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To pass the Google Professional-Cloud-Architect certification exam, candidates need to demonstrate a deep understanding of GCP services and their use cases, as well as the ability to design and implement solutions that meet specific business requirements. Professional-Cloud-Architect exam consists of multiple-choice and scenario-based questions, and candidates have two hours and thirty minutes to complete it. Google Certified Professional - Cloud Architect (GCP) certification is valid for two years and requires recertification to maintain its validity. By earning the Google Professional-Cloud-Architect Certification, professionals can demonstrate their expertise in cloud architecture and distinguish themselves in the job market.

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To take the exam, candidates must have a strong understanding of cloud computing concepts, including distributed systems, data storage, and networking. They must also be familiar with the various GCP services and tools, such as Compute Engine, Cloud Storage, and BigQuery. Professional-Cloud-Architect Exam Format consists of multiple-choice and scenario-based questions, and candidates have two hours and thirty minutes to complete the exam.

Exam Topics

The certification exam covers six domains. Each of them has a list of subtopics that the applicants should understand before taking the test. To develop competence in the content, it is recommended that you spend some time going over the exam guide and taking some practice tests. Below are the details of the subjects covered in the Google Professional Cloud Architect exam:

Designing & Planning Cloud Solution Architectures

Design a solution infrastructure that fulfills the business prerequisites: this covers skills in cost optimization; product strategy and business use cases; integration with the external systems; supporting application designs; build-buy-or-modify; design decision trade-off; data movement; observability and compliance; success measurements;
Design network, compute, and storage resources: this covers one’s competence in selecting data processing technologies, relevant storage types, and compute resources; integration with multi-Cloud/on-premises environments; Cloud-native networking; mapping compute requirements for platform products;
Design a solution infrastructure that fulfills the technical prerequisites: the candidates must demonstrate their understanding of Cloud resources elasticity; failover design and high availability; latency and performance; scalability to fulfill growth needs;
Envision future solutions enhancements: the individuals should understand the technology and Cloud improvements; evangelism and advocacy; business requirements evolution.
Create a migration plan: the students should be able to integrate the solution with current systems; migrate data and systems to support solutions; license mapping; test and proof concepts; network planning; dependency management strategy;

Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q113-Q118):

NEW QUESTION # 113
For this question, refer to the Mountkirk Games case study.
Mountkirk Games' gaming servers are not automatically scaling properly. Last month, they rolled out a new feature, which suddenly became very popular. A record number of users are trying to use the service, but many of them are getting 503 errors and very slow response times. What should they investigate first?

A. Verify that the project quota hasn't been exceeded.
B. Verify that the new feature code did not introduce any performance bugs.
C. Verify that the load-testing team is not running their tool against production.
D. Verify that the database is online.

Answer: D

Explanation:
Topic 1, Mountkirk Games Case Study
Company Overview
Mountkirk Games makes online, session-based. multiplayer games for the most popular mobile platforms.
Company Background
Mountkirk Games builds all of their games with some server-side integration and has historically used cloud providers to lease physical servers. A few of their games were more popular than expected, and they had problems scaling their application servers, MySQL databases, and analytics tools.
Mountkirk's current model is to write game statistics to files and send them through an ETL tool that loads them into a centralized MySQL database for reporting.
Solution Concept
Mountkirk Games is building a new game, which they expect to be very popular. They plan to deploy the game's backend on Google Compute Engine so they can capture streaming metrics, run intensive analytics and take advantage of its autoscaling server environment and integrate with a managed NoSQL database.
Technical Requirements
Requirements for Game Backend Platform
1. Dynamically scale up or down based on game activity.
2. Connect to a managed NoSQL database service.
3. Run customized Linx distro.
Requirements for Game Analytics Platform
1. Dynamically scale up or down based on game activity.
2. Process incoming data on the fly directly from the game servers.
3. Process data that arrives late because of slow mobile networks.
4. Allow SQL queries to access at least 10 TB of historical data.
5. Process files that are regularly uploaded by users' mobile devices.
6. Use only fully managed services
CEO Statement
Our last successful game did not scale well with our previous cloud provider, resuming in lower user adoption and affecting the game's reputation. Our investors want more key performance indicators (KPIs) to evaluate the speed and stability of the game, as well as other metrics that provide deeper insight into usage patterns so we can adapt the gams to target users.
CTO Statement
Our current technology stack cannot provide the scale we need, so we want to replace MySQL and move to an environment that provides autoscaling, low latency load balancing, and frees us up from managing physical servers.
CFO Statement
We are not capturing enough user demographic data usage metrics, and other KPIs. As a result, we do not engage the right users. We are not confident that our marketing is targeting the right users, and we are not selling enough premium Blast-Ups inside the games, which dramatically impacts our revenue.

NEW QUESTION # 114
You are moving an application that uses MySQL from on-premises to Google Cloud. The application will run on Compute Engine and will use Cloud SQL. You want to cut over to the Compute Engine deployment of the application with minimal downtime and no data loss to your customers. You want to migrate the application with minimal modification. You also need to determine the cutover strategy. What should you do?

