Google Associate-Cloud-Engineer Google Associate Cloud Engineer Exam Practice Test Questions

• Question 1

  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?

  • 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.
  • 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.
  • 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.
  • 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.

  Show Answer Answer: C Next

• Question 2

  You manage three Google Cloud projects with the Cloud Monitoring API enabled. You want to follow Google-recommended practices to visualize CPU and network metrics for all three projects together. What should you do?

  • 1. Create a Cloud Monitoring Dashboard 2. Collect metrics and publish them into the Pub/Sub topics 3. Add CPU and network Charts (or each of (he three projects
  • 1. Create a Cloud Monitoring Dashboard. 2. Select the CPU and Network metrics from the three projects. 3. Add CPU and network Charts lot each of the three protects.
  • 1 Create a Service Account and apply roles/viewer on the three projects 2. Collect metrics and publish them lo the Cloud Monitoring API 3. Add CPU and network Charts for each of the three projects.
  • 1. Create a fourth Google Cloud project 2 Create a Cloud Workspace from the fourth project and add the other three projects

  Show Answer Answer: B Next

• Question 3

  You have an application that runs on Compute Engine VM instances in a custom Virtual Private Cloud (VPC). Your company's security policies only allow the use to internal IP addresses on VM instances and do not let VM instances connect to the internet. You need to ensure that the application can access a file hosted in a Cloud Storage bucket within your project. What should you do?

  • Enable Private Service Access on the Cloud Storage Bucket.
  • Add slorage.googleapis.com to the list of restricted services in a VPC Service Controls perimeter and add your project to the list to protected projects.
  • Enable Private Google Access on the subnet within the custom VPC.
  • Deploy a Cloud NAT instance and route the traffic to the dedicated IP address of the Cloud Storage bucket.

  Show Answer Answer: D Next

• Question 4

  You are building a pipeline to process time-series data. Which Google Cloud Platform services should you put in boxes 1,2,3, and 4?

  • Cloud Pub/Sub, Cloud Dataflow, Cloud Datastore, BigQuery
  • Firebase Messages, Cloud Pub/Sub, Cloud Spanner, BigQuery
  • Cloud Pub/Sub, Cloud Storage, BigQuery, Cloud Bigtable
  • Cloud Pub/Sub, Cloud Dataflow, Cloud Bigtable, BigQuery

  Show Answer Answer: D Next

• Question 5

  Your company uses BigQuery for data warehousing. Over time, many different business units in your company have created 1000+ datasets across hundreds of projects. Your CIO wants you to examine all datasets to find tables that contain an employee_ssn column. You want to minimize effort in performing this task. What should you do?

  • Go to Data Catalog and search for employee_ssn in the search box.
  • Write a shell script that uses the bq command line tool to loop through all the projects in your organization.
  • Write a script that loops through all the projects in your organization and runs a query on INFORMATION_SCHEMA.COLUMNS view to find the employee_ssn column.
  • Write a Cloud Dataflow job that loops through all the projects in your organization and runs a query on INFORMATION_SCHEMA.COLUMNS view to find employee_ssn column.

  Show Answer Answer: A Next