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Google Professional-Cloud-Architect exam is a certification exam that tests a candidate's ability to design and implement Google Cloud Platform solutions. Professional-Cloud-Architect exam is designed for professionals who are responsible for designing, developing, and managing cloud solutions using Google Cloud Platform. Professional-Cloud-Architect Exam is also suitable for individuals who are looking to validate their expertise in cloud architecture and who want to advance their career in cloud computing.

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Earning the Google Professional-Cloud-Architect Certification demonstrates that the candidate has the knowledge and skills necessary to design and implement cloud solutions using GCP technologies. Google Certified Professional - Cloud Architect (GCP) certification is highly valued by employers, as it demonstrates that the candidate has the ability to design and implement scalable, efficient, and secure cloud solutions that meet the needs of modern businesses.

Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q219-Q224):

NEW QUESTION # 219
Your company is running a stateless application on a Compute Engine instance. The application is used heavily during regular business hours and lightly outside of business hours. Users are reporting that the application is slow during peak hours. You need to optimize the application's performance. What should you do?

A. Create a custom image from the existing disk. Create an instance template from the custom image.
Create an autoscaled managed instance group from the instance template.
B. Create a snapshot of the existing disk. Create a custom image from the snapshot. Create an autoscaled managed instance group from the custom image.
C. Create a snapshot of the existing disk. Create an instance template from the snapshot. Create an autoscaled managed instance group from the instance template.
D. Create an instance template from the existing disk. Create a custom image from the instance template.
Create an autoscaled managed instance group from the custom image.

Answer: A

Explanation:
https://cloud.google.com/compute/docs/instance-templates/create-instance- templates#using_custom_or_public_images_in_your_instance_templates

NEW QUESTION # 220
You need to deploy a stateful workload on Google Cloud. The workload can scale horizontally, but each instance needs to read and write to the same POSIX filesystem. At high load, the stateful workload needs to support up to 100 MB/s of writes. What should you do?

A. Use a regional persistent disk for each instance.
B. Use a persistent disk for each instance.
C. Create a Cloud Storage bucket and mount it in each instance using gcsfuse.
D. Create a Cloud Filestore instance and mount it in each instance.

Answer: D

Explanation:
Filestore is fully managed network attached storage and it scales to 100s of TBs for high- performance workloads. Gcsfuse is a user-space file system for interacting with Google Cloud Storage. As with the other access methods, Cloud Storage does not support concurrency and locking. For example, if multiple Cloud Storage FUSE clients are writing to the same file, the last flush wins.
https://cloud.google.com/storage/docs/gcs-fuse

NEW QUESTION # 221
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. Implement routinely scheduled failovers of your databases.
B. Choose larger instances for your database.
C. Use a different database.
D. Create snapshots of your database more regularly.

Answer: D

Explanation:
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 # 222
You are using Cloud CDN to deliver static HTTP(S) website content hosted on a Compute Engine instance group. You want to improve the cache hit ratio.
What should you do?

A. Make sure the HTTP(S) header "Cache-Region" points to the closest region of your users.
B. Replicate the static content in a Cloud Storage bucket. Point CloudCDN toward a load balancer on that bucket.
C. Shorten the expiration time of the cached objects.
D. Customize the cache keys to omit the protocol from the key.

Answer: D

Explanation:
Explanation
Reference https://cloud.google.com/cdn/docs/bestpractices#
using_custom_cache_keys_to_improve_cache_hit_ratio

NEW QUESTION # 223
Case Study: 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.
For this question, refer to the Mountkirk Games case study. Mountkirk Games has deployed their new backend on Google Cloud Platform (GCP).
You want to create a thorough testing process for new versions of the backend before they are released to the public.
You want the testing environment to scale in an economical way.
How should you design the process?

A. Use the existing infrastructure to test the GCP-based backend at scale.
B. Create a set of static environments in GCP to test different levels of load -- for example, high, medium, and low.
C. Build stress tests into each component of your application using resources internal to GCP to simulate load.
D. Create a scalable environment in GCP for simulating production load.

Answer: D

Explanation:
From scenario: 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 customize Linux distro

NEW QUESTION # 224
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