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Associate-Cloud-Engineer Study Guide Pdf - Relevant Associate-Cloud-Engineer Questions
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Google Associate Cloud Engineer certification exam is an excellent way for individuals to gain a strong foundational knowledge and skills in cloud computing and to demonstrate their proficiency in operating and deploying applications, infrastructure, and services on the Google Cloud Platform.
The Google Associate Cloud Engineer Exam certification exam is intended for professionals who are involved in cloud computing or are looking to build their knowledge and skills in managing cloud services. Associate-Cloud-Engineer exam is also suitable for IT professionals who are interested in gaining knowledge of the Google Cloud Platform.
Google Associate-Cloud-Engineer Certification Exam is designed to test the candidate's proficiency in various GCP services, including compute, storage, networking, and security. Associate-Cloud-Engineer exam focuses on practical scenarios, requiring candidates to demonstrate their ability to design, deploy, and manage GCP solutions. Associate-Cloud-Engineer exam also covers essential cloud computing concepts such as scalability, reliability, and cost optimization. Google Associate Cloud Engineer Exam certification is ideal for professionals who have experience in cloud computing and are looking to gain expertise in GCP.
Google Associate Cloud Engineer Exam Sample Questions (Q80-Q85):
NEW QUESTION # 80
You are deploying an application to Google Kubernetes Engine (GKE) that needs to call an external third- party API. You need to provide the external API vendor with a list of IP addresses for their firewall to allow traffic from your application. You want to follow Google-recommended practices and avoid any risk of interrupting traffic to the API due to IP address changes. What should you do?
- A. Configure your GKE cluster with public nodes. Write a Cloud Function that pulls the public IP addresses of each node in the cluster. Trigger the function to run every day with Cloud Scheduler. Send the list to the vendor by email every day.
- B. Configure your GKE cluster with private nodes. Configure a Cloud NAT instance with dynamic IP addresses. Provide these IP addresses to the vendor to be added to the allowlist.
- C. Configure your GKE cluster with one node, and set the node to have a static external IP address. Ensure that the GKE cluster autoscaler is off. Send the external IP address of the node to the vendor to be added to the allowlist.
- D. Configure your GKE cluster with private nodes. Configure a Cloud NAT instance with static IP addresses. Provide these IP addresses to the vendor to be added to the allowlist.
Answer: D
Explanation:
The requirement is for a stable set of egress IP addresses from a GKE cluster for allowlisting by a third party, following best practices.
Option A is not recommended: Using a single node lacks scalability and high availability. Relying on a single node's static IP creates a single point of failure and doesn't align with GKE's design principles. Disabling autoscaling hinders elasticity.
Option C is complex and unreliable: Public nodes typically have ephemeral external IPs (unless manually configured per node, which is difficult to manage with autoscaling). Dynamically tracking and emailing IPs daily is operationally burdensome and prone to race conditions where the allowlist might lag behind IP changes.
Option D uses Cloud NAT but with dynamic IPs. Dynamic IPs change over time, making them unsuitable for stable firewall allowlists.
Option B is the Google-recommended practice: Configuring the GKE cluster with private nodes enhances security as nodes don't have direct external IPs. Cloud NAT provides managed network address translation for these private nodes to access the internet. By configuring Cloud NAT with a static allocation of external IP addresses, all egress traffic from the private GKE nodes will appear to originate from this stable, predictable set of IPs. This set can be given to the vendor for allowlisting without worrying about node IP changes due to scaling or maintenance.
This approach decouples the application's egress IP from the individual nodes, providing stability and adhering to the principle of least privilege (private nodes).
References:
Cloud NAT Overview: "Cloud NAT lets certain resources without external IP addresses create outbound connections to the internet." - https://cloud.google.com/nat/docs/overview Cloud NAT IP Addresses: "When you configure a NAT gateway... You can configure the NAT gateway to automatically allocate regional external IP addresses... Alternatively, you can manually assign a fixed number of static external IP addresses to the gateway." - https://cloud.google.com/nat/docs/overview#ip-addresses GKE and Cloud NAT: "Configure Cloud NAT with GKE... Use Case: You want a GKE pod to deterministically egress traffic from a static set of IP addresses that you control." - https://cloud.google.com
/nat/docs/gke-example
Private Clusters: "Private nodes do not have endpoint-accessible external IP addresses." - https://cloud.google.
com/kubernetes-engine/docs/how-to/private-clusters
NEW QUESTION # 81
You need to verify that a Google Cloud Platform service account was created at a particular time.
What should you do?
- A. Filter the Activity log to view the Configuration category. Filter the Resource type to Service Account.
- B. Filter the Activity log to view the Configuration category. Filter the Resource type to Google Project.
- C. Filter the Activity log to view the Data Access category. Filter the Resource type to Google Project.
- D. Filter the Activity log to view the Data Access category. Filter the Resource type to Service Account.
Answer: A
Explanation:
You don't need data access logs and configuration counts as creation.
NEW QUESTION # 82
You are given a project with a single virtual private cloud (VPC) and a single subnetwork in the us-central1 region. There is a Compute Engine instance hosting an application in thissubnetwork. You need to deploy a new instance in the same project in the europe-west1 region. This new instance needs access to the application.
You want to follow Google-recommended practices. What should you do?
- A. 1. Create a VPC and a subnetwork in europe-west1.2. Peer the 2 VPCs.3. Create the new instance in the new subnetwork and use the first instance's private address as the endpoint.
- B. 1. Create a subnetwork in the same VPC, in europe-west1.2. Use Cloud VPN to connect the two subnetworks.3. Create the new instance in the new subnetwork and use the first instance's private address as the endpoint.
- C. 1. Create a VPC and a subnetwork in europe-west1.2. Expose the application with an internal load balancer.3. Create the new instance in the new subnetwork and use the load balancer's address as the endpoint.
- D. 1. Create a subnetwork in the same VPC, in europe-west1.2. Create the new instance in the new subnetwork and use the first instance's private address as the endpoint.
Answer: B
Explanation:
* Given that the new instance wants to access the application on the existing compute engine instance, these applications seem to be related so they should be within the same VPC. It is possible to have them in different VPCs and peer the VPCs but this is a lot of additional work and we can simplify this by choosing the option below (which is the answer)
1. Create a subnet in the same VPC, in europe-west1.
2. Create the new instance in the new subnet and use the first instance subnets private address as the endpoint.
is the right answer.
* We can create another subnet in the same VPC and this subnet is located in europe-west1. We can then spin up a new instance in this subnet. We also have to set up a firewall rule to allow communication between the two subnets. All instances in the two subnets with the same VPC can communicate through the internal IP Address Ref: https://cloud.google.com/vpc
NEW QUESTION # 83
You need to create a custom IAM role for use with a GCP service. All permissions in the role must be suitable for production use. You also want to clearly share with your organization the status of the custom role. This will be the first version of the custom role. What should you do?
- A. Use permissions in your role that use the 'testing' support level for role permissions. Set the role stage to ALPHA while testing the role permissions.
- B. Use permissions in your role that use the 'testing' support level for role permissions. Set the role stage to BETA while testing the role permissions.
- C. Use permissions in your role that use the 'supported' support level for role permissions. Set the role stage to ALPHA while testing the role permissions.
- D. Use permissions in your role that use the 'supported' support level for role permissions. Set the role stage to BETA while testing the role permissions.
Answer: C
Explanation:
Explanation
When setting support levels for permissions in custom roles, you can set to one of SUPPORTED, TESTING or NOT_SUPPORTED.
Ref: https://cloud.google.com/iam/docs/custom-roles-permissions-support
NEW QUESTION # 84
You are building a product on top of Google Kubernetes Engine (GKE). You have a single GKE cluster. For each of your customers, a Pod is running in that cluster, and your customers can run arbitrary code inside their Pod. You want to maximize the isolation between your customers' Pods. What should you do?
- A. Use the cos_containerd image for your GKE nodes. Add a nodeSelector with the value cloud.google.com/gke-os-distribution: cos_containerd to the specification of your customers' Pods.
- B. Create a GKE node pool with a sandbox type configured to gvisor. Add the parameter runtimeClassName: gvisor to the specification of your customers' Pods.
- C. Use Binary Authorization and whitelist only the container images used by your customers' Pods.
- D. Use the Container Analysis API to detect vulnerabilities in the containers used by your customers' Pods.
Answer: B
NEW QUESTION # 85
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