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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
Real Exam Qty:	Approximately 50–60 questions
Exam Price:	$200 USD (may vary by region and taxes)
Related Certifications:	Google Cloud Certified - Associate Cloud Engineer Google Cloud Certified - Professional Cloud Architect
Available Languages:	Japanese, English
Exam Duration:	120 minutes
Exam Format:	Multiple select, Case study, Multiple choice
Certificate Validity Period:	2 years
Recommended Training:	Google Cloud Skills Boost - Professional Cloud Developer Official Google Cloud Certification Training Path
Exam Registration:	Kryterion Webassessor Portal Official Google Cloud Certification Registration
Sample Questions:	Google Professional-Cloud-Developer Sample Questions
Exam Way:	Online proctored exam (remote) or onsite test center via Kryterion Webassessor
Pre Condition:	No formal prerequisites required. Recommended: 3+ years industry experience including 1+ year designing and managing solutions on Google Cloud.
Official Syllabus URL:	https://cloud.google.com/certification/cloud-developer

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Google Professional-Cloud-Developer certification exam is a challenging and rewarding way for developers to demonstrate their expertise in developing applications on the Google Cloud Platform. By passing the exam, developers can prove their skills and knowledge to employers and clients, open up new job opportunities, and increase their earning potential.

To prepare for the exam, candidates can take advantage of Google's official training resources, including online courses, practice labs, and documentation. Additionally, Google offers a certification handbook that provides an overview of the exam's structure, study tips, and sample questions. Passing the Professional-Cloud-Developer Exam demonstrates a developer's ability to build and deploy robust, scalable, and secure cloud-based applications using Google Cloud Platform, making them a valuable asset to any organization using Google technologies.

Google Certified Professional - Cloud Developer Sample Questions (Q221-Q226):

NEW QUESTION # 221
You are building a new API. You want to minimize the cost of storing and reduce the latency of serving images.
Which architecture should you use?

A. Cloud Content Delivery Network (CDN) backed by Cloud Storage
B. Compute Engine backed by Persistent Disk
C. App Engine backed by Cloud Storage
D. Transfer Appliance backed by Cloud Filestore

Answer: A

Explanation:
D seems more suitable as Cloud Storage has low cost and CDN provides low serving latency.

NEW QUESTION # 222
You manage an ecommerce application that processes purchases from customers who can subsequently cancel or change those purchases. You discover that order volumes are highly variable and the backend order-processing system can only process one request at a time. You want to ensure seamless performance for customers regardless of usage volume. It is crucial that customers' order update requests are performed in the sequence in which they were generated. What should you do?

A. Use a Pub/Sub subscriber in push mode and use a data store to manage ordering.
B. Send the purchase and change requests over WebSockets to the backend.
C. Send the purchase and change requests as REST requests to the backend.
D. Use a Pub/Sub subscriber in pull mode and use a data store to manage ordering.

Answer: D

Explanation:
Explanation
https://cloud.google.com/pubsub/docs/pull

NEW QUESTION # 223
You are developing an event-driven application. You have created a topic to receive messages sent to Pub/Sub. You want those messages to be processed in real time. You need the application to be independent from any other system and only incur costs when new messages arrive. How should you configure the architecture?

A. Deploy your code on Cloud Functions. Use a Pub/Sub trigger to invoke the Cloud Function. Use the Pub/Sub API to create a pull subscription to the Pub/Sub topic and read messages from it.
B. Deploy the application on Google Kubernetes Engine. Use the Pub/Sub API to create a pull subscription to the Pub/Sub topic and read messages from it.
C. Deploy your code on Cloud Functions. Use a Pub/Sub trigger to handle new messages in the topic.
D. Deploy the application on Compute Engine. Use a Pub/Sub push subscription to process new messages in the topic.

Answer: C

Explanation:
https://cloud.google.com/functions/docs/calling/pubsub
We selected D based on our experience with Cloud Functions and the material at the URL above.
Since messages can be obtained from Cloud Functions arguments, we are not aware of the description of Subscription.

NEW QUESTION # 224
You are configuring a continuous integration pipeline using Cloud Build to automate the deployment of new container images to Google Kubernetes Engine (GKE). The pipeline builds the application from its source code, runs unit and integration tests in separate steps, and pushes the container to Container Registry. The application runs on a Python web server.
The Dockerfile is as follows:
FROM python:3.7-alpine -
COPY . /app -
WORKDIR /app -
RUN pip install -r requirements.txt
CMD [ "gunicorn", "-w 4", "main:app" ]
You notice that Cloud Build runs are taking longer than expected to complete. You want to decrease the build time. What should you do? (Choose two.)

A. Change the base image in the Dockerfile to ubuntu:latest, and install Python 3.7 using a package manager utility.
B. Cache the Docker image for subsequent builds using the -- cache-from argument in your build config file.
C. Deploy a Container Registry on a Compute Engine VM in a VPC, and use it to store the final images.
D. Select a virtual machine (VM) size with higher CPU for Cloud Build runs.
E. Store application source code on Cloud Storage, and configure the pipeline to use gsutil to download the source code.

Answer: B,D

Explanation:
https://cloud.google.com/build/docs/optimize-builds/increase-vcpu-for-builds By default, Cloud Build runs your builds on a standard virtual machine (VM). In addition to the standard VM, Cloud Build provides several high-CPU VM types to run builds. To increase the speed of your build, select a machine with a higher vCPU to run builds. Keep in mind that although selecting a high vCPU machine increases your build speed, it may also increase the startup time of your build as Cloud Build only starts non-standard machines on demand.
https://cloud.google.com/build/docs/optimize-builds/speeding-up-builds#using_a_cached_docker_image The easiest way to increase the speed of your Docker image build is by specifying a cached image that can be used for subsequent builds. You can specify the cached image by adding the --cache-from argument in your build config file, which will instruct Docker to build using that image as a cache source.

NEW QUESTION # 225
You have deployed an HTTP(s) Load Balancer with the gcloud commands shown below.

Health checks to port 80 on the Compute Engine virtual machine instance are failing and no traffic is sent to your instances. You want to resolve the problem.
Which commands should you run?

A. gcloud compute instances add-access-config ${NAME}-backend-instance-1
B. gcloud compute instances add-tags ${NAME}-backend-instance-1 --tags http-server
C. gcloud compute firewall-rules create allow-lb --network load-balancer --allow tcp --source-ranges 130.211.0.0/22,35.191.0.0/16 --direction INGRESS
D. gcloud compute firewall-rules create allow-lb --network load-balancer --allow tcp --destination-ranges 130.211.0.0/22,35.191.0.0/16 --direction EGRESS

Answer: C

NEW QUESTION # 226
......

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