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この試験は、アプリケーションの展開、クラウドストレージの設定、仮想マシンの管理、ネットワーキングなど、さまざまなトピックに関する選択式の質問で構成されています。試験は、クラウドソリューションの監視とデバッグ能力、Cloud SQL、Cloud Storage、Cloud FunctionsなどのGoogle Cloudサービスの熟練度も評価します。
Google Associate-Cloud-Enginer（Google Associate Cloud Engineer）試験は、Google Cloud Platform（GCP）が提供する認定試験であり、Google Cloud Engineersとして認定されたい個人のスキルをテストします。この試験は、GCPでアプリケーションとインフラストラクチャを展開、管理、拡張する候補者の能力を評価するように設計されています。 Google Associate Cloud Engineer Examは、GCPとそのサービスに関する基本的な知識を持ち、分野でのスキルと知識を検証しようとしている個人を対象としています。
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Associate-Cloud-Engineer勉強の資料 & Associate-Cloud-Engineer資格認定
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認定試験は、クラウドコンピューティングに関わる専門家またはクラウドサービスの管理に関する知識とスキルを構築したい人向けです。また、Google Cloud Platformの知識を獲得したいIT専門家にも適しています。
Google Associate Cloud Engineer Exam 認定 Associate-Cloud-Engineer 試験問題 (Q130-Q135):
質問 # 130
Your company is running a three-tier web application on virtual machines that use a MySQL database. You need to create an estimated total cost of cloud infrastructure to run this application on Google Cloud instances and Cloud SQL. What should you do?
- A. Use the Google Cloud Pricing Calculator to determine the cost of every Google Cloud resource you expect to use.
Use similar size instances for the web server, and use your current on-premises machines as a comparison for Cloud SQL. - B. Create a Google spreadsheet with multiple Google Cloud resource combinations. On a separate sheet, import the current Google Cloud prices and use these prices for the calculations within formulas.
- C. Use the Google Cloud Pricing Calculator and select the Cloud Operations template to define your web application with as much detail as possible.
- D. Implement a similar architecture on Google Cloud, and run a reasonable load test on a smaller scale. Check the billing information, and calculate the estimated costs based on the real load your system usually handles.
正解：A
解説：
The Google Cloud Pricing Calculator is a tool that allows you to estimate the cost of using Google Cloud products and services based on your specific needs and preferences. You can add various Google Cloud resources to your estimate, such as Compute Engine instances, Cloud SQL instances, network services, storage options, and more. You can also adjust the parameters of each resource, such as the region, zone, machine type, disk size, network egress, and usage hours. The Google Cloud Pricing Calculator will show you the monthly and hourly cost of each resource, as well as the total cost of your estimate. You can also save, share, or export your estimate for future reference.
To create an estimated total cost of cloud infrastructure to run your three-tier web application on Google Cloud instances and Cloud SQL, you should use the Google Cloud Pricing Calculator to determine the cost of every Google Cloud resource you expect to use. You should use similar size instances for the web server, such as n1-standard-1 or n1-standard-2, depending on your application's CPU and memory requirements. You should also use your current on-premises machines as a comparison for Cloud SQL, such as MySQL 5.7 or MySQL 8.0, depending on your database version. You should also consider the network and storage costs associated with your application, such as the network egress, persistent disk, and Cloud Storage.
The other options are not correct because they either do not use the Google Cloud Pricing Calculator, or they do not provide a reliable or accurate estimate of the cloud infrastructure cost. Option B is not correct because creating a Google spreadsheet with multiple Google Cloud resource combinations is a manual and tedious process that may not reflect the current Google Cloud prices or discounts. Option C is not correct because implementing a similar architecture on Google Cloud, and running a reasonable load test on a smaller scale, is a time-consuming and costly process that may not represent the actual load or performance of your application. Option D is not correct because using the Google Cloud Pricing Calculator and selecting the Cloud Operations template will not define your web application with as much detail as possible, as the Cloud Operations template is designed for estimating the cost of monitoring and logging services, not the compute, database, network, and storage services.
