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Section 4: Integrating Google Cloud Services

The aim of this domain is to evaluate the learners based on their capacity to integrate an app with storage & data services, integrate an app with compute services, as well as integrate Cloud APIs with apps.

Google Professional-Cloud-Developer exam is designed to test the candidate's proficiency in developing and implementing cloud-based solutions on the Google Cloud Platform. Professional-Cloud-Developer Exam is ideal for individuals who have experience in programming languages like Java, Python, and Node.js, and who wish to enhance their skills and knowledge in cloud computing. Google Certified Professional - Cloud Developer certification demonstrates the candidate's proficiency in developing cloud-based applications on the Google Cloud Platform and is a valuable asset for their career growth.

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Google Professional-Cloud-Developer certification exam is designed to test the skills and knowledge of cloud developers who work with the Google Cloud Platform. As cloud computing becomes increasingly important in today's technology landscape, the demand for qualified cloud developers is growing, and this certification is a way for individuals to demonstrate their proficiency in this area. Professional-Cloud-Developer Exam covers a wide range of topics, including cloud architecture, programming languages, data storage, and security.

Google Certified Professional - Cloud Developer Sample Questions (Q281-Q286):

NEW QUESTION # 281
You have containerized a legacy application that stores its configuration on an NFS share. You need to deploy this application to Google Kubernetes Engine (GKE) and do not want the application serving traffic until after the configuration has been retrieved. What should you do?

A. Use the COPY statement in the Dockerfile to load the configuration into the container image. Verify that the configuration is available, and start the service using an ENTRYPOINT script.
B. Add a startup script to the GKE instance group to mount the NFS share at node startup. Copy the configuration files into the container, and start the service using an ENTRYPOINT script.
C. Use the gsutil utility to copy files from within the Docker container at startup, and start the service using an ENTRYPOINT script.
D. Create a PersistentVolumeClaim on the GKE cluster. Access the configuration files from the volume, and start the service using an ENTRYPOINT script.

Answer: D

NEW QUESTION # 282
Your team is using App Engine to write every Cloud Pub/Sub message to both a Cloud Storage object and a BigQuery table. You want to achieve the greatest resource efficiency. Which architecture should you implement?

A. B
B. C
C. A
D. D

Answer: D

Explanation:
A is not correct because this will write half the messages to BigQuery and half to Cloud Storage, which doesn't meet the need.
B is correct because each App Engine service will get its own message to write and can retry/fail independently.
C is not correct because a failure in processing the message to one system can cause duplicate writes to BigQuery or Google Cloud Storage.
D is not correct because it duplicates the message send charges and requires that the message be sent twice to two different topics, which increases costs and complexities on the client.

NEW QUESTION # 283
You are deploying your application to a Compute Engine virtual machine instance with the Stackdriver Monitoring Agent installed. Your application is a unix process on the instance. You want to be alerted if the unix process has not run for at least 5 minutes. You are not able to change the application to generate metrics or logs.
Which alert condition should you configure?

A. Uptime check
B. Process health
C. Metric threshold
D. Metric absence

Answer: B

Explanation:
Reference: https://cloud.google.com/monitoring/alerts/concepts-indepth

NEW QUESTION # 284
You are developing a corporate tool on Compute Engine for the finance department, which needs to authenticate users and verify that they are in the finance department. All company employees use G Suite.
What should you do?

A. Enable Cloud Identity-Aware Proxy on the HTTP(s) load balancer and restrict access to a Google Group containing users in the finance department. Issue client-side certificates to everybody in the finance team and verify the certificates in the application.
B. Configure Cloud Armor Security Policies to restrict access to only corporate IP address ranges. Verify the provided JSON Web Token within the application.
C. Enable Cloud Identity-Aware Proxy on the HTTP(s) load balancer and restrict access to a Google Group containing users in the finance department. Verify the provided JSON Web Token within the application.
D. Configure Cloud Armor Security Policies to restrict access to only corporate IP address ranges. Issue client side certificates to everybody in the finance team and verify the certificates in the application.

Answer: C

Explanation:
https://cloud.google.com/iap/docs/signed-headers-howto#securing_iap_headers (https://cloud.google.com/endpoints/docs/openapi/authenticating-users-google-id).
https://cloud.google.com/armor/docs/security-policy-overview#:~:text=Google%20Cloud%20Armor%20security
"Google Cloud Armor security policies protect your application by providing Layer 7 filtering and by scrubbing incoming requests for common web attacks or other Layer 7 attributes to potentially block traffic before it reaches your load balanced backend services or backend buckets"

NEW QUESTION # 285
Your application is running on Compute Engine and is showing sustained failures for a small number of requests. You have narrowed the cause down to a single Compute Engine instance, but the instance is unresponsive to SSH.
What should you do next?

A. Enable and check the serial port output.
B. Delete the machine and create a new one.
C. Take a snapshot of the disk and attach it to a new machine.
D. Reboot the machine.

Answer: D

NEW QUESTION # 286
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