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To become a Google Associate Cloud Engineer, candidates must pass the Associate-Cloud-Engineer exam, which is an online, proctored exam that can be taken from anywhere in the world. Associate-Cloud-Engineer exam fee is $125, and candidates can register for the exam on the Google Cloud Platform website. Google Associate Cloud Engineer Exam certification is valid for two years, after which candidates must renew their certification by passing the current version of the exam.

Google Associate-Cloud-Engineer Certification Exam is intended for professionals with some experience working with cloud solutions and a basic understanding of the GCP. However, the exam is also suitable for individuals who are new to cloud computing and want to gain knowledge and skills in this field. Google Associate Cloud Engineer Exam certification can be an excellent starting point for anyone looking to pursue a career in cloud computing.

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Upon passing the Google Associate Cloud Engineer certification exam, you will receive a certificate that demonstrates your proficiency in operating and deploying applications, infrastructure, and services on the Google Cloud Platform. Google Associate Cloud Engineer Exam certification can help boost your career prospects, as it is recognized by employers and demonstrates that you have a strong understanding of cloud computing and the Google Cloud Platform.

Google Associate Cloud Engineer Exam Sample Questions (Q265-Q270):

NEW QUESTION # 265
Your auditor wants to view your organization's use of data in Google Cloud. The auditor is most interested in auditing who accessed data in Cloud Storage buckets. You need to help the auditor access the data they need.
What should you do?

A. Turn on Data Access Logs for the buckets they want to audit, and Then build a query in the log viewer that filters on Cloud Storage
B. Assign the appropriate permissions, and then create a Data Studio report on Admin Activity Audit Logs
C. Use the export logs API to provide the Admin Activity Audit Logs in the format they want
D. Assign the appropriate permissions, and then use Cloud Monitoring to review metrics

Answer: A

Explanation:
Types of audit logs Cloud Audit Logs provides the following audit logs for each Cloud project, folder, and organization: Admin Activity audit logs Data Access audit logs System Event audit logs Policy Denied audit logs ***Data Access audit logs contain API calls that read the configuration or metadata of resources, as well as user-driven API calls that create, modify, or read user-provided resource data.
https://cloud.google.com/logging/docs/audit#types
https://cloud.google.com/logging/docs/audit#data-access Cloud Storage: When Cloud Storage usage logs are enabled, Cloud Storage writes usage data to the Cloud Storage bucket, which generates Data Access audit logs for the bucket. The generated Data Access audit log has its caller identity redacted.

NEW QUESTION # 266
You are using Data Studio to visualize a table from your data warehouse that is built on top of BigQuery. Data is appended to the data warehouse during the day. At night, the daily summary is recalculated by overwriting the table. You just noticed that the charts in Data Studio are broken, and you want to analyze the problem. What should you do?

A. In Cloud Logging create a filter for your Data Studio report
B. Use Cloud Debugger to find out why the data was not refreshed correctly
C. Review the Error Reporting page in the Cloud Console to find any errors.
D. Use the BigQuery interface to review the nightly Job and look for any errors

Answer: D

Explanation:
Cloud Debugger helps inspect the state of an application, at any code location, without stopping or slowing down the running app // https://cloud.google.com/debugger/docs

NEW QUESTION # 267
You have created an application that is packaged into a Docker image. You want to deploy the Docker image as a workload on Google Kubernetes Engine. What should you do?

A. Upload the image to Cloud Storage and create a Kubernetes Service referencing the image
B. Upload the image to Container Registry and create a Kubernetes Deployment referencing the mage
C. Upload the image to Cloud Storage and create a Kubernetes Deployment referencing the image
D. Upload the image to Container Registry and create a Kubernetes Service referencing the image.

Answer: B

Explanation:
Upload your docker image on container registry then give a ref while creating deployment.

NEW QUESTION # 268
You are building an archival solution for your data warehouse and have selected Cloud Storage to archive your data. Your users need to be able to access this archived data once a quarter for some regulatory requirements.
You want to select a cost-efficient option. Which storage option should you use?

A. Nearline Storage
B. Coldline Storage
C. Multi-Regional Storage
D. Regional Storage

Answer: B

Explanation:
Coldline Storage is a very-low-cost, highly durable storage service for storing infrequently accessed data.
Coldline Storage is ideal for data you plan to read or modify at most once a quarter. Since we have a requirement to access data once a quarter and want to go with the most cost-efficient option, we should select Coldline Storage.
Ref: https://cloud.google.com/storage/docs/storage-classes#coldline

NEW QUESTION # 269
Your company runs one batch process in an on-premises server that takes around 30 hours to complete. The task runs monthly, can be performed offline, and must be restarted if interrupted.
You want to migrate this workload to the cloud while minimizing cost. What should you do?

A. Migrate the workload to a Google Kubernetes Engine cluster with Preemptible nodes.
B. Create an Instance Template with Preemptible VMs On.
Create a Managed Instance Group from the template and adjust Target CPU Utilization.
Migrate the workload.
C. Migrate the workload to a Compute Engine Preemptible VM.
D. Migrate the workload to a Compute Engine VM.
Start and stop the instance as needed.

Answer: D

Explanation:
Install the workload in a compute engine VM, start and stop the instance as needed, because as per the question the VM runs for 30 hours, process can be performed offline and should not be interrupted, if interrupted we need to restart the batch process again. Preemptible VMs are cheaper, but they will not be available beyond 24hrs, and if the process gets interrupted the preemptible VM will restart.

NEW QUESTION # 270
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