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Google Professional-Cloud-Architect Certification Exam is an industry-standard credential designed to test the knowledge and expertise of professionals in cloud architecture. Google Certified Professional - Cloud Architect (GCP) certification program is offered by Google Cloud, one of the leading cloud computing service providers in the world. Google Certified Professional - Cloud Architect (GCP) certification exam assesses the candidate's ability to design, develop, and manage secure, scalable, and reliable cloud-based solutions using Google Cloud Platform (GCP).
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Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q328-Q333):
NEW QUESTION # 328
Your application needs to process credit card transactions. You want the smallest scope of Payment Card Industry (PCI) compliance without compromising the ability to analyze transactional data and trends relating to which payment methods are used.
How should you design your architecture?
- A. Enable Logging export to Google BigQuery and use ACLs and views to scope the data shared with the auditor
- B. Streamline the audit discovery phase by labeling all of the virtual machines (VMs) that process PCI data
- C. Create separate subnetworks and isolate the components that process credit card data
- D. Create separate projects that only process credit card data
- E. Create a tokenizer service and store only tokenized data
Answer: E
Explanation:
Explanation
Explanation/Reference:
https://www.sans.org/reading-room/whitepapers/compliance/ways-reduce-pci-dss-audit-scope-tokenizing- cardholder-data-33194
NEW QUESTION # 329
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 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.
- C. 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.
- D. 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.
Answer: B
Explanation:
Explanation
https://cloud.google.com/blog/products/management-tools/how-to-use-pubsub-as-a-cloud-monitoring-notificatio
NEW QUESTION # 330
Auditors visit your teams every 12 months and ask to review all the Google Cloud Identity and Access Management (Cloud IAM) policy changes in the previous 12 months. You want to streamline and expedite the analysis and audit process. What should you do?
- A. Create custom Google Stackdriver alerts and send them to the auditor.
- B. Enable Google Cloud Storage (GCS) log export to audit logs Into a GCS bucket and delegate access to the bucket.
- C. Enable Logging export to Google BigQuery and use ACLs and views to scope the data shared with the auditor.
- D. Use cloud functions to transfer log entries to Google Cloud SQL and use ACLS and views to limit an auditor's view.
Answer: B
Explanation:
Reference:
Export the logs to Google Cloud Storage bucket - Archive Storage, as it will not be used for 1 year, price for which is $0.004 per GB per Month. The price for long term storage in BigQuery is $0.01 per GB per Month (250% more). Also for analysis purpose, whenever Auditors are there(once per year), you can use BigQuery and use GCS bucket as external data source. BigQuery supports querying Cloud Storage data from these storage classes:
Standard Nearline Coldline Archive
NEW QUESTION # 331
A small number of API requests to your microservices-based application take a very long time. You know that each request to the API can traverse many services. You want to know which service takes the longest in those cases.
What should you do?
- A. Use Stackdriver Monitoring to look for insights that show when your API latencies are high
- B. Send custom metrics for each of your requests to Stackdriver Monitoring
- C. Set timeouts on your application so that you can fail requests faster
- D. Instrument your application with Stackdriver Trace in order to break down the request latencies at each microservice
Answer: D
Explanation:
Explanation/Reference:
References: https://cloud.google.com/trace/docs/quickstart#find_a_trace
NEW QUESTION # 332
Case Study: 4 - Dress4Win case study
Company Overview
Dress4win is a web-based company that helps their users organize and manage their personal wardrobe using a website and mobile application. The company also cultivates an active social network that connects their users with designers and retailers. They monetize their services through advertising, e-commerce, referrals, and a freemium app model.
Company Background
Dress4win's application has grown from a few servers in the founder's garage to several hundred servers and appliances in a colocated data center. However, the capacity of their infrastructure is now insufficient for the application's rapid growth. Because of this growth and the company's desire to innovate faster, Dress4win is committing to a full migration to a public cloud.
Solution Concept
For the first phase of their migration to the cloud, Dress4win is considering moving their development and test environments. They are also considering building a disaster recovery site, because their current infrastructure is at a single location. They are not sure which components of their architecture they can migrate as is and which components they need to change before migrating them.
Existing Technical Environment
The Dress4win application is served out of a single data center location.
Databases:
MySQL - user data, inventory, static data
* Redis - metadata, social graph, caching
* Application servers:
Tomcat - Java micro-services
* Nginx - static content
* Apache Beam - Batch processing
* Storage appliances:
iSCSI for VM hosts
* Fiber channel SAN - MySQL databases
* NAS - image storage, logs, backups
* Apache Hadoop/Spark servers:
Data analysis
* Real-time trending calculations
* MQ servers:
Messaging
* Social notifications
* Events
* Miscellaneous servers:
Jenkins, monitoring, bastion hosts, security scanners
* Business Requirements
* Build a reliable and reproducible environment with scaled parity of production. Improve security by defining and adhering to a set of security and Identity and Access Management (IAM) best practices for cloud.
Improve business agility and speed of innovation through rapid provisioning of new resources.
Analyze and optimize architecture for performance in the cloud. Migrate fully to the cloud if all other requirements are met.
Technical Requirements
Evaluate and choose an automation framework for provisioning resources in cloud. Support failover of the production environment to cloud during an emergency. Identify production services that can migrate to cloud to save capacity.
Use managed services whenever possible.
Encrypt data on the wire and at rest.
Support multiple VPN connections between the production data center and cloud environment.
CEO Statement
Our investors are concerned about our ability to scale and contain costs with our current infrastructure. They are also concerned that a new competitor could use a public cloud platform to offset their up-front investment and freeing them to focus on developing better features.
CTO Statement
We have invested heavily in the current infrastructure, but much of the equipment is approaching the end of its useful life. We are consistently waiting weeks for new gear to be racked before we can start new projects. Our traffic patterns are highest in the mornings and weekend evenings; during other times, 80% of our capacity is sitting idle.
CFO Statement
Our capital expenditure is now exceeding our quarterly projections. Migrating to the cloud will likely cause an initial increase in spending, but we expect to fully transition before our next hardware refresh cycle. Our total cost of ownership (TCO) analysis over the next 5 years puts a cloud strategy between 30 to 50% lower than our current model.
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. Monitoring, Logging, Debug, Error Report
- B. Monitoring, Trace, Debug, Logging
- C. Logging, Alerts, Insights, Debug
- D. Monitoring, Logging, Alerts, Error Reporting
Answer: B
NEW QUESTION # 333
......
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