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Google Professional-Cloud-Architect Certification Exam is a highly sought-after credential for IT professionals who specialize in cloud architecture. Google Certified Professional - Cloud Architect (GCP) certification is designed to validate a candidate's skills and knowledge in designing, developing, and managing scalable and reliable cloud solutions using Google Cloud Platform (GCP).

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Google Professional-Cloud-Architect Exam is designed to test the skills and knowledge of individuals who work in cloud architecture. Professional-Cloud-Architect exam is part of the Google Certified Professional - Cloud Architect (GCP) certification, which is recognized as a valuable qualification in the cloud computing industry. Professional-Cloud-Architect exam is designed to evaluate the candidate's ability to design and implement cloud solutions that meet the needs of businesses and organizations.

Before attending the exam for the Google Professional Cloud Architect certification, the individuals need to develop a good comprehension of its topics. The syllabus of the test is divided into five sections, each including several subtopics. The detailed outline of the exam domains can be viewed on the vendor’s website. A brief overview of the content is provided below:

Analysis & Optimization of Technical & Business Processes
Within this subject area, the students need to demonstrate their proficiency in analyzing and determining technical as well as business processes. It also requires their skills in developing procedures to guarantee the reliability of solutions in production.
Management & Provisioning of Solution Infrastructure
In the framework of this topic, the test takers will be asked to showcase their ability to configure network topologies, individual storage systems, as well as compute systems.
Ensuring of Solution & Operations Reliability
To tackle the questions related to the last domain, the applicants are required to be conversant with monitoring/logging/profiling/alerting solutions. They should know how to perform deployment & release management as well as evaluate quality control measures. IN addition, the specialists must be able to assist with the support of deployed solutions.
Security & Compliance Design
The examinees will be evaluated based on their competency in designing for security, including such considerations as identity & access management (IAM), resource hierarchy, data security, separation of duties (SoD), security controls, remote access, as well as managing customer-managed encryption keys using Cloud Key Management Service. Another subtopic covered in this section is designing for compliance. This involves the knowledge of legislation, commercial, industry certifications, as well as audits.

During the exam for the Google Professional Cloud Architect certification, some of the questions will refer you to a case study describing a fictitious business & solution concept. These case studies are designed to provide the students with additional context to help them choose the right answer(s). The candidates can review the examples of possible case studies in the official guide.

Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q305-Q310):

NEW QUESTION # 305
You have an application that makes HTTP requests to Cloud Storage. Occasionally the requests fail with HTTP status codes of 5xx and 429.
How should you handle these types of errors?

A. Implement retry logic using a truncated exponential backoff strategy.
B. Use gRPC instead of HTTP for better performance.
C. Monitor https://status.cloud.google.com/feed.atom and only make requests if Cloud Storage is not reporting
D. Make sure the Cloud Storage bucket is multi-regional for geo-redundancy.

Answer: B

Explanation:
an incident.
Explanation:
Reference https://cloud.google.com/storage/docs/json_api/v1/status-codes

NEW QUESTION # 306
Your architecture calls for the centralized collection of all admin activity and VM system logs within your project.
How should you collect these logs from both VMs and services?

A. Launch a custom syslogd compute instance and configure your GCP project and VMs to forward all logs to it.
B. All admin and VM system logs are automatically collected by Stackdriver.
C. Install the Stackdriver Logging agent on a single compute instance and let it collect all audit and access logs for your environment.
D. Stackdriver automatically collects admin activity logs for most services. The Stackdriver Logging agent must be installed on each instance to collect system logs.

Answer: D

Explanation:
https://cloud.google.com/logging/docs/agent/default-logs

NEW QUESTION # 307
Case Study: 7 - Mountkirk Games
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.
For this question, refer to the Mountkirk Games case study. Mountkirk Games wants to migrate from their current analytics and statistics reporting model to one that meets their technical requirements on Google Cloud Platform.
Which two steps should be part of their migration plan? (Choose two.)

A. Evaluate the impact of migrating their current batch ETL code to Cloud Dataflow.
B. Write a schema migration plan to denormalize data for better performance in BigQuery.
C. Draw an architecture diagram that shows how to move from a single MySQL database to a MySQL cluster.
D. Integrate Cloud Armor to defend against possible SQL injection attacks in analytics files uploaded to Cloud Storage.
E. Load 10 TB of analytics data from a previous game into a Cloud SQL instance, and run test queries against the full dataset to confirm that they complete successfully.

Answer: A,B

NEW QUESTION # 308
Your applications will be writing their logs to BigQuery for analysis. Each application should have its own table. Any logs older than 45 days should be removed. You want to optimize storage and follow Google- recommended practices. What should you do?

A. Configure the expiration time for your tables at 45 days
B. Create a script that uses the BigQuery command line tool (bq) to remove records older than 45 days
C. Rely on BigQuery's default behavior to prune application logs older than 45 days
D. Make the tables time-partitioned, and configure the partition expiration at 45 days

Answer: A

NEW QUESTION # 309
One of the developers on your team deployed their application in Google Container Engine with the Dockerfile below. They report that their application deployments are taking too long.

You want to optimize this Dockerfile for faster deployment times without adversely affecting the app's functionality.
Which two actions should you take? Choose 2 answers.

A. Use a slimmed-down base image like Alpine linux.
B. Copy the source after the package dependencies (Python and pip) are installed.
C. Use larger machine types for your Google Container Engine node pools.
D. Remove Python after running pip.
E. Remove dependencies from requirements.txt.

Answer: A,B

Explanation:
Explanation
The speed of deployment can be changed by limiting the size of the uploaded app, limiting the complexity of the build necessary in the Dockerfile, if present, and by ensuring a fast and reliable internet connection.
Note: Alpine Linux is built around musl libc and busybox. This makes it smaller and more resource efficient than traditional GNU/Linux distributions. A container requires no more than 8 MB and a minimal installation to disk requires around 130 MB of storage. Not only do you get a fully-fledged Linux environment but a large selection of packages from the repository.
References: https://groups.google.com/forum/#!topic/google-appengine/hZMEkmmObDU
https://www.alpinelinux.org/about/

NEW QUESTION # 310
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