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Google Associate-Cloud-Engineer Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Setting Up a Cloud Solution Environment	20-25%	- Managing billing configuration 1. Creating billing accounts 2. Setting up budget alerts and notifications 3. Linking billing to projects - 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
Topic 2: Configuring Access and Security	15-20%	- Viewing audit logs 1. Accessing and analyzing Cloud Audit Logs 2. Configuring audit log policies - Managing IAM resources 1. Creating and managing IAM roles 2. Defining custom IAM roles 3. Applying IAM policies to resources - Managing service accounts 1. Using service account keys 2. Creating and managing service accounts 3. Assigning service accounts to resources
Topic 3: Ensuring Successful Operation	15-20%	- Managing storage and data solutions 1. Configuring CORS and encryption 2. Setting lifecycle policies 3. Managing Cloud Storage buckets and objects - Managing Compute Engine resources 1. Resizing instances and persistent disks 2. Attaching and detaching disks 3. Managing instances, disks, and snapshots - 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 - Managing logging and monitoring 1. Using Cloud Monitoring and Logging 2. Viewing and analyzing logs 3. Creating metrics and alerts
Topic 4: Planning and Configuring a Cloud Solution	20-25%	- 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. Choosing between Cloud Storage, Filestore, Persistent Disk 2. Selecting appropriate storage classes - 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
Topic 5: 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 applications with Cloud Deployment Manager 1. Using templates for resource provisioning 2. Creating deployment configurations - Deploying and managing Compute Engine resources 1. Creating and managing custom machine types 2. Creating and managing managed instance groups 3. Creating and managing instances with startup scripts - Deploying and managing Cloud Run resources 1. Configuring memory limits and scaling settings 2. Deploying containerized applications to Cloud Run - Deploying and managing Cloud Functions 1. Configuring triggers and environment variables 2. Creating and triggering Cloud Functions

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Google Associate Cloud Engineer Exam Sample Questions (Q73-Q78):

NEW QUESTION # 73
You are building an application that stores relational data from users. Users across the globe will use this application. Your CTO is concerned about the scaling requirements because the size of the user base is unknown. You need to implement a database solution that can scale with your user growth with minimum configuration changes. Which storage solution should you use?

A. Cloud Datastore
B. Cloud Firestore
C. Cloud Spanner
D. Cloud SQL

Answer: C

Explanation:
Cloud Spanner is a relational database and is highly scalable. Cloud Spanner is a highly scalable, enterprise- grade, globally-distributed, and strongly consistent database service built for the cloud specifically to combine the benefits of relational database structure with a non-relational horizontal scale. This combination delivers high-performance transactions and strong consistency across rows, regions, and continents with an industry- leading 99.999% availability SLA, no planned downtime, and enterprise-grade security Ref: https://cloud.google.com/spanner Graphical user interface, application, Teams Description automatically generated

NEW QUESTION # 74
You received a JSON file that contained a private key of a Service Account in order to get access to several resources in a Google Cloud project. You downloaded and installed the Cloud SDK and want to use this private key for authentication and authorization when performing gcloud commands. What should you do?

A. Place the private key file in your home directory and rename it to
''GOOGLE_APPUCATION_CREDENTiALS".
B. Use the command gcloud auth activate-service-account and point it to the private key
C. Use the command gcloud auth login and point it to the private key
D. Place the private key file in the installation directory of the Cloud SDK and rename it to "credentials ison"

Answer: B

Explanation:
Authorizing with a service account
gcloud auth activate-service-account authorizes access using a service account. As with gcloud init and gcloud auth login, this command saves the service account credentials to the local system on successful completion and sets the specified account as the active account in your Cloud SDK configuration.
https://cloud.google.com/sdk/docs/authorizing#authorizing_with_a_service_account

NEW QUESTION # 75
You have a website hosted on App Engine standard environment. You want 1% of your users to see a new test version of the website. You want to minimize complexity. What should you do?

A. Create a new App Engine application in the same project. Deploy the new version in that application.
Use the App Engine library to proxy 1% of the requests to the new version.
B. Deploy the new version in the same application and use the --migrate option.
C. Create a new App Engine application in the same project. Deploy the new version in that application.
Configure your network load balancer to send 1% of the traffic to that new application.
D. Deploy the new version in the same application and use the --splits option to give a weight of 99 to the current version and a weight of 1 to the new version.

Answer: D

NEW QUESTION # 76
You manage an App Engine Service that aggregates and visualizes data from BigQuery. The application is deployed with the default App Engine Service account. The data that needs to be visualized resides in a different project managed by another team. You do not have access to this project, but you want your application to be able to read data from the BigQuery dataset. What should you do?

A. In Cloud IAM of your project, grant a newly created service account from the other team the role of BigQuery Job User in your project.
B. Ask the other team to grant your default App Engine Service account the role of BigQuery Data Viewer.
C. In Cloud IAM of your project, ensure that the default App Engine service account has the role of BigQuery Data Viewer.
D. Ask the other team to grant your default App Engine Service account the role of BigQuery Job User.

Answer: C

Explanation:
The Owner, Editor, and Viewer primitive roles include the BigQuery Admin (roles/bigquery.dataOwner), BigQuery Data Editor (roles/bigquery.dataEditor), and BigQuery Data Viewer (roles/bigquery.dataViewer) roles, respectively. This means the Owner, Editor, and Viewer primitive roles have BigQuery access as defined for the respective BigQuery roles.

NEW QUESTION # 77
The core business of your company is to rent out construction equipment at a large scale. All the equipment that is being rented out has been equipped with multiple sensors that send event information every few seconds. These signals can vary from engine status, distance traveled, fuel level, and more. Customers are billed based on the consumption monitored by these sensors.
You expect high throughput ?up to thousands of events per hour per device ?and need to retrieve consistent data based on the time of the event. Storing and retrieving individual signals should be atomic. What should you do?

A. Create a file in Cloud Filestore per device and append new data to that file.
B. Create a file in Cloud Storage per device and append new data to that file.
C. Ingest the data into Datastore. Store data in an entity group based on the device.
D. Ingest the data into Cloud Bigtable. Create a row key based on the event timestamp.

Answer: C

NEW QUESTION # 78
......

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