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Free PDF 2025 Perfect Google Latest Associate-Cloud-Engineer Exam Notes

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Google Associate-Cloud-Engineer exam is an entry-level exam that assesses the candidates' abilities to use GCP services to build secure and scalable cloud solutions. Associate-Cloud-Engineer exam covers a wide range of topics such as cloud architecture, compute and storage, networking, security, and operations. Associate-Cloud-Engineer Exam also focuses on real-world scenarios that test the candidates' problem-solving skills.

Google Associate Cloud Engineer Exam Sample Questions (Q140-Q145):

NEW QUESTION # 140
You need to manage a Cloud Spanner Instance for best query performance. Your instance in production runs in a single Google Cloud region. You need to improve performance in the shortest amount of time. You want to follow Google best practices for service configuration. What should you do?

A. Create an alert in Cloud Monitoring to alert when the percentage of high priority CPU utilization reaches 65%.
If you exceed this threshold, add nodes to your instance
B. Create an alert in Cloud Monitoring to alert when the percentage of high priority CPU utilization reaches 45%.
If you exceed this threshold, add nodes lo your instance.
C. Create an alert in Cloud Monitoring to alert when the percentage of high priority CPU utilization reaches 65%.
Use database query statistics to identity queries that result in high CPU usage, and then rewrite those queries to optimize their resource usage.
D. Create an alert in Cloud Monitoring to alert when the percentage ot high priority CPU utilization reaches 45%.
Use database query statistics to identify queries that result in high CPU usage, and then rewrite those queries to optimize their resource usage

Answer: B

NEW QUESTION # 141
You need to monitor resources that are distributed over different projects in Google Cloud Platform. You want to consolidate reporting under the same Stackdriver Monitoring dashboard. What should you do?

A. Configure a single Stackdriver account, and link all projects to the same account.
B. Configure a single Stackdriver account for one of the projects. In Stackdriver, create a Group and add the other project names as criteria for that Group.
C. Use Shared VPC to connect all projects, and link Stackdriver to one of the projects.
D. For each project, create a Stackdriver account. In each project, create a service account for that project and grant it the role of Stackdriver Account Editor in all other projects.

Answer: A

Explanation:
When you intially click on Monitoring(Stackdriver Monitoring) it creates a workspac(a stackdriver account) linked to the ACTIVE(CURRENT) Project from which it was clicked.
Now if you change the project and again click onto Monitoring it would create an another workspace(a stackdriver account) linked to the changed ACTIVE(CURRENT) Project, we don't want this as this would not consolidate our result into a single dashboard(workspace/stackdriver account).
If you have accidently created two diff workspaces merge them under Monitoring > Settings > Merge Workspaces > MERGE.
If we have only one workspace and two projects we can simply add other GCP Project under Monitoring > Settings > GCP Projects > Add GCP Projects.
https://cloud.google.com/monitoring/settings/multiple-projects
Nothing about groups https://cloud.google.com/monitoring/settings?hl=en

NEW QUESTION # 142
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 kubectl to examine the status of your Pod and observe that one of them is still in Pending status:

What is the most likely cause?

A. The pending Pod's resource requests are too large to fit on a single node of the cluster.
B. The node pool is configured with a service account that does not have permission to pull the container image used by the pending Pod.
C. 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.
D. Too many Pods are already running in the cluster, and there are not enough resources left to schedule the pending Pod.

Answer: D

Explanation:
The pending Pods resource requests are too large to fit on a single node of the cluster. Too many Pods are already running in the cluster, and there are not enough resources left to schedule the pending Pod. is the right answer.
When you have a deployment with some pods in running and other pods in the pending state, more often than not it is a problem with resources on the nodes. Heres a sample output of this use case. We see that the problem is with insufficient CPU on the Kubernetes nodes so we have to either enable auto-scaling or manually scale up the nodes.

NEW QUESTION # 143
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 Container Analysis API to detect vulnerabilities in the containers used by your customers' Pods.
B. Use Binary Authorization and whitelist only the container images used by your customers' Pods.
C. 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.
D. Create a GKE node pool with a sandbox type configured to gvisor. Add the parameter runtimeClassName: gvisor to the specification of your customers' Pods.

Answer: D

Explanation:
Reference:
https://cloud.google.com/kubernetes-engine/sandbox/

NEW QUESTION # 144
You are about to deploy a new Enterprise Resource Planning (ERP) system on Google Cloud. The application holds the full database in-memory for fast data access, and you need to configure the most appropriate resources on Google Cloud for this application. What should you do?

A. Provision Compute Engine instances with local SSDs attached.
B. Provision preemptible Compute Engine instances.
C. Provision Compute Engine instances with M1 machine type.
D. Provision Compute Engine instances with GPUs attached.

Answer: C

Explanation:
M1 machine series Medium in-memory databases such as SAP HANA Tasks that require intensive use of memory with higher memory-to-vCPU ratios than the general-purpose high-memory machine types.
In-memory databases and in-memory analytics, business warehousing (BW) workloads, genomics analysis, SQL analysis services. Microsoft SQL Server and similar databases.
https://cloud.google.com/compute/docs/machine-types
https://cloud.google.com/compute/docs/machine-types#:~:text=databases%20such%20as-,SAP%20HANA,-In%
https://www.sap.com/india/products/hana.html#:~:text=is%20SAP%20HANA-,in%2Dmemory,-database%3F

NEW QUESTION # 145
......

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