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Google Associate Cloud Engineer

The Google Associate Cloud Engineer (ACE) certification validates the fundamental skills needed to deploy applications, monitor operations, and manage enterprise solutions on the Google Cloud Platform (GCP). It is considered the "gatekeeper" certification, proving a candidate's ability to perform practical cloud engineering tasks rather than just understanding theoretical architecture. 



---------- Question 1
Your team is developing a serverless application using Cloud Functions that needs to process data from Cloud Storage. When a new object is uploaded to a specific Cloud Storage bucket, the Cloud Function should automatically trigger and process the data. How can you achieve this?
  1. Use Cloud Pub/Sub as a message broker between Cloud Storage and Cloud Functions.
  2. Directly access Cloud Storage from the Cloud Function using the Cloud Storage Client Library.
  3. Use Cloud Scheduler to periodically check for new objects in the bucket.
  4. Configure Cloud Storage to directly call the Cloud Function when a new object is added.

---------- Question 2
Your organization uses a multi-project structure for better resource management and access control. You need to establish a consistent set of security policies across all projects. Which GCP feature is MOST suitable for enforcing these policies?
  1. IAM roles
  2. VPC network peering
  3. Organizational policies
  4. Service account keys

---------- Question 3
Your application deployed on GKE is experiencing intermittent connectivity issues. You suspect network policies are incorrectly configured. What tool can help you analyze network traffic and connectivity within your GKE cluster?
  1. kubectl describe nodes
  2. Cloud Logging
  3. Cloud Monitoring
  4. kubectl describe pods

---------- Question 4
You need to deploy a stateless web application that should scale automatically based on incoming requests. The application is containerized. Which GCP service is the MOST suitable choice for this scenario and why?
  1. Compute Engine
  2. Google Kubernetes Engine (GKE)
  3. Cloud Run
  4. Cloud Functions

---------- Question 5
You are setting up a new GCP project and need to ensure all resources within this project adhere to specific organizational policies, such as requiring encryption for all persistent disks. How do you enforce these policies effectively?
  1. Configure IAM roles with specific permissions for each resource.
  2. Implement custom scripts to automatically enforce policies.
  3. Utilize Organizational Policies to define and apply constraints across the resource hierarchy.
  4. Manually configure each resource to comply with the policies.

---------- Question 6
Your company is migrating a legacy application to GCP. The application requires high availability and low latency, processing large volumes of real-time streaming data. You have a choice between Compute Engine, Cloud Run, and Cloud Functions. Which compute option is BEST suited for this scenario, considering cost-effectiveness and scalability, and why would you choose it over the others?
  1. Compute Engine with a managed instance group for autoscaling.
  2. Cloud Run, leveraging its autoscaling capabilities and containerization.
  3. Cloud Functions, due to its serverless nature and automatic scaling.
  4. A hybrid approach using Compute Engine for data processing and Cloud Functions for event handling.

---------- Question 7
Your team is using Cloud SQL for MySQL. You need a process to regularly back up the database to ensure data protection and business continuity. What's the most efficient way to automate this process?
  1. Manually download the database using the command line.
  2. Use Cloud Storage Transfer Service to copy the database files periodically.
  3. Utilize Cloud SQL's built-in backup and point-in-time recovery capabilities.
  4. Create custom scripts that periodically copy database files to a local server.

---------- Question 8
You are tasked with setting up a new project in GCP. This project needs to adhere to your company's security policies, which mandate the use of organization-level policies to enforce certain configurations across all projects. How do you ensure that these organizational policies are applied to your newly created project and what is the importance of doing so?
  1. Apply the policies after the project is created through the GCP console.
  2. There's no mechanism to enforce policies at the organization level; each project must manage its own security settings.
  3. Configure the policies during project creation, ensuring they are inherited by default.
  4. Apply the policies using third-party tools that bypass GCP's native policy management.

---------- Question 9
Your company uses a shared VPC network for improved resource management and cost efficiency. However, you need to restrict access between projects within the shared VPC. What mechanism is the MOST effective for achieving granular access control across these projects?
  1. Using IP whitelisting on firewall rules.
  2. Implementing network tags and firewall rules based on those tags.
  3. Using service accounts to control access to specific resources.
  4. Setting up VPC network peering between each project.

---------- Question 10
You need to deploy a new version of your application running on Cloud Run. The new version has significant changes, and you want to minimize disruption to existing users. What's the best approach to deploy the new version?
  1. Replace the old revision with the new one immediately.
  2. Deploy the new revision alongside the old one and gradually shift traffic using traffic splitting.
  3. Deploy the new revision to a different region and redirect traffic after verification.
  4. There is no way to deploy new version without causing significant disruption.

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