Summer Sale Special Limited Time 70% Discount Offer - Ends in 0d 00h 00m 00s - Coupon code: buysanta

Exact2Pass Menu

Google Cloud Certified - Associate Cloud Engineer

Last Update 12 hours ago Total Questions : 332

The Google Cloud Certified - Associate Cloud Engineer content is now fully updated, with all current exam questions added 12 hours ago. Deciding to include Associate-Cloud-Engineer practice exam questions in your study plan goes far beyond basic test preparation.

You'll find that our Associate-Cloud-Engineer exam questions frequently feature detailed scenarios and practical problem-solving exercises that directly mirror industry challenges. Engaging with these Associate-Cloud-Engineer sample sets allows you to effectively manage your time and pace yourself, giving you the ability to finish any Google Cloud Certified - Associate Cloud Engineer practice test comfortably within the allotted time.

Question # 11

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?

A.

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

B.

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

C.

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

D.

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.

Question # 12

You manage an App Engine Service that aggregates and visualizes data from BigQuery. The application is deployed with the default App Engine Service account. The data that needs to be visualized resides in a different project managed by another team. You do not have access to this project, but you want your application to be able to read data from the BigQuery dataset. What should you do?

A.

Ask the other team to grant your default App Engine Service account the role of BigQuery Job User.

B.

Ask the other team to grant your default App Engine Service account the role of BigQuery Data Viewer.

C.

In Cloud IAM of your project, ensure that the default App Engine service account has the role of BigQuery Data Viewer.

D.

In Cloud IAM of your project, grant a newly created service account from the other team the role of BigQuery Job User in your project.

Question # 13

You are creating an application that will run on Google Kubernetes Engine. You have identified MongoDB as the most suitable database system for your application and want to deploy a managed MongoDB environment that provides a support SLA. What should you do?

A.

Create a Cloud Bigtable cluster and use the HBase API

B.

Deploy MongoDB Alias from the Google Cloud Marketplace

C.

Download a MongoDB installation package and run it on Compute Engine instances

D.

Download a MongoDB installation package, and run it on a Managed Instance Group

Question # 14

You are planning to migrate a database and a backend application to a Standard Google Kubernetes Engine (GKE) cluster. You need to prevent data loss and make sure there are enough nodes available for your backend application based on the demands of your workloads. You want to follow Google-recommended practices and minimize the amount of manual work required. What should you do?

A.

Run your database as a StatefulSet. Configure cluster autoscaling to handle changes in the demands of your workloads.

B.

Run your database as a single Pod. Run the resize command when you notice changes in the demands of your workloads.

C.

Run your database as a Deployment. Configure cluster autoscaling to handle changes in the demands of your workloads.

D.

Run your database as a DaemonSet. Run the resize command when you notice changes in the demands of your workloads.

Question # 15

Users of your application are complaining of slowness when loading the application. You realize the slowness is because the App Engine deployment serving the application is deployed in us-central whereas all users of this application are closest to europe-west3. You want to change the region of the App Engine application to europe-west3 to minimize latency. What’s the best way to change the App Engine region?

A.

Create a new project and create an App Engine instance in europe-west3

B.

Use the gcloud app region set command and supply the name of the new region.

C.

From the console, under the App Engine page, click edit, and change the region drop-down.

D.

Contact Google Cloud Support and request the change.

Question # 16

Your company has developed a new application that consists of multiple microservices. You want to deploy the application to Google Kubernetes Engine (GKE), and you want to ensure that the cluster can scale as more applications are deployed in the future. You want to avoid manual intervention when each new application is deployed. What should you do?

A.

Deploy the application on GKE, and add a HorizontalPodAutoscaler to the deployment.

B.

Deploy the application on GKE, and add a VerticalPodAutoscaler to the deployment.

C.

Create a GKE cluster with autoscaling enabled on the node pool. Set a minimum and maximum for the size of the node pool.

D.

Create a separate node pool for each application, and deploy each application to its dedicated node pool.

Question # 17

Your company has many legacy third-party applications that rely on a shared NFS server for file sharing between these workloads. You want to modernize the NFS server by using a Google Cloud managed service. You need to select the solution that requires the least amount of change to the application. What should you do?

A.

Configure Firestore. Configure all applications to use Firestore instead of the NFS server.

B.

Deploy a Filestore instance. Replace all NFS mounts with a Filestore mount.

C.

Create a Cloud Storage bucket. Configure all applications to use Cloud Storage client libraries instead of the NFS server.

D.

Create a Compute Engine instance and configure an NFS server on the instance. Point all NFS mounts to the Compute Engine instance.

Question # 18

You have created an application that is packaged into a Docker image. You want to deploy the Docker image as a workload on Google Kubernetes Engine. What should you do?

A.

Upload the image to Cloud Storage and create a Kubernetes Service referencing the image.

B.

Upload the image to Cloud Storage and create a Kubernetes Deployment referencing the image.

C.

Upload the image to Container Registry and create a Kubernetes Service referencing the image.

D.

Upload the image to Container Registry and create a Kubernetes Deployment referencing the image.

Question # 19

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?

A.

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

B.

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

C.

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

D.

Convert the subnet IP range from IPv4 to IPv6

Question # 20

You are given a project with a single virtual private cloud (VPC) and a single subnetwork in the us-central1 region. There is a Compute Engine instance hosting an application in thissubnetwork. You need to deploy a new instance in the same project in the europe-west1 region. This new instance needs access to the application. You want to follow Google-recommended practices. What should you do?

A.

1. Create a subnetwork in the same VPC, in europe-west1.2. Create the new instance in the new subnetwork and use the first instance ' s private address as the endpoint.

B.

1. Create a VPC and a subnetwork in europe-west1.2. Expose the application with an internal load balancer.3. Create the new instance in the new subnetwork and use the load balancer ' s address as the endpoint.

C.

1. Create a subnetwork in the same VPC, in europe-west1.2. Use Cloud VPN to connect the two subnetworks.3. Create the new instance in the new subnetwork and use the first instance ' s private address as the endpoint.

D.

1. Create a VPC and a subnetwork in europe-west1.2. Peer the 2 VPCs.3. Create the new instance in the new subnetwork and use the first instance ' s private address as the endpoint.

Go to page: