2025年最新のProfessional-Cloud-DevOps-Engineer試験問題集で最近更新された200問題 [Q47-Q70]

Rate this post

2025年最新のProfessional-Cloud-DevOps-Engineer試験問題集で最近更新された200問題

Google Professional-Cloud-DevOps-Engineerリアル2025年最新のブレーン問題集で模擬試験問題集

新問題 47
You support a high-traffic web application and want to ensure that the home page loads in a timely manner. As a first step, you decide to implement a Service Level Indicator (SLI) to represent home page request latency with an acceptable page load time set to 100 ms. What is the Google-recommended way of calculating this SLI?

Buckelize Ihe request latencies into ranges, and then compute the percentile at 100 ms.

Bucketize the request latencies into ranges, and then compute the median and 90th percentiles.

Count the number of home page requests that load in under 100 ms, and then divide by the total number of home page requests.

Count the number of home page requests that load in under 100 ms. and then divide by the total number of all web application requests.

新問題 48
You want to share a Cloud Monitoring custom dashboard with a partner team What should you do?

Provide the partner team with the dashboard URL to enable the partner team to create a copy of the dashboard

Export the metrics to BigQuery Use Looker Studio to create a dashboard, and share the dashboard with the partner team

Copy the Monitoring Query Language (MQL) query from the dashboard; and send the MQL query to the partner team

Download the JSON definition of the dashboard, and send the JSON file to the partner team

新問題 49
Your company is creating a new cloud-native Google Cloud organization. You expect this Google Cloud organization to first be used by a small number of departments and then expand to be used by a large number of departments. Each department has a large number of applications varying in size. You need to design the VPC network architecture. Your solution must minimize the amount of management required while remaining flexible enough for development teams to quickly adapt to their evolving needs. What should you do?

Create a separate VPC for each department and connect the VPCs with VPC Network Peering.

Create a separate VPC for each department and use Private Service Connect to connect the VPCs.

Create a separate VPC for each application and use Private Service Connect to connect the VPCs.

Create a separate VPC for each department and connect the VPCs with Cloud VPN.

新問題 50
You are running a web application that connects to an AlloyDB cluster by using a private IP address in your default VPC. You need to run a database schema migration in your CI/CD pipeline by using Cloud Build before deploying a new version of your application. You want to follow Google-recommended security practices. What should you do?

Set up a Cloud Build private pool to access the database through a static external IP address. Configure the database to only allow connections from this IP address. Execute the schema migration script in the private pool.

Create a service account that has permission to access the database. Configure Cloud Build to use this service account and execute the schema migration script in a private pool.

Add the database username and encrypted password to the application configuration file. Use these credentials in Cloud Build to execute the schema migration script.

Add the database username and password to Secret Manager. When running the schema migration script, retrieve the username and password from Secret Manager.

新問題 51
You are running an application on Compute Engine and collecting logs through Stackdriver. You discover that some personally identifiable information (PII) is leaking into certain log entry fields. You want to prevent these fields from being written in new log entries as quickly as possible. What should you do?

Use the filter-record-transformer Fluentd filter plugin to remove the fields from the log entries in flight.

Use the fluent-plugin-record-reformer Fluentd output plugin to remove the fields from the log entries in flight.

Wait for the application developers to patch the application, and then verify that the log entries are no longer exposing PII.

Stage log entries to Cloud Storage, and then trigger a Cloud Function to remove the fields and write the entries to Stackdriver via the Stackdriver Logging API.

新問題 52
Your organization wants to collect system logs that will be used to generate dashboards in Cloud Operations for their Google Cloud project. You need to configure all current and future Compute Engine instances to collect the system logs and you must ensure that the Ops Agent remains up to date. What should you do?

Use the gcloud CLI to install the Ops Agent on each VM listed in the Cloud Asset Inventory

Select all VMs with an Agent status of Not detected on the Cloud Operations VMs dashboard Then select Install agents

Use the gcloud CLI to create an Agent Policy.

Install the Ops Agent on the Compute Engine image by using a startup script

新問題 53
You manage several production systems that run on Compute Engine in the same Google Cloud Platform (GCP) project. Each system has its own set of dedicated Compute Engine instances. You want to know how must it costs to run each of the systems. What should you do?

In the Google Cloud Platform Console, use the Cost Breakdown section to visualize the costs per system.

Assign all instances a label specific to the system they run. Configure BigQuery billing export and query costs per label.

Enrich all instances with metadata specific to the system they run. Configure Stackdriver Logging to export to BigQuery, and query costs based on the metadata.

Name each virtual machine (VM) after the system it runs. Set up a usage report export to a Cloud Storage bucket. Configure the bucket as a source in BigQuery to query costs based on VM name.

