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Google Associate-Cloud-Engineer Exam Syllabus Topics:

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

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Google Associate Cloud Engineer Exam Sample Questions (Q172-Q177):

NEW QUESTION # 172
You are responsible for a web application on Compute Engine. You want your support team to be notified automatically if users experience high latency for at least 5 minutes. You need a Google-recommended solution with no development cost. What should you do?

A. Implement an App Engine service which invokes the Cloud Monitoring API and sends a notification in case of anomalies.
B. Export Cloud Monitoring metrics to BigQuery and use a Looker Studio dashboard to monitor your web applications latency.
C. Use the Cloud Monitoring dashboard to observe latency and take the necessary actions when the response latency exceeds the specified threshold.
D. Create an alert policy to send a notification when the HTTP response latency exceeds the specified threshold.

Answer: D

NEW QUESTION # 173
An application publishes Amazon SNS messages in response to several events. An AWS Lambda function subscribes to these messages. Occasionally the function will fail while processing a message, so the original event message must be preserved for root cause analysis.
What architecture will meet these requirements without changing the workflow?

A. Subscribe an Amazon SQS queue to the Amazon SNS topic and trigger the Lambda function from the queue.
B. Configure the Amazon SNS topic to invoke the Lambda function synchronously.
C. Configure Lambda to write failures to an SQS Dead Letter Queue.
D. Configure a Dead Letter Queue for the Amazon SNS topic.

Answer: A

NEW QUESTION # 174
You create a Deployment with 2 replicas in a Google Kubernetes Engine cluster that has a single preemptible node pool. After a few minutes, you use kubectl to examine the status of your Pod and observe that one of them is still in Pending status:

What is the most likely cause?

A. The node pool is configured with a service account that does not have permission to pull the container image used by the pending Pod.
B. The pending Pod was originally scheduled on a node that has been preempted between the creation of the Deployment and your verification of the Pods' status. It is currently being rescheduled on a new node.
C. The pending Pod's resource requests are too large to fit on a single node of the cluster.
D. Too many Pods are already running in the cluster, and there are not enough resources left to schedule the pending Pod.

Answer: D

NEW QUESTION # 175
You manage three Google Cloud projects with the Cloud Monitoring API enabled. You want to follow Google-recommended practices to visualize CPU and network metrics for all three projects together. What should you do?

A. 1. Create a Cloud Monitoring Dashboard.
2. Select the CPU and Network metrics from the three projects.
3. Add CPU and network Charts lot each of the three protects.
B. 1. Create a fourth Google Cloud project
2 Create a Cloud Workspace from the fourth project and add the other three projects
C. 1. Create a Cloud Monitoring Dashboard
2. Collect metrics and publish them into the Pub/Sub topics 3. Add CPU and network Charts (or each of (he three projects
D. 1 Create a Service Account and apply roles/viewer on the three projects
2. Collect metrics and publish them lo the Cloud Monitoring API
3. Add CPU and network Charts for each of the three projects.

Answer: A

NEW QUESTION # 176
You want to configure 10 Compute Engine instances for availability when maintenance occurs. Your requirements state that these instances should attempt to automatically restart if they crash. Also, the instances should be highly available including during system maintenance. What should you do?

A. Create an instance templated for the instances. Set 'Automatic Restart' to off. Set 'On-host maintenance' to Terminate VM instances. Add the instance template to an instance group.
B. Create an instance template for the instances. Set the 'Automatic Restart' to on. Set the 'On-host maintenance' to Migrate VM instance. Add the instance template to an intsance group.
C. Create an instance group for the instance. Verify that the 'Advanced creation options' setting for 'do not retry machine creation' is set to off.
D. Create an instance group for the instances. Set the 'Autohealing' health check to healthy (HTTP).

Answer: A

NEW QUESTION # 177
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