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NEW QUESTION # 24
You have designed a solution on Google Cloud Platform (GCP) that uses multiple GCP products. Your company has asked you to estimate the costs of the solution. You need to provide estimates for the monthly total cost. What should you do?
- A. For each GCP product in the solution, review the pricing details on the products pricing page. Use the pricing calculator to total the monthly costs for each GCP product.
- B. For each GCP product in the solution, review the pricing details on the products pricing page. Create a Google Sheet that summarizes the expected monthly costs for each product.
- C. Provision the solution on GCP. Leave the solution provisioned for 1 week. Use Stackdriver to determine the provisioned and used resource amounts. Multiply the 1 week cost to determine the monthly costs.
- D. Provision the solution on GCP. Leave the solution provisioned for 1 week. Navigate to the Billing Report page in the Google Cloud Platform Console. Multiply the 1 week cost to determine the monthly costs.
Answer: A
NEW QUESTION # 25
You are running a web application on Cloud Run for a few hundred users. Some of your users complain that the initial web page of the application takes much longer to load than the following pages. You want to follow Google's recommendations to mitigate the issue. What should you do?
- A. Update your web application to use the protocol HTTP/2 instead of HTTP/1.1
- B. Set the minimum number of instances for your Cloud Run service to 3.
- C. Set the concurrency number to 1 for your Cloud Run service.
- D. Set the maximum number of instances for your Cloud Run service to 100.
Answer: B
NEW QUESTION # 26
You have been asked to set up the billing configuration for a new Google Cloud customer. Your customer wants to group resources that share common IAM policies. What should you do?
- A. Set up a proper project naming structure to group IAM policies
- B. Set up a proper billing account structure to group IAM policies
- C. Use folders to group resources that share common IAM policies
- D. Use labels to group resources that share common IAM policies
Answer: C
NEW QUESTION # 27
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?
- A. Create an instance template for the instances.
Set the `Automatic Restart' to on. Set the `On-host maintenance' to Migrate VM instance.
Add the instance template to an intsance group. - B. Create an instance template for the instances.
`Automatic Restart' to off. Set `On-host maintenance' to Terminate VM instances.
Add the instance template to an instance group. - C. Create an instance group for the instances.
Set the `Autohealing' health check to healthy (HTTP). - D. Create an instance group for the instance.
Verify that the `Advanced creation options' setting for `do not retry machine creation' is set to off.
Answer: A
Explanation:
Configure an instance's maintenance behavior and automatic restart setting using the onHostMaintenance and automaticRestart properties. All instances are configured with default values unless you explicitly specify otherwise.
onHostMaintenance: Determines the behavior when a maintenance event occurs that might cause your instance to reboot.
[Default] migrate, which causes Compute Engine to live migrate an instance when there is a maintenance event.
terminate, which terminates an instance instead of migrating it.
NEW QUESTION # 28
Your team maintains the infrastructure for your organization. The current infrastructure requires changes. You need to share your proposed changes with the rest of the team. You want to follow Google's recommended best practices. What should you do?
- A. Apply the change in a development environment, run gcloud compute instances list, and then save the output in Cloud Source Repositories.
- B. Use Deployment Manager templates to describe the proposed changes and store them in a Cloud Storage bucket.
- C. Apply the change in a development environment, run gcloud compute instances list, and then save the output in a shared Storage bucket.
- D. Use Deployment Manager templates to describe the proposed changes and store them in Cloud Source Repositories.
Answer: D
Explanation:
Deployment Manager Template can be written in either Jinja or Python, this is Infrastructure as Code (IaC) we are talking about here, same as AWS Cloudformation, or Terraform. Therefore, they should be stored on a git repository such as Google Cloud Source Repositories.
NEW QUESTION # 29
You need to provide a cost estimate for a Kubernetes cluster using the GCP pricing calculator for Kubernetes.
Your workload requires high IOPs, and you will also be using disk snapshots. You start by entering the number of nodes, average hours, and average days. What should you do next?
- A. Select Add GPUs. Add estimated cost for cluster management.
- B. Fill in local SSD. Add estimated cost for cluster management.
- C. Fill in local SSD. Fill in persistent disk storage and snapshot storage.
- D. Select Add GPUs. Fill in persistent disk storage and snapshot storage.
Answer: D
Explanation:
Explanation/Reference: https://cloud.google.com/products/calculator#tab=container
NEW QUESTION # 30
Your company runs one batch process in an on-premises server that takes around 30 hours to complete. The task runs monthly, can be performed offline, and must be restarted if interrupted. You want to migrate this workload to the cloud while minimizing cost. What should you do?
- A. Create an Instance Template with Preemptible VMs On. Create a Managed Instance Group from the template and adjust Target CPU Utilization. Migrate the workload.
- B. Migrate the workload to a Compute Engine VM. Start and stop the instance as needed.
- C. Migrate the workload to a Compute Engine Preemptible VM.
- D. Migrate the workload to a Google Kubernetes Engine cluster with Preemptible nodes.
