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Pass Guaranteed Quiz 2025 Professional-Cloud-Architect: Trustable Google Certified Professional - Cloud Architect (GCP) Vce Torrent

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Google Professional-Cloud-Architect Certification Exam is a highly sought-after certification that validates the skills and expertise of professionals in designing, developing, and managing secure, scalable, and highly available cloud solutions using Google Cloud Platform (GCP). Professional-Cloud-Architect Exam is intended for individuals who have a deep understanding of GCP services and can design highly scalable and reliable cloud solutions that meet the business and technical requirements of organizations.

Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q276-Q281):

NEW QUESTION # 276
One of the developers on your team deployed their application in Google Container Engine with the Dockerfile below. They report that their application deployments are taking too long.

You want to optimize this Dockerfile for faster deployment times without adversely affecting the app's functionality.
Which two actions should you take? Choose 2 answers.

A. Copy the source after the package dependencies (Python and pip) are installed.
B. Use larger machine types for your Google Container Engine node pools.
C. Use a slimmed-down base image like Alpine linux.
D. Remove Python after running pip.
E. Remove dependencies from requirements.txt.

Answer: A,C

Explanation:
Explanation
The speed of deployment can be changed by limiting the size of the uploaded app, limiting the complexity of the build necessary in the Dockerfile, if present, and by ensuring a fast and reliable internet connection.
Note: Alpine Linux is built around musl libc and busybox. This makes it smaller and more resource efficient than traditional GNU/Linux distributions. A container requires no more than 8 MB and a minimal installation to disk requires around 130 MB of storage. Not only do you get a fully-fledged Linux environment but a large selection of packages from the repository.
References: https://groups.google.com/forum/#!topic/google-appengine/hZMEkmmObDU
https://www.alpinelinux.org/about/

NEW QUESTION # 277
For this question, refer to the TerramEarth case study. A new architecture that writes all incoming data to
BigQuery has been introduced. You notice that the data is dirty, and want to ensure data quality on an
automated daily basis while managing cost.
What should you do?

A. Set up a streaming Cloud Dataflow job, receiving data by the ingestion process. Clean the data in a
Cloud Dataflow pipeline.
B. Create a Cloud Function that reads data from BigQuery and cleans it. Trigger it. Trigger the Cloud
Function from a Compute Engine instance.
C. Use Cloud Dataprep and configure the BigQuery tables as the source. Schedule a daily job to clean the
data.
D. Create a SQL statement on the data in BigQuery, and save it as a view. Run the view daily, and save
the result to a new table.

Answer: C

NEW QUESTION # 278
Your web application must comply with the requirements of the European Union's General Data Protection Regulation (GDPR). You are responsible for the technical architecture of your web application. What should you do?

A. Define a design for the security of data in your web application that meets GDPR requirements.
B. Ensure that Cloud Security Scanner is part of your test planning strategy in order to pick up any compliance gaps.
C. Ensure that your web application only uses native features and services of Google Cloud Platform, because Google already has various certifications and provides "pass-on" compliance when you use native features.
D. Enable the relevant GDPR compliance setting within the GCPConsole for each of the services in use within your application.

Answer: A

Explanation:
https://www.mobiloud.com/blog/gdpr-compliant-mobile-app/

NEW QUESTION # 279
Your company just finished a rapid lift and shift to Google Compute Engine for your compute needs. You have another 9 months to design and deploy a more cloud-native solution. Specifically, you want a system that is no-ops and auto-scaling. Which two compute products should you choose? Choose 2 answers

A. Compute Engine with containers
B. Google Kubernetes Engine with containers
C. Compute Engine with managed instance groups
D. Google App Engine Standard Environment
E. Compute Engine with custom instance types

Answer: B,D

Explanation:
Explanation
B: With Container Engine, Google will automatically deploy your cluster for you, update, patch, secure the nodes.
Kubernetes Engine's cluster autoscaler automatically resizes clusters based on the demands of the workloads you want to run.
C: Solutions like Datastore, BigQuery, AppEngine, etc are truly NoOps.
App Engine by default scales the number of instances running up and down to match the load, thus providing consistent performance for your app at all times while minimizing idle instances and thus reducing cost.
Note: At a high level, NoOps means that there is no infrastructure to build out and manage during usage of the platform. Typically, the compromise you make with NoOps is that you lose control of the underlying infrastructure.
References:
https://www.quora.com/How-well-does-Google-Container-Engine-support-Google-Cloud-Platform%E2%80%99

NEW QUESTION # 280
For this question, refer to the JencoMart case study
A few days after JencoMart migrates the user credentials database to Google Cloud Platform and shuts down the old server, the new database server stops responding to SSH connections. It is still serving database requests to the application servers correctly. What three steps should you take to diagnose the problem? Choose 3 answers

A. Connect the machine to another network with very simple firewall rules and investigate.
B. Take a snapshot of the disk and connect to a new machine to investigate.
C. Check inbound firewall rules for the network the machine is connected to.
D. Delete the instance, attach the disk to a new VM, and investigate.
E. Delete the virtual machine (VM) and disks and create a new one.
F. Print the Serial Console output for the instance for troubleshooting, activate the interactive console, and investigate.

Answer: B,C,F

Explanation:
D: Handling "Unable to connect on port 22" error message
Possible causes include:
There is no firewall rule allowing SSH access on the port. SSH access on port 22 is enabled on all Compute Engine instances by default. If you have disabled access, SSH from the Browser will not work. If you run sshd on a port other than 22, you need to enable the access to that port with a custom firewall rule.
The firewall rule allowing SSH access is enabled, but is not configured to allow connections from GCP Console services. Source IP addresses for browser-based SSH sessions are dynamically allocated by GCP Console and can vary from session to session.
References:
https://cloud.google.com/compute/docs/ssh-in-browser
https://cloud.google.com/compute/docs/ssh-in-browser
Reference:
https://cloud.google.com/compute/docs/troubleshooting/troubleshooting-ssh

NEW QUESTION # 281
......

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