GOOGLE PROFESSIONAL-CLOUD-ARCHITECT FOR THE LATEST TRAINING MATERIALS

Google Professional-Cloud-Architect for the latest training materials

Google Professional-Cloud-Architect for the latest training materials

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Google Professional-Cloud-Architect Certification Exam is a valuable certification for individuals who want to demonstrate their expertise in cloud architecture and GCP. It is a challenging exam that requires candidates to have a strong understanding of GCP services and infrastructure. By passing Professional-Cloud-Architect Exam, candidates can prove their knowledge and skills in designing, developing, and managing secure, scalable, and reliable cloud solutions using GCP.

Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q60-Q65):

NEW QUESTION # 60
You have deployed several instances on Compute Engine. As a security requirement, instances cannot have a public IP address. There is no VPN connection between Google Cloud and your office, and you need to connect via SSH into a specific machine without violating the security requirements. What should you do?

  • A. Configure Identity-Aware Proxy (IAP) for the instance and ensure that you have the role of IAP-secured Tunnel User. Use the gcloud command line tool to ssh into the instance.
  • B. Configure Cloud NAT on the subnet where the instance is hosted. Create an SSH connection to the Cloud NAT IP address to reach the instance.
  • C. Create a bastion host in the network to SSH into the bastion host from your office location. From the bastion host, SSH into the desired instance.
  • D. Add all instances to an unmanaged instance group. Configure TCP Proxy Load Balancing with the instance group as a backend. Connect to the instance using the TCP Proxy IP.

Answer: A

Explanation:
https://cloud.google.com/iap/docs/using-tcp-forwarding#tunneling_with_ssh Leveraging the BeyondCorp security model. "This January, we enhanced context-aware access capabilities in Cloud Identity-Aware Proxy (IAP) to help you protect SSH and RDP access to your virtual machines (VMs)-without needing to provide your VMs with public IP addresses, and without having to set up bastion hosts. "
https://cloud.google.com/blog/products/identity-security/cloud-iap-enables-context-aware-access-to-vms-via-ss Reference: https://cloud.google.com/solutions/connecting-securely


NEW QUESTION # 61
During a high traffic portion of the day, one of your relational databases crashes, but the replica is never promoted to a master. You want to avoid this in the future.
What should you do?

  • A. Use a different database
  • B. Create snapshots of your database more regularly
  • C. Choose larger instances for your database
  • D. Implement routinely scheduled failovers of your databases

Answer: B

Explanation:
Explanation/Reference:
Explanation:
Take regular snapshots of your database system.
If your database system lives on a Compute Engine persistent disk, you can take snapshots of your system each time you upgrade. If your database system goes down or you need to roll back to a previous version, you can simply create a new persistent disk from your desired snapshot and make that disk the boot disk for a new Compute Engine instance. Note that, to avoid data corruption, this approach requires you to freeze the database system's disk while taking a snapshot.
Reference: https://cloud.google.com/solutions/disaster-recovery-cookbook


NEW QUESTION # 62
For this question, refer to the Dress4Win case study.
Dress4Win has asked you to recommend machine types they should deploy their application servers to. How should you proceed?

  • A. Recommend that Dress4Win deploy application servers to machine types that offer the highest RAM to CPU ratio available.
  • B. Recommend that Dress4Win deploy into production with the smallest instances available, monitor them over time, and scale the machine type up until the desired performance is reached.
  • C. Identify the number of virtual cores and RAM associated with the application server virtual machines align them to a custom machine type in the cloud, monitor performance, and scale the machine types up until the desired performance is reached.
  • D. Perform a mapping of the on-premises physical hardware cores and RAM to the nearest machine types in the cloud.

