Google Associate Cloud Engineer Exam Practice Questions (P. 4)
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Question #16
You have a single binary application that you want to run on Google Cloud Platform. You decided to automatically scale the application based on underlying infrastructure CPU usage. Your organizational policies require you to use virtual machines directly. You need to ensure that the application scaling is operationally efficient and completed as quickly as possible. What should you do?
- ACreate a Google Kubernetes Engine cluster, and use horizontal pod autoscaling to scale the application.
- BCreate an instance template, and use the template in a managed instance group with autoscaling configured.Most Voted
- CCreate an instance template, and use the template in a managed instance group that scales up and down based on the time of day.
- DUse a set of third-party tools to build automation around scaling the application up and down, based on Stackdriver CPU usage monitoring.
Correct Answer:
B
B

Option B is the optimal choice as it directly utilizes virtual machines, aligning with the organizational requirements, and leverages native GCP capabilities for operational efficiency. Managed Instance Groups in Google Cloud not only comply with the need for direct VM usage but also provide robust autoscaling based on CPU metrics, facilitating prompt and accurate scaling activities. This avoids external dependencies and streamlines management, maintaining system simplicity and effectiveness. This choice harnesses GCP's built-in solutions, avoiding the complexities and potential integrations that come with third-party tools.
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Question #17
You are analyzing Google Cloud Platform service costs from three separate projects. You want to use this information to create service cost estimates by service type, daily and monthly, for the next six months using standard query syntax. What should you do?
- AExport your bill to a Cloud Storage bucket, and then import into Cloud Bigtable for analysis.
- BExport your bill to a Cloud Storage bucket, and then import into Google Sheets for analysis.
- CExport your transactions to a local file, and perform analysis with a desktop tool.
- DExport your bill to a BigQuery dataset, and then write time window-based SQL queries for analysis.Most Voted
Correct Answer:
D
D

Choosing BigQuery for analyzing Google Cloud Platform service costs aligns perfectly with the necessity of utilizing standard SQL queries for detailed, scalable, and structured data analysis. It efficiently handles large-scale data across multiple projects and offers comprehensive tools for creating time-specific cost forecasts that desktop tools or simpler platforms like Google Sheets and Cloud Bigtable would find challenging. Using BigQuery's capability to process SQL queries aids in achieving an in-depth and programmatically accessible analysis of daily and monthly cost estimates.
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Question #18
You need to set up a policy so that videos stored in a specific Cloud Storage Regional bucket are moved to Coldline after 90 days, and then deleted after one year from their creation. How should you set up the policy?
- AUse Cloud Storage Object Lifecycle Management using Age conditions with SetStorageClass and Delete actions. Set the SetStorageClass action to 90 days and the Delete action to 275 days (365 ג€" 90)
- BUse Cloud Storage Object Lifecycle Management using Age conditions with SetStorageClass and Delete actions. Set the SetStorageClass action to 90 days and the Delete action to 365 days.Most Voted
- CUse gsutil rewrite and set the Delete action to 275 days (365-90).
- DUse gsutil rewrite and set the Delete action to 365 days.
Correct Answer:
A
A

It's important to understand that when setting up Object Lifecycle Management policies in Google Cloud Storage, the age is calculated from the creation date of the object, not from when the object class was last set. Therefore, to adhere to the policy of deleting videos after a year (365 days), regardless of the change in storage class after 90 days, the deletion rule should set the age at 365 days. This ensures the files are deleted one year from their original creation date, aligning with the policy requirements without unnecessary complexity.
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Question #19
You have a Linux VM that must connect to Cloud SQL. You created a service account with the appropriate access rights. You want to make sure that the VM uses this service account instead of the default Compute Engine service account. What should you do?
- AWhen creating the VM via the web console, specify the service account under the 'Identity and API Access' section.Most Voted
- BDownload a JSON Private Key for the service account. On the Project Metadata, add that JSON as the value for the key compute-engine-service- account.
- CDownload a JSON Private Key for the service account. On the Custom Metadata of the VM, add that JSON as the value for the key compute-engine- service-account.
- DDownload a JSON Private Key for the service account. After creating the VM, ssh into the VM and save the JSON under ~/.gcloud/compute-engine-service- account.json.
Correct Answer:
A
Reference:
https://cloud.google.com/compute/docs/access/create-enable-service-accounts-for-instances
A
Reference:
https://cloud.google.com/compute/docs/access/create-enable-service-accounts-for-instances
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Question #20
You created an instance of SQL Server 2017 on Compute Engine to test features in the new version. You want to connect to this instance using the fewest number of steps. What should you do?
- AInstall a RDP client on your desktop. Verify that a firewall rule for port 3389 exists.
- BInstall a RDP client in your desktop. Set a Windows username and password in the GCP Console. Use the credentials to log in to the instance.
- CSet a Windows password in the GCP Console. Verify that a firewall rule for port 22 exists. Click the RDP button in the GCP Console and supply the credentials to log in.
- DSet a Windows username and password in the GCP Console. Verify that a firewall rule for port 3389 exists. Click the RDP button in the GCP Console, and supply the credentials to log in.Most Voted
Correct Answer:
B
Reference:
https://medium.com/falafel-software/sql-server-in-the-google-cloud-a17e8a1f11ce
B
Reference:
https://medium.com/falafel-software/sql-server-in-the-google-cloud-a17e8a1f11ce
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