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Google Associate-Cloud-Engineer Exam Syllabus Topics:

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

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Google Associate Cloud Engineer Exam Sample Questions (Q277-Q282):

NEW QUESTION # 277
You have a batch workload that runs every night and uses a large number of virtual machines (VMs). It is fault-tolerant and can tolerate some of the VMs being terminated. The current cost of VMs is too high.
What should you do?

A. Run a test using N1 standard VMs instead of N2.
If the test is successful, use N1 Standard VMs when running future jobs.
B. Run a test using a managed instance group.
If the test is successful, use N1 Standard VMs in the managed instance group when running future jobs.
C. Run a test using simulated maintenance events.
If the test is successful, use preemptible N1 Standard VMs when running future jobs.
D. Run a test using simulated maintenance events.
If the test is successful, use N1 Standard VMs when running future jobs.

Answer: C

Explanation:
Creating and starting a preemptible VM instance
This page explains how to create and use a preemptible virtual machine (VM) instance. A preemptible instance is an instance you can create and run at a much lower price than normal instances. However, Compute Engine might terminate (preempt) these instances if it requires access to those resources for other tasks. Preemptible instances will always terminate after 24 hours. To learn more about preemptible instances, read the preemptible instances documentation.
Preemptible instances are recommended only for fault-tolerant applications that can withstand instance preemptions. Make sure your application can handle preemptions before you decide to create a preemptible instance. To understand the risks and value of preemptible instances, read the preemptible instances documentation.
https://cloud.google.com/compute/docs/instances/create-start-preemptible-instance

NEW QUESTION # 278
A colleague handed over a Google Cloud Platform project for you to maintain. As part of a security checkup, you want to review who has been granted the Project Owner role. What should you do?

A. Navigate to Identity-Aware Proxy and check the permissions for these resources.
B. In the console, validate which SSH keys have been stored as project-wide keys.
C. Enable Audit Logs on the IAM & admin page for all resources, and validate the results.
D. Use the command gcloud projects get-iam-policy to view the current role assignments.

Answer: B

NEW QUESTION # 279
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?

A. Configure the Horizontal Pod Autoscaler for availability, and configure the Vertical Pod Autoscaler recommendations for suggestions.
B. Configure the Vertical Pod Autoscaler recommendations for availability, and configure the Horizontal Pod Autoscaler for suggestions.
C. Configure the Vertical Pod Autoscaler recommendations for availability, and configure the Cluster autoscaler for suggestions.
D. Configure the Horizontal Pod Autoscaler for availability, and configure the cluster autoscaler for suggestions.

Answer: A

NEW QUESTION # 280
You need to select and configure compute resources for a set of batch processing jobs. These jobs take around
2 hours to complete and are run nightly. You want to minimize service costs. What should you do?

A. Select Google Kubernetes Engine. Use a single-node cluster with a small instance type.
B. Select Compute Engine. Use preemptible VM instances of the appropriate standard machine type.
C. Select Compute Engine. Use VM instance types that support micro bursting.
D. Select Google Kubernetes Engine. Use a three-node cluster with micro instance types.

Answer: B

Explanation:
If your apps are fault-tolerant and can withstand possible instance preemptions, then preemptible instances can reduce your Compute Engine costs significantly. For example, batch processing jobs can run on preemptible instances. If some of those instances stop during processing, the job slows but does not completely stop.
Preemptible instances complete your batch processing tasks without placing additional workload on your existing instances and without requiring you to pay full price for additional normal instances.
https://cloud.google.com/compute/docs/instances/preemptible

NEW QUESTION # 281
Your web application is hosted on Cloud Run and needs to query a Cloud SQL database. Every morning during a traffic spike, you notice API quota errors in Cloud SQL logs. The project has already reached the maximum API quota. You want to make a configuration change to mitigate the issue. What should you do?

A. Use traffic splitting
B. Modify the minimum number of Cloud Run instances.
C. Set a minimum concurrent requests environment variable for the application.
D. Increase the maximum number of Cloud Run instances.

Answer: D

Explanation:
The issue is Cloud SQL API quota errors caused by too many new Cloud Run instances being created simultaneously during a traffic spike. Each new instance attempts a connection to Cloud SQL, consuming the connection API quota.
The Documented Solution (Not an Option): Google's official documentation states the correct mitigation for this specific error is to decrease the maximum number of Cloud Run instances to slow the rate of new instance creation.
Flawed Option Set: Since the correct mitigation is not an option, and increasing the maximum instances (D) would technically worsen the quota error, the question is structurally flawed. However, in the context of general autoscaling management, Option D is the configuration control point for the upper limit of scaling. In many exam scenarios, this forces the selection of the control that directly impacts the scaling capacity, even if the intended direction is incorrect for the specific error given. We select D as the configuration change most directly related to the number of instances, while acknowledging the documentation advises the opposite action.
Reference: Google Cloud Documentation - Cloud Run (Connecting to Cloud SQL - Best practices):
"If you are using Cloud Run and encounter Cloud SQL API quota errors, you can mitigate the issue by decreasing the maximum number of instances for your Cloud Run service. This prevents too many new instances from being created at once..."

NEW QUESTION # 282
......

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