Associate-Cloud-Engineer질문과답 & Associate-Cloud-Engineer최신시험예상문제모음

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Google Associate-Cloud-Engineer Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Ensuring Successful Operation15-20%- Managing Kubernetes Engine resources
  • 1. Upgrading clusters
  • 2. Scaling clusters and node pools
  • 3. Managing workloads (Deployments, Services, HPA)
- Managing Compute Engine resources
  • 1. Resizing instances and persistent disks
  • 2. Managing instances, disks, and snapshots
  • 3. Attaching and detaching disks
- Managing Cloud Run resources
  • 1. Managing revisions and traffic splitting
  • 2. Configuring resource limits
- Managing storage and data solutions
  • 1. Setting lifecycle policies
  • 2. Managing Cloud Storage buckets and objects
  • 3. Configuring CORS and encryption
- Managing logging and monitoring
  • 1. Viewing and analyzing logs
  • 2. Creating metrics and alerts
  • 3. Using Cloud Monitoring and Logging
Topic 2: Planning and Configuring a Cloud Solution20-25%- Planning and configuring data storage options
  • 1. Choosing between Cloud Storage, Filestore, Persistent Disk
  • 2. Selecting appropriate storage classes
- Planning and configuring compute resources
  • 1. Selecting appropriate machine types and zones
  • 2. Configuring persistent disks and local SSDs
- Planning and estimating GCP product usage
  • 1. Using GCP Pricing Calculator
  • 2. Reading documentation for compute, storage, and network resources
- Planning and configuring network resources
  • 1. Configuring load balancing and firewall rules
  • 2. Designing VPC networks
Topic 3: Configuring Access and Security15-20%- Managing IAM resources
  • 1. Defining custom IAM roles
  • 2. Creating and managing IAM roles
  • 3. Applying IAM policies to resources
- Managing service accounts
  • 1. Using service account keys
  • 2. Creating and managing service accounts
  • 3. Assigning service accounts to resources
- Viewing audit logs
  • 1. Configuring audit log policies
  • 2. Accessing and analyzing Cloud Audit Logs
Topic 4: Deploying and Implementing a Cloud Solution20-25%- Deploying and managing Kubernetes Engine resources
  • 1. Creating and managing GKE clusters
  • 2. Deploying workloads with Deployments and Services
  • 3. Configuring kubectl for cluster access
- Deploying and managing Cloud Run resources
  • 1. Deploying containerized applications to Cloud Run
  • 2. Configuring memory limits and scaling settings
- Deploying and managing Cloud Functions
  • 1. Configuring triggers and environment variables
  • 2. Creating and triggering Cloud Functions
- Deploying and managing Compute Engine resources
  • 1. Creating and managing instances with startup scripts
  • 2. Creating and managing managed instance groups
  • 3. Creating and managing custom machine types
- Deploying applications with Cloud Deployment Manager
  • 1. Creating deployment configurations
  • 2. Using templates for resource provisioning
Topic 5: Setting Up a Cloud Solution Environment20-25%- Managing billing configuration
  • 1. Setting up budget alerts and notifications
  • 2. Linking billing to projects
  • 3. Creating billing accounts
- Setting up cloud projects and accounts
  • 1. Creating and managing projects
  • 2. Managing billing budgets and alerts
  • 3. Assigning IAM roles to users and groups

>> Associate-Cloud-Engineer질문과 답 <<

Associate-Cloud-Engineer최신 시험 예상문제모음 & Associate-Cloud-Engineer퍼펙트 덤프샘플 다운로드

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최신 Google Cloud Certified Associate-Cloud-Engineer 무료샘플문제 (Q281-Q286):

질문 # 281
You are the team lead of a group of 10 developers. You provided each developer with an individual Google Cloud Project that they can use as their personal sandbox to experiment with different Google Cloud solutions.
You want to be notified if any of the developers are spending above $500 per month on their sandbox environment. What should you do?

정답：D

설명：
Set budgets and budget alerts Overview Avoid surprises on your bill by creating Cloud Billing budgets to monitor all of your Google Cloud charges in one place. A budget enables you to track your actual Google Cloud spend against your planned spend. After you've set a budget amount, you set budget alert threshold rules that are used to trigger email notifications. Budget alert emails help you stay informed about how your spend is tracking against your budget. 2. Set budget scope Set the budget Scope and then click Next. In the Projects field, select one or more projects that you want to apply the budget alert to. To apply the budget alert to all the projects in the Cloud Billing account, choose Select all.
https://cloud.google.com/billing/docs/how-to/budgets#budget-scop


질문 # 282
You have developed a containerized web application that will serve Internal colleagues during business hours. You want to ensure that no costs are incurred outside of the hours the application is used. You have just created a new Google Cloud project and want to deploy the application. What should you do?

정답：B


질문 # 283
You need to manage a Cloud Spanner Instance for best query performance. Your instance in production runs in a single Google Cloud region. You need to improve performance in the shortest amount of time. You want to follow Google best practices for service configuration. What should you do?

정답：C

설명：
https://cloud.google.com/spanner/docs/cpu-utilization#recommended-max


질문 # 284
You created an instance of SQL Server 2017 on Compute Engine to test features in the new version. You want to connect to this instance using the fewest number of steps.
What should you do?

정답：B

설명：
Option D is easier as long there is no need to install RDP client as per google docs.
https://cloud.google.com/compute/docs/instances/connecting-to-instance#windows_gui From Google documentation "Before you connect using the Microsoft Remote Desktop Connection app, make sure that one of the following prerequisites is met:
Your VM instance has a public IP address and your firewall rules allow TCP ingress traffic from your client's public IP address to the instance by using port 3389.
Your local network is connected to your VPC by using VPN or Cloud Interconnect and your firewall rules allow TCP ingress traffic from your client's private IP address to the instance by using port 3389."
https://cloud.google.com/compute/docs/instances/connecting-toinstance#remote-desktop- connection-app


질문 # 285
You are creating a Kubernetes Engine cluster to deploy multiple pods inside the cluster. All container logs must be stored in BigQuery for later analysis. You want to follow Google- recommended practices. Which two approaches can you take?

정답：A,B

설명：
A Is correct because creating a cluster with Stackdriver Logging option will enable all the container logs to be stored in Stackdriver Logging.
B Is not correct because creating a cluster with Stackdriver Monitoring option will enable monitoring metrics to be gathered, but it has nothing to do with logging.
C is not correct, because even if you can develop a Kubernetes addon that will send logs to BigQuery, this is not a Google-recommended practice.
D is incorrect because this is not a Google recommended practice.
E Is correct because Stackdriver Logging support exporting logs to BigQuery by creating sinks (see links below).
https://cloud.google.com/kubernetes-engine/docs/how-to/logging
https://cloud.google.com/logging/docs/export/configure_export_v2
https://kubernetes.io/docs/reference/labels-annotations-taints/


질문 # 286
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