Associate-Cloud-Engineerトレーニング、Associate-Cloud-Engineer試験解答

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Google Associate-Cloud-Engineer Exam Syllabus Topics:

Section	Weight	Objectives
Setting up a cloud solution environment	20%	- Managing billing configuration 1. Configure billing exports 2. Link projects to billing accounts 3. Set budgets and alerts 4. Create and manage billing accounts - Setting up cloud projects and accounts 1. Create resource hierarchy 2. Manage quotas and limits 3. Enable APIs 4. Manage IAM roles and permissions 5. Manage users and groups 6. Apply organizational policies
Configuring access and security	17.5%	- Configuring network security 1. Manage security controls 2. Secure VPC networks 3. Configure private access - Managing IAM 1. Define roles and permissions 2. Implement least privilege access 3. Manage service accounts - Managing data security 1. Enable encryption 2. Manage access to data
Deploying and implementing a cloud solution	25%	- Deploying and implementing serverless resources 1. Create Cloud Functions 2. Deploy Cloud Run services - Deploying and implementing data solutions 1. Set up data processing pipelines 2. Provision databases - Deploying and implementing Google Kubernetes Engine resources 1. Deploy workloads 2. Configure networking for GKE 3. Create and manage clusters - Deploying and implementing Compute Engine resources 1. Manage images and snapshots 2. Configure access and security 3. Launch virtual machines 4. Create managed instance groups
Planning and configuring a cloud solution	17.5%	- Planning and configuring network resources 1. Plan hybrid connectivity 2. Plan firewall rules 3. Choose load balancing options 4. Design VPC networks - Planning and configuring compute resources 1. Plan data storage solutions 2. Select compute options 3. Plan instance configuration 4. Choose storage options - Planning and configuring storage resources 1. Plan data durability and availability 2. Select storage classes
Ensuring successful operation of a cloud solution	20%	- Managing resources 1. Scale resources 2. Update configurations 3. Troubleshoot common issues - Managing cost and performance 1. Optimize resource usage 2. Analyze cost reports - Monitoring and logging 1. Use Cloud Monitoring 2. Set up alerts 3. Use Cloud Logging

>> Associate-Cloud-Engineerトレーニング <<

有用的なAssociate-Cloud-Engineerトレーニング & 認定試験のリーダー & 初段のAssociate-Cloud-Engineer試験解答

Google学習教材は、学習者が製品を使用するのに不便がないように役立つ複数の機能と思いやりのあるサービスを提供します。 Associate-Cloud-Engineer学習教材を購入し、しばらくの間辛抱強く学習すれば、わずかな失敗確率でAssociate-Cloud-Engineerテストに合格することを保証できます。私たちの製品の価格はあなたが購入できる範囲内であり、私たちの学習教材を使用した後、あなたは確かに製品の価値があなたが支払う金額をはるかに超えていると感じるでしょう。 Associate-Cloud-Engineer学習ガイドを選択することは、Google Associate Cloud Engineer Exam成功と完璧なサービスを選択することと同じです。

Google Associate Cloud Engineer Exam 認定 Associate-Cloud-Engineer 試験問題 (Q299-Q304):

質問 # 299
You have 32 GB of data in a single file that you need to upload to a Nearline Storage bucket. The WAN connection you are using is rated at 1 Gbps, and you are the only one on the connection. You want to use as much of the rated 1 Gbps as possible to transfer the file rapidly. How should you upload the file?

A. Decrease the TCP window size on the machine initiating the transfer.
B. Use the GCP Console to transfer the file instead of gsutil.
C. Enable parallel composite uploads using gsutil on the file transfer.
D. Change the storage class of the bucket from Nearline to Multi-Regional.

正解：C

質問 # 300
You are working with a user to set up an application in a new VPC behind a firewall. The user is concerned about data egress. You want to configure the fewest open egress ports. What should you do?

A. Set up a high-priority (1000) rule to allow the appropriate ports.
B. Set up a high-priority (1000) rule that pairs both ingress and egress ports.
C. Set up a high-priority (1000) rule that blocks all egress and a low-priority (65534) rule that allows only the appropriate ports.
D. Set up a low-priority (65534) rule that blocks all egress and a high-priority rule (1000) that allows only the appropriate ports.

