ExamGecko
Login
Home / Google / Associate Cloud Engineer / List of questions
Ask Question

Google Associate Cloud Engineer Practice Test - Questions Answers, Page 2

List of questions

Question 11

Report
Export
Collapse

You need a dynamic way of provisioning VMs on Compute Engine. The exact specifications will be in a dedicated configuration file. You want to follow Google's recommended practices. Which method should you use?

Deployment Manager
Deployment Manager
Cloud Composer
Cloud Composer
Managed Instance Group
Managed Instance Group
Unmanaged Instance Group
Unmanaged Instance Group
Suggested answer: A

Explanation:

https://cloud.google.com/deployment-manager/docs/configuration/create-basic-configuration

asked 18/09/2024
Armands Vestmanis
45 questions

Question 12

Report
Export
Collapse

You have a Dockerfile that you need to deploy on Kubernetes Engine. What should you do?

Use kubectl app deploy <dockerfilename>.
Use kubectl app deploy <dockerfilename>.
Use gcloud app deploy <dockerfilename>.
Use gcloud app deploy <dockerfilename>.
Create a docker image from the Dockerfile and upload it to Container Registry. Create a Deployment YAML file to point to that image. Use kubectl to create the deployment with that file.
Create a docker image from the Dockerfile and upload it to Container Registry. Create a Deployment YAML file to point to that image. Use kubectl to create the deployment with that file.
Create a docker image from the Dockerfile and upload it to Cloud Storage. Create a Deployment YAML file to point to that image. Use kubectl to create the deployment with that file.
Create a docker image from the Dockerfile and upload it to Cloud Storage. Create a Deployment YAML file to point to that image. Use kubectl to create the deployment with that file.
Suggested answer: C
asked 18/09/2024
sarath raj
41 questions

Question 13

Report
Export
Collapse

You have a Dockerfile that you need to deploy on Kubernetes Engine. What should you do?

Use kubectl app deploy <dockerfilename>.
Use kubectl app deploy <dockerfilename>.
Use gcloud app deploy <dockerfilename>.
Use gcloud app deploy <dockerfilename>.
Create a docker image from the Dockerfile and upload it to Container Registry. Create a Deployment YAML file to point to that image. Use kubectl to create the deployment with that file.
Create a docker image from the Dockerfile and upload it to Container Registry. Create a Deployment YAML file to point to that image. Use kubectl to create the deployment with that file.
Create a docker image from the Dockerfile and upload it to Cloud Storage. Create a Deployment YAML file to point to that image. Use kubectl to create the deployment with that file.
Create a docker image from the Dockerfile and upload it to Cloud Storage. Create a Deployment YAML file to point to that image. Use kubectl to create the deployment with that file.
Suggested answer: C
asked 18/09/2024
Tiffany Peterson
38 questions

Question 14

Report
Export
Collapse

You need to update a deployment in Deployment Manager without any resource downtime in the deployment. Which command should you use?

gcloud deployment-manager deployments create --config <deployment-config-path>
gcloud deployment-manager deployments create --config <deployment-config-path>
gcloud deployment-manager deployments update --config <deployment-config-path>
gcloud deployment-manager deployments update --config <deployment-config-path>
gcloud deployment-manager resources create --config <deployment-config-path>
gcloud deployment-manager resources create --config <deployment-config-path>
gcloud deployment-manager resources update --config <deployment-config-path>
gcloud deployment-manager resources update --config <deployment-config-path>
Suggested answer: B
asked 18/09/2024
mahdis khaledi
46 questions

Question 15

Report
Export
Collapse

You need to run an important query in BigQuery but expect it to return a lot of records. You want to find out how much it will cost to run the query. You are using on-demand pricing. What should you do?

Arrange to switch to Flat-Rate pricing for this query, then move back to on-demand.
Arrange to switch to Flat-Rate pricing for this query, then move back to on-demand.
Use the command line to run a dry run query to estimate the number of bytes read. Then convert that bytes estimate to dollars using the Pricing Calculator.
Use the command line to run a dry run query to estimate the number of bytes read. Then convert that bytes estimate to dollars using the Pricing Calculator.
Use the command line to run a dry run query to estimate the number of bytes returned. Then convert that bytes estimate to dollars using the Pricing Calculator.
Use the command line to run a dry run query to estimate the number of bytes returned. Then convert that bytes estimate to dollars using the Pricing Calculator.
Run a select count (*) to get an idea of how many records your query will look through. Then convert that number of rows to dollars using the Pricing Calculator.
Run a select count (*) to get an idea of how many records your query will look through. Then convert that number of rows to dollars using the Pricing Calculator.
Suggested answer: B

Explanation:

On-demand pricing Under on-demand pricing, BigQuery charges for queries by using one metric: the number of bytes processed (also referred to as bytes read). You are charged for the number of bytes processed whether the data is stored in BigQuery or in an external data source such as Cloud Storage, Drive, or Cloud Bigtable. On-demand pricing is based solely on usage. https://cloud.google.com/bigquery/pricing#on_demand_pricing

asked 18/09/2024
Chakravarthy Sankaranarayanan
34 questions

Question 16

Report
Export
Collapse

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?

Create a Google Kubernetes Engine cluster, and use horizontal pod autoscaling to scale the application.
Create a Google Kubernetes Engine cluster, and use horizontal pod autoscaling to scale the application.
Create an instance template, and use the template in a managed instance group with autoscaling configured.
Create an instance template, and use the template in a managed instance group with autoscaling configured.
Create an instance template, and use the template in a managed instance group that scales up and down based on the time of day.
Create an instance template, and use the template in a managed instance group that scales up and down based on the time of day.
Use a set of third-party tools to build automation around scaling the application up and down, based on Stackdriver CPU usage monitoring.
Use a set of third-party tools to build automation around scaling the application up and down, based on Stackdriver CPU usage monitoring.
Suggested answer: B

Explanation:

Managed instance groups offer autoscaling capabilities that let you automatically add or delete instances from a managed instance group based on increases or decreases in load (CPU Utilization in this case). Autoscaling helps your apps gracefully handle increases in traffic and reduce costs when the need for resources is lower. You define the autoscaling policy and the autoscaler performs automatic scaling based on the measured load (CPU Utilization in this case). Autoscaling works by adding more instances to your instance group when there is more load (upscaling), and deleting instances when the need for instances is lowered (downscaling). Ref: https://cloud.google.com/compute/docs/autoscaler

asked 18/09/2024
David Galiata
32 questions

Question 17

Report
Export
Collapse

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?

Export your bill to a Cloud Storage bucket, and then import into Cloud Bigtable for analysis.
Export your bill to a Cloud Storage bucket, and then import into Cloud Bigtable for analysis.
Export your bill to a Cloud Storage bucket, and then import into Google Sheets for analysis.
Export your bill to a Cloud Storage bucket, and then import into Google Sheets for analysis.
Export your transactions to a local file, and perform analysis with a desktop tool.
Export your transactions to a local file, and perform analysis with a desktop tool.
Export your bill to a BigQuery dataset, and then write time window-based SQL queries for analysis.
Export your bill to a BigQuery dataset, and then write time window-based SQL queries for analysis.
Suggested answer: D

Explanation:

'...we recommend that you enable Cloud Billing data export to BigQuery at the same time that you create a Cloud Billing account. ' https://cloud.google.com/billing/docs/how-to/export-data-bigquery

https://medium.com/google-cloud/analyzing-google-cloud-billing-data-with-big-query-30bae1c2aae4

asked 18/09/2024
David Hartnett
45 questions

Question 18

Report
Export
Collapse

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?

Use 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 -- 90)
Use 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 -- 90)
Use 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.
Use 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.
Use gsutil rewrite and set the Delete action to 275 days (365-90).
Use gsutil rewrite and set the Delete action to 275 days (365-90).
Use gsutil rewrite and set the Delete action to 365 days.
Use gsutil rewrite and set the Delete action to 365 days.
Suggested answer: A

Explanation:

https://cloud.google.com/storage/docs/lifecycle#setstorageclass-cost

# The object's time spent set at the original storage class counts towards any minimum storage duration that applies for the new storage class.

asked 18/09/2024
Sasha Grib
33 questions

Question 19

Report
Export
Collapse

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?

When creating the VM via the web console, specify the service account under the 'Identity and API Access' section.
When creating the VM via the web console, specify the service account under the 'Identity and API Access' section.
Download 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.
Download 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.
Download 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.
Download 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.
Download 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.
Download 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.
Suggested answer: A

Explanation:

https://cloud.google.com/compute/docs/access/create-enable-service-accounts-for-instances

Changing the service account and access scopes for an instance If you want to run the VM as a different identity, or you determine that the instance needs a different set of scopes to call the required APIs, you can change the service account and the access scopes of an existing instance. For example, you can change access scopes to grant access to a new API, or change an instance so that it runs as a service account that you created, instead of the Compute Engine default service account. However, Google recommends that you use the fine-grained IAM policies instead of relying on access scopes to control resource access for the service account. To change an instance's service account and access scopes, the instance must be temporarily stopped. To stop your instance, read the documentation for Stopping an instance. After changing the service account or access scopes, remember to restart the instance. Use one of the following methods to the change service account or access scopes of the stopped instance.

asked 18/09/2024
Samya Sharab
40 questions

Question 20

Report
Export
Collapse

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?

Install a RDP client on your desktop. Verify that a firewall rule for port 3389 exists.
Install a RDP client on your desktop. Verify that a firewall rule for port 3389 exists.
Install 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.
Install 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.
Set 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.
Set 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.
Set 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.
Set 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.
Suggested answer: D

Explanation:

https://cloud.google.com/compute/docs/instances/connecting-to-windows#remote-desktop-connection-app

https://cloud.google.com/compute/docs/instances/windows/generating-credentials

https://cloud.google.com/compute/docs/instances/connecting-to-windows#before-you-begin

asked 18/09/2024
mohamed mamdouh
43 questions
Total 296 questions
Go to page: of 30
Search
Open VPLUS File
Convert VPLUS to PDF

Related questions

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?
You create a Deployment with 2 replicas in a Google Kubernetes Engine cluster that has a single preemptible node pool. After a few minutes, you use kubectl to examine the status of your Pod and observe that one of them is still in Pending status: What is the most likely cause?
You need to create a copy of a custom Compute Engine virtual machine (VM) to facilitate an expected increase in application traffic due to a business acquisition. What should you do?
Your Dataproc cluster runs in a single Virtual Private Cloud (VPC) network in a single subnet with range 172.16.20.128/25. There are no private IP addresses available in the VPC network. You want to add new VMs to communicate with your cluster using the minimum number of steps. What should you do?
You are building an archival solution for your data warehouse and have selected Cloud Storage to archive your dat
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?
You have deployed an application on a single Compute Engine instance. The application writes logs to disk. Users start reporting errors with the application. You want to diagnose the problem. What should you do?
You want to configure 10 Compute Engine instances for availability when maintenance occurs. Your requirements state that these instances should attempt to automatically restart if they crash. Also, the instances should be highly available including during system maintenance. What should you do?
You have downloaded and installed the gcloud command line interface (CLI) and have authenticated with your Google Account. Most of your Compute Engine instances in your project run in the europe-west1-d zone. You want to avoid having to specify this zone with each CLI command when managing these instances. What should you do?
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?