Answer: B

Explanation:
Topic 5, Dress4Win Case 2
Company Overview
Dress4win is a web-based company that helps their users organize and manage their personal wardrobe using a website and mobile application. The company also cultivates an active social network that connects their users with designers and retailers. They monetize their services through advertising, e-commerce, referrals, and a freemium app model. The application has grown from a few servers in the founder's garage to several hundred servers and appliances in a collocated data center. However, the capacity of their infrastructure is now insufficient for the application's rapid growth. Because of this growth and the company's desire to innovate faster. Dress4Win is committing to a full migration to a public cloud.
Solution Concept
For the first phase of their migration to the cloud, Dress4win is moving their development and test environments. They are also building a disaster recovery site, because their current infrastructure is at a single location. They are not sure which components of their architecture they can migrate as is and which components they need to change before migrating them.
Existing Technical Environment
The Dress4win application is served out of a single data center location. All servers run Ubuntu LTS v16.04.
Databases:
MySQL. 1 server for user data, inventory, static data:
- MySQL 5.8
- 8 core CPUs
- 128 GB of RAM
- 2x 5 TB HDD (RAID 1)
Redis 3 server cluster for metadata, social graph, caching. Each server is:
- Redis 3.2
- 4 core CPUs
- 32GB of RAM
Compute:
40 Web Application servers providing micro-services based APIs and static content.
- Tomcat - Java
- Nginx
- 4 core CPUs
- 32 GB of RAM
20 Apache Hadoop/Spark servers:
- Data analysis
- Real-time trending calculations
- 8 core CPUS
- 128 GB of RAM
- 4x 5 TB HDD (RAID 1)
3 RabbitMQ servers for messaging, social notifications, and events:
- 8 core CPUs
- 32GB of RAM
Miscellaneous servers:
- Jenkins, monitoring, bastion hosts, security scanners
- 8 core CPUs
- 32GB of RAM
Storage appliances:
iSCSI for VM hosts
Fiber channel SAN - MySQL databases
- 1 PB total storage; 400 TB available
NAS - image storage, logs, backups
- 100 TB total storage; 35 TB available
Business Requirements
Build a reliable and reproducible environment with scaled parity of production.
Improve security by defining and adhering to a set of security and Identity and Access Management (IAM) best practices for cloud.
Improve business agility and speed of innovation through rapid provisioning of new resources.
Analyze and optimize architecture for performance in the cloud.
Technical Requirements
Easily create non-production environment in the cloud.
Implement an automation framework for provisioning resources in cloud.
Implement a continuous deployment process for deploying applications to the on-premises datacenter or cloud.
Support failover of the production environment to cloud during an emergency.
Encrypt data on the wire and at rest.
Support multiple private connections between the production data center and cloud environment.
Executive Statement
Our investors are concerned about our ability to scale and contain costs with our current infrastructure. They are also concerned that a competitor could use a public cloud platform to offset their up-front investment and free them to focus on developing better features. Our traffic patterns are highest in the mornings and weekend evenings; during other times, 80% of our capacity is sitting idle.
Our capital expenditure is now exceeding our quarterly projections. Migrating to the cloud will likely cause an initial increase in spending, but we expect to fully transition before our next hardware refresh cycle. Our total cost of ownership (TCO) analysis over the next 5 years for a public cloud strategy achieves a cost reduction between 30% and 50% over our current model.


NEW QUESTION # 63
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. Update the existing Container Engine cluster with the following command:
    gcloud alpha container clusters update mycluster --enable-autoscaling --min-nodes=1 --max-nodes=10
  • D. 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.

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.


NEW QUESTION # 64
You want to allow your operations learn to store togs from all the production protects in your Organization, without during logs from other projects All of the production projects are contained in a folder. You want to ensure that all logs for existing and new production projects are captured automatically. What should you do?

  • A. Create an aggregated export on the Production folder. Set the log sink to be a Cloud Storage bucket in an operations project
  • B. Create log exports in the production projects. Set the log sinks to be a Cloud Storage bucket in an operations project.
  • C. Create an aggregated export on the Organization resource. Set the tog sink to be a Cloud Storage bucket in an operations project.
  • D. Create tog exports in the production projects. Set the tog sinks to be BigQuery datasets in the production projects and grant IAM access to the operations team to run queries on the datasets

Answer: A

Explanation:
An aggregated export is a type of sink that combines and routes log entries from the Google Cloud resources contained by an organization or folder1. By creating an aggregated export on the Production folder, you can capture all the logs from the existing and new production projects in that folder automatically1.
A log sink is a destination for log entries that match a filter1. By setting the log sink to be a Cloud Storage bucket in an operations project, you can store the log entries in Cloud Storage and allow your operations team to access them1.


NEW QUESTION # 65
......

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