Reference:
Google Cloud Pricing Calculator
Compute Engine pricing
Cloud SQL pricing
質問 # 131
You are building a pipeline to process time-series dat
a. Which Google Cloud Platform services should you put in boxes 1,2,3, and 4?
- A. Cloud Pub/Sub, Cloud Dataflow, Cloud Datastore, BigQuery
- B. Cloud Pub/Sub, Cloud Storage, BigQuery, Cloud Bigtable
- C. Firebase Messages, Cloud Pub/Sub, Cloud Spanner, BigQuery
- D. Cloud Pub/Sub, Cloud Dataflow, Cloud Bigtable, BigQuery
正解：D
解説：
Reference:
https://cloud.google.com/solutions/correlating-time-series-dataflow
質問 # 132
You are operating a Google Kubernetes Engine (GKE) cluster for your company where different teams can run non-production workloads. Your Machine Learning (ML) team needs access to Nvidia Tesla P100 GPUs to train their models. You want to minimize effort and cost. What should you do?
- A. Ask your ML team to add the "accelerator: gpu" annotation to their pod specification.
- B. Create your own Kubernetes cluster on top of Compute Engine with nodes that have GPUs. Dedicate this cluster to your ML team.
- C. Recreate all the nodes of the GKE cluster to enable GPUs on all of them.
- D. Add a new, GPU-enabled, node pool to the GKE cluster. Ask your ML team to add the cloud.google.com/gke -accelerator: nvidia-tesla-p100 nodeSelector to their pod specification.
正解：C
質問 # 133
You have a Compute Engine instance hosting an application used between 9 AM and 6 PM on weekdays. You want to back up this instance daily for disaster recovery purposes. You want to keep the backups for 30 days.
You want the Google-recommended solution with the least management overhead and the least number of services. What should you do?
- A. 1. Update your instances' metadata to add the following value: snapshot-schedule: 0 1 * * *
2. Update your instances' metadata to add the following value: snapshot-retention: 30 - B. 1. Create a bash script in the instance that copies the content of the disk to Cloud Storage.
2.Create a bash script in the instance that deletes data older than 30 days in the backup Cloud Storage bucket.
3.Configure the instance's crontab to execute these scripts daily at 1:00 AM. - C. 1. In the Cloud Console, go to the Compute Engine Disks page and select your instance's disk.
2. In the Snapshot Schedule section, select Create Schedule and configure the following parameters:
-Schedule frequency: Daily
-Start time: 1:00 AM - 2:00 AM
-Autodelete snapshots after 30 days - D. 1. Create a Cloud Function that creates a snapshot of your instance's disk.
2.Create a Cloud Function that deletes snapshots that are older than 30 days.
3.Use Cloud Scheduler to trigger both Cloud Functions daily at 1:00 AM.
正解：C
解説：
Explanation
Creating scheduled snapshots for persistent disk This document describes how to create a snapshot schedule to regularly and automatically back up your zonal and regional persistent disks. Use snapshot schedules as a best practice to back up your Compute Engine workloads. After creating a snapshot schedule, you can apply it to one or more persistent disks. https://cloud.google.com/compute/docs/disks/scheduled-snapshots
質問 # 134
You want to configure an SSH connection to a single Compute Engine instance for users in the dev1 group.
This instance is the only resource in this particular Google Cloud Platform project that the dev1 users should be able to connect to. What should you do?
- A. Set metadata to enable-oslogin=true for the instance. Set the service account to no service account for that instance. Direct them to use the Cloud Shell to ssh to that instance.
- B. Enable block project wide keys for the instance. Generate an SSH key and associate the key with that instance. Distribute the key to dev1 users and direct them to use their third-party tools to connect.
- C. Set metadata to enable-oslogin=true for the instance. Grant the dev1 group the compute.osLogin role.
Direct them to use the Cloud Shell to ssh to that instance. - D. Enable block project wide keys for the instance. Generate an SSH key for each user in the dev1 group.
Distribute the keys to dev1 users and direct them to use their third-party tools to connect.
正解：C
質問 # 135
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