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Google Associate-Cloud-Engineer certification exam is ideal for individuals who are looking to validate their skills and knowledge in cloud engineering. Google Associate Cloud Engineer Exam certification exam requires individuals to have a basic understanding of cloud computing and GCP concepts. However, individuals who have experience in IT or have worked with other cloud platforms may find the exam easier to navigate. Google Associate Cloud Engineer Exam certification exam consists of multiple-choice questions and lasts for two hours.

Google Associate-Cloud-Engineer Certification is designed to validate the skills of individuals in the field of cloud computing. Google Associate Cloud Engineer Exam certification is awarded to those who have successfully passed the Google Associate Cloud Engineer exam that focuses on the Google Cloud Platform (GCP). Google Associate Cloud Engineer Exam certification is an industry-recognized credential that can help IT professionals advance in their careers and succeed in the competitive job market.

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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 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;
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.

Google Associate Cloud Engineer Exam Sample Questions (Q154-Q159):

NEW QUESTION # 154
You have deployed an application on a single Compute Engine instance. The application writes logs to disk.
Users start reporting errors with the application. You want to diagnose the problem. What should you do?

A. Install and configure the Cloud Logging Agent and view the logs from Cloud Logging.
B. Navigate to Cloud Logging and view the application logs.
C. Connect to the instance's serial console and read the application logs.
D. Configure a Health Check on the instance and set a Low Healthy Threshold value.

Answer: A

NEW QUESTION # 155
Your company publishes large files on an Apache web server that runs on a Compute Engine instance. The Apache web server is not the only application running in the project. You want to receive an email when the egress network costs for the server exceed 100 dollars for the current month as measured by Google Cloud Platform (GCP). What should you do?

A. Set up a budget alert on the billing account with an amount of 100 dollars, a threshold of 100%, and notification type of "email."
B. Use the Stackdriver Logging Agent to export the Apache web server logs to Stackdriver Logging.
Create a Cloud Function that uses BigQuery to parse the HTTP response log data in Stackdriver for the current month and sends an email if the size of all HTTP responses, multiplied by current GCP egress prices, totals over 100 dollars. Schedule the Cloud Function using Cloud Scheduler to run hourly.
C. Export the billing data to BigQuery.
Create a Cloud Function that uses BigQuery to sum the egress network costs of the exported billing data for the Apache web server for the current month and sends an email if it is over 100 dollars.
Schedule the Cloud Function using Cloud Scheduler to run hourly.
D. Set up a budget alert on the project with an amount of 100 dollars, a threshold of 100%, and notification type of "email."

Answer: C

Explanation:
The Apache web server is not the only application running in the project, so the budget alert is not suitable because it is related to all applications and not only the network traffic as needed.

NEW QUESTION # 156
Your finance team wants to view the billing report for your projects. You want to make sure that the finance team does not get additional permissions to the project. What should you do?

A. Add the group for the finance team to roles/billing viewer role.
B. Add the group for the finance team to roles/billing project/Manager role.
C. Add the group for the finance team to roles/billing admin role.
D. Add the group for the finance team to roles/billing user role.

Answer: A

Explanation:
Explanation
"Billing Account Viewer access would usually be granted to finance teams, it provides access to spend information, but does not confer the right to link or unlink projects or otherwise manage the properties of the billing account." https://cloud.google.com/billing/docs/how-to/billing-access

NEW QUESTION # 157
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. Use the BigQuery interface to review the nightly Job and look for any errors
B. Use Cloud Debugger to find out why the data was not refreshed correctly
C. In Cloud Logging create a filter for your Data Studio report
D. Review the Error Reporting page in the Cloud Console to find any errors.

Answer: B

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 # 158
You have been asked to migrate a docker application from datacenter to cloud. Your solution architect has suggested uploading docker images to GCR in one project and running an application in a GKE cluster in a separate project. You want to store images in the project img-278322 and run the application in the project prod-278986. You want to tag the image as acme_track_n_trace:v1. You want to follow Google-recommended practices. What should you do?

A. Run gcloud builds submit --tag gcr.io/img-278322/acme_track_n_trace:v1
B. Run gcloud builds submit --tag gcr.io/img-278322/acme_track_n_trace
C. Run gcloud builds submit --tag gcr.io/prod-278986/acme_track_n_trace:v1
D. Run gcloud builds submit --tag gcr.io/prod-278986/acme_track_n_trace

Answer: A

Explanation:
Run gcloud builds submit tag gcr.io/img-278322/acme_track_n_trace:v1. is the right answer.
This command correctly tags the image as acme_track_n_trace:v1 and uploads the image to the img-278322 project.
Ref: https://cloud.google.com/sdk/gcloud/reference/builds/submit

NEW QUESTION # 159
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