A. 1. Set up Cloud VPN to provide private network connectivity between the Compute Engine application and the on-premises MySQL server.
2. Stop the on-premises application.
3. Create a mysqldump of the on-premises MySQL server.
4. Upload the dump to a Cloud Storage bucket.
5. Import the dump into Cloud SQL.
6. Modify the source code of the application to write queries to both databases and read from its local database.
7. Start the Compute Engine application.
8. Stop the on-premises application.
B. 1. Set up Cloud SQL proxy and MySQL proxy.
2. Create a mysqldump of the on-premises MySQL server.
3. Upload the dump to a Cloud Storage bucket.
4. Import the dump into Cloud SQL.
5. Stop the on-premises application.
6. Start the Compute Engine application.
C. 1. Stop the on-premises application.
2. Create a mysqldump of the on-premises MySQL server.
3. Upload the dump to a Cloud Storage bucket.
4. Import the dump into Cloud SQL.
5. Start the application on Compute Engine.
D. 1. Set up Cloud VPN to provide private network connectivity between the Compute Engine application and the on-premises MySQL server.
2. Stop the on-premises application.
3. Start the Compute Engine application, configured to read and write to the on-premises MySQL server.
4. Create the replication configuration in Cloud SQL.
5. Configure the source database server to accept connections from the Cloud SQL replica.
6. Finalize the Cloud SQL replica configuration.
7. When replication has been completed, stop the Compute Engine application.
8. Promote the Cloud SQL replica to a standalone instance.
9. Restart the Compute Engine application, configured to read and write to the Cloud SQL standalone instance.

Answer: D

NEW QUESTION # 115
Your company provides a recommendation engine for retail customers. You are providing retail customers with an API where they can submit a user ID and the API returns a list of recommendations for that user.
You are responsible for the API lifecycle and want to ensure stability for your customers in case the API makes backward-incompatible changes. You want to follow Google-recommended practices. What should you do?

A. Create an automated process to generate API documentation, and update the public API documentation as part of the CI/CD process when deploying an update to the API.
B. Create a distribution list of all customers to inform them of an upcoming backward-incompatible change at least one month before replacing the old API with the new API.
C. Use a versioning strategy for the APIs that increases the version number on every backward-incompatible change.
D. Use a versioning strategy for the APIs that adds the suffix "DEPRECATED" to the current API version number on every backward-incompatible change. Use the current version number for the new API.

Answer: D

Explanation:
https://cloud.google.com/apis/design/versioning
All Google API interfaces must provide a major version number, which is encoded at the end of the protobuf package, and included as the first part of the URI path for REST APIs. If an API introduces a breaking change, such as removing or renaming a field, it must increment its API version number to ensure that existing user code does not suddenly break.

NEW QUESTION # 116
You want to enable your running Google Kubernetes Engine cluster to scale as demand for your application changes.
What should you do?

A. Update the existing Kubernetes Engine cluster with the following command:
gcloud alpha container clusters
update mycluster - -enable-
autoscaling - -min-nodes=1 - -max-nodes=10
B. Add additional nodes to your Kubernetes Engine cluster using the following command:
gcloud container clusters resize
CLUSTER_Name - -size 10
C. 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
D. Create a new Kubernetes Engine cluster with the following command:
gcloud alpha container clusters
create mycluster - -enable-
autoscaling - -min-nodes=1 - -max-nodes=10
and redeploy your application

Answer: A

NEW QUESTION # 117
A few days after JencoMart migrates the user credentials database to Google Cloud Platform and shuts down the old server, the new database server stops responding to SSH connections. It is still serving database requests to the application servers correctly.
What three steps should you take to diagnose the problem? Choose 3 answers.

A. Take a snapshot of the disk and connect to a new machine to investigate
B. Delete the instance, attach the disk to a new VM, and investigate
C. Check inbound firewall rules for the network the machine is connected to
D. Print the Serial Console output for the instance for troubleshooting, activate the interactive console, and investigate
E. Delete the virtual machine (VM) and disks and create a new one
F. Connect the machine to another network with very simple firewall rules and investigate

Answer: A,C,D

Explanation:
D: Handling "Unable to connect on port 22" error message
Possible causes include:
* There is no firewall rule allowing SSH access on the port. SSH access on port 22 is enabled on all Compute Engine instances by default. If you have disabled access, SSH from the Browser will not work. If you run sshd on a port other than 22, you need to enable the access to that port with a custom firewall rule.
* The firewall rule allowing SSH access is enabled, but is not configured to allow connections from GCP Console services. Source IP addresses for browser-based SSH sessions are dynamically allocated by GCP Console and can vary from session to session.
F: Handling "Could not connect, retrying..." error
You can verify that the daemon is running by navigating to the serial console output page and looking for output lines prefixed with the accounts-from-metadata: string. If you are using a standard image but you do not see these output prefixes in the serial console output, the daemon might be stopped. Reboot the instance to restart the daemon.
Reference:
https://cloud.google.com/compute/docs/ssh-in-browser
https://cloud.google.com/compute/docs/ssh-in-browser

NEW QUESTION # 118
......

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Test Professional-Cloud-Architect Dump - Free Professional-Cloud-Architect Vce Dumps

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Free Professional-Cloud-Architect Vce Dumps & Advanced Professional-Cloud-Architect Testing Engine

Exam Topics

Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q113-Q118):

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