新問題 54
You need to introduce postmortems into your organization. You want to ensure that the postmortem process is well received. What should you do?
Choose 2 answers

Create a designated team that is responsible for conducting all postmortems.

Encourage new employees to conduct postmortems to learn through practice.

Ensure that writing effective postmortems is a rewarded and celebrated practice.

Encourage your senior leadership to acknowledge and participate in postmortems.

Provide your organization with a forum to critique previous postmortems.

新問題 55
You want to share a Cloud Monitoring custom dashboard with a partner team What should you do?

Provide the partner team with the dashboard URL to enable the partner team to create a copy of the dashboard

Export the metrics to BigQuery Use Looker Studio to create a dashboard, and share the dashboard with the partner team

Copy the Monitoring Query Language (MQL) query from the dashboard; and send the MQL query to the partner team

Download the JSON definition of the dashboard, and send the JSON file to the partner team

新問題 56
You are writing a postmortem for an incident that severely affected users. You want to prevent similar incidents in the future. Which two of the following sections should you include in the postmortem? (Choose two.)

An explanation of the root cause of the incident

A list of employees responsible for causing the incident

A list of action items to prevent a recurrence of the incident

Your opinion of the incident’s severity compared to past incidents

Copies of the design documents for all the services impacted by the incident

新問題 57
You recently migrated an ecommerce application to Google Cloud. You now need to prepare the application for the upcoming peak traffic season. You want to follow Google-recommended practices. What should you do first to prepare for the busy season?

Migrate the application to Cloud Run, and use autoscaling.

Load test the application to profile its performance for scaling.

Create a Terraform configuration for the application’s underlying infrastructure to quickly deploy to additional regions.

Pre-provision the additional compute power that was used last season, and expect growth.

The first thing you should do to prepare your ecommerce application for the upcoming peak traffic season is to load test the application to profile its performance for scaling. Load testing is a process of simulating high traffic or user demand on your application and measuring how it responds.Load testing can help you identify any bottlenecks, errors, or performance issues that might affect your application during the busy season1.Load testing can also help you determine the optimal scaling strategy for your application, such as horizontal scaling (adding more instances) or vertical scaling (adding more resources to each instance)2.
There are different tools and methods for load testing your ecommerce application on Google Cloud, depending on the type and complexity of your application.For example, you can use Cloud Load Balancing to distribute traffic across multiple instances of your application, and use Cloud Monitoring to measure the latency, throughput, and error rate of your application3.You can also use Cloud Functions or Cloud Run to create serverless load generators that can simulate user requests and send them to your application4.
Alternatively, you can use third-party tools such as Apache JMeter or Locust to create and run load tests on your application.
By load testing your ecommerce application before the peak traffic season, you can ensure that your application is ready to handle the expected load and provide a good user experience. You can also use the results of your load tests to plan and implement other steps to prepare your application for the busy season, such as migrating to a more scalable platform, creating a Terraform configuration for deploying to additional regions, or pre-provisioning additional compute power.
References:
1:Load Testing 101: How To Test Website Performance | BlazeMeter
2: Scaling applications | Google Cloud
3:Load testing using Google Cloud | Solutions | Google Cloud
4: Serverless load testing using Cloud Functions | Solutions | Google Cloud

新問題 58
You are creating a CI/CD pipeline to perform Terraform deployments of Google Cloud resources Your CI/CD tooling is running in Google Kubernetes Engine (GKE) and uses an ephemeral Pod for each pipeline run You must ensure that the pipelines that run in the Pods have the appropriate Identity and Access Management (1AM) permissions to perform the Terraform deployments You want to follow Google-recommended practices for identity management What should you do?
Choose 2 answers

Create a new Kubernetes service account, and assign the service account to the Pods Use Workload Identity to authenticate as the Google service account

Create a new JSON service account key for the Google service account store the key as a Kubernetes secret, inject the key into the Pods, and set the boogle_application_credentials environment variable

Create a new Google service account, and assign the appropriate 1AM permissions

Create a new JSON service account key for the Google service account store the key in the secret management store for the CI/CD tool and configure Terraform to use this key for authentication

Assign the appropriate 1AM permissions to the Google service account associated with the Compute Engine VM instances that run the Pods

新問題 59
Your team is designing a new application for deployment into Google Kubernetes Engine (GKE). You need to set up monitoring to collect and aggregate various application-level metrics in a centralized location. You want to use Google Cloud Platform services while minimizing the amount of work required to set up monitoring. What should you do?

Publish various metrics from the application directly to the Slackdriver Monitoring API, and then observe these custom metrics in Stackdriver.

Install the Cloud Pub/Sub client libraries, push various metrics from the application to various topics, and then observe the aggregated metrics in Stackdriver.

