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| Certification Vendor: | Google Cloud |
|---|---|
| Exam Name: | Google Cloud Certified Professional Cloud Architect Exam |
| Exam Number: | Professional Cloud Architect |
| Certificate Validity Period: | 2 years |
| Exam Price: | $200 USD |
| Related Certifications: | Google Cloud Professional Cloud Network Engineer Google Cloud Professional Cloud Developer Google Cloud Professional Cloud Security Engineer Google Cloud Digital Leader Google Cloud Professional Data Engineer Google Cloud Associate Cloud Engineer |
| Passing Score: | Not publicly disclosed (scaled score; commonly reported passing threshold ~70%) |
| Exam Duration: | 120 minutes |
| Available Languages: | Spanish, Portuguese, Japanese, French, English |
| Exam Format: | Multiple select, Case study-based questions, Multiple choice |
| Real Exam Qty: | Approximately 50–60 questions |
| Recommended Training: | Google Cloud Skills Boost - Cloud Architect Learning Path Coursera Google Cloud Professional Cloud Architect Training |
| Exam Registration: | Google Cloud Certification Portal Professional Cloud Architect Exam Page |
| Sample Questions: | Google Professional-Cloud-Architect Sample Questions |
| Exam Way: | Online proctored or onsite test center exam |
| Pre Condition: | No formal prerequisites required, but Google recommends prior experience with Google Cloud and cloud architecture design. |
| Official Syllabus URL: | https://cloud.google.com/learn/certification/cloud-architect |
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The qualifying test for the Google Professional Cloud Architect certification is 2 hours long. The questions administered during the exam can be presented as multiple-select and multiple-choice items. The test is delivered in English or Japanese and can be taken by the students either online from a remote location or in-person at the authorized testing center. To check the location of the nearest center, you can use the search on the official website. To schedule the exam, each applicant is required to pay the registration fee of $200, plus applicable taxes.
NEW QUESTION # 37
You are managing several projects on Google Cloud and need to interact on a daily basis with BigQuery, Bigtable and Kubernetes Engine using the gcloud CLI tool You are travelling a lot and work on different workstations during the week You want to avoid having to manage the gcloud CLI manually What should you do?
Answer: D
Explanation:
This option allows you to use the gcloud CLI tool without having to install or manage it manually on different workstations. Google Cloud Shell is a browser-based command-line tool that provides you with a temporary Compute Engine virtual machine instance preloaded with the Cloud SDK, including the gcloud CLI tool. You can access Google Cloud Shell from any web browser and use it to interact with BigQuery, Bigtable and Kubernetes Engine using the gcloud CLI tool. The other options are not optimal for this scenario, because they either require installing and updating the gcloud CLI tool on multiple workstations (A, C), or creating and maintaining a Compute Engine instance for the sole purpose of using the gcloud CLI tool (B). Reference:
https://cloud.google.com/shell/docs/overview
https://cloud.google.com/sdk/gcloud/
NEW QUESTION # 38
For this question, refer to the Dress4Win case study.
Dress4Win has configured a new uptime check with Google Stackdriver for several of their legacy services. The Stackdriver dashboard is not reporting the services as healthy. What should they do?
Answer: D
NEW QUESTION # 39
For this question, refer to the Dress4Win case study.
At Dress4Win, an operations engineer wants to create a tow-cost solution to remotely archive copies of database backup files. The database files are compressed tar files stored in their current data center. How should he proceed?
Answer: A
Explanation:
Follow these rules of thumb when deciding whether to use gsutil or Storage Transfer Service:
* When transferring data from an on-premises location, use gsutil.
* When transferring data from another cloud storage provider, use Storage Transfer Service.
* Otherwise, evaluate both tools with respect to your specific scenario.
Use this guidance as a starting point. The specific details of your transfer scenario will also help you determine which tool is more appropriate
https://cloud.google.com/storage-transfer/docs/overview
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 # 40
Your 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?
Answer: A
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
NEW QUESTION # 41
For this question, refer to the JencoMart case study.
The migration of JencoMart's application to Google Cloud Platform (GCP) is progressing too slowly. The infrastructure is shown in the diagram. You want to maximize throughput. What are three potential bottlenecks? (Choose 3 answers.)
Answer: A,E,F
NEW QUESTION # 42
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