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Google Associate-Cloud-Engineer Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Configuring Access and Security	15-20%	- Managing IAM resources 1. Creating and managing IAM roles 2. Applying IAM policies to resources 3. Defining custom IAM roles - Managing service accounts 1. Assigning service accounts to resources 2. Creating and managing service accounts 3. Using service account keys - Viewing audit logs 1. Configuring audit log policies 2. Accessing and analyzing Cloud Audit Logs
Topic 2: Setting Up a Cloud Solution Environment	20-25%	- Managing billing configuration 1. Linking billing to projects 2. Setting up budget alerts and notifications 3. Creating billing accounts - Setting up cloud projects and accounts 1. Creating and managing projects 2. Managing billing budgets and alerts 3. Assigning IAM roles to users and groups
Topic 3: Deploying and Implementing a Cloud Solution	20-25%	- Deploying and managing Kubernetes Engine resources 1. Deploying workloads with Deployments and Services 2. Creating and managing GKE clusters 3. Configuring kubectl for cluster access - 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 Functions 1. Configuring triggers and environment variables 2. Creating and triggering Cloud Functions - Deploying and managing Cloud Run resources 1. Configuring memory limits and scaling settings 2. Deploying containerized applications to Cloud Run - Deploying applications with Cloud Deployment Manager 1. Using templates for resource provisioning 2. Creating deployment configurations
Topic 4: 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 Compute Engine resources 1. Managing instances, disks, and snapshots 2. Attaching and detaching disks 3. Resizing instances and persistent disks - Managing logging and monitoring 1. Viewing and analyzing logs 2. Creating metrics and alerts 3. Using Cloud Monitoring and Logging - Managing Kubernetes Engine resources 1. Upgrading clusters 2. Managing workloads (Deployments, Services, HPA) 3. Scaling clusters and node pools - Managing Cloud Run resources 1. Managing revisions and traffic splitting 2. Configuring resource limits
Topic 5: Planning and Configuring a Cloud Solution	20-25%	- Planning and estimating GCP product usage 1. Reading documentation for compute, storage, and network resources 2. Using GCP Pricing Calculator - Planning and configuring compute resources 1. Configuring persistent disks and local SSDs 2. Selecting appropriate machine types and zones - Planning and configuring data storage options 1. Selecting appropriate storage classes 2. Choosing between Cloud Storage, Filestore, Persistent Disk - Planning and configuring network resources 1. Configuring load balancing and firewall rules 2. Designing VPC networks

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Google Associate Cloud Engineer Exam Sample Questions (Q237-Q242):

NEW QUESTION # 237
You need to manage a third-party application that will run on a Compute Engine instance. Other Compute Engine instances are already running with default configuration. Application installation files are hosted on Cloud Storage. You need to access these files from the new instance without allowing other virtual machines (VMs) to access these files. What should you do?

A. Create a new service account and assign this service account to the new instance Add metadata to the objects on Cloud Storage that matches the metadata on the new instance.
B. Create the instance with the default Compute Engine service account Grant the service account permissions on Cloud Storage.
C. Create the instance with the default Compute Engine service account Add metadata to the objects on Cloud Storage that matches the metadata on the new instance.
D. Create a new service account and assign this service account to the new instance Grant the service account permissions on Cloud Storage.

Answer: C

Explanation:
https://cloud.google.com/iam/docs/best-practices-for-using-and-managing-service-accounts If an application uses third-party or custom identities and needs to access a resource, such as a BigQuery dataset or a Cloud Storage bucket, it must perform a transition between principals. Because Google Cloud APIs don't recognize third-party or custom identities, the application can't propagate the end-user's identity to BigQuery or Cloud Storage. Instead, the application has to perform the access by using a different Google identity.

NEW QUESTION # 238
You are working for a hospital that stores Its medical images in an on-premises data room. The hospital wants to use Cloud Storage for archival storage of these images. The hospital wants an automated process to upload any new medical images to Cloud Storage. You need to design and implement a solution. What should you do?

A. Create a Pub/Sub topic, and enable a Cloud Storage trigger for the Pub/Sub topic. Create an application that sends all medical images to the Pub/Sub lope
B. In the Cloud Console, go to Cloud Storage Upload the relevant images to the appropriate bucket
C. Create a script that uses the gsutil command line interface to synchronize the on-premises storage with Cloud Storage Schedule the script as a cron job
D. Deploy a Dataflow job from the batch template "Datastore lo Cloud Storage" Schedule the batch job on the desired interval

Answer: C

Explanation:
Explanation
they require cloud storage for archival and the want to automate the process to upload new medical image to cloud storage, hence we go for gsutil to copy on-prem images to cloud storage and automate the process via cron job. whereas Pub/Sub listens to the changes in the Cloud Storage bucket and triggers the pub/sub topic, which is not required.

NEW QUESTION # 239
A colleague handed over a Google Cloud 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. In the Google Cloud console, validate which SSH keys have been stored as project-wide keys.
B. Enable Audit logs on the IAM & admin page for all resources, and validate the results.
C. Use the gcloud projects get-iam-policy command to view the current role assignments.
D. Navigate to Identity-Aware Proxy and check the permissions for these resources.

Answer: C

Explanation:
The gcloud projects get-iam-policy command displays the IAM policy for a project, which includes the roles and members assigned to those roles. The Project Owner role grants full access to all resources and actions in the project. By using this command, you can review who has been granted this role and make any necessary changes. References:
* 1: Associate Cloud Engineer Certification Exam Guide | Learn - Google Cloud
* 2: gcloud projects get-iam-policy | Cloud SDK Documentation | Google Cloud
* 3: Understanding roles | Cloud IAM Documentation | Google Cloud

NEW QUESTION # 240
You are building a backend service for an ecommerce platform that will persist transaction data from mobile and web clients. After the platform is launched, you expect a large volume of global transactions. Your business team wants to run SQL queries to analyze the dat a. You need to build a highly available and scalable data store for the platform. What should you do?

A. Create a multi-region BigQuery dataset with optimized tables.
B. Create a multi-region Cloud SQL for PostgreSQL database with optimized indexes.
C. Create a multi-region Cloud Spanner instance with an optimized schema.
D. Create a multi-region Firestore database with aggregation query enabled.

Answer: C

NEW QUESTION # 241
You are using Data Studio to visualize a table from your data warehouse that is built on top of BigQuery. Data is appended to the data warehouse during the day. At night, the daily summary is recalculated by overwriting the table. You just noticed that the charts in Data Studio are broken, and you want to analyze the problem. What should you do?

A. Review the Error Reporting page in the Cloud Console to find any errors.
B. In Cloud Logging create a filter for your Data Studio report
C. Use the BigQuery interface to review the nightly Job and look for any errors
D. Use Cloud Debugger to find out why the data was not refreshed correctly

Answer: D

NEW QUESTION # 242
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