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Google Professional-Cloud-Developer certification is recognized globally and demonstrates a candidate's expertise in developing cloud-based applications using Google Cloud technologies. Google Certified Professional - Cloud Developer certification can help professionals advance their career in cloud computing and increase their earning potential. It also provides access to the Google Cloud Certified community, which offers exclusive resources and networking opportunities for certified professionals.

The Google Professional-Cloud-Developer Exam covers multiple topics, including application development, data storage, databases, security, and monitoring on the GCP. Candidates are also assessed on their ability to work with GCP APIs, Google Cloud SDK, and various development tools for the GCP. The Google Professional-Cloud-Developer Certification Exam is a reliable way for professionals to demonstrate their expertise in cloud development on the GCP and enhance their career opportunities in the cloud computing industry.

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The Google Professional Cloud Developer certification is created to validate the candidates’ understanding of Cloud-native software design principles. It also measures the ability of the specialists to build, test and deploy applications with the help of best practices for scalability, reliability, and security. To earn this sought-after certificate, the applicants need to ace a single exam.

Google Certified Professional - Cloud Developer Sample Questions (Q275-Q280):

NEW QUESTION # 275
You are deploying a microservices application to Google Kubernetes Engine (GKE) that will broadcast livestreams. You expect unpredictable traffic patterns and large variations in the number of concurrent users. Your application must meet the following requirements:
* Scales automatically during popular events and maintains high availability
* Is resilient in the event of hardware failures
How should you configure the deployment parameters? (Choose two.)

A. Distribute your workload evenly using multiple zonal node pools.
B. Create a managed instance group for Compute Engine with the cluster nodes. Configure autoscaling rules for the managed instance group.
C. Create alerting policies in Cloud Monitoring based on GKE CPU and memory utilization. Ask an on-duty engineer to scale the workload by executing a script when CPU and memory usage exceed predefined thresholds.
D. Use cluster autoscaler to resize the number of nodes in the node pool, and use a Horizontal Pod Autoscaler to scale the workload.
E. Distribute your workload evenly using a multi-zonal node pool.

Answer: D,E

NEW QUESTION # 276
Case Study 1 - 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.
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?

A. Cloud SQL
B. Cloud Datastore
C. Cloud Spanner
D. BigQuery

Answer: D

Explanation:
In the case study is stated: "Obtain user activity metrics to better understand how to monetize their product", which means that they'll need to analyse the user activity.

NEW QUESTION # 277
You are trying to connect to your Google Kubernetes Engine (GKE) cluster using kubectl from Cloud Shell.
You have deployed your GKE cluster with a public endpoint. From Cloud Shell, you run the following command:

You notice that the kubectl commands time out without returning an error message. What is the most likely cause of this issue?

A. The Cloud Shell is not part of the same VPC as the GKE cluster.
B. A VPC firewall is blocking access to the cluster's endpoint.
C. Your Cloud Shell external IP address is not part of the authorized networks of the cluster.
D. Your user account does not have privileges to interact with the cluster using kubectl.

Answer: C

Explanation:
Explanation
https://cloud.google.com/kubernetes-engine/docs/how-to/private-clusters#cloud_shell If you want to use Cloud Shell to access the cluster, you must add the public IP address of your Cloud Shell to the cluster's list of authorized networks.

NEW QUESTION # 278
You have two Google Cloud projects, named Project A and Project B. You need to create a Cloud Function in Project A that saves the output in a Cloud Storage bucket in Project B. You want to follow the principle of least privilege. What should you do?

A. 1. Determine the default App Engine service account
(PROJECT_ID@appspot.gserviceaccount.com) in Project A.
2. Deploy the Cloud Function with the default App Engine service account in Project A.
3. Assign the default App Engine service account the roles/storage.objectCreator role on the storage bucket residing in Project B.
B. 1. Determine the default App Engine service account
(PROJECT_ID@appspot.gserviceaccount.com) in Project B.
2. Deploy the Cloud Function with the default App Engine service account in Project A.
3. Assign the default App Engine service account the roles/storage.objectCreator role on the storage bucket residing in Project B.
C. 1. Create a Google service account in Project B.
2. Deploy the Cloud Function with the service account in Project A.
3. Assign this service account the roles/storage.objectCreator role on the storage bucket residing in Project B.
D. 1. Create a Google service account in Project A
2. Deploy the Cloud Function with the service account in Project A.
3. Assign this service account the roles/storage.objectCreator role on the storage bucket residing in Project B.

Answer: D

Explanation:
https://articles.wesionary.team/multi-project-account-service-account-in-gcp-ba8f8821347e

NEW QUESTION # 279
Your company wants to expand their users outside the United States for their popular application. The company wants to ensure 99.999% availability of the database for their application and also wants to minimize the read latency for their users across the globe.
Which two actions should they take? (Choose two.)

A. Create a multi-regional Cloud Spanner instance with "nam-asia-eur1" configuration.
B. Create a Cloud Dataflow pipeline to replicate data across different databases.
C. Create a minimum of two Cloud Spanner instances in separate regions with at least one node.
D. Create a cluster with at least 1 Spanner node.
E. Create a cluster with at least 3 Spanner nodes.
F. Create a multi-regional Cloud Spanner instance with "nam3" configuration.

Answer: B,F

NEW QUESTION # 280
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