Answer: D
NEW QUESTION # 31
Several employees at your company have been creating projects with Cloud Platform and paying for it with their personal credit cards, which the company reimburses. The company wants to centralize all these projects under a single, new billing account. What should you do?
- A. Create a ticket with Google Support and wait for their call to share your credit card details over the phone.
- B. In the Google Cloud Platform Console, create a new billing account and set up a payment method.
- C. Contact [email protected] with your bank account details and request a corporate billing account for your company.
- D. In the Google Platform Console, go to the Resource Manage and move all projects to the root Organization.
Answer: B
NEW QUESTION # 32
Your company set up a complex organizational structure on Google Could Platform. The structure includes hundreds of folders and projects. Only a few team members should be able to view the hierarchical structure.
You need to assign minimum permissions to these team members and you want to follow Google- recommended practices. What should you do?
- A. Add the users to a group, and add this group to roles/iam.roleViewer role.
- B. Add the users to roles/iam.roleViewer role.
- C. Add the users to a group, and add this group to roles/browser role.
- D. Add the users to roles/browser role.
Answer: D
Explanation:
Explanation/Reference:
NEW QUESTION # 33
You are using multiple configurations for gcloud. You want to review the configured Kubernetes Engine cluster of an inactive configuration using the fewest possible steps. What should you do?
- A. Use kubectl config use-context and kubectl config view to review the output.
- B. Use kubectl config get-contexts to review the output.
- C. Use gcloud config configurations activate and gcloud config list to review the output.
- D. Use gcloud config configurations describe to review the output.
Answer: A
Explanation:
get-contexts does not show clusters it only shows contexts.
https://kubernetes.io/docs/reference/kubectl/cheatsheet/#kubectl-context-and-configuration
NEW QUESTION # 34
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?
- A. Create an instance template for the instances.
`Automatic Restart' to off. Set `On-host maintenance' to Terminate VM instances.
Add the instance template to an instance group. - B. Create an instance template for the instances.
Set the `Automatic Restart' to on. Set the `On-host maintenance' to Migrate VM instance.
Add the instance template to an intsance group. - C. Create an instance group for the instances.
Set the `Autohealing' health check to healthy (HTTP). - D. Create an instance group for the instance.
Verify that the `Advanced creation options' setting for `do not retry machine creation' is set to off.
Answer: A
NEW QUESTION # 35
Your company uses Cloud Storage to store application backup files for disaster recovery purposes. You want to follow Google's recommended practices. Which storage option should you use?
- A. Regional Storage
- B. Nearline Storage
- C. Multi-Regional Storage
- D. Coldline Storage
Answer: D
Explanation:
Reference:
https://cloud.google.com/storage/docs/storage-classes#nearline
NEW QUESTION # 36
Your engineers need to pass database credentials to a Kubernetes Pod. The YAML they're using looks similar to the following:
apiVersion: "extensions/v1beta1"
kind: "Deployment"
metadata:
name: "products-service"
namespace: "default"
labels:
app: "products-service"
spec:
replicas: 3
selector:
matchLabels:
app: "products-service"
template:
metadata:
labels:
app: "products-service"
spec:
containers:
- name: "products"
image: "gcr.io/find-seller-app-dev/products:latest"
env:
- name: "database_user"
value: "admin"
- name: "database_password"
value: "TheB3stP@ssW0rd"
What is Google's recommended best practice for working with sensitive information inside of Kubernetes?
- A. Store the credentials in a ConfigMap.
- B. Mount the credentials in a volume.
- C. Store the credentials in a Secret.
- D. Use an environment variable.
Answer: C
NEW QUESTION # 37
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?
- A. Use gsutil rewrite and set the Delete action to 275 days (365-90).
- B. Use gsutil rewrite and set the Delete action to 365 days.
- C. 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)
- D. 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.
Answer: C
NEW QUESTION # 38
You are managing several Google Cloud Platform (GCP) projects and need access to all logs for the past 60 days. You want to be able to explore and quickly analyze the log contents. You want to follow Google- recommended practices to obtain the combined logs for all projects. What should you do?
- A. Create a Stackdriver Logging Export with a Sink destination to a BigQuery dataset. Configure the table expiration to 60 days.
- B. Configure a Cloud Scheduler job to read from Stackdriver and store the logs in BigQuery. Configure the table expiration to 60 days.
- C. Create a Stackdriver Logging Export with a Sink destination to Cloud Storage. Create a lifecycle rule to delete objects after 60 days.
- D. Navigate to Stackdriver Logging and select resource.labels.project_id="*"
Answer: A
Explanation:
Explanation
Navigate to Stackdriver Logging and select resource.labels.project_id=*. is not right.
Log entries are held in Stackdriver Logging for a limited time known as the retention period which is 30 days (default configuration). After that, the entries are deleted. To keep log entries longer, you need to export them outside of Stackdriver Logging by configuring log sinks.
Ref: https://cloud.google.com/blog/products/gcp/best-practices-for-working-with-google-cloud-audit-logging Configure a Cloud Scheduler job to read from Stackdriver and store the logs in BigQuery. Configure the table expiration to 60 days