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Google Associate-Cloud-Engineer Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Ensuring successful operation of a cloud solution20%- Monitoring and logging
  • 1. Use Cloud Monitoring
  • 2. Set up alerts
  • 3. Use Cloud Logging
- Managing cost and performance
  • 1. Optimize resource usage
  • 2. Analyze cost reports
- Managing resources
  • 1. Scale resources
  • 2. Troubleshoot common issues
  • 3. Update configurations
Topic 2: Configuring access and security17.5%- Managing IAM
  • 1. Define roles and permissions
  • 2. Manage service accounts
  • 3. Implement least privilege access
- Configuring network security
  • 1. Configure private access
  • 2. Secure VPC networks
  • 3. Manage security controls
- Managing data security
  • 1. Manage access to data
  • 2. Enable encryption
Topic 3: Setting up a cloud solution environment20%- Managing billing configuration
  • 1. Set budgets and alerts
  • 2. Link projects to billing accounts
  • 3. Configure billing exports
  • 4. Create and manage billing accounts
- Setting up cloud projects and accounts
  • 1. Enable APIs
  • 2. Manage quotas and limits
  • 3. Manage users and groups
  • 4. Create resource hierarchy
  • 5. Apply organizational policies
  • 6. Manage IAM roles and permissions
Topic 4: Deploying and implementing a cloud solution25%- Deploying and implementing serverless resources
  • 1. Deploy Cloud Run services
  • 2. Create Cloud Functions
- Deploying and implementing data solutions
  • 1. Set up data processing pipelines
  • 2. Provision databases
- Deploying and implementing Compute Engine resources
  • 1. Manage images and snapshots
  • 2. Launch virtual machines
  • 3. Create managed instance groups
  • 4. Configure access and security
- Deploying and implementing Google Kubernetes Engine resources
  • 1. Configure networking for GKE
  • 2. Deploy workloads
  • 3. Create and manage clusters
Topic 5: Planning and configuring a cloud solution17.5%- Planning and configuring network resources
  • 1. Plan firewall rules
  • 2. Plan hybrid connectivity
  • 3. Choose load balancing options
  • 4. Design VPC networks
- Planning and configuring compute resources
  • 1. Choose storage options
  • 2. Plan data storage solutions
  • 3. Plan instance configuration
  • 4. Select compute options
- Planning and configuring storage resources
  • 1. Plan data durability and availability
  • 2. Select storage classes

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最新的 Google Cloud Certified Associate-Cloud-Engineer 免費考試真題 (Q159-Q164):

問題 #159
(Your company was recently impacted by a service disruption that caused multiple Dataflow jobs to get stuck, resulting in significant downtime in downstream applications and revenue loss. You were able to resolve the issue by identifying and fixing an error you found in the code. You need to design a solution with minimal management effort to identify when jobs are stuck in the future to ensure that this issue does not occur again.
What should you do?)

答案：C

解題說明：
Comprehensive and Detailed In Depth Explanation:
The goal is to proactively identify stuck Dataflow jobs with minimal management effort. Let's analyze each option:
A). Error Reporting for slowdowns: Error Reporting primarily focuses on capturing and aggregating exceptions and errors (stack traces). While a stuck job might eventually throw an error, it might also just become unresponsive without generating explicit errors. Relying solely on Error Reporting might not provide timely detection of stuck jobs. Identifying stack traces that indicate slowdowns can also be complex and require significant manual configuration and analysis.
B). Personalized Service Health dashboard: The Personalized Service Health dashboard provides information about Google Cloud service incidents that might be affecting your resources. While it can alert you to broader Dataflow service outages, it won't specifically identify individual stuck jobs due to application-level errors or logic within your Dataflow pipeline.
C). Pub/Sub messages for delays, backup job, and Cloud Tasks alerts: This approach involves significant custom implementation and management. You would need to instrument your Dataflow jobs to detect delays, send messages to Pub/Sub, manage a backup job, and configure Cloud Tasks for alerting. This adds considerable operational overhead and complexity.
D). Cloud Monitoring alerts on data freshness metric: Dataflow provides built-in metrics, including "data freshness" (or similar metrics like "system lag" or "processing time"), which indicate how far behind the pipeline is in processing data. If a job gets stuck, the data freshness will deteriorate beyond an acceptable threshold. Cloud Monitoring allows you to easily set up alerts based on these built-in metrics. This requires minimal custom coding and leverages the platform's existing monitoring capabilities, aligning with the "minimal management effort" requirement.
Therefore, setting up Cloud Monitoring alerts on relevant Dataflow metrics like data freshness is the most efficient and recommended way to detect stuck Dataflow jobs with minimal management overhead.
Google Cloud Documentation References:
Monitoring Dataflow Pipelines: https://cloud.google.com/dataflow/docs/guides/monitoring-your-pipeline - This document details the various metrics available for monitoring Dataflow jobs in Cloud Monitoring, including metrics related to processing time, system lag, and data freshness.
Creating Alerts in Cloud Monitoring: https://cloud.google.com/monitoring/alerts/create - Explains how to set up alerts based on metrics collected by Cloud Monitoring.
Dataflow Metrics: https://cloud.google.com/dataflow/docs/reference/monitoring-metrics - Provides a comprehensive list of Dataflow metrics that can be used for monitoring and alerting.


