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The Google Associate-Cloud-Engineer Certification Exam is a valuable credential for IT professionals seeking to validate their knowledge and expertise in cloud computing. The certification exam is suitable for individuals with some experience in deploying and managing cloud solutions on the Google Cloud platform. It is also an excellent opportunity for individuals who want to enhance their skills and knowledge in cloud computing and advance their careers in the IT industry.

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Ensuring Operation Success of a Cloud Solution

Manage database and storage solutions: this area requires your competence in setting object lifecycle management policies for Cloud Storage buckets; moving different objects between Cloud Storage buckets; estimating costs for BigQuery; executing queries for the retrieval of data from data instances. It also requires your capability to backup and restores data instances; review a job status in BigQuery, Cloud Dataflow, or Cloud Dataproc; work with management interfaces;
Manage App Engine and Cloud Run resources: the individuals should be able to adjust application traffic splitting parameters; set scaling parameters for auto-scaling instances; work with management interfaces;
Monitor and log: this subject includes the examinees’ ability to create Stackdriver custom metrics and Stackdriver alerts according to resource metrics; use Cloud diagnostics to analyze application issues; check and filter logs within Stackdriver; configure log sinks for the exportation of logs into external systems; view the status of Google Cloud Platform.
Manage Compute Engine resources: the test takers should demonstrate their capability to manage single VM instances; RDP/SSH to instance; attack GPU to new instances and install CUDA libraries; view on-going running virtual machine inventory; work with snapshots, images, management interfaces, and instance groups;

The Google Associate-Cloud-Engineer certification is an excellent way for individuals to showcase their skills and knowledge in GCP. This certification is recognized globally and is a valuable asset for anyone looking to start or advance their career in cloud computing. With the right preparation and training, anyone can pass this exam and join the growing community of GCP professionals.

Google Associate Cloud Engineer Exam Sample Questions (Q40-Q45):

NEW QUESTION # 40
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 45% If you exceed this threshold, add nodes lo your instance.
B. 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
C. 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
D. 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.

Answer: A

NEW QUESTION # 41
You have a batch workload that runs every night and uses a large number of virtual machines (VMs). It is fault- tolerant and can tolerate some of the VMs being terminated. The current cost of VMs is too high. What should you do?

A. Run a test using N1 standard VMs instead of N2. If the test is successful, use N1 Standard VMs when running future jobs.
B. Run a test using simulated maintenance events. If the test is successful, use N1 Standard VMs when running future jobs.
C. Run a test using a managed instance group. If the test is successful, use N1 Standard VMs in the managed instance group when running future jobs.
D. Run a test using simulated maintenance events. If the test is successful, use preemptible N1 Standard VMs when running future jobs.

Answer: B

Explanation:
Reference:
https://cloud.google.com/compute/vm-instance-pricing

NEW QUESTION # 42
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 node pool is configured with a service account that does not have permission to pull the container image used by the pending Pod.
B. Too many Pods are already running in the cluster, and there are not enough resources left to schedule 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. The pending Pod's resource requests are too large to fit on a single node of the cluster.

Answer: B

NEW QUESTION # 43
You are hosting an application from Compute Engine virtual machines (VMs) in us-central1-a. You want to adjust your design to support the failure of a single Compute Engine zone, eliminate downtime, and minimize cost. What should you do?

A. - Create Compute Engine resources in us-central1-b.
- Balance the load across both us-central1-a and us-central1-b.
B. - Create a Managed Instance Group and specify us-central1-a as the zone.
- Configure the Health Check with a short Health Interval.
C. - Create an HTTP(S) Load Balancer.
- Create one or more global forwarding rules to direct traffic to your VMs.
D. - Perform regular backups of your application.
- Create a Cloud Monitoring Alert and be notified if your application becomes unavailable.
- Restore from backups when notified.

Answer: C

Explanation:
Reference:
https://github.com/GoogleCloudPlatform/puppet-google-compute

NEW QUESTION # 44
You are monitoring an application and receive user feedback that a specific error is spiking. You notice that the error is caused by a Service Account having insufficient permissions. You are able to solve the problem but want to be notified if the problem recurs. What should you do?

A. Create a custom log-based metric for the specific error to be used in an Alerting Policy.
B. Create a sink to BigQuery to export all the logs. Create a Data Studio dashboard on the exported logs.
C. In the Log Viewer, filter the logs on severity 'Error' and the name of the Service Account.
D. Grant Project Owner access to the Service Account.

Answer: A

NEW QUESTION # 45
......

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