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Google Professional-Cloud-Developer certification exam is designed for developers who want to demonstrate their expertise in developing applications on the Google Cloud Platform (GCP). Google Certified Professional - Cloud Developer certification is intended for individuals who have experience building application infrastructure and coding in GCP environments. Professional-Cloud-Developer Exam covers a wide range of topics, including GCP services such as App Engine, Compute Engine, Kubernetes Engine, and Cloud Functions, as well as other tools and technologies such as Stackdriver Logging and Monitoring, Cloud Endpoints, and Cloud SQL.

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Section 2: Building & Testing Apps

To answer the questions related to this section, the test takers should be capable of setting up their local development environment as well as writing efficient code. It also measures the ability of the candidates to perform testing, including unit testing, integration testing, performance testing, and load testing. They should also demonstrate that they know how to perform building. This involves executing source control management; creating secure container images from code; developing a continuous integration pipeline with the help of services that construct deployment artifacts; reviewing & improving continuous integration pipeline effectiveness.

Google Professional-Cloud-Developer Exam is an excellent opportunity for developers who want to demonstrate their expertise in cloud development using GCP. Google Certified Professional - Cloud Developer certification validates the skills and knowledge required to build, deploy, and manage highly scalable and reliable cloud applications using GCP services. Passing Professional-Cloud-Developer exam can help developers advance their careers and open up new opportunities in cloud development.

Google Certified Professional - Cloud Developer Sample Questions (Q99-Q104):

NEW QUESTION # 99
You are designing a schema for a table that will be moved from MySQL to Cloud Bigtable. The MySQL table is as follows:

How should you design a row key for Cloud Bigtable for this table?

A. Set Account_id_Event_timestamp as a key.
B. Set Account_id as a key.
C. Set Event_timestamp_Account_id as a key.
D. Set Event_timestamp as a key.

Answer: C

NEW QUESTION # 100
You have an application running on Google Kubernetes Engine (GKE). The application is currently using a logging library and is outputting to standard output You need to export the logs to Cloud Logging, and you need the logs to include metadata about each request. You want to use the simplest method to accomplish this. What should you do?

A. Update your application to output logs in JSON format, and add the necessary metadata to the JSON
B. Update your application to output logs in CSV format, and add the necessary metadata to the CSV.
C. Install the Fluent Bit agent on each of your GKE nodes, and have the agent export all logs from /var/ log.
D. Change your application s logging library to the Cloud Logging library and configure your application to export logs to Cloud Logging

Answer: B

NEW QUESTION # 101
Your application team is developing an ecommerce application. Your team has developed a new functionality that has a dependency on a third-party service. This third-party service will be deployed in a few days. However, you have been unable to ensure the reliability of this service.
You need to choose a deployment strategy for the ecommerce application that will avoid disruption and can be rolled back quickly if issues are discovered. What should you do?

A. Use a feature flag to enable the new functionality to users on demand. Gradually enable the new functionality to more users.
B. Deploy the new functionality to all users by using a blue/green deployment strategy.
C. Deploy the new functionality by using an A/B deployment strategy.
D. Gradually roll out the new functionality by using a rolling updates deployment strategy. Start with a small subset of users and increase the number of users over time.

Answer: A

Explanation:
Using a feature flag allows you to control the release of the new functionality independently of the deployment itself. This approach enables you to quickly enable or disable the feature if issues arise with the third-party service, providing a seamless rollback option without requiring redeployment. You can start by enabling the feature for a small subset of users and gradually increase exposure as confidence grows in the third-party service's reliability.
This strategy minimizes disruption to users, avoids potential downtime, and provides fine-grained control over the release, making it an ideal choice for managing dependencies with uncertain reliability.

NEW QUESTION # 102
You support an application that uses the Cloud Storage API. You review the logs and discover multiple HTTP 503 Service Unavailable error responses from the API. Your application logs the error and does not take any further action. You want to implement Google-recommended retry logic to improve success rates.
Which approach should you take?

A. Retry the failures in batch after a set number of failures is logged.
B. Retry each failure at a set time interval up to a maximum number of times.
C. Retry each failure at decreasing time intervals up to a maximum number of tries.
D. Retry each failure at increasing time intervals up to a maximum number of tries.

Answer: D

Explanation:
https://cloud.google.com/storage/docs/retry-strategy

NEW QUESTION # 103
You are developing a web application that will be accessible over both HTTP and HTTPS and will run on Compute Engine instances. On occasion, you will need to SSH from your remote laptop into one of the Compute Engine instances to conduct maintenance on the app. How should you configure the instances while following Google-recommended best practices?

A. Set up a backend with Compute Engine web server instances with a private IP address behind a TCP proxy load balancer.
B. Set up a backend with Compute Engine web server instances with a private IP address behind an HTTP(S) load balancer. Set up a bastion host with a public IP address and open firewall ports.Connect to the web instances using the bastion host.
C. Configure Cloud Identity-Aware Proxy API for SSH access. Then configure the Compute Engine servers with private IP addresses behind an HTTP(s) load balancer for the application web traffic.
D. Configure the firewall rules to allow all ingress traffic to connect to the Compute Engine web servers, with each server having a unique external IP address.

Answer: C

Explanation:
This document describes how to connect to a virtual machine (VM) instance through its internal IP address, using Identity-Aware Proxy (IAP) TCP forwarding.
https://cloud.google.com/compute/docs/connect/ssh-using-iap

NEW QUESTION # 104
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