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Google Associate-Cloud-Engineer Exam Syllabus Topics:

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

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Google Associate Cloud Engineer Exam Associate-Cloud-Engineer Prüfungsfragen mit Lösungen (Q273-Q278):

273. Frage
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?

A. 1. Using Cloud VPN, create a VPN tunnel to a Virtual Private Cloud (VPC) in Google Cloud Platform (GCP).2. In this VPC, create a Compute Engine instance and install the Squid proxy server on this instance.3. Configure your servers to use that instance as a proxy to access Cloud Storage.
B. 1. Use Migrate for Compute Engine (formerly known as Velostrata) to migrate those servers to Compute Engine.2. Create an internal load balancer (ILB) that uses storage.googleapis.com as backend.
3. Configure your new instances to use this ILB as proxy.
C. 1. Use nslookup to get the IP address for storage.googleapis.com.2. Negotiate with the security team to be able to give a public IP address to the servers.3. Only allow egress traffic from those servers to the IP addresses for storage.googleapis.com.
D. 1. Using Cloud VPN or Interconnect, create a tunnel to a VPC in GCP.2. Use 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.3. In your on-premises network, configure your DNS server to resolve *.googleapis.com as a CNAME to restricted.googleapis.com.

Antwort: D

Begründung:
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.

274. Frage
Your organization has a dedicated person who creates and manages all service accounts for Google Cloud projects. You need to assign this person the minimum role for projects. What should you do?

A. Add the user to roles/iam.roleAdmin role.
B. Add the user to roles/iam.securityAdmin role.
C. Add the user to roles/iam.serviceAccountAdmin role.
D. Add the user to roles/iam.serviceAccountUser role.

Antwort: C

Begründung:
Reference: https://cloud.google.com/iam/docs/creating-managing-service-accounts Service Account User (roles/iam.serviceAccountUser): Includes permissions to list service accounts, get details about a service account, and impersonate a service account. Service Account Admin (roles/iam.
serviceAccountAdmin): Includes permissions to list service accounts and get details about a service account.
Also includes permissions to create, update, and delete service accounts, and to view or change the IAM policy on a service account.

275. Frage
You need to enable traffic between multiple groups of Compute Engine instances that are currently running two different GCP projects. Each group of Compute Engine instances is running in its own VPC. What should you do?

A. Verify that you are the Project Administrator of both projects. Create a new VPC and add all instances.
B. Verify that both projects are in a GCP Organization. Create a new VPC and add all instances.
C. Verify that you are the Project Administrator of both projects. Create two new VPCs and add all instances.
D. Verify that both projects are in a GCP Organization. Share the VPC from one project and request that the Compute Engine instances in the other project use this shared VPC.

Antwort: D

276. Frage
You want to select and configure a solution for storing and archiving data on Google Cloud Platform. You need to support compliance objectives for data from one geographic location. This data is archived after 30 days and needs to be accessed annually. What should you do?

A. Select Multi-Regional Storage. Add a bucket lifecycle rule that archives data after 30 days to Coldline Storage.
B. Select Regional Storage. Add a bucket lifecycle rule that archives data after 30 days to Coldline Storage.
C. Select Regional Storage. Add a bucket lifecycle rule that archives data after 30 days to Nearline Storage.
D. Select Multi-Regional Storage. Add a bucket lifecycle rule that archives data after 30 days to Nearline Storage.

Antwort: B

Begründung:
Google Cloud Coldline is a new cold-tier storage for archival data with access frequency of less than once per year. Unlike other cold storage options, Nearline has no delays prior to data access, so now it is the leading solution among competitors.
The Real description is about Coldline storage Class:
Coldline Storage
Coldline Storage is a very-low-cost, highly durable storage service for storing infrequently accessed data. Coldline Storage is a better choice than Standard Storage or Nearline Storage in scenarios where slightly lower availability, a 90-day minimum storage duration, and higher costs for data access are acceptable trade-offs for lowered at-rest storage costs.
Coldline Storage is ideal for data you plan to read or modify at most once a quarter. Note, however, that for data being kept entirely for backup or archiving purposes, Archive Storage is more cost-effective, as it offers the lowest storage costs.
https://cloud.google.com/storage/docs/storage-classes#coldline

277. Frage
You create a Deployment with 2 replicas in a Google Kubernetes Engine cluster that has a single preemptible node pool. After a few minutes, you use kubectlto examine the status of your Pod and observe that one of them is still in Pendingstatus:

What is the most likely cause?

A. Too many Pods are already running in the cluster, and there are not enough resources left to schedule the pending Pod.
B. The pending Pod was originally scheduled on a node that has been preempted between the creation of the Deployment and your verification of the Pods' status. It is currently being rescheduled on a new node.
C. The node pool is configured with a service account that does not have permission to pull the container image used by the pending Pod.
D. The pending Pod's resource requests are too large to fit on a single node of the cluster.

Antwort: B

Begründung:
As the node on which pod was scheduled to run was preempted & now this pod is scheduled to run on different preemtible node from the node-pool.

278. Frage
......

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