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Google Professional-Cloud-Developer certification exam opens the doors for starting a bright career in the sector. After passing the Google Professional-Cloud-Developer test you will easily apply for good jobs in top companies all over the world. Google Professional-Cloud-Developer exam offers multiple advantages including, high salaries, promotions, enhancing resumes, and skills improvement. Once you pass the Professional-Cloud-Developer Exam, you can avail all these benefits. If you want to pass the Google Professional-Cloud-Developer certification exam, you must find the best resource to prepare for the Google Professional-Cloud-Developer test.

Target Audience and Prerequisites

The Google Professional Cloud Developer certification exam is intended for those App Developers who are involved in designing and building applications to run on Google Cloud Platform. These specialists should be familiar with the Google Cloud Platform products, such as Cloud Storage, Compute Engine, Security Key Enforcement, as well as BigQuery.

There are no obligatory requirements that the candidates need to meet to become eligible for the qualifying test. Nevertheless, the target individuals are recommended to have three or more years of industry experience, including one or more years of experience in designing and managing solutions using Google Cloud. Besides that, the students need to develop a comprehensive understanding of the exam topics.

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Important Details

The candidates for this certification are the Cloud developers who have competence in building highly available and scalable apps with the Google-recommended tools and practices. They also have proficiency in a minimum of one general-purpose programming language. It is recommended that the individuals for the Professional Cloud Developer certificate have at least three years of practical experience with Google Cloud solutions and products. They should also possess at least one year of designing and managing solutions with the use of GCP. Please note that you should also understand the content of the prerequisite exam before attempting it.

The Google Professional-Cloud-Developer certification is a highly sought-after credential in the cloud computing industry. It demonstrates the candidate's proficiency in developing cloud-based applications on the Google Cloud Platform. The certification is recognized globally and is a major asset for individuals who wish to pursue a career in cloud computing. It is an essential certification for developers who want to enhance their skills and knowledge in cloud computing.

Google Certified Professional - Cloud Developer Sample Questions (Q153-Q158):

NEW QUESTION # 153
You need to migrate an internal file upload API with an enforced 500-MB file size limit to App Engine.
What should you do?

A. Use FTP to upload files.B. Use signed URLs to upload files.C. Use CPanel to upload files.D. Change the API to be a multipart file upload API.

Answer: B

Explanation:
Reference:
https://wiki.christophchamp.com/index.php?title=Google_Cloud_Platform
Topic 1, HipLocal Case Study
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 10,000 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


NEW QUESTION # 154
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?

A. Place the unique configuration values in a Cloud Bigtable table.B. Place the unique configuration values in the persistent disk.C. Place the unique configuration values in the instance template instance metadata.D. Place the unique configuration values in the instance template startup script.

Answer: B

Explanation:
Reference: https://cloud.google.com/compute/docs/instance-groups


NEW QUESTION # 155
You deployed a new application to Google Kubernetes Engine and are experiencing some performance degradation. Your logs are being written to Cloud Logging, and you are using a Prometheus sidecar model for capturing metrics. You need to correlate the metrics and data from the logs to troubleshoot the performance issue and send real-time alerts while minimizing costs. What should you do?

A. Export the Cloud Logging logs and stream the Prometheus metrics to BigQuery. Run a recurring query to join the results, and send notifications using Cloud Tasks.B. Export the Prometheus metrics and use Cloud Monitoring to view them as external metrics. Configure Cloud Monitoring to create log-based metrics from the logs, and correlate them with the Prometheus data.C. Export the Cloud Logging logs and the Prometheus metrics to Cloud Bigtable. Run a query to join the results, and analyze in Google Data Studio.D. Create custom metrics from the Cloud Logging logs, and use Prometheus to import the results using the Cloud Monitoring REST API.

Answer: B

Explanation:
Reference:
https://cloud.google.com/blog/products/operations/troubleshoot-gke-faster-with-monitoring-data-in-your-logs


NEW QUESTION # 156
Technician Tommy is replacing a logic board on a Mac mini. Which of the following should he hold when handling the logic board?

A. Any componentsB. The heat sinksC. The connectorsD. The edges of the logic board

Answer: D

Explanation:
Explanation/Reference: https://www.ifixit.com/Guide/Mac+mini+Late+2014+Logic+Board+Replacement/33077


NEW QUESTION # 157
Your website is deployed on Compute Engine. Your marketing team wants to test conversion rates between 3 different website designs.
Which approach should you use?

A. Deploy the website on App Engine as three separate services.B. Deploy the website on Cloud Functions and use traffic splitting.C. Deploy the website on Cloud Functions as three separate functions.D. Deploy the website on App Engine and use traffic splitting.

Answer: D

Explanation:
Reference:
https://cloud.google.com/appengine/docs/standard/python/splitting-traffic


NEW QUESTION # 158
......

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