Install the OpenTelemetry client libraries in the application, configure Stackdriver as the export destination for the metrics, and then observe the application’s metrics in Stackdriver.

Emit all metrics in the form of application-specific log messages, pass these messages from the containers to the Stackdriver logging collector, and then observe metrics in Stackdriver.

新問題 60
You are currently planning how to display Cloud Monitoring metrics for your organization’s Google Cloud projects. Your organization has three folders and six projects:

You want to configure Cloud Monitoring dashboards lo only display metrics from the projects within one folder You need to ensure that the dashboards do not display metrics from projects in the other folders You want to follow Google-recommended practices What should you do?

Create a single new scoping project

Create new scoping projects for each folder

Use the current app-one-prod project as the scoping project

Use the current app-one-dev, app-one-staging and app-one-prod projects as the scoping project for each folder

新問題 61
You are running an experiment to see whether your users like a new feature of a web application. Shortly after deploying the feature as a canary release, you receive a spike in the number of 500 errors sent to users, and your monitoring reports show increased latency. You want to quickly minimize the negative impact on users. What should you do first?

Roll back the experimental canary release.

Start monitoring latency, traffic, errors, and saturation.

Record data for the postmortem document of the incident.

Trace the origin of 500 errors and the root cause of increased latency.

新問題 62
You manage an application that is writing logs to Stackdriver Logging. You need to give some team members the ability to export logs. What should you do?

Grant the team members the IAM role of logging.configWriter on Cloud IAM.

Configure Access Context Manager to allow only these members to export logs.

Create and grant a custom IAM role with the permissions logging.sinks.list and logging.sink.get.

Create an Organizational Policy in Cloud IAM to allow only these members to create log exports.

新問題 63
Your organization has a containerized web application that runs on-premises As part of the migration plan to Google Cloud you need to select a deployment strategy and platform that meets the following acceptance criteria
1 The platform must be able to direct traffic from Android devices to an Android-specific microservice
2 The platform must allow for arbitrary percentage-based traffic splitting
3 The deployment strategy must allow for continuous testing of multiple versions of any microservice What should you do?

Deploy the canary release of the application to Cloud Run Use traffic splitting to direct 10% of user traffic to the canary release based on the revision tag

Deploy the canary release of the application to App Engine Use traffic splitting to direct a subset of user traffic to the new version based on the IP address

Deploy the canary release of the application to Compute Engine Use Anthos Service Mesh with Compute Engine to direct 10% of user traffic to the canary release by configuring the virtual service.

Deploy the canary release to Google Kubernetes Engine with Anthos Sen/ice Mesh Use traffic splitting to direct 10% of user traffic to the new version based on the user-agent header configured in the virtual service

新問題 64
You support a high-traffic web application with a microservice architecture. The home page of the application displays multiple widgets containing content such as the current weather, stock prices, and news headlines. The main serving thread makes a call to a dedicated microservice for each widget and then lays out the homepage for the user. The microservices occasionally fail; when that happens, the serving thread serves the homepage with some missing content. Users of the application are unhappy if this degraded mode occurs too frequently, but they would rather have some content served instead of no content at all. You want to set a Service Level Objective (SLO) to ensure that the user experience does not degrade too much. What Service Level Indicator {SLI) should you use to measure this?

A quality SLI: the ratio of non-degraded responses to total responses

An availability SLI: the ratio of healthy microservices to the total number of microservices

A freshness SLI: the proportion of widgets that have been updated within the last 10 minutes

A latency SLI: the ratio of microservice calls that complete in under 100 ms to the total number of microservice calls

新問題 65
You are running an application on Compute Engine and collecting logs through Stackdriver. You discover that some personally identifiable information (Pll) is leaking into certain log entry fields. All Pll entries begin with the text userinfo. You want to capture these log entries in a secure location for later review and prevent them from leaking to Stackdriver Logging. What should you do?

Create a basic log filter matching userinfo, and then configure a log export in the Stackdriver console with Cloud Storage as a sink.

Use a Fluentd filter plugin with the Stackdriver Agent to remove log entries containing userinfo, and then copy the entries to a Cloud Storage bucket.

Create an advanced log filter matching userinfo, configure a log export in the Stackdriver console with Cloud Storage as a sink, and then configure a tog exclusion with userinfo as a filter.

Use a Fluentd filter plugin with the Stackdriver Agent to remove log entries containing userinfo, create an advanced log filter matching userinfo, and then configure a log export in the Stackdriver console with Cloud Storage as a sink.

