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Google Professional-Cloud-Developer Exam Overview:

Certification Vendor:Google Cloud
Exam Name:Google Cloud Certified Professional - Cloud Developer Exam
Exam Number:Professional-Cloud-Developer
Passing Score:Not publicly disclosed
Exam Format:Multiple select, Multiple choice
Related Certifications:Google Cloud Certified Professional - Cloud Architect
Google Cloud Certified Associate - Cloud Engineer
Exam Duration:120 minutes
Real Exam Qty:50-60
Exam Price:$200 USD (plus tax where applicable)
Available Languages:Japanese, English
Certificate Validity Period:2 years
Recommended Training:Google Cloud Professional Cloud Developer Learning Path
Official Exam Guide
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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The Google Certified Professional - Cloud Developer certification exam covers a wide range of topics, including cloud architecture, application development, data storage, security, and networking. Candidates are expected to have a deep understanding of Google Cloud Platform services such as App Engine, Cloud Storage, Cloud SQL, and Compute Engine. They should also be proficient in programming languages such as Java, Python, and Go.

Google Certified Professional - Cloud Developer Sample Questions (Q140-Q145):

NEW QUESTION # 140
You plan to deploy a new Go application to Cloud Run. The source code is stored in Cloud Source Repositories. You need to configure a fully managed, automated, continuous deployment pipeline that runs when a source code commit is made. You want to use the simplest deployment solution. What should you do?

Answer: C

Explanation:
https://cloud.google.com/run/docs/continuous-deployment-with-cloud-build Cloud Build is a fully managed, scalable, and efficient service provided by Google Cloud that allows you to automate your software delivery pipeline, including building, testing, and deploying applications. By using a trigger with Cloud Build, you can automatically build and deploy your Go application to Cloud Run whenever a source code commit is made in Cloud Source Repositories.
This provides a simple, fully managed solution for continuous deployment, and eliminates the need for manual processes or external tools like Jenkins.


NEW QUESTION # 141
You have an application in production. It is deployed on Compute Engine virtual machine instances controlled by a managed instance group. Traffic is routed to the instances via a HTTP(s) load balancer. Your users are unable to access your application. You want to implement a monitoring technique to alert you when the application is unavailable.
Which technique should you choose?

Answer: C

Explanation:
Reference:
https://medium.com/google-cloud/stackdriver-monitoring-automation-part-3-uptime-checks-
476b8507f59c


NEW QUESTION # 142
You are developing a corporate tool on Compute Engine for the finance department, which needs to authenticate users and verify that they are in the finance department. All company employees use G Suite.
What should you do?

Answer: C

Explanation:
https://cloud.google.com/iap/docs/signed-headers-howto#securing_iap_headers (https://cloud.google.com/endpoints/docs/openapi/authenticating-users-google-id).
https://cloud.google.com/armor/docs/security-policy-overview#:~:text=Google%20Cloud%20Armor%20security
"Google Cloud Armor security policies protect your application by providing Layer 7 filtering and by scrubbing incoming requests for common web attacks or other Layer 7 attributes to potentially block traffic before it reaches your load balanced backend services or backend buckets"


NEW QUESTION # 143
You are evaluating developer tools to help drive Google Kubernetes Engine adoption and integration with your development environment, which includes VS Code and IntelliJ. What should you do?

Answer: D


NEW QUESTION # 144
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 is expanding into new locations. They must capture additional data each time the application is launched in a new European country. This is causing delays in the development process due to constant schema changes and a lack of environments for conducting testing on the application changes. How should they resolve the issue while meeting the business requirements?

Answer: C

Explanation:
D (100%)


NEW QUESTION # 145
......

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