The Google ACE exam covers five broad topics. Each section has a list of components that the candidates must study and understand before attempting the certification test. The domains are the following:

Setting Up Cloud Solution Environments

Manage billing configuration: this involves skills in creating multiple billing accounts; linking projects to a specific billing account; determining the billing budget and alerts; creating billing exports for daily/monthly estimated charges;
Install and configure Cloud SDK CLI (Command Line Interface).
Set up Cloud accounts and projects: the activities under this component include creating projects; assigning the specific users to predetermined IAM roles for a project; managing the users within Cloud Identity allowing APIs in projects; provisioning multiple Stackdriver workspaces;

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Deploying & Implementing Cloud Solutions

Deploy solutions with Cloud Marketplace: the candidates must demonstrate the ability to browse the Cloud Marketplace catalog to check solution details; deploy Cloud Marketplace solutions;
Deploy and implement compute engine resources: the skills required for this area include launching compute instances with Cloud SDK and Cloud Console; creating auto-scaled managed instance groups with instance templates; uploading/generating custom SSH keys for instances; configuring virtual machines or Stackdriver logging and monitoring. It also requires that the students can assess compute quotas and request for increases; install a Stackdriver Agent for logging and monitoring;
Deploy and implement Google Kubernetes Engine Resources: this domain includes skills in deploying Google Kubernetes Engine cluster, container application to Google Kubernetes Engine with pods, and configuring Google Kubernetes Engine Application logging and monitoring;
Deploy and implement App Engine, Cloud Functions, and Cloud Run resources: the learners will be required to demonstrate their skills in the deployment of applications, traffic splitting, updating scaling configuration, as well as deployment of applications that accept Google Cloud events;
Deploy an application infrastructure with Cloud Deployment Manager with a focus on the development and launch of Deployment Manager templates.
Deploy and implement data solutions: the applicants should be able to initialize data systems with Google products and load data;
Deploy and implement networking resources: this will measure your ability to launch Compute Engine instances using custom network configuration; create egress and ingress firewall rule or VPC; create VPNs between the external network and Google VPC with Cloud VPN; create the load balancer to allocate the application network traffic for apps;

Google Associate Cloud Engineer Practice Test Questions, Google Associate Cloud Engineer Exam Practice Test Questions

The Google Associate Cloud Engineer certification is aimed at those professionals who deploy applications, manage enterprise solutions, and monitor operations. These individuals have the ability to utilize Google Cloud Console. They also use the command-line interface to carry out basic platform-based roles for the maintenance of multiple deployed solutions. These solutions leverage self-managed or Google-managed services on Google Cloud.

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Configuring Access & Security

The last module of the certification exam measures the skills of the learners in managing identity & access management (IAM). Besides that, they should know how to perform the management of service accounts. They also need to be able to view audit logs for the project as well as managed services.

Reference: https://cloud.google.com/certification/cloud-engineer

Google Associate-Cloud-Engineer日本語 Exam Syllabus Topics:

Section	Weight	Objectives
Planning and Configuring a Cloud Solution	20-25%	- Planning and configuring compute resources 1. Configuring persistent disks and local SSDs 2. Selecting appropriate machine types and zones - Planning and estimating GCP product usage 1. Using GCP Pricing Calculator 2. Reading documentation for compute, storage, and network resources - Planning and configuring network resources 1. Designing VPC networks 2. Configuring load balancing and firewall rules - Planning and configuring data storage options 1. Choosing between Cloud Storage, Filestore, Persistent Disk 2. Selecting appropriate storage classes
Configuring Access and Security	15-20%	- Managing IAM resources 1. Applying IAM policies to resources 2. Defining custom IAM roles 3. Creating and managing IAM roles - Managing service accounts 1. Assigning service accounts to resources 2. Creating and managing service accounts 3. Using service account keys - Viewing audit logs 1. Configuring audit log policies 2. Accessing and analyzing Cloud Audit Logs
Setting Up a Cloud Solution Environment	20-25%	- Managing billing configuration 1. Linking billing to projects 2. Creating billing accounts 3. Setting up budget alerts and notifications - Setting up cloud projects and accounts 1. Assigning IAM roles to users and groups 2. Managing billing budgets and alerts 3. Creating and managing projects
Ensuring Successful Operation	15-20%	- Managing Kubernetes Engine resources 1. Upgrading clusters 2. Managing workloads (Deployments, Services, HPA) 3. Scaling clusters and node pools - Managing logging and monitoring 1. Viewing and analyzing logs 2. Using Cloud Monitoring and Logging 3. Creating metrics and alerts - Managing Compute Engine resources 1. Resizing instances and persistent disks 2. Managing instances, disks, and snapshots 3. Attaching and detaching disks - Managing Cloud Run resources 1. Configuring resource limits 2. Managing revisions and traffic splitting - Managing storage and data solutions 1. Configuring CORS and encryption 2. Managing Cloud Storage buckets and objects 3. Setting lifecycle policies
Deploying and Implementing a Cloud Solution	20-25%	- Deploying and managing Kubernetes Engine resources 1. Deploying workloads with Deployments and Services 2. Configuring kubectl for cluster access 3. Creating and managing GKE clusters - Deploying applications with Cloud Deployment Manager 1. Using templates for resource provisioning 2. Creating deployment configurations - Deploying and managing Compute Engine resources 1. Creating and managing custom machine types 2. Creating and managing instances with startup scripts 3. Creating and managing managed instance groups - Deploying and managing Cloud Functions 1. Creating and triggering Cloud Functions 2. Configuring triggers and environment variables - Deploying and managing Cloud Run resources 1. Deploying containerized applications to Cloud Run 2. Configuring memory limits and scaling settings

