実際的なAssociate-Cloud-Engineer試験感想 &合格スムーズAssociate-Cloud-Engineer模擬モード |実用的なAssociate-Cloud-Engineer試験問題集

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Google Associate-Cloud-Engineer Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Configuring access and security15%- Managing IAM roles and permissions
- Securing data and services
Topic 2: Ensuring successful operation of a cloud solution20%- Monitoring and logging
- Managing cloud resources
Topic 3: Planning and configuring a cloud solution25%- Configuring storage and database solutions
- Configuring compute resources
Topic 4: Setting up a cloud solution environment20%- Managing billing and identity access
- Setting up cloud projects and accounts
Topic 5: Deploying and implementing a cloud solution20%- Deploying applications and services
- Implementing networking components

>> Associate-Cloud-Engineer試験感想 <<

Associate-Cloud-Engineer模擬モード & Associate-Cloud-Engineer試験問題集

ShikenPASS世界は急速に変化しており、Google従業員に対する要件はこれまでになく高くなっています。 理想的な仕事を見つけて高収入を得たい場合は、優れた労働能力と深い知識を高めなければなりません。 Associate-Cloud-EngineerのGoogle Associate Cloud Engineer Exam認定に合格すると、夢を実現できます。 製品を購入すると、最高のGoogle Associate Cloud Engineer Exam学習教材が提供され、Google Associate Cloud Engineer Exam認定の取得に役立ちます。 当社の製品は高品質であり、当社のサービスは完璧です。

Google Associate Cloud Engineer Exam 認定 Associate-Cloud-Engineer 試験問題 (Q342-Q347):

質問 # 342
Your company developed a mobile game that is deployed on Google Cloud. Gamers are connecting to the game with their personal phones over the Internet. The game sends UDP packets to update the servers about the gamers' actions while they are playing in multiplayer mode. Your game backend can scale over multiple virtual machines (VMs), and you want to expose the VMs over a single IP address. What should you do?

正解:B

解説:
cell phones are sending UDP packets and the only that can receive that type of traffic is a External Network TCP/UDP https://cloud.google.com/load-balancing/docs/network
https://cloud.google.com/load-balancing/docs/choosing-load-balancer#lb-decision-tree


質問 # 343
After a recent security incident, your startup company wants better insight into what is happening in the Google Cloud environment. You need to monitor unexpected firewall changes and instance creation. Your company prefers simple solutions. What should you do?

正解:C

解説:
This answer is the simplest and most effective way to monitor unexpected firewall changes and instance creation in Google Cloud. Cloud Logging filters allow you to specify the criteria for the log entries that you want to view or export. You can use the Logging query language to write filters based on the LogEntry fields, such as resource.type, severity, or protoPayload.methodName. For example, you can filter for firewall-related events by using the following query:
resource.type="gce_subnetwork"
logName="projects/PROJECT_ID/logs/compute.googleapis.com%2Ffirewall"
You can filter for instance-related events by using the following query:
resource.type="gce_instance"
logName="projects/PROJECT_ID/logs/compute.googleapis.com%2Factivity_log" You can create log-based metrics from these filters to measure the rate or count of log entries that match the filter. Log-based metrics can be used to create charts and dashboards in Cloud Monitoring, or to set up alerts based on the metric values. For example, you can create an alert policy that triggers when the log-based metric for firewall changes exceeds a certain threshold in a given time interval. This way, you can get notified of any unexpected or malicious changes to your firewall rules.
Option B is incorrect because it is unnecessarily complex and costly. Installing Kibana on a compute instance requires additional configuration and maintenance. Creating a log sink to forward Cloud Audit Logs to Pub/Sub also incurs additional charges for the Pub/Sub service. Analyzing the logs on Kibana in real time may not be feasible or efficient, as it requires constant monitoring and manual intervention.
Option C is incorrect because Google Cloud firewall rules logging is a different feature from Cloud Audit Logs. Firewall rules logging allows you to audit, verify, and analyze the effects of your firewall rules by creating connection records for each rule that applies to traffic. However, firewall rules logging does not log the insert, update, or delete events for the firewall rules themselves. Those events are logged by Cloud Audit Logs, which record the administrative activities in your Google Cloud project.
Option D is incorrect because it is not a real-time solution. Creating a log sink to forward Cloud Audit Logs to Cloud Storage requires additional storage space and charges. Using BigQuery to periodically analyze log events in the storage bucket also incurs additional costs for the BigQuery service. Moreover, this option does not provide any alerting mechanism to notify you of any unexpected or malicious changes to your firewall rules or instances.


質問 # 344
Your team has developed a stateless application which requires it to be run directly on virtual machines. The application is expected to receive a fluctuating amount of traffic and needs to scale automatically. You need to deploy the application. What should you do?

正解:C

解説:
A managed instance group (MIG) is a group of identical virtual machines (VMs) that you can manage as a single entity. You can use a MIG to deploy and maintain a stateless application that runs directly on VMs. A MIG can automatically scale the number of VMs based on the load or a schedule. A MIG can also automatically heal the VMs if they become unhealthy or unavailable. A MIG is suitable for applications that need to run on VMs rather than containers or serverless platforms.
B is incorrect because Kubernetes Engine is a managed service for running containerized applications on a cluster of nodes. It is not necessary to use Kubernetes Engine if the application does not use containers and can run directly on VMs.
C is incorrect because Cloud Functions is a serverless platform for running event-driven code in response to triggers. It is not suitable for applications that need to run continuously and handle HTTP requests.
D is incorrect because Cloud Run is a serverless platform for running stateless containerized applications. It is not suitable for applications that do not use containers and can run directly on VMs.
Reference:
Managed instance groups documentation
Choosing a compute option for Google Cloud


質問 # 345
You create a Deployment with 2 replicas in a Google Kubernetes Engine cluster that has a single preemptible node pool. After a few minutes, you use kubectl to examine the status of your Pod and observe that one of them is still in Pending status:

What is the most likely cause?

正解:A


質問 # 346
You are using multiple configurations for gcloud. You want to review the configured Kubernetes Engine cluster of an inactive configuration using the fewest possible steps. What should you do?

正解:C

解説:
Reference:
kubectl config view -o jsonpath='{.users[].name}' # display the first user kubectl config view -o jsonpath='{.users[*].name}' # get a list of users kubectl config get-contexts # display list of contexts kubectl config current-context # display the current-context kubectl config use-context my-cluster-name # set the default context to my-cluster-name
https://kubernetes.io/docs/reference/kubectl/cheatsheet/


質問 # 347
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