試験の準備方法-ユニークなAssociate-Cloud-Engineer復習テキスト試験-最新のAssociate-Cloud-Engineer参考資料

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GoogleのAssociate Cloud Engineer認定試験は、Associate Cloud Engineerになりたいと考えている個人向けのプロフェッショナル資格です。この認定は、Google Cloud Platform上でアプリケーションの管理と展開、運用の監視、クラウドソリューションの設定に関するスキルと知識を検証するために設計されています。

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Associate-Cloud-Engineer試験の準備方法｜認定するAssociate-Cloud-Engineer復習テキスト試験｜信頼的なGoogle Associate Cloud Engineer Exam参考資料

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Google Associate-Cloud-Engineer試験は、Googleが提供する認定試験で、Google Cloud Platform（GCP）を使用したクラウドコンピューティングのスキルと知識をテストします。この認定は、クラウドコンピューティングの基礎的な理解を持ち、GCPを使用したクラウドエンジニアリングのキャリアを追求することに興味のある個人を対象としています。試験は、GCPのコアサービス、インフラストラクチャ、セキュリティ、コンプライアンスなど、さまざまなトピックをカバーしています。

Google Associate-Cloud-Engineer試験は、50の多肢選択問題から成る2時間の監視下試験です。この試験は、試験センターで受験することも、自宅やオフィスからオンラインで受験することもできます。合格には最低70％のスコアが必要です。

Google Associate Cloud Engineer Exam 認定 Associate-Cloud-Engineer 試験問題 (Q56-Q61):

質問 # 56
You have a Bigtable instance that consists of three nodes that store personally identifiable information (PII) data. You need to log all read or write operations, including any metadata or configuration reads of this database table, in your company's Security Information and Event Management (SIEM) system. What should you do?

A. - Navigate to Cloud Monitoring in the Google Cloud console, and create a custom monitoring job for the Bigtable instance to track all changes.
- Create an alert by using webhook endpoints, with the SIEM endpoint as a receiver.
B. - Navigate to the Audit Logs page in the Google Cloud console, and enable Admin Write logs for the Bigtable instance.
- Create a Cloud Functions instance to export logs from Cloud Logging to your SIEM.
C. - Install the Ops Agent on the Bigtable instance during configuration.
- Create a service account with read permissions for the Bigtable instance.
- Create a custom Dataflow job with this service account to export logs to the company's SIEM system.
D. - Navigate to the Audit Logs page in the Google Cloud console, and enable Data Read, Data Write and Admin Read logs for the Bigtable instance.
- Create a Pub/Sub topic as a Cloud Logging sink destination, and add your SIEM as a subscriber to the topic.

正解：D

解説：
https://cloud.google.com/bigtable/docs/audit-logging

質問 # 57
You have an application that uses Cloud Spanner as a backend database. The application has a very predictable traffic pattern. You want to automatically scale up or down the number of Spanner nodes depending on traffic. What should you do?

A. Create a Stackdriver alerting policy to send an alert to webhook when Cloud Spanner CPU is over or under your threshold. Create a Cloud Function that listens to HTTP and resizes Spanner resources accordingly.
B. Create a cron job that runs on a scheduled basis to review stackdriver monitoring metrics, and then resize the Spanner instance accordingly.
C. Create a Stackdriver alerting policy to send an alert to Google Cloud Support email when Cloud Spanner CPU exceeds your threshold. Google support would scale resources up or down accordingly.
D. Create a Stackdriver alerting policy to send an alert to oncall SRE emails when Cloud Spanner CPU exceeds the threshold. SREs would scale resources up or down accordingly.

正解：A

解説：
Explanation
As to mexblood1's point, CPU utilization is a recommended proxy for traffic when it comes to Cloud Spanner.
See: Alerts for high CPU utilization The following table specifies our recommendations for maximum CPU usage for both single-region and multi-region instances. These numbers are to ensure that your instance has enough compute capacity to continue to serve your traffic in the event of the loss of an entire zone (for single-region instances) or an entire region (for multi-region instances). -
https://cloud.google.com/spanner/docs/cpu-utilization

質問 # 58
Your application has a large international audience and runs stateless virtual machines within a managed instance group across multiple locations. One feature of the application lets users upload files and share them with other users. Files must be available for 30 days; after that, they are removed from the system entirely. Which storage solution should you choose?

A. A Cloud Datastore database.
B. A managed instance group of Filestore servers.
C. A multi-regional Cloud Storage bucket.
D. Persistent SSD on virtual machine instances.

正解：C

解説：
A is not correct because a Datastore database is not designed for file storage.
B is correct because buckets can be multi-regional and have lifecycle management.
C is not correct because disks are generally ephemeral for virtual machines in managed instance groups.
D is not correct because content would be restricted to a single region for all international users.

質問 # 59
Your company is moving from an on-premises environment to Google Cloud Platform (GCP). You have multiple development teams that use Cassandra environments as backend databases. They all need a development environment that is isolated from other Cassandra instances. You want to move to GCP quickly and with minimal support effort. What should you do?

A. 1. Build a Cassandra Compute Engine instance and take a snapshot of it.
2. Upload the snapshot to Cloud Storage and make it accessible to your developers.
B. 1. Build a Cassandra Compute Engine instance and take a snapshot of it.
2. Use the snapshot to create instances for your developers.
C. 1. Build an instruction guide to install Cassandra on GCP.
2. Make the instruction guide accessible to your developers.
D. 1. Advise your developers to go to Cloud Marketplace.
2. Ask the developers to launch a Cassandra image for their development work.

正解：D

解説：
3. Build instructions to create a Compute Engine instance from the snapshot so that developers can do it themselves.
Explanation:
https://medium.com/google-cloud/how-to-deploy-cassandra-and-connect-on-google-cloud-platform-with-a-few-clicks-11ee3d7001d1
https://cloud.google.com/blog/products/databases/open-source-cassandra-now-managed-on-google-cloud
https://cloud.google.com/marketplace
You can deploy Cassandra as a Service, called Astra, on the Google Cloud Marketplace. Not only do you get a unified bill for all GCP services, your Developers can now create Cassandra clusters on Google Cloud in minutes and build applications with Cassandra as a database as a service without the operational overhead of managing Cassandra

質問 # 60
You deployed a new application inside your Google Kubernetes Engine cluster using the YAML file specified below.

You check the status of the deployed pods and notice that one of them is still in PENDING status:

You want to find out why the pod is stuck in pending status. What should you do?

A. Review details of the myapp-deployment Deployment object and check for error messages.
B. Review details of myapp-deployment-58ddbbb995-lp86m Pod and check for warning messages.
C. Review details of the myapp-service Service object and check for error messages.
D. View logs of the container in myapp-deployment-58ddbbb995-lp86m pod and check for warning messages.

正解：B

解説：
https://kubernetes.io/docs/tasks/debug-application-cluster/debug-application/#debugging-pods

質問 # 61
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