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Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q198-Q203):

NEW QUESTION # 198
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 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.
D. Perform the following:
1) Create a Kubernetes Engine 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.

Answer: D

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

NEW QUESTION # 199
For this question, refer to the Dress4Win case study. You want to ensure that your on-premises architecture meets business requirements before you migrate your solution.
What change in the on-premises architecture should you make?

A. Downgrade MySQL to v5.7, which is supported by Cloud SQL for MySQL.
B. Containerize the micro services and host them in Google Kubernetes Engine.
C. Replace RabbitMQ with Google Pub/Sub.
D. Resize compute resources to match predefined Compute Engine machine types.

Answer: D

NEW QUESTION # 200
Your company has a stateless web API that performs scientific calculations. The web API runs on a single Google Kubernetes Engine (GKE) cluster. The cluster is currently deployed in us-central1. Your company has expanded to offer your API to customers in Asia. You want to reduce the latency for the users in Asia.
What should you do?

A. Increase the memory and CPU allocated to the application in the cluster
B. Create a second GKE cluster in asia-southeast1, and expose both API's using a Service of type Load Balancer. Add the public Ips to the Cloud DNS zone
C. Create a second GKE cluster in asia-southeast1, and use kubemci to create a global HTTP(s) load balancer
D. Use a global HTTP(s) load balancer with Cloud CDN enabled

Answer: C

Explanation:
https://cloud.google.com/kubernetes-engine/docs/concepts/multi-cluster-ingress#how_works
https://github.com/GoogleCloudPlatform/k8s-multicluster-ingress
https://cloud.google.com/blog/products/gcp/how-to-deploy-geographically-distributed-services-on-kubernetes-e

NEW QUESTION # 201
A development manager is building a new application. He asks you to review his requirements and identify what cloud technologies he can use to meet them. The application must:
1. Be based on open-source technology for cloud portability
2. Dynamically scale compute capacity based on demand
3. Support continuous software delivery
4. Run multiple segregated copies of the same application stack
5. Deploy application bundles using dynamic templates
6. Route network traffic to specific services based on URL
Which combination of technologies will meet all of his requirements?

A. Google Kubernetes Engine, Jenkins, and Helm
B. Google Kubernetes Engine and Cloud Deployment Manager
C. Google Kubernetes Engine and Cloud Load Balancing
D. Google Kubernetes Engine, Jenkins, and Cloud Load Balancing

Answer: D

Explanation:
Jenkins is an open-source automation server that lets you flexibly orchestrate your build, test, and deployment pipelines. Kubernetes Engine is a hosted version of Kubernetes, a powerful cluster manager and orchestration system for containers.
When you need to set up a continuous delivery (CD) pipeline, deploying Jenkins on Kubernetes Engine provides important benefits over a standard VM-based deployment Incorrect Answers:
A: Helm is a tool for managing Kubernetes charts. Charts are packages of pre-configured Kubernetes resources.
Use Helm to:
* Find and use popular software packaged as Kubernetes charts
* Share your own applications as Kubernetes charts
* Create reproducible builds of your Kubernetes applications
* Intelligently manage your Kubernetes manifest files
* Manage releases of Helm packages
Reference: https://cloud.google.com/solutions/jenkins-on-kubernetes-engine

NEW QUESTION # 202
A development manager is building a new application. He asks you to review his requirements and identify what cloud technologies he can use to meet them. The application must:
Be based on open-source technology for cloud portability
Dynamically scale compute capacity based on demand
Support continuous software delivery
Run multiple segregated copies of the same application stack
Deploy application bundles using dynamic templates
Route network traffic to specific services based on URL
Which combination of technologies will meet all of his requirements?

A. Google Compute Engine, Jenkins, and Cloud Load Balancing
B. Google Compute Engine and Cloud Deployment Manager
C. Google Container Engine and Cloud Load Balancing
D. Google Container Engine, Jenkins, and Helm

Answer: A

Explanation:
Explanation/Reference:
Explanation:
Jenkins is an open-source automation server that lets you flexibly orchestrate your build, test, and deployment pipelines. Kubernetes Engine is a hosted version of Kubernetes, a powerful cluster manager and orchestration system for containers.
When you need to set up a continuous delivery (CD) pipeline, deploying Jenkins on Kubernetes Engine provides important benefits over a standard VM-based deployment Incorrect Answers:
A: Helm is a tool for managing Kubernetes charts. Charts are packages of pre-configured Kubernetes resources.
Use Helm to:
Find and use popular software packaged as Kubernetes charts

Share your own applications as Kubernetes charts

Create reproducible builds of your Kubernetes applications

Intelligently manage your Kubernetes manifest files

Manage releases of Helm packages

References: https://cloud.google.com/solutions/jenkins-on-kubernetes-engine

NEW QUESTION # 203
......

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Hot Online Professional-Cloud-Architect Tests 100% Pass | High-quality Professional-Cloud-Architect Exams Training: Google Certified Professional - Cloud Architect (GCP)

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Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q198-Q203):

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