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Google Professional-Cloud-Architect Exam Syllabus Topics:

Section	Objectives
Topic 1: Design and plan a cloud solution architecture	- Design for reliability, scalability, and availability - Design Google Cloud solutions based on business requirements - Plan security and compliance requirements
Topic 2: Manage and provision the solution infrastructure	- Automate infrastructure deployment - Provision compute, storage, and network resources
Topic 3: Manage implementations of cloud architecture	- Ensure solution reliability and operational excellence - Manage deployment and production systems
Topic 4: Design for security and compliance	- Implement identity and access management (IAM) - Configure data protection and encryption
Topic 5: Analyze and optimize technical and business processes	- Monitor, log, and optimize system performance - Optimize cost and resource usage

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Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q300-Q305):

NEW QUESTION # 300
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 snapshot of the existing disk. Create a custom image from the snapshot. Create an autoscaled managed instance group from the custom image.
B. Create a snapshot of the existing disk. Create an instance template from the snapshot. Create an autoscaled managed instance group from the instance template.
C. 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.
D. 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.

Answer: D

NEW QUESTION # 301
For this question, refer to the TerramEarth case study. You need to implement a reliable, scalable GCP solution for the data warehouse for your company, TerramEarth. Considering the TerramEarth business and technical requirements, what should you do?

A. Replace the existing data warehouse with BigQuery. Use table partitioning.
B. Replace the existing data warehouse with a Compute Engine instance with 96 CPUs.
C. Replace the existing data warehouse with a Compute Engine instance with 96 CPUs. Add an additional Compute Engine pre-emptible instance with 32 CPUs.
D. Replace the existing data warehouse with BigQuery. Use federated data sources.

Answer: A

Explanation:
Topic 7, 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 # 302
For this question, refer to the Helicopter Racing League (HRL) case study. A recent finance audit of cloud infrastructure noted an exceptionally high number of Compute Engine instances are allocated to do video encoding and transcoding. You suspect that these Virtual Machines are zombie machines that were not deleted after their workloads completed. You need to quickly get a list of which VM instances are idle. What should you do?

A. From the Google Console, identify which Compute Engine instances in the managed instance groups are no longer responding to health check probes.
B. Use the gcloud recommender command to list the idle virtual machine instances.
C. Use the gcloud compute instances list to list the virtual machine instances that have the idle: true label set.
D. Log into each Compute Engine instance and collect disk, CPU, memory, and network usage statistics for analysis.

Answer: B

Explanation:
Reference: https://cloud.google.com/compute/docs/instances/viewing-and-applying-idle-vm-recommendations

NEW QUESTION # 303
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. Stackdriver automatically collects admin activity logs for most services. The Stackdriver Logging agent must be installed on each instance to collect system logs.
B. Launch a custom syslogd compute instance and configure your GCP project and VMs to forward all logs to it.
C. Install the Stackdriver Logging agent on a single compute instance and let it collect all audit and access logs for your environment.
D. All admin and VM system logs are automatically collected by Stackdriver.

Answer: A

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

NEW QUESTION # 304
One of your primary business objectives is being able to trust the data stored in your application. You want to log all changes to the application dat a. How can you design your logging system to verify authenticity of your logs?

A. Digitally sign each timestamp and log entry and store the signature.
B. Use a SQL database and limit who can modify the log table.
C. Create a JSON dump of each log entry and store it in Google Cloud Storage.
D. Write the log concurrently in the cloud and on premises.

Answer: A

Explanation:
Reference:
https://cloud.google.com/storage/docs/access-logs
References: https://cloud.google.com/logging/docs/reference/tools/gcloud-logging

NEW QUESTION # 305
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