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| Certification Vendor: | |
|---|---|
| Exam Name: | Google Certified Professional - Cloud Architect |
| Exam Number: | Professional-Cloud-Architect |
| Related Certifications: | Google Cloud Certified - Professional Cloud Architect |
| Exam Price: | $200 USD |
| Real Exam Qty: | 50-60 |
| Available Languages: | Portuguese, Indonesian, English, French, German, Japanese, Spanish |
| Certificate Validity Period: | 2 years |
| Exam Format: | Multiple Choice, Multiple Select |
| Exam Duration: | 120 minutes |
| Passing Score: | Not publicly disclosed |
| Sample Questions: | Google Professional-Cloud-Architect Sample Questions |
| Exam Way: | Online (proctored) or at a test center |
| Pre Condition: | No mandatory prerequisite, but recommended to have 3+ years of industry experience including 1+ years designing and managing solutions using Google Cloud |
| Official Syllabus URL: | https://cloud.google.com/learn/certification/cloud-architect |
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NEW QUESTION # 126
You want to store critical business information in Cloud Storage buckets. The information is regularly changed, but previous versions need to be referenced on a regular basis. You want to ensure that there is a record of all changes to any information in these buckets. You want to ensure that accidental edits or deletions can be easily rolled back. Which feature should you enable?
Answer: C
Explanation:
Object versioning, super important to be able to rollback in case of any deletion.
https://cloud.google.com/storage/docs/object-versioning
NEW QUESTION # 127
For this question, refer to the Mountkirk Games case study
Mountkirk Games needs to create a repeatable and configurable mechanism for deploying isolated application environments. Developers and testers can access each other's environments and resources, but they cannot access staging or production resources. The staging environment needs access to some services from production.
What should you do to isolate development environments from staging and production?
Answer: C
NEW QUESTION # 128
You are designing a large distributed application with 30 microservices. Each of your distributed microservices needs to connect to a database back-end. You want to store the credentials securely. Where should you store the credentials?
Answer: A
Explanation:
Explanation
https://cloud.google.com/docs/authentication/production#providing_credentials_to_your_application
NEW QUESTION # 129
Mountkirk Games wants to limit the physical location of resources to their operating Google Cloud regions.
What should you do?
Answer: B
Explanation:
Topic 9, Helicopter Racing League Case
Company overview
Helicopter Racing League (HRL) is a global sports league for competitive helicopter racing. Each year HRL holds the world championship and several regional league competitions where teams compete to earn a spot in the world championship. HRL offers a paid service to stream the races all over the world with live telemetry and predictions throughout each race.
Solution concept
HRL wants to migrate their existing service to a new platform to expand their use of managed AI and ML services to facilitate race predictions. Additionally, as new fans engage with the sport, particularly in emerging regions, they want to move the serving of their content, both real-time and recorded, closer to their users.
Existing technical environment
HRL is a public cloud-first company; the core of their mission-critical applications runs on their current public cloud provider. Video recording and editing is performed at the race tracks, and the content is encoded and transcoded, where needed, in the cloud. Enterprise-grade connectivity and local compute is provided by truck-mounted mobile data centers. Their race prediction services are hosted exclusively on their existing public cloud provider. Their existing technical environment is as follows:
* Existing content is stored in an object storage service on their existing public cloud provider.
* Video encoding and transcoding is performed on VMs created for each job.
* Race predictions are performed using TensorFlow running on VMs in the current public cloud provider.
Business requirements
HRL's owners want to expand their predictive capabilities and reduce latency for their viewers in emerging markets. Their requirements are:
* Support ability to expose the predictive models to partners.
* Increase predictive capabilities during and before races:
# Race results
# Mechanical failures
# Crowd sentiment
* Increase telemetry and create additional insights.
* Measure fan engagement with new predictions.
* Enhance global availability and quality of the broadcasts.
* Increase the number of concurrent viewers.
* Minimize operational complexity.
* Ensure compliance with regulations.
* Create a merchandising revenue stream.
Technical requirements
* Maintain or increase prediction throughput and accuracy.
* Reduce viewer latency.
* Increase transcoding performance.
* Create real-time analytics of viewer consumption patterns and engagement.
* Create a data mart to enable processing of large volumes of race data.
Executive statement
Our CEO, S. Hawke, wants to bring high-adrenaline racing to fans all around the world. We listen to our fans, and they want enhanced video streams that include predictions of events within the race (e.g., overtaking).
Our current platform allows us to predict race outcomes but lacks the facility to support real-time predictions during races and the capacity to process season-long results.
NEW QUESTION # 130
Your customer runs a web service used by e-commerce sites to offer product recommendations to users. the company has begun experimenting with a machine learning model on Google Cloud Platform to improve the quality of results.
What should the customer do to improve their model's results over time?
Answer: B
Explanation:
BigQuery need data to be applied in AI.
NEW QUESTION # 131
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