問題 #160
You have a number of compute instances belonging to an unmanaged instances group. You need to SSH to one of the Compute Engine instances to run an ad hoc script. You've already authenticated gcloud, however, you don't have an SSH key deployed yet. In the fewest steps possible, what's the easiest way to SSH to the instance?

答案：A

解題說明：
gcloud compute ssh ensures that the user's public SSH key is present in the project's metadata. If the user does not have a public SSH key, one is generated using ssh-keygen and added to the project's metadata. This is similar to the other option where we copy the key explicitly to the project's metadata but here it is done automatically for us. There are also security benefits with this approach. When we use gcloud compute ssh to connect to Linux instances, we are adding a layer of security by storing your host keys as guest attributes. Storing SSH host keys as guest attributes improve the security of your connections by helping to protect against vulnerabilities such as man-in-the-middle (MITM) attacks. On the initial boot of a VM instance, if guest attributes are enabled, Compute Engine stores your generated host keys as guest attributes.
Compute Engine then uses these host keys that were stored during the initial boot to verify all subsequent connections to the VM instance.


問題 #161
You've deployed a microservice called myapp1 to a Google Kubernetes Engine cluster using the YAML file specified below:

You need to refactor this configuration so that the database password is not stored in plain text. You want to follow Google-recommended practices. What should you do?

答案：C

解題說明：
https://cloud.google.com/config-connector/docs/how-to/secrets#gcloud


問題 #162
You are building an application that processes data files uploaded from thousands of suppliers. Your primary goals for the application are data security and the expiration of aged data. You need to design the application to:
*Restrict access so that suppliers can access only their own data.
*Give suppliers write access to data only for 30 minutes.
*Delete data that is over 45 days old.
You have a very short development cycle, and you need to make sure that the application requires minimal maintenance. Which two strategies should you use? (Choose two.)

答案：A,E

解題說明：
Explanation
(A) Object Lifecycle Management
Delete
The Delete action deletes an object when the object meets all conditions specified in the lifecycle rule.
Exception: In buckets with Object Versioning enabled, deleting the live version of an object causes it to become a noncurrent version, while deleting a noncurrent version deletes that version permanently.
https://cloud.google.com/storage/docs/lifecycle#delete
(B) Signed URLs
This page provides an overview of signed URLs, which you use to give time-limited resource access to anyone in possession of the URL, regardless of whether they have a Google account
https://cloud.google.com/storage/docs/access-control/signed-urls


問題 #163
Your manager asks you to deploy a workload to a Kubernetes cluster. You are not sure of the workload's resource requirements or how the requirements might vary depending on usage patterns, external dependencies, or other factors. You need a solution that makes cost-effective recommendations regarding CPU and memory requirements, and allows the workload to function consistently in any situation. You want to follow Google-recommended practices. What should you do?

答案：D


問題 #164
......

目前，全球500強中的90％企業都在使用 Google 公司的產品。Associate-Cloud-Engineer 認證是全球專業認證各領域中的權威認證。在IT世界裡，擁有 Google Associate-Cloud-Engineer 認證已成為最合適的加更簡單的方法來達到成功。這意味著，考生應努力通過考試才能獲得認證。而 KaoGuTi 考題大師致力與為客戶提供 Associate-Cloud-Engineer 認證的全真考題及認證學習資料，能夠幫助妳一次通過 Associate-Cloud-Engineer 認證考試。

Associate-Cloud-Engineer考題寶典: https://www.kaoguti.com/Associate-Cloud-Engineer_exam-pdf.html

P.S. KaoGuTi在Google Drive上分享了免費的2026 Google Associate-Cloud-Engineer考試題庫：https://drive.google.com/open?id=1cWnPuOdMEb0EEw6kRmydSrXsqbtRpaqq