正解：C

質問 # 301
You are managing your company's archival records that are stored in a Cloud Storage bucket using the Multi- Regional storage class. These objects are rarely accessed after 90 days but must be retained indefinitely to meet regulatory compliance requirements. You need to implement a cost-effective process that automatically transitions these objects to the lowest-cost storage class suitable for long-term retention immediately after the
90-day period. What should you do?

A. Create an Object Lifecycle Management rule on the bucket that specifies an age condition of 90 days and uses the SetStorageClass action to transition the objects to Archive storage.
B. Create an Object Lifecycle Management rule on the bucket that specifies the createdBefore condition set to 90 days ago and uses the Delete action to remove the objects.
C. Create a nightly scheduled Cloud Run function that uses the Cloud Storage API to change the storage class of all objects older than 90 days to Archive storage.
D. Enable Object Versioning on the bucket, and create an Object Lifecycle Management rule that sets the daysSinceNoncurrentTime condition to 90 days, transitioning noncurrent versions to Archive storage.

正解：A

解説：
The correct answer is B because Cloud Storage Object Lifecycle Management is designed to automate storage-class transitions based on object conditions such as object age. The requirement is not to delete the records, but to retain them indefinitely while reducing cost after 90 days. Archive storage is the lowest-cost class for long-term retained data that is rarely accessed. The SetStorageClass lifecycle action changes the storage class of an object when the rule conditions are met. Object Versioning and daysSinceNoncurrentTime apply to noncurrent object versions, which is not the scenario. A scheduled Cloud Run function would add unnecessary operational overhead. A Delete action would violate the retention requirement.

質問 # 302
You manage Identity and Access Management (IAM) for your Google Cloud project. A new developer joined the cloud-developer team, and they need to be able to deploy containerized applications to an existing Google Kubernetes Engine (GKE) cluster. They do not need to manage other cloud resources or the GKE cluster itself. You need to grant access following the principle of least privilege. What should you do?

A. Grant the developer the container.admin IAM role for the project.
B. Add the developer to the cloud-developer group that already has the container.developer IAM role.
C. Grant the developer the editor IAM role for the project.
D. Grant the developer the container.serviceAgent IAM role for the project.

正解：B

解説：
The correct answer is A because access should be managed through groups and granted with the least privilege required. The container.developer role is appropriate for users who need to work with Kubernetes resources and deploy applications without administering the full GKE environment or broader Google Cloud project. Adding the user to an existing cloud-developer group also simplifies access management because future joiners and leavers can be handled by group membership rather than individual IAM bindings. The container.admin role is too broad because it allows cluster administration. The container.serviceAgent role is intended for Google-managed service agents, not human developers. The Editor role is also excessive because it grants wide project-level permissions unrelated to GKE deployment.

質問 # 303
You have a Compute Engine instance hosting a production application. You want to receive an email if the instance consumes more than 90% of its CPU resources for more than 15 minutes. You want to use Google services. What should you do?

A. 1. Create a Stackdriver Workspace, and associate your GCP project with it.
2.Write a script that monitors the CPU usage and sends it as a custom metric to Stackdriver.
3.Create an uptime check for the instance in Stackdriver.
B. 1. In Stackdriver Logging, create a logs-based metric to extract the CPU usage by using this regular expression: CPU Usage: ([0-9] {1,3}) %
2.In Stackdriver Monitoring, create an Alerting Policy based on this metric.
3.Configure your email address in the notification channel.
C. 1. Create a Stackdriver Workspace, and associate your Google Cloud Platform (GCP) project with it.
2.Create an Alerting Policy in Stackdriver that uses the threshold as a trigger condition.
3.Configure your email address in the notification channel.
D. 1. Create a consumer Gmail account.
2.Write a script that monitors the CPU usage.
3.When the CPU usage exceeds the threshold, have that script send an email using the Gmail account and smtp.gmail.com on port 25 as SMTP server.

正解：C

解説：
Specifying conditions for alerting policies This page describes how to specify conditions for alerting policies.
The conditions for an alerting policy define what is monitored and when to trigger an alert. For example, suppose you want to define an alerting policy that emails you if the CPU utilization of a Compute Engine VM instance is above 80% for more than 3 minutes. You use the conditions dialog to specify that you want to monitor the CPU utilization of a Compute Engine VM instance, and that you want an alerting policy to trigger when that utilization is above 80% for 3 minutes. https://cloud.google.com/monitoring/alerts/ui-conditions-ga
https://cloud.google.com/monitoring/alerts/using-alerting-ui
https://cloud.google.com/monitoring/support/notification-options

質問 # 304
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