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Title: Professional-Cloud-Developer Valid Dump - Training Professional-Cloud-Developer
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To be eligible to take the Google Professional-Cloud-Developer certification exam, individuals must have experience in developing applications on the Google Cloud Platform. This includes experience with languages such as Java, Python, and Node.js, as well as experience with cloud computing concepts such as scalability, reliability, and security. Additionally, individuals must have a strong understanding of software development methodologies and best practices, including agile development and continuous integration/continuous deployment (CI/CD).
Google Professional-Cloud-Developer Exam consists of two sections: Multiple-choice questions and practical assessments. Professional-Cloud-Developer exam duration is two hours, and the passing score is 70%. After passing the certification, you will join Google Cloud's vast community of professionals, allowing you to network with other certified professionals, take part in shared events and access exclusive Google Cloud resources.
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Google Certified Professional - Cloud Developer Sample Questions (Q75-Q80):NEW QUESTION # 75
Your company has a new security initiative that requires all data stored in Google Cloud to be encrypted by customer-managed encryption keys. You plan to use Cloud Key Management Service (KMS) to configure access to the keys. You need to follow the "separation of duties" principle and Google-recommended best practices. What should you do? (Choose two.)
Answer: A,D
Explanation:
https://cloud.google.com/kms/doc ... ng_separate_project Instead, to allow for a separation of duties, you could run Cloud KMS in its own project, for example your-key-project. Then, depending on the strictness of your separation requirements, you could either:
- (recommended) Create your-key-project without an owner at the project level, and designate an Organization Admin granted at the organization-level. Unlike an owner, an Organization Admin can't manage or use keys directly. They are restricted to setting IAM policies, which restrict who can manage and use keys. Using an organization-level node, you can further restrict permissions for projects in your organization.

NEW QUESTION # 76
You are tasked with using C++ to build and deploy a microservice for an application hosted on Google Cloud.
The code needs to be containerized and use several custom software libraries that your team has built. You do not want to maintain the underlying infrastructure of the application How should you deploy the microservice?
Answer: A

NEW QUESTION # 77
You are responsible for deploying a new API. That API will have three different URL paths:
* https://yourcompany.com/students
* https://yourcompany.com/teachers
* https://yourcompany.com/classes
You need to configure each API URL path to invoke a different function in your code. What should you do?
Answer: B
Explanation:
Explanation
https://cloud.google.com/load-ba ... xt-https-serverless

NEW QUESTION # 78
You are developing a microservice-based application that will be deployed on a Google Kubernetes Engine cluster. The application needs to read and write to a Spanner database. You want to follow security best practices while minimizing code changes. How should you configure your application to retrieve Spanner credentials?
Answer: C
Explanation:
https://cloud.google.com/blog/pr ... -workload-identity- better-authentication-for-your-gke-applications A Cloud IAM service account is an identity that an application can use to make requests to Google APIs. As an application developer, you could generate individual IAM service accounts for each application, and then download and store the keys as a Kubernetes secret that you manually rotate. Not only is this process burdensome, but service account keys only expire every
10 years (or until you manually rotate them). In the case of a breach or compromise, an unaccounted-for key could mean prolonged access for an attacker. This potential blind spot, plus the management overhead of key inventory and rotation, makes using service account keys as secrets a less than ideal method for authenticating GKE workloads.

NEW QUESTION # 79
Case study
This is a case study. Case studies are not timed separately. You can use as much exam time as you would like to complete each case. However, there may be additional case studies and sections on this exam. You must manage your time to ensure that you are able to complete all questions included on this exam in the time provided.
To answer the questions included in a case study, you will need to reference information that is provided in the case study. Case studies might contain exhibits and other resources that provide more information about the scenario that is described in the case study. Each question is independent of the other questions in this case study.
At the end of this case study, a review screen will appear. This screen allows you to review your answers and to make changes before you move to the next section of the exam. After you begin a new section, you cannot return to this section.
To start the case study
To display the first question in this case study, click the Next button. Use the buttons in the left pane to explore the content of the case study before you answer the questions. Clicking these buttons displays information such as business requirements, existing environment, and problem statements. If the case study has an All Information tab, note that the information displayed is identical to the information displayed on the subsequent tabs. When you are ready to answer a question, click the Question button to return to the question.
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.
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.
* Data is exported to an on-premises Teradata/Vertica data warehouse.
* Data analytics is performed in an on-premises Hadoop environment.
* The application has no logging.
* 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.
* Increase the number of concurrent users that can be supported.
* 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.
Technical Requirements
* The application and backend must provide usage metrics and monitoring.
* APIs require strong authentication and authorization.
* Logging must be increased, and data should be stored in a cloud analytics platform.
* Move to serverless architecture to facilitate elastic scaling.
* Provide authorized access to internal apps in a secure manner.
Which database should HipLocal use for storing user activity?
Answer: D

NEW QUESTION # 80
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