新問題 66
You use Terraform to manage an application deployed to a Google Cloud environment The application runs on instances deployed by a managed instance group The Terraform code is deployed by using aCI/CD pipeline When you change the machine type on the instance template used by the managed instance group, the pipeline fails at the terraform apply stage with the following error message

You need to update the instance template and minimize disruption to the application and the number of pipeline runs What should you do?

Delete the managed instance group and recreate it after updating the instance template

Add a new instance template update the managed instance group to use the new instance template and delete the old instance template

Remove the managed instance group from the Terraform state file update the instance template and reimport the managed instance group.

Set the create_bef ore_destroy meta-argument to true in the lifecycle block on the instance template

新問題 67
Your team is running microservices in Google Kubernetes Engine (GKE) You want to detect consumption of an error budget to protect customers and define release policies What should you do?

Create SLIs from metrics Enable Alert Policies if the services do not pass

Use the metrics from Anthos Service Mesh to measure the health of the microservices

Create a SLO Create an Alert Policy on select_slo_bum_rate

Create a SLO and configure uptime checks for your services Enable Alert Policies if the services do not pass

新問題 68
You use Terraform to manage an application deployed to a Google Cloud environment The application runs on instances deployed by a managed instance group The Terraform code is deployed by using a CI/CD pipeline When you change the machine type on the instance template used by the managed instance group, the pipeline fails at the terraform apply stage with the following error message

You need to update the instance template and minimize disruption to the application and the number of pipeline runs What should you do?

Delete the managed instance group and recreate it after updating the instance template

Add a new instance template update the managed instance group to use the new instance template and delete the old instance template

Remove the managed instance group from the Terraform state file update the instance template and reimport the managed instance group.

Set the create_bef ore_destroy meta-argument to true in the lifecycle block on the instance template

新問題 69
You recently noticed that one Of your services has exceeded the error budget for the current rolling window period. Your company’s product team is about to launch a new feature. You want to follow Site Reliability Engineering (SRE) practices.
What should you do?

Notify the team that their error budget is used up. Negotiate with the team for a launch freeze or tolerate a slightly worse user experience.

Look through other metrics related to the product and find SLOs with remaining error budget.
Reallocate the error budgets and allow the feature launch.

Escalate the situation and request additional error budget.

Notify the team about the lack of error budget and ensure that all their tests are successful so the launch will not further risk the error budget.

新問題 70
You are running an application in a virtual machine (VM) using a custom Debian image. The image has the Stackdriver Logging agent installed. The VM has the cloud-platform scope. The application is logging information via syslog. You want to use Stackdriver Logging in the Google Cloud Platform Console to visualize the logs. You notice that syslog is not showing up in the “All logs” dropdown list of the Logs Viewer. What is the first thing you should do?

Look for the agent’s test log entry in the Logs Viewer.

Install the most recent version of the Stackdriver agent.

Verify the VM service account access scope includes the monitoring.write scope.

SSH to the VM and execute the following commands on your VM: ps ax I grep fluentd

試験に合格すると、候補者はGoogle Cloud Certified – Professional Cloud DevOps Engineerの認定を受け、クラウドベースのDevOpsエンジニアリングにおける専門知識を証明します。この認定は、個人がIT業界でキャリアを進め、成長と発展の新しい機会を開くことができます。

Google Professional-Cloud-DevOps-Engineerの試験は、クラウドベースのDevOpsエンジニアリングの様々な分野における候補者の知識とスキルを総合的に評価する試験です。この試験には多肢選択問題が含まれ、候補者は主題に対する深い理解を示す必要があります。この試験は、候補者の知識とスキルを実世界のシナリオに適用できる能力を評価するように設計されています。

厳密検証されたProfessional-Cloud-DevOps-Engineer試験問題集と解答で無料提供のProfessional-Cloud-DevOps-Engineer問題と正解付き：https://www.goshiken.com/Google/Professional-Cloud-DevOps-Engineer-mondaishu.html

Tags: Professional-Cloud-DevOps-Engineer受験方法, Professional-Cloud-DevOps-Engineer合格受験記, Professional-Cloud-DevOps-Engineer復習解答例, Professional-Cloud-DevOps-Engineer最新日本語版参考書

2025年最新のProfessional-Cloud-DevOps-Engineer試験問題集で最近更新された200問題 [Q47-Q70]

コメントを残すコメントをキャンセル

関連認証

Professional-Cloud-DevOps-Engineer 練習テスト

最近の投稿

アーカイブ

カテゴリー

2025年最新のProfessional-Cloud-DevOps-Engineer試験問題集で最近更新された200問題 [Q47-Q70]

コメントを残す コメントをキャンセル

関連認証

Professional-Cloud-DevOps-Engineer 練習テスト

最近の投稿

アーカイブ

カテゴリー

コメントを残すコメントをキャンセル