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Google Associate-Cloud-Engineer Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Deploying and Implementing a Cloud Solution20-25%- 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
- Deploying and managing Kubernetes Engine resources
  • 1. Configuring kubectl for cluster access
  • 2. Deploying workloads with Deployments and Services
  • 3. Creating and managing GKE clusters
- 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 managed instance groups
  • 2. Creating and managing custom machine types
  • 3. Creating and managing instances with startup scripts
Topic 2: Configuring Access and Security15-20%- Managing IAM resources
  • 1. Creating and managing IAM roles
  • 2. Defining custom IAM roles
  • 3. Applying IAM policies to resources
- Viewing audit logs
  • 1. Accessing and analyzing Cloud Audit Logs
  • 2. Configuring audit log policies
- Managing service accounts
  • 1. Using service account keys
  • 2. Creating and managing service accounts
  • 3. Assigning service accounts to resources
Topic 3: Setting Up a Cloud Solution Environment20-25%- 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. Managing billing budgets and alerts
  • 2. Creating and managing projects
  • 3. Assigning IAM roles to users and groups
Topic 4: Planning and Configuring a Cloud Solution20-25%- 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. Selecting appropriate machine types and zones
  • 2. Configuring persistent disks and local SSDs
- 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: Ensuring Successful Operation15-20%- Managing storage and data solutions
  • 1. Managing Cloud Storage buckets and objects
  • 2. Setting lifecycle policies
  • 3. Configuring CORS and encryption
- Managing Cloud Run resources
  • 1. Managing revisions and traffic splitting
  • 2. Configuring resource limits
- Managing Compute Engine resources
  • 1. Managing instances, disks, and snapshots
  • 2. Resizing instances and persistent disks
  • 3. Attaching and detaching 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

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Google Associate Cloud Engineer Exam Sample Questions (Q21-Q26):

NEW QUESTION # 21
You've deployed a microservice called myapp1 to a Google Kubernetes Engine cluster using the YAML file specified below:

You need to refactor this configuration so that the database password is not stored in plain text. You want to follow Google-recommended practices. What should you do?

Answer: D

Explanation:
https://cloud.google.com/config-connector/docs/how-to/secrets#gcloud


NEW QUESTION # 22
An application generates daily reports in a Compute Engine virtual machine (VM). The VM is in the project corp-iot-insights. Your team operates only in the project corp-aggregate-reports and needs a copy of the daily exports in the bucket corp-aggregate-reports-storage. You want to configure access so that the daily reports from the VM are available in the bucket corp-aggregate-reports-storage and use as few steps as possible while following Google-recommended practices. What should you do?

Answer: A

Explanation:
Reference:
https://cloud.google.com/billing/docs/onboarding-checklist


NEW QUESTION # 23
Your customer has implemented a solution that uses Cloud Spanner and notices some read latency-related performance issues on one table. This table is accessed only by their users using a primary key. The table schema is shown below.

You want to resolve the issue. What should you do?

Answer: B

Explanation:
As mentioned in Schema and data model, you should be careful when choosing a primary key to not accidentally create hotspots in your database. One cause of hotspots is having a column whose value monotonically increases as the first key part, because this results in all inserts occurring at the end of your key space. This pattern is undesirable because Cloud Spanner divides data among servers by key ranges, which means all your inserts will be directed at a single server that will end up doing all the work.https://cloud.
google.com/spanner/docs/schema-design#primary-key-prevent-hotspots


NEW QUESTION # 24
You are hosting an application on bare-metal servers in your own data center. The application needs access to Cloud Storage. However, security policies prevent the servers hosting the application from having public IP addresses or access to the internet. You want to follow Google-recommended practices to provide the application with access to Cloud Storage. What should you do?

Answer: C

Explanation:
Our requirement is to follow Google recommended practices to achieve the end result. Configuring Private Google Access for On-Premises Hosts is best achieved by VPN/Interconnect + Advertise Routes + Use restricted Google IP Range.
Using Cloud VPN or Interconnect, create a tunnel to a VPC in GCP
Using Cloud Router to create a custom route advertisement for 199.36.153.4/30. Announce that network to your on-premises network through the VPN tunnel.
In your on-premises network, configure your DNS server to resolve *.googleapis.com as a CNAME to restricted.googleapis.com is the right answer right, and it is what Google recommends.
Ref: https://cloud.google.com/vpc/docs/configure-private-google-access-hybrid You must configure routes so that Google API traffic is forwarded through your Cloud VPN or Cloud Interconnect connection, firewall rules on your on-premises firewall to allow the outgoing traffic, and DNS so that traffic to Google APIs resolves to the IP range youve added to your routes.
You can use Cloud Router Custom Route Advertisement to announce the Restricted Google APIs IP addresses through Cloud Router to your on-premises network. The Restricted Google APIs IP range is
199.36.153.4/30. While this is technically a public IP range, Google does not announce it publicly. This IP range is only accessible to hosts that can reach your Google Cloud projects through internal IP ranges, such as through a Cloud VPN or Cloud Interconnect connection. Without having a public IP address or access to the internet, the only way you could connect to cloud storage is if you have an internal route to it.
So Negotiate with the security team to be able to give public IP addresses to the servers is not right. Following Google recommended practices is synonymous with using Googles services (Not quite, but it is at least for the exam !!).
So In this VPC, create a Compute Engine instance and install the Squid proxy server on this instance is not right.
Migrating the VM to Compute Engine is a bit drastic when Google says it is perfectly fine to have Hybrid Connectivity architectures https://cloud.google.com/hybrid-connectivity.
So,
Use Migrate for Compute Engine (formerly known as Velostrata) to migrate these servers to Compute Engine is not right.


NEW QUESTION # 25
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?

Answer: A

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 # 26
......

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