules, which are managed at the project level and can be deleted or modified by project owners, hierarchical policies are applied at the Folder or Organization level and are inherited by all child projects.
By applying the policy at the Production folder level (Option C), you ensure that the rules apply specifically to production workloads without affecting development or staging environments (which might need more permissive access). The policy can contain a high-priority " deny all " ingress rule and a higher-priority " allow " rule specifically for port 443 (HTTPS) targeted at specific network tags . Because these rules are enforced by the folder administrator, project-level teams cannot " overwrite " them, satisfying the security and governance requirements. Option D is too broad as it would apply to all environments (including dev), and Option B is too restrictive and complex for simple direct VM access.

NEW QUESTION # 77
You are helping the QA team to roll out a new load-testing tool to test the scalability of your primary cloud services that run on Google Compute Engine with Cloud Bigtable. Which three requirements should they include? Choose 3 answers

A. Ensure that the load tests validate the performance of Cloud Bigtable.
B. Ensure all third-party systems your services use are capable of handling high load.
C. Schedule the load-testing tool to regularly run against the production environment.
D. Create a separate Google Cloud project to use for the load-testing environment.
E. Instrument the load-testing tool and the target services with detailed logging and metrics collection.
F. Instrument the production services to record every transaction for replay by the load-testing tool.

Answer: A,C,F

NEW QUESTION # 78
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