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Google Associate-Cloud-Engineer Exam Syllabus Topics:

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

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Google Associate Cloud Engineer Exam Sample Questions (Q106-Q111):

NEW QUESTION # 106
You have a Google Cloud Platform account with access to both production and development projects. You need to create an automated process to list all compute instances in development and production projects on a daily basis. What should you do?

A. Go to Cloud Shell and export this information to Cloud Storage on a daily basis.
B. Create two configurations using gcloud config. Write a script that sets configurations as active, individually. For each configuration, use gcloud compute instances list to get a list of compute resources.
C. Create two configurations using gsutil config. Write a script that sets configurations as active, individually. For each configuration, use gsutil compute instances list to get a list of compute resources.
D. Go to GCP Console and export this information to Cloud SQL on a daily basis.

Answer: B

Explanation:
gcloud compute instances list - list Google Compute Engine instances
gcloud compute instances list displays all Google Compute Engine instances in a project.
By default, instances from all zones are listed. The results can be narrowed down using a filter: -- filter="zone:( ZONE ... )".
https://cloud.google.com/sdk/gcloud/reference/compute/instances/list

NEW QUESTION # 107
You are running multiple VPC-native Google Kubernetes Engine clusters in the same subnet. The IPs available for the nodes are exhausted, and you want to ensure that the clusters can grow in nodes when needed. What should you do?

A. Add an alias IP range to the subnet used by the GKE clusters.
B. Expand the CIDR range of the relevant subnet for the cluster.
C. Create a new VPC, and set up VPC peering with the existing VPC.
D. Create a new subnet in the same region as the subnet being used.

Answer: B

Explanation:
gcloud compute networks subnets expand-ip-range NAME gcloud compute networks subnets expand-ip-range - expand the IP range of a Compute Engine subnetwork https://cloud.google.com/sdk/gcloud/reference/compute/networks/subnets/expand-ip-range

NEW QUESTION # 108
Your company set up a complex organizational structure on Google Could Platform. The structure includes hundreds of folders and projects. Only a few team members should be able to view the hierarchical structure.
You need to assign minimum permissions to these team members and you want to follow Google-recommended practices. What should you do?

A. Add the users to a group, and add this group to roles/browser role.
B. Add the users to a group, and add this group to roles/iam.roleViewer role.
C. Add the users to roles/iam.roleViewer role.
D. Add the users to roles/browser role.

Answer: A

Explanation:
We need to apply the GCP Best practices. roles/browser Browser Read access to browse the hierarchy for a project, including the folder, organization, and IAM policy. This role doesn't include permission to view resources in the project.https://cloud.google.com/iam/docs/understanding-roles

NEW QUESTION # 109
You have an application that uses Cloud Spanner as a database backend to keep current state information about users. Cloud Bigtable logs all events triggered by users. You export Cloud Spanner data to Cloud Storage during daily backups. One of your analysts asks you to join data from Cloud Spanner and Cloud Bigtable for specific users. You want to complete this ad hoc request as efficiently as possible. What should you do?

A. Create a dataflow job that copies data from Cloud Bigtable and Cloud Storage for specific users.
B. Create a dataflow job that copies data from Cloud Bigtable and Cloud Spanner for specific users.
C. Create two separate BigQuery external tables on Cloud Storage and Cloud Bigtable. Use the BigQuery console to join these tables through user fields, and apply appropriate filters.
D. Create a Cloud Dataproc cluster that runs a Spark job to extract data from Cloud Bigtable and Cloud Storage for specific users.

Answer: C

Explanation:
Explanation
"The Cloud Spanner to Cloud Storage Text template is a batch pipeline that reads in data from a Cloud Spanner table, optionally transforms the data via a JavaScript User Defined Function (UDF) that you provide, and writes it to Cloud Storage as CSV text files."
https://cloud.google.com/dataflow/docs/guides/templates/provided-batch#cloudspannertogcstext
"The Dataflow connector for Cloud Spanner lets you read data from and write data to Cloud Spanner in a Dataflow pipeline"
https://cloud.google.com/spanner/docs/dataflow-connector
https://cloud.google.com/bigquery/external-data-sources

NEW QUESTION # 110
You created a Google Cloud Platform project with an App Engine application inside the project. You initially configured the application to be served from the us-central region. Now you want the application to be served from the asia-northeast1 region. What should you do?

A. Change the default region property setting in the existing GCP project to asia-northeast1.
B. Change the region property setting in the existing App Engine application from us-central to asia-northeast1.
C. Create a new GCP project and create an App Engine application inside this new project. Specify asia-northeast1 as the region to serve your application.
D. Create a second App Engine application in the existing GCP project and specify asia-northeast1 as the region to serve your application.

Answer: C

Explanation:
https://cloud.google.com/appengine/docs/flexible/managing-projects-apps-billing#:~:text=Each%20Cloud%20pr Two App engine can't be running on the same project: you can check this easy diagram for more info:
https://cloud.google.com/appengine/docs/standard/an-overview-of-app-engine#components_of_an_application And you can't change location after setting it for your app Engine.
https://cloud.google.com/appengine/docs/standard/locations
App Engine is regional and you cannot change an apps region after you set it. Therefore, the only way to have an app run in another region is by creating a new project and targeting the app engine to run in the required region (asia-northeast1 in our case).
Ref: https://cloud.google.com/appengine/docs/locations

NEW QUESTION # 111
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