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Google Professional-Cloud-Architect Exam Syllabus Topics:

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

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Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q138-Q143):

NEW QUESTION # 138
Case Study: 11 - TerramEarth
Company overview
TerramEarth manufactures heavy equipment for the mining and agricultural industries. They currently have over 500 dealers and service centers in 100 countries.
Their mission is to build products that make their customers more productive.
Solution concept
There are 2 million TerramEarth vehicles in operation currently, and we see 20% yearly growth.
Vehicles collect telemetry data from many sensors during operation. A small subset of critical data is transmitted from the vehicles in real time to facilitate fleet management. The rest of the sensor data is collected, compressed, and uploaded daily when the vehicles return to home base.
Each vehicle usually generates 200 to 500 megabytes of data per day.
Existing technical environment
TerramEarth's vehicle data aggregation and analysis infrastructure resides in Google Cloud and serves clients from all around the world. A growing amount of sensor data is captured from their two main manufacturing plants and sent to private data centers that contain their legacy inventory and logistics management systems. The private data centers have multiple network interconnects configured to Google Cloud. The web frontend for dealers and customers is running in Google Cloud and allows access to stock management and analytics.
Business requirements
- Predict and detect vehicle malfunction and rapidly ship parts to dealerships for just-in-time repair where possible.
- Decrease cloud operational costs and adapt to seasonality.
- Increase speed and reliability of development workflow.
- Allow remote developers to be productive without compromising code or data security.
- Create a flexible and scalable platform for developers to create custom API services for dealers and partners.
Technical requirements
- Create a new abstraction layer for HTTP API access to their legacy systems to enable a gradual move into the cloud without disrupting operations.
- Modernize all CI/CD pipelines to allow developers to deploy container-based workloads in highly scalable environments.
- Allow developers to run experiments without compromising security and governance requirements.
- Create a self-service portal for internal and partner developers to create new projects, request resources for data analytics jobs, and centrally manage access to the API endpoints.
- Use cloud-native solutions for keys and secrets management and optimize for identity-based access.
- Improve and standardize tools necessary for application and network monitoring and troubleshooting.
Executive statement
Our competitive advantage has always been our focus on the customer, with our ability to provide excellent customer service and minimize vehicle downtimes.
After moving multiple systems into Google Cloud, we are seeking new ways to provide best-in- class online fleet management services to our customers and improve operations of our dealerships. Our 5-year strategic plan is to create a partner ecosystem of new products by enabling access to our data, increasing autonomous operation capabilities of our vehicles, and creating a path to move the remaining legacy systems to the cloud.
TerramEarth has a legacy web application that you cannot migrate to cloud. However, you still want to build a cloud-native way to monitor the application. If the application goes down, you want the URL to point to a "Site is unavailable" page as soon as possible. You also want your Ops team to receive a notification for the issue. You need to build a reliable solution for minimum cost.
What should you do?

A. Create a cron job on a Compute Engine VM that runs every minute. The cron job invokes a Python program to check the application URL. If the application is down, switch the URL to the
"Site is unavailable" page, and notify the Ops team.
B. Create a scheduled job in Cloud Run to invoke a container every minute. The container will check the application URL. If the application is down, switch the URL to the "Site is unavailable" page, and notify the Ops team.
C. Create a Cloud Monitoring uptime check to validate the application URL. If it fails, put a message in a Pub/Sub queue that triggers a Cloud Function to switch the URL to the "Site is unavailable" page, and notify the Ops team.
D. Use Cloud Error Reporting to check the application URL. If the application is down, switch the URL to the "Site is unavailable" page, and notify the Ops team.

Answer: C

Explanation:
Cloud monitoring for Uptime check to validate the application URL and leverage pub/sub to trigger Cloud Function to switch URL.
https://cloud.google.com/monitoring/uptime-checks?hl=en

NEW QUESTION # 139
Your company is planning to migrate their Windows Server 2022 from their on-premises data center to Google Cloud. You need to bring the licenses that are currently in use in on-premises virtual machines into the target cloud environment. What should you do?

A. 1. Create an image of the on-premises virtual machines.
2. Import the image as a virtual disk on Compute Engine using --os=windows-2022-dc-v.
3. Create a sole-tenancy instance on Compute Engine that uses the imported disk as a boot disk.
B. 1. Create an image of the on-premises virtual machine.
2. Import the image as a virtual disk on Compute Engine.
3. Create a standard instance on Compute Engine, selecting as the OS the same Microsoft Windows version that is currently in use in the on-premises environment.
4. Attach a data disk that includes data that matches the created image.
C. 1. Create standard instances on Compute Engine.
2. Select as the OS the same Microsoft Windows version that is currently in use in the on- premises environment.
D. 1. Create an image of the on-premises virtual machines and upload into Cloud Storage.
2. Import the image as a virtual disk on Compute Engine.

Answer: A

Explanation:
https://cloud.google.com/migrate/compute-engine/docs/4.11/how-to/organizing-migrations/sole- tenant-nodes

NEW QUESTION # 140
Your customer wants to capture multiple GBs of aggregate real-time key performance indicators (KPIs) from their game servers running on Google Cloud Platform and monitor the KPIs with low latency. How should they capture the KPIs?

A. Store time-series data from the game servers in Google Bigtable, and view it using Google Data Studio.
B. Schedule BigQuery load jobs to ingest analytics files uploaded to Cloud Storage every ten minutes, and visualize the results in Google Data Studio.
C. Insert the KPIs into Cloud Datastore entities, and run ad hoc analysis and visualizations of them in Cloud Datalab.
D. Output custom metrics to Stackdriver from the game servers, and create a Dashboard in Stackdriver Monitoring Console to view them.

Answer: A

Explanation:
Explanation/Reference: https://cloud.google.com/solutions/data-lifecycle-cloud-platform

NEW QUESTION # 141
Your customer wants to do resilience testing of their authentication layer. This consists of a regional managed instance group serving a public REST API that reads from and writes to a Cloud SQL instance.
What should you do?

A. Schedule a disaster simulation exercise during which you can shut off all VMs in a zone to see how your application behaves.
B. Engage with a security company to run web scrapes that look your users' authentication data om malicious websites and notify you if any if found.
C. Configure a red replica for your Cloud SQL instance in a different zone than the master, and then manually trigger a failover while monitoring KPIs for our REST API.
D. Deploy intrusion detection software to your virtual machines to detect and log unauthorized access.

Answer: A

NEW QUESTION # 142
For this question, refer to the Dress4Win case study.
As part of Dress4Win's plans to migrate to the cloud, they want to be able to set up a managed logging and monitoring system so they can handle spikes in their traffic load. They want to ensure that:
* The infrastructure can be notified when it needs to scale up and down to handle the ebb and flow of usage throughout the day
* Their administrators are notified automatically when their application reports errors.
* They can filter their aggregated logs down in order to debug one piece of the application across many hosts Which Google StackDriver features should they use?

A. Logging, Alerts, Insights, Debug
B. Monitoring, Logging, Debug, Error Report
C. Monitoring, Trace, Debug, Logging
D. Monitoring, Logging, Alerts, Error Reporting

Answer: B

NEW QUESTION # 143
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