Google Associate Cloud Engineer Exam (Associate-Cloud-Engineer日本語版) Sample Questions:

Question #1
（レプリカを 1 つしか持てない Google Kubernetes Engine（GKE）にデプロイされたステートフルアプリケーションを管理しています。最近、アプリケーションがピーク時に不安定になることが分かりました。アプリケーションは、これらのピーク時にマニフェストで設定されているよりも多くの CPU を必要とすることがわかりました。Kubernetes によって、これらのピーク時にアプリケーションに十分な CPU リソースを割り当て、同時にオフピーク時のコスト効率を確保したいと考えています。どうすればよいでしょうか。）

A. デプロイメントで Horizontal Pod Autoscaler を構成します。
B. GKE クラスターでクラスターの自動スケーリングを有効にします。
C. デプロイメントで Vertical Pod Autoscaler を構成します。
D. GKE クラスターでノードの自動プロビジョニングを有効にします。

Question #2
あなたの会社は、Compute EngineインスタンスでLinuxワークロードを実行しています。あなたの会社は、Googleアカウントを使用しない新しい運用パートナーと協力します。インストールされたツールを維持できるように、オペレーションパートナーにインスタンスへのアクセス権を付与する必要があります。あなたは何をするべきか？

A. すべてのインスタンスに同じネットワークタグを付けます。 VPCでファイアウォールルールを作成して、オペレーションパートナーからネットワークタグを持つインスタンスへのトラフィックにポート22でのTCPアクセスを許可します。
B. 操作パートナーにSSHキーペアの生成を依頼し、VMインスタンスに公開キーを追加します。
C. Google Cloud VPCと運用パートナーの内部ネットワークの間にCloud VPNを設定します。
D. Compute EngineインスタンスでCloud IAPを有効にし、運用パートナーをCloud IAPトンネルユーザーとして追加します。

Question #3
gcloudコマンドラインインターフェイス(CLI)を使用してGoogle Cloudに新しいプロジェクトを作成し、課金アカウントをリンクしました。次に、CLIを使用して新しいCompute Engineインスタンスを作成する必要があります。
前提条件となる停止作業を行う必要があります。何をすべきでしょうか？

A. プロジェクト内に VPC ネットワークを作成します。
B. クラウド監視ワークスペースを作成します。
C. compute googleapis.com API を有効にします。
D. コンピューター管理者のIAMロールを自分に付与します。

Question #4
最小限のコストでCloudStorageに保存されているファイルに最適なデータストレージを構成する必要があります。これらのファイルは、継続的に使用されるミッションクリティカルな分析パイプラインで使用されます。ユーザーはマサチューセッツ州ボストン（米国）にいます。あなたは何をするべきか？

A. ユーザーに最も近いリージョンのリージョンストレージを構成するNearlineストレージクラスを構成する
B. ユーザーに最も近いデュアルリージョンのデュアルリージョンストレージを構成するNearlineストレージクラスを構成する
C. ユーザーに最も近いデュアルリージョンのデュアルリージョンストレージを構成する標準ストレージクラスを構成する
D. ユーザーに最も近いリージョンのリージョンストレージを構成する標準ストレージクラスを構成する

Question #5
複雑なDeployment Managerテンプレートを大幅に変更し、プロジェクトにコミットする前に、定義されたすべてのリソースの依存関係が適切に満たされていることを確認したい。変更について最も迅速なフィードバックが必要です。あなたは何をするべきか？

A. 同じ構成の別のプロジェクトに対してDeployment Managerテンプレートを実行し、障害を監視します。
B. GCP ConsoleのStackdriver LoggingページでDeployment Manager実行のアクティビティをモニタリングします。
C. Pythonで作成されたDeployment Managerテンプレート内で詳細なログステートメントを使用します。
D. 同じプロジェクトで--previewオプションを使用してDeployment Managerテンプレートを実行し、相互依存するリソースの状態を観察します。

Solutions:

Question #1
Correct Answer: C

Question #2
Correct Answer: D

Question #3
Correct Answer: C

Question #4
Correct Answer: D

Question #5
Correct Answer: D

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