Associate-Cloud-Engineer Google Cloud Certified - Associate Cloud Engineer exact Exam Questions

Google Cloud Certified - Associate Cloud Engineer

Last Update 11 hours ago Total Questions : 363

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Question # 81

You have an on-premises data analytics set of binaries that processes data files in memory for about 45 minutes every midnight. The sizes of those data files range from 1 gigabyte to 16 gigabytes. You want to migrate this application to Google Cloud with minimal effort and cost. What should you do?

Upload the code to Cloud Functions. Use Cloud Scheduler to start the application.

Create a container for the set of binaries. Use Cloud Scheduler to start a Cloud Run job for the container.

Create a container for the set of binaries Deploy the container to Google Kubernetes Engine (GKE) and use the Kubernetes scheduler to start the application.

Lift and shift to a VM on Compute Engine. Use an instance schedule to start and stop the instance.

Question # 82

(You are deploying a web application using Compute Engine. You created a managed instance group (MIG) to host the application. You want to follow Google-recommended practices to implement a secure and highly available solution. What should you do?)

Use a proxy Network Load Balancer for the MIG and an A record in your DNS private zone with the load balancer ' s IP address.

Use a proxy Network Load Balancer for the MIG and a CNAME record in your DNS public zone with the load balancer ' s IP address.

Use an Application Load Balancer for the MIG and a CNAME record in your DNS private zone with the load balancer ' s IP address.

Use an Application Load Balancer for the MIG and an A record in your DNS public zone with the load balancer ' s IP address.

Question # 83

You are managing a Data Warehouse on BigQuery. An external auditor will review your company ' s processes, and multiple external consultants will need view access to the data. You need to provide them with view access while following Google-recommended practices. What should you do?

Grant each individual external consultant the role of BigQuery Editor

Grant each individual external consultant the role of BigQuery Viewer

Create a Google Group that contains the consultants and grant the group the role of BigQuery Editor

Create a Google Group that contains the consultants, and grant the group the role of BigQuery Viewer

Question # 84

You are running out of primary internal IP addresses in a subnet for a custom mode VPC. The subnet has the IP range 10.0.0.0/20. and the IP addresses are primarily used by virtual machines in the project. You need to provide more IP addresses for the virtual machines. What should you do?

Change the subnet IP range from 10.0.0.0/20 to 10.0.0.0/22.

Change the subnet IP range from 10.0 0.0/20 to 10.0.0.0718.

Add a secondary IP range 10.1.0.0/20 to the subnet.

Convert the subnet IP range from IPv4 to IPv6

Question # 85

Your company has a Google Cloud Platform project that uses BigQuery for data warehousing. Your data science team changes frequently and has few members. You need to allow members of this team to perform queries. You want to follow Google-recommended practices. What should you do?

1. Create an IAM entry for each data scientist ' s user account.2. Assign the BigQuery jobUser role to the group.

1. Create an IAM entry for each data scientist ' s user account.2. Assign the BigQuery dataViewer user role to the group.

1. Create a dedicated Google group in Cloud Identity.2. Add each data scientist ' s user account to the group.3. Assign the BigQuery jobUser role to the group.

1. Create a dedicated Google group in Cloud Identity.2. Add each data scientist ' s user account to the group.3. Assign the BigQuery dataViewer user role to the group.

Question # 86

(You are migrating your on-premises workload to Google Cloud. Your company is implementing its Cloud Billing configuration and requires access to a granular breakdown of its Google Cloud costs. You need to ensure that the Cloud Billing datasets are available in BigQuery so you can conduct a detailed analysis of costs. What should you do?)

Enable the BigQuery API and ensure that the BigQuery User IAM role is selected. Change the BigQuery dataset to select a data location.

Create a Cloud Billing account. Enable the BigQuery Data Transfer Service API to export pricing data.

Enable Cloud Billing data export to BigQuery when you create a Cloud Billing account.

Enable Cloud Billing on the project and link a Cloud Billing account. Then view the billing data table in the BigQuery dataset.

Question # 87

You have a Compute Engine instance hosting an application used between 9 AM and 6 PM on weekdays. You want to back up this instance daily for disaster recovery purposes. You want to keep the backups for 30 days. You want the Google-recommended solution with the least management overhead and the least number of services. What should you do?

1. Update your instances’ metadata to add the following value: snapshot–schedule: 0 1 * * *2. Update your instances’ metadata to add the following value: snapshot–retention: 30

1. In the Cloud Console, go to the Compute Engine Disks page and select your instance’s disk.2. In the Snapshot Schedule section, select Create Schedule and configure the following parameters:–Schedule frequency: Daily–Start time: 1:00 AM – 2:00 AM–Autodelete snapshots after 30 days

1. Create a Cloud Function that creates a snapshot of your instance’s disk.2.Create a Cloud Function that deletes snapshots that are older than 30 days.3.Use Cloud Scheduler to trigger both Cloud Functions daily at 1:00 AM.

1. Create a bash script in the instance that copies the content of the disk to Cloud Storage.2.Create a bash script in the instance that deletes data older than 30 days in the backup Cloud Storage bucket.3.Configure the instance’s crontab to execute these scripts daily at 1:00 AM.

Question # 88

You need to enable traffic between multiple groups of Compute Engine instances that are currently running two different GCP projects. Each group of Compute Engine instances is running in its own VPC. What should you do?

Verify that both projects are in a GCP Organization. Create a new VPC and add all instances.

Verify that both projects are in a GCP Organization. Share the VPC from one project and request that the Compute Engine instances in the other project use this shared VPC.

Verify that you are the Project Administrator of both projects. Create two new VPCs and add all instances.

Verify that you are the Project Administrator of both projects. Create a new VPC and add all instances.

Question # 89

You have deployed multiple Linux instances on Compute Engine. You plan on adding more instances in the coming weeks. You want to be able to access all of these instances through your SSH client over me Internet without having to configure specific access on the existing and new instances. You do not want the Compute Engine instances to have a public IP. What should you do?

Configure Cloud Identity-Aware Proxy (or HTTPS resources

Configure Cloud Identity-Aware Proxy for SSH and TCP resources.

Create an SSH keypair and store the public key as a project-wide SSH Key

Create an SSH keypair and store the private key as a project-wide SSH Key

Question # 90

You’ve deployed a microservice called myapp1 to a Google Kubernetes Engine cluster using the YAML file specified below:

You need to refactor this configuration so that the database password is not stored in plain text. You want to follow Google-recommended practices. What should you do?

Store the database password inside the Docker image of the container, not in the YAML file.

Store the database password inside a Secret object. Modify the YAML file to populate the DB_PASSWORD environment variable from the Secret.

Store the database password inside a ConfigMap object. Modify the YAML file to populate the DB_PASSWORD environment variable from the ConfigMap.

Store the database password in a file inside a Kubernetes persistent volume, and use a persistent volume claim to mount the volume to the container.