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| Certification Vendor: | Google Cloud |
|---|---|
| Exam Name: | Google Cloud Certified Professional - Cloud Developer Exam |
| Exam Number: | Professional-Cloud-Developer |
| Exam Format: | Multiple choice, Multiple select |
| Real Exam Qty: | 50-60 |
| Passing Score: | Not publicly disclosed |
| Available Languages: | Japanese, English |
| Certificate Validity Period: | 2 years |
| Exam Duration: | 120 minutes |
| Related Certifications: | Google Cloud Certified Associate - Cloud Engineer Google Cloud Certified Professional - Cloud Architect |
| Exam Price: | $200 USD (plus tax where applicable) |
| Recommended Training: | Official Exam Guide Google Cloud Professional Cloud Developer Learning Path |
| Exam Registration: | Google Cloud Certification Registration |
| Sample Questions: | Google Professional-Cloud-Developer Sample Questions |
| Exam Way: | Online-proctored (remote) or onsite-proctored at authorized testing centers |
| Pre Condition: | No formal prerequisites; recommended: 3+ years industry experience, 1+ year designing/managing Google Cloud solutions |
| Official Syllabus URL: | https://cloud.google.com/learn/certification/cloud-developer |
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To prepare for the Professional-Cloud-Developer Certification Exam, candidates must have hands-on experience in developing applications on GCP. They must also have a good understanding of programming languages such as Java, Python, and Node.js. Google offers a variety of training resources to help candidates prepare for the exam, including online courses, sample questions, and practice tests.
NEW QUESTION # 164
Case Study 2 - HipLocal
Company Overview
HipLocal is a community application designed to facilitate communication between people in close proximity. It is used for event planning and organizing sporting events, and for businesses to connect with their local communities. HipLocal launched recently in a few neighborhoods in Dallas and is rapidly growing into a global phenomenon. Its unique style of hyper-local community communication and business outreach is in demand around the world.
Executive Statement
We are the number one local community app; it's time to take our local community services global. Our venture capital investors want to see rapid growth and the same great experience for new local and virtual communities that come online, whether their members are 10 or 10000 miles away from each other.
Solution Concept
HipLocal wants to expand their existing service, with updated functionality, in new regions to better serve their global customers. They want to hire and train a new team to support these regions in their time zones. They will need to ensure that the application scales smoothly and provides clear uptime data, and that they analyze and respond to any issues that occur.
Existing Technical Environment
HipLocal's environment is a mix of on-premises hardware and infrastructure running in Google Cloud Platform. The HipLocal team understands their application well, but has limited experience in global scale applications. Their existing technical environment is as follows:
- Existing APIs run on Compute Engine virtual machine instances hosted in GCP.
- State is stored in a single instance MySQL database in GCP.
- Release cycles include development freezes to allow for QA testing.
- The application has no logging.
- Applications are manually deployed by infrastructure engineers during periods of slow traffic on weekday evenings.
- There are basic indicators of uptime; alerts are frequently fired when the APIs are unresponsive.
Business Requirements
HipLocal's investors want to expand their footprint and support the increase in demand they are seeing. Their requirements are:
- Expand availability of the application to new regions.
- Support 10x as many concurrent users.
- Ensure a consistent experience for users when they travel to different regions.
- Obtain user activity metrics to better understand how to monetize their product.
- Ensure compliance with regulations in the new regions (for example, GDPR).
- Reduce infrastructure management time and cost.
- Adopt the Google-recommended practices for cloud computing.
Develop standardized workflows and processes around application lifecycle management.
Define service level indicators (SLIs) and service level objectives (SLOs).
Technical Requirements
- Provide secure communications between the on-premises data center and cloud-hosted applications and infrastructure.
- The application must provide usage metrics and monitoring.
- APIs require authentication and authorization.
- Implement faster and more accurate validation of new features.
- Logging and performance metrics must provide actionable information to be able to provide debugging information and alerts.
- Must scale to meet user demand.
For this question refer to the HipLocal case study.
HipLocal wants to reduce the latency of their services for users in global locations. They have created read replicas of their database in locations where their users reside and configured their service to read traffic using those replicas. How should they further reduce latency for all database interactions with the least amount of effort?
Answer: A
NEW QUESTION # 165
Your application is built as a custom machine image. You have multiple unique deployments of the machine image. Each deployment is a separate managed instance group with its own template. Each deployment requires a unique set of configuration values. You want to provide these unique values to each deployment but use the same custom machine image in all deployments. You want to use out-of-the-box features of Compute Engine. What should you do?
Answer: B
Explanation:
Reference: https://cloud.google.com/compute/docs/instance-groups
NEW QUESTION # 166
Your application is running in multiple Google Kubernetes Engine clusters. It is managed by a Deployment in each cluster. The Deployment has created multiple replicas of your Pod in each cluster. You want to view the logs sent to stdout for all of the replicas in your Deployment in all clusters.
Which command should you use?
Answer: D
Explanation:
https://cloud.google.com/blog/products/management-tools/using-logging-your-apps-running- kubernetes-engine gcloud command line tool - Using the gcloud logging read command, select the appropriate cluster, node, pod and container logs.
NEW QUESTION # 167
You are writing a single-page web application with a user-interface that communicates with a third-party API for content using XMLHttpRequest. The data displayed on the UI by the API results is less critical than other data displayed on the same web page, so it is acceptable for some requests to not have the API data displayed in the UI. However, calls made to the API should not delay rendering of other parts of the user interface. You want your application to perform well when the API response is an error or a timeout.
What should you do?
Answer: B
Explanation:
Asynchronous handling provides the ability to call the API in the background without blocking the rendering of other elements. If the response is received it can be rendered or omitted if a timeout occurs.
NEW QUESTION # 168
You need to migrate an internal file upload API with an enforced 500-MB file size limit to App Engine.
What should you do?
Answer: A
Explanation:
Explanation/Reference: https://wiki.christophchamp.com/index.php?title=Google_Cloud_Platform
NEW QUESTION # 169
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