Associate-Cloud-Engineer Fragen&Antworten & Associate-Cloud-Engineer Prüfungs-Guide

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Google Associate-Cloud-Engineer Exam Syllabus Topics:

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

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Associate-Cloud-Engineer Aktuelle Prüfung - Associate-Cloud-Engineer Prüfungsguide & Associate-Cloud-Engineer Praxisprüfung

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Google Associate Cloud Engineer Exam Associate-Cloud-Engineer Prüfungsfragen mit Lösungen (Q95-Q100):

95. Frage
Your company's accounting department needs to run an overnight batch workload every day. You must implement a solution that minimizes the cost to run this workload and automatically retries the batch if an execution fails. What should you do?

A. Develop a web application that listens for incoming requests, and deploy the application as a Cloud Run service. Use Cloud Scheduler to call the HTTP endpoint.
B. Develop a web application that listens for incoming requests, and deploy the application as a Google Kubernetes Engine (GKE) Deployment. Use Cloud Scheduler to call the HTTP endpoint.
C. Develop an application that runs the batch workload, and deploy the application as a Cloud Run job. Use Cloud Scheduler to trigger the job.
D. Develop an application that runs the batch workload, and deploy the application as a Google Kubernetes Engine (GKE) CronJob.

Antwort: C

Begründung:
Developing an application that runs the batch workload and deploying it as a Cloud Run job is the best solution. Cloud Run jobs are serverless, cost-efficient, and automatically scale based on demand, allowing you to pay only for the resources used during execution. You can also use Cloud Scheduler to trigger the job on a schedule. Additionally, Cloud Run supports automatic retries, which meets the requirement for retrying the batch if an execution fails.

96. 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 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.
B. 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.
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. 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.

Antwort: A

Begründung:
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.

97. Frage
Your company has embraced a hybrid cloud strategy where some of the applications are deployed on Google Cloud. A Virtual Private Network (VPN) tunnel connects your Virtual Private Cloud (VPC) in Google Cloud with your company's on-premises network. Multiple applications in Google Cloud need to connect to an on-premises database server, and you want to avoid having to change the IP configuration in all of your applications when the IP of the database changes.
What should you do?

A. Configure Cloud NAT for all subnets of your VPC to be used when egressing from the VM instances.
B. Create a private zone on Cloud DNS, and configure the applications with the DNS name.
C. Configure the IP of the database as custom metadata for each instance, and query the metadata server.
D. Query the Compute Engine internal DNS from the applications to retrieve the IP of the database.

Antwort: B

Begründung:
Forwarding zones Cloud DNS forwarding zones let you configure target name servers for specific private zones. Using a forwarding zone is one way to implement outbound DNS forwarding from your VPC network. A Cloud DNS forwarding zone is a special type of Cloud DNS private zone. Instead of creating records within the zone, you specify a set of forwarding targets. Each forwarding target is an IP address of a DNS server, located in your VPC network, or in an on-premises network connected to your VPC network by Cloud VPN or Cloud Interconnect.
https://cloud.google.com/nat/docs/overview
DNS configuration Your on-premises network must have DNS zones and records configured so that Google domain names resolve to the set of IP addresses for either private.googleapis.com or restricted.googleapis.com. You can create Cloud DNS managed private zones and use a Cloud DNS inbound server policy, or you can configure on-premises name servers. For example, you can use BIND or Microsoft Active Directory DNS. https://cloud.google.com/vpc/docs/configure-private-google-access-hybrid#config-domain

98. Frage
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 Spanner
C. Cloud Firestore
D. Cloud SQL

Antwort: B

Begründung:
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

99. Frage
You have a project for your App Engine application that serves a development environment. The required testing has succeeded and you want to create a new project to serve as your production environment. What should you do?

A. Use gcloud to create the new project and to copy the deployed application to the new project.
B. Use gcloud to create the new project, and then deploy your application to the new project.
C. Deploy your application again using gcloud and specify the project parameter with the new project name to create the new project.
D. Create a Deployment Manager configuration file that copies the current App Engine deployment into a new project.

Antwort: B

Begründung:
You can deploy to a different project by using -project flag.
By default, the service is deployed the current project configured via:
$ gcloud config set core/project PROJECT
To override this value for a single deployment, use the -project flag:
$ gcloud app deploy ~/my_app/app.yaml -project=PROJECT
Ref: https://cloud.google.com/sdk/gcloud/reference/app/deploy

100. Frage
......

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