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Configuring Access & Security

The last module of the certification exam measures the skills of the learners in managing identity & access management (IAM). Besides that, they should know how to perform the management of service accounts. They also need to be able to view audit logs for the project as well as managed services.

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Deploying & Implementing Cloud Solutions

To answer the questions related to this domain, the examinees need to show that they know how to deploy and implement Compute Engine resources, Google Kubernetes Engine resources, App Engine resources, Cloud Run resources, and Cloud Functions resources. Moreover, they should have a good understanding of how to deploy and implement data solutions as well as networking resources. They also need to have the capacity to perform the deployment of a solution with the help of Cloud Marketplace. Additionally, their ability to perform the deployment of application infrastructure with the help of Cloud Deployment Manager is required.

Google Associate Cloud Engineer Exam Sample Questions (Q157-Q162):

NEW QUESTION # 157
You are responsible for a web application on Compute Engine. You want your support team to be notified automatically if users experience high latency for at least 5 minutes. You need a Google-recommended solution with no development cost. What should you do?

A. Export Cloud Monitoring metrics to BigQuery and use a Looker Studio dashboard to monitor your web applications latency.
B. Use the Cloud Monitoring dashboard to observe latency and take the necessary actions when the response latency exceeds the specified threshold.
C. Create an alert policy to send a notification when the HTTP response latency exceeds the specified threshold.
D. Implement an App Engine service which invokes the Cloud Monitoring API and sends a notification in case of anomalies.

Answer: C

Explanation:
https://cloud.google.com/monitoring/alerts#alerting-example

NEW QUESTION # 158
You have an application running in Google Kubernetes Engine (GKE) with cluster autoscaling enabled. The application exposes a TCP endpoint. There are several replicas of this application.
You have a Compute Engine instance in the same region, but in another Virtual Private Cloud (VPC), called gce- , that has no overlapping IP ranges with the first VPC. This instance needs to connect to the network application on GKE. You want to minimize effort. What should you do?

A. 1. In GKE, create a Service of type LoadBalancer that uses the application's Pods as backend.
2. Set the service's externalTrafficPolicy to Cluster.
3. Configure the Compute Engine instance to use the address of the load balancer that has been created.
B. 1. In GKE, create a Service of type NodePort that uses the application's Pods as backend.
2. Create a Compute Engine instance called proxy with 2 network interfaces, one in each VPC.
3. Use iptables on this instance to forward traffic from gce-network to the GKE nodes.
4. Configure the Compute Engine instance to use the address of proxy in gce-network as endpoint.
C. 1. In GKE, create a Service of type LoadBalancer that uses the application's Pods as backend.
2. Add a Cloud Armor Security Policy to the load balancer that whitelists the internal IPs of the MIG's instances.
3. Configure the Compute Engine instance to use the address of the load balancer that has been created.
D. 1. In GKE, create a Service of type LoadBalancer that uses the application's Pods as backend.
2. Add an annotation to this service: cloud.google.com/load-balancer-type: Internal
3. Peer the two VPCs together.
4. Configure the Compute Engine instance to use the address of the load balancer that has been created.

Answer: D

Explanation:
You have to set load balancer as internal otherwise it will get exposed on public internet.

NEW QUESTION # 159
A team of data scientists infrequently needs to use a Google Kubernetes Engine (GKE) cluster that you manage. They require GPUs for some long-running, non-restartable jobs. You want to minimize cost. What should you do?

A. Create a node pool with preemptible VMs and GPUs attached to those VMs.
B. Create a node pool of instances with GPUs, and enable autoscaling on this node pool with a minimum size of 1.
C. Create a VerticalPodAutscaler for those workloads.
D. Enable node auto-provisioning on the GKE cluster.

Answer: D

Explanation:
auto-provisioning = Attaches and deletes node pools to cluster based on the requirements. Hence creating a GPU node pool, and auto-scaling would be better
https://cloud.google.com/kubernetes-engine/docs/how-to/node-auto-provisioning

NEW QUESTION # 160
You have been asked to create robust Virtual Private Network (VPN) connectivity between a new Virtual Private Cloud (VPC) and a remote site. Key requirements include dynamic routing, a shared address space of
10.19.0.1/22, and no overprovisioning of tunnels during a failover event. You want to follow Google-recommended practices to set up a high availability Cloud VPN. What should you do?

A. Use an automatic mode VPC network, configure static routes, and use active/active routing
B. Use an automatic mode VPC network, use Cloud Router border gateway protocol (BGP) routes and configure policy-based routing
C. Use a custom mode VPC network use Cloud Router border gateway protocol (86P) routes, and use active/passive routing
D. Use a custom mode VPC network, configure static routes, and use active/passive routing

Answer: B

NEW QUESTION # 161
You have a Compute Engine instance hosting a production application. You want to receive an email if the instance consumes more than 90% of its CPU resources for more than 15 minutes. You want to use Google services. What should you do?

A. 1. Create a Stackdriver Workspace, and associate your GCP project with it.
2. Write a script that monitors the CPU usage and sends it as a custom metric to Stackdriver.
3. Create an uptime check for the instance in Stackdriver.
B. 1. In Stackdriver Logging, create a logs-based metric to extract the CPU usage by using this regular expression: CPU Usage: ([0-9] {1,3})%
2. In Stackdriver Monitoring, create an Alerting Policy based on this metric.
3. Configure your email address in the notification channel.
C. 1. Create a consumer Gmail account.
2. Write a script that monitors the CPU usage.
3. When the CPU usage exceeds the threshold, have that script send an email using the Gmail account and smtp.gmail.comon port 25 as SMTP server.
D. 1. Create a Stackdriver Workspace, and associate your Google Cloud Platform (GCP) project with it.
2. Create an Alerting Policy in Stackdriver that uses the threshold as a trigger condition.
3. Configure your email address in the notification channel.

Answer: B

Explanation:
Explanation/Reference:

NEW QUESTION # 162
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