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Google Professional-Cloud-Architect Exam | Professional-Cloud-Architect Reliable Test Vce - PDF Download Free of Professional-Cloud-Architect Guide Torrent

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To be eligible for the Professional-Cloud-Architect Exam, candidates must have a minimum of three years of industry experience, with at least one year of experience designing and managing cloud solutions using GCP. Candidates should also have a deep understanding of cloud computing concepts, such as virtualization, containerization, networking, security, and compliance.

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Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q185-Q190):

NEW QUESTION # 185
Your organization has a 3-tier web application deployed in the same network on Google Cloud Platform. Each tier (web, API, and database) scales independently of the others Network traffic should flow through the web to the API tier and then on to the database tier. Traffic should not flow between the web and the database tier.
How should you configure the network?

A. Set up software based firewalls on individual VMs.
B. Add tags to each tier and set up routes to allow the desired traffic flow.
C. Add tags to each tier and set up firewall rules to allow the desired traffic flow.
D. Add each tier to a different subnetwork.

Answer: C

Explanation:
Explanation
https://aws.amazon.com/blogs/aws/building-three-tier-architectures-with-security-groups/ Google Cloud Platform(GCP) enforces firewall rules through rules and tags. GCP rules and tags can be defined once and used across all regions.
References: https://cloud.google.com/docs/compare/openstack/
https://aws.amazon.com/it/blogs/aws/building-three-tier-architectures-with-security-groups/

NEW QUESTION # 186
Your application needs to process credit card transactions. You want the smallest scope of Payment Card Industry (PCI) compliance without compromising the ability to analyze transactional data and trends relating to which payment methods are used. How should you design your architecture?

A. Create separate projects that only process credit card data.
B. Enable Logging export to Google BigQuery and use ACLs and views to scope the data shared with the auditor.
C. Create a tokenizer service and store only tokenized data.
D. Create separate subnetworks and isolate the components that process credit card data.
E. Streamline the audit discovery phase by labeling all of the virtual machines (VMs) that process PCI data.

Answer: C

Explanation:
https://cloud.google.com/solutions/pci-dss-compliance-in-gcp

NEW QUESTION # 187
Mountkirk Games wants to limit the physical location of resources to their operating Google Cloud regions.
What should you do?

A. Configure IAM conditions to limit what resources can be configured.
B. Configure an organizational policy which constrains where resources can be deployed.
C. Configure a custom alert in Cloud Monitoring so you can disable resources as they are created in other regions.
D. Configure the quotas for resources in the regions not being used to 0.

Answer: D

NEW QUESTION # 188
You are tasked with building an online analytical processing (OLAP) marketing analytics and reporting tool. This requires a relational database that can operate on hundreds of terabytes of data. What is the Google- recommended tool for such applications?

A. Cloud Spanner, because it is globally distributed
B. BigQuery, because it is designed for large-scale processing of tabular data
C. Cloud SQL, because it is a fully managed relational database
D. Cloud Firestore, because it offers real-time synchronization across devices

Answer: B

Explanation:
Explanation
Explanation/Reference: https://cloud.google.com/files/BigQueryTechnicalWP.pdf

NEW QUESTION # 189
You have a Python web application with many dependencies that requires 0.1 CPU cores and 128 MB of memory to operate in production. You want to monitor and maximize machine utilization. You also to reliably deploy new versions of the application. Which set of steps should you take?

A. Perform the following:
1) Create a managed instance group with f1-micro type machines.
2) Use a startup script to clone the repository, check out the production branch, install the dependencies, and start the Python app.
3) Restart the instances to automatically deploy new production releases.
B. Perform the following:
1) Create a Kubernetes Engine cluster with n1-standard-1 type machines.
2) Build a Docker image from the production branch with all of the dependencies, and tag it with the
3) Create a Kubernetes Deployment with the imagePullPolicy set to "IfNotPresent" in the staging namespace, and then promote it to the production namespace after testing.
C. Perform the following:
1) Create a Kubernetes Engine (GKE) cluster with n1-standard-4 type machines.
2) Build a Docker image from the master branch will all of the dependencies, and tag it with "latest".
3) Create a Kubernetes Deployment in the default namespace with the imagePullPolicy set to "Always".
Restart the pods to automatically deploy new production releases.
D. Perform the following:
1) Create a managed instance group with n1-standard-1 type machines.
2) Build a Compute Engine image from the production branch that contains all of the dependencies and automatically starts the Python app.
3) Rebuild the Compute Engine image, and update the instance template to deploy new production releases.

Answer: C

Explanation:
https://cloud.google.com/compute/docs/instance-templates

NEW QUESTION # 190
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