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The benefits of becoming a certified Professional-Cloud-Architect are numerous. Firstly, it demonstrates a high level of expertise in cloud architecture and GCP, which can enhance one's career prospects and earning potential. Secondly, it can help organizations identify professionals with the necessary skills to design and manage their cloud solutions. Lastly, it provides access to a community of certified professionals and resources to stay up-to-date with the latest developments in GCP.
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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The Professional-Cloud-Architect exam consists of multiple-choice and scenario-based questions that test the candidate's ability to design and implement scalable and secure cloud solutions using GCP services. Professional-Cloud-Architect Exam covers a wide range of topics, including GCP infrastructure and services, data storage and processing, networking, security, compliance, and business continuity.
NEW QUESTION # 227
You want to enable your running Google Kubernetes Engine cluster to scale as demand for your application changes. What should you do?
Answer: A
Explanation:
https://cloud.google.com/kubernetes-engine/docs/concepts/cluster-autoscaler To enable autoscaling for an existing node pool, run the following command:
gcloud container clusters update [CLUSTER_NAME] --enable-autoscaling --min-nodes 1 --max- nodes 10 --zone [COMPUTE_ZONE] --node-pool default- pool
NEW QUESTION # 228
Your team is redacting a new application that is about to go into production. During testing, it emerges that a developer code allows user input to be used to modify the application and execute commands.This event has thrown everyone into despair and has generated the fear that there are other problems of this type in the system. Which of the following services may help you?
Answer: A
Explanation:
What you need is a service that examines your code and finds out if something is vulnerable or insecure. Web Security Scanner does exactly this: it performs managed and custom web vulnerability scanning.
It performs scans for OWASP, CIS GCP Foundation, PCI-DSS (and more) published findings.
A is wrong because Cloud Armor is a Network Security Service, with WAF rules, DDoS and application attacks defenses.
C is wrong because the Security Command Center suite contains Web Security Scanner and many other services.
D is wrong because Shielded GKE nodes are special and secured VMs.
NEW QUESTION # 229
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 dat a. In the new architecture, this data will be stored in both Cloud Storage and BigQuery. What should you do?
Answer: C
Explanation:
Reference:
https://cloud.google.com/bigquery/docs/managing-partitioned-tables#partition-expiration
https://cloud.google.com/storage/docs/lifecycle
Topic 5, Mountkrik Games Case 2
Company Overview
Mountkirk Games makes online, session-based, multiplayer games for mobile platforms. They build all of their games using some server-side integration. Historically, they have used cloud providers to lease physical servers.
Due to the unexpected popularity of some of their games, they have had problems scaling their global audience, application servers, MySQL databases, and analytics tools.
Their 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.
Business Requirements
Increase to a global footprint.
Improve uptime - downtime is loss of players.
Increase efficiency of the cloud resources we use.
Reduce latency to all customers.
Technical Requirements
Requirements for Game Backend Platform
Dynamically scale up or down based on game activity.
Connect to a transactional database service to manage user profiles and game state.
Store game activity in a timeseries database service for future analysis.
As the system scales, ensure that data is not lost due to processing backlogs.
Run hardened Linux distro.
Requirements for Game Analytics Platform
Dynamically scale up or down based on game activity
Process incoming data on the fly directly from the game servers
Process data that arrives late because of slow mobile networks
Allow queries to access at least 10 TB of historical data
Process files that are regularly uploaded by users' mobile devices
Executive Statement
Our last successful game did not scale well with our previous cloud provider, resulting 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 game to target users. Additionally, 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.
NEW QUESTION # 230
A production database virtual machine on Google Compute Engine has an ext4-formatted persistent disk for data files The database is about to run out of storage space How can you remediate the problem with the least amount of downtime?
Answer: B
Explanation:
On Linux instances, connect to your instance and manually resize your partitions and file systems to use the additional disk space that you added.
Extend the file system on the disk or the partition to use the added space. If you grew a partition on your disk, specify the partition. If your disk does not have a partition table, specify only the disk ID.
sudo resize2fs /dev/[DISK_ID][PARTITION_NUMBER]
where [DISK_ID] is the device name and [PARTITION_NUMBER] is the partition number for the device where you are resizing the file system.
NEW QUESTION # 231
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?
Answer: C
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 # 232
......
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