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Google Associate-Cloud-Engineer Exam Syllabus Topics:

Section	Weight	Objectives
Configuring access and security	17.5%	- Configuring network security 1. Manage security controls 2. Configure private access 3. Secure VPC networks - Managing IAM 1. Define roles and permissions 2. Implement least privilege access 3. Manage service accounts - Managing data security 1. Manage access to data 2. Enable encryption
Planning and configuring a cloud solution	17.5%	- Planning and configuring storage resources 1. Plan data durability and availability 2. Select storage classes - Planning and configuring compute resources 1. Choose storage options 2. Plan instance configuration 3. Select compute options 4. Plan data storage solutions - Planning and configuring network resources 1. Plan hybrid connectivity 2. Plan firewall rules 3. Choose load balancing options 4. Design VPC networks
Deploying and implementing a cloud solution	25%	- Deploying and implementing Google Kubernetes Engine resources 1. Deploy workloads 2. Configure networking for GKE 3. Create and manage clusters - Deploying and implementing Compute Engine resources 1. Configure access and security 2. Launch virtual machines 3. Manage images and snapshots 4. Create managed instance groups - Deploying and implementing serverless resources 1. Create Cloud Functions 2. Deploy Cloud Run services - Deploying and implementing data solutions 1. Set up data processing pipelines 2. Provision databases
Ensuring successful operation of a cloud solution	20%	- Managing resources 1. Scale resources 2. Troubleshoot common issues 3. Update configurations - Monitoring and logging 1. Use Cloud Monitoring 2. Set up alerts 3. Use Cloud Logging - Managing cost and performance 1. Analyze cost reports 2. Optimize resource usage
Setting up a cloud solution environment	20%	- Managing billing configuration 1. Configure billing exports 2. Create and manage billing accounts 3. Set budgets and alerts 4. Link projects to billing accounts - Setting up cloud projects and accounts 1. Enable APIs 2. Manage quotas and limits 3. Apply organizational policies 4. Manage IAM roles and permissions 5. Create resource hierarchy 6. Manage users and groups

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Google Associate Cloud Engineer Exam Sample Questions (Q328-Q333):

NEW QUESTION # 328
You are building an archival solution for your data warehouse and have selected Cloud Storage to archive your dat a. Your users need to be able to access this archived data once a quarter for some regulatory requirements. You want to select a cost-efficient option. Which storage option should you use?

A. Cold Storage
B. Nearline Storage
C. Multi-Regional Storage
D. Regional Storage

Answer: B

Explanation:
Nearline, Coldline, and Archive offer ultra low-cost, highly-durable, highly available archival storage. For data accessed less than once a year, Archive is a cost-effective storage option for long-term preservation of data.
Coldline is also ideal for cold storage-data your business expects to touch less than once a quarter. For warmer storage, choose Nearline: data you expect to access less than once a month, but possibly multiple times throughout the year. All storage classes are available across all GCP regions and provide unparalleled sub-second access speeds with a consistent API.

NEW QUESTION # 329
Your existing application running in Google Kubernetes Engine (GKE) consists of multiple pods running on four GKE n1-standard-2 nodes. You need to deploy additional pods requiring n2- highmem-16 nodes without any downtime. What should you do?

A. Create a new Node Pool and specify machine type n2-highmem-16.
Deploy the new pods.
B. Create a new cluster with n2-highmem-16 nodes.
Redeploy the pods and delete the old cluster.
C. Use gcloud container clusters upgrade.
Deploy the new services.
D. Create a new cluster with both n1-standard-2 and n2-highmem-16 nodes.
Redeploy the pods and delete the old cluster.

Answer: A

Explanation:
When you need to change the machine profile of your Compute Engine cluster, you can create a new node pool and then migrate your workloads over to the new node pool.

NEW QUESTION # 330
You are creating an application that will run on Google Kubernetes Engine. You have identified MongoDB as the most suitable database system for your application and want to deploy a managed MongoDB environment that provides a support SLA. What should you do?

A. Download a MongoDB installation package, and run it on a Managed Instance Group
B. Download a MongoDB installation package and run it on Compute Engine instances
C. Create a Cloud Bigtable cluster and use the HBase API
D. Deploy MongoDB Alias from the Google Cloud Marketplace

Answer: D

Explanation:
https://console.cloud.google.com/marketplace/details/gc-launcher-for-mongodb-atlas/mongodb-atlas

NEW QUESTION # 331
You have experimented with Google Cloud using your own credit card and expensed the costs to your company. Your company wants to streamline the billing process and charge the costs of your projects to their monthly invoice. What should you do?

A. Grant the financial team the IAM role of Billing Account User'S on the billing account linked to your credit card.
B. Change the billing account of your projects to the billing account of your company.
C. Set up BigQuery billing export and grant your financial department IAM access to query the data.
D. Create a ticket with Google Billing Support to ask them to send the invoice to your company.

Answer: B

NEW QUESTION # 332
Your development team has packaged and pushed a new container image to Artifact Registry. Due to design requirements, the application must be able to scale to zero. You need to take this image to production as quickly as possible while following the design requirements. What should you do?

A. Create an app.yaml file that specifies the container images, and deploy it to the App Engine Flexible environment.
B. Deploy the application directly to Cloud Run.
C. Create an instance template for the container, and use it to create a managed instance group behind an external Application Load Balancer.
D. Write a Kubernetes Deployment and a Service manifest (YAML), and apply them to a Google Kubernetes Engine cluster.

Answer: B

Explanation:
The correct answer is D because Cloud Run is designed to run containerized applications directly from container images and can scale down to zero when there is no traffic. It is also the fastest production path because it removes the need to manage servers, clusters, instance templates, or Kubernetes manifests. A managed instance group behind a load balancer does not scale to zero in the same serverless way and requires more infrastructure work. App Engine Flexible runs containers but does not match the direct Artifact Registry-to-serverless deployment pattern as cleanly. GKE gives control, but it requires cluster and Kubernetes resource management and is slower operationally. Cloud Run satisfies both speed and scale-to-zero requirements.

NEW QUESTION # 333
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