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Google Associate-Cloud-Engineer Certification Exam consists of multiple-choice questions and is designed to test the candidate’s knowledge and understanding of Google Cloud Platform. Associate-Cloud-Engineer exam covers topics such as deploying applications, managing virtual machines, networking, storage, and security. Associate-Cloud-Engineer exam also tests the candidate’s ability to use Google Cloud Console, Google Cloud SDK, and other command-line tools.

Google Associate-Cloud-Engineer (ACE) exam is a certification offered by Google Cloud for individuals who want to demonstrate their knowledge and skills related to the Google Cloud Platform (GCP). Google Associate Cloud Engineer Exam certification is designed for professionals who are responsible for deploying applications, monitoring operations, and managing solutions on GCP. The ACE exam is a great way to showcase your expertise in GCP and increase your value as a cloud engineer.

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Google Associate Cloud Engineer Exam Sample Questions (Q124-Q129):

NEW QUESTION # 124
For analysis purposes, you need to send all the logs from all of your Compute Engine instances to a BigQuery dataset called platform-logs. You have already installed the Stackdriver Logging agent on all the instances. You want to minimize cost. What should you do?

A. 1. In Stackdriver Logging, create a filter to view only Compute Engine logs.2. Click Create Export.3. Choose BigQuery as Sink Service, and the platform-logs dataset as Sink Destination.
B. 1. Give the BigQuery Data Editor role on the platform-logs dataset to the service accounts used by your instances.2. Update your instances' metadata to add the following value: logs-destination: bq://platform-logs.
C. 1. Create a Cloud Function that has the BigQuery User role on the platform-logs dataset.2. Configure this Cloud Function to create a BigQuery Job that executes this query:INSERT INTO dataset.platform-logs (timestamp, log)SELECT timestamp, log FROM compute.logsWHERE timestamp > DATE_SUB(CURRENT_DATE(), INTERVAL 1 DAY)3. Use Cloud Scheduler to trigger this Cloud Function once a day.
D. 1. In Stackdriver Logging, create a logs export with a Cloud Pub/Sub topic called logs as a sink.2. Create a Cloud Function that is triggered by messages in the logs topic.3. Configure that Cloud Function to drop logs that are not from Compute Engine and to insert Compute Engine logs in the platform-logs dataset.

Answer: A

NEW QUESTION # 125
While looking at your application's source code in your private Github repo, you've noticed that a service account key has been committed to git. What steps should you take next?

A. Do nothing. Git is fine for keys if the repo is private.
B. Delete the project and create a new one.
C. Revoke the key, remove the key from Git, purge the Git history to remove all traces of the file, ensure the key is added to the .gitignore file.
D. Contact Google Cloud Support

Answer: C,D

NEW QUESTION # 126
You need to select and configure compute resources for a set of batch processing jobs. These jobs take around
2 hours to complete and are run nightly. You want to minimize service costs. What should you do?

A. Select Google Kubernetes Engine. Use a three-node cluster with micro instance types.
B. Select Compute Engine. Use VM instance types that support micro bursting.
C. Select Google Kubernetes Engine. Use a single-node cluster with a small instance type.
D. Select Compute Engine. Use preemptible VM instances of the appropriate standard machine type.

Answer: D

NEW QUESTION # 127
You are managing a fleet of data storage solutions for your company on Google Cloud, including Bigtable, Cloud SQL, Memorystore, and Spanner. You need a single, unified view to monitor the health of all data storage solutions and identify any that are at risk for downtime. What should you do?

A. Use Dataplex Universal Catalog to search the metadata of the data storage solutions to obtain the required insights.
B. In the Google Cloud Console, use Cloud Asset Inventory to see an overview of the data storage solutions.
C. In the Google Cloud Console, navigate to Database Center to find an overview of the data storage solutions.
D. Use the terraform state list command in the directory used to deploy the data storage solutions.

Answer: C

Explanation:
Database Center is the correct choice because it is designed to provide a centralized view of Google Cloud database and data storage services, including operational health and availability-related insights.
The requirement is not only to list assets but to monitor the health of multiple managed data services and identify downtime risk. Dataplex Universal Catalog is mainly for data discovery, governance, and metadata search, not operational database health monitoring. Terraform state only reflects resources managed by Terraform and does not provide live service health or risk signals. Cloud Asset Inventory can show resource inventory, but it is not the best operational console for database health. Database Center gives the unified operational overview required with the least manual effort.

NEW QUESTION # 128
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 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 45% If you exceed this threshold, add nodes lo 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: C

NEW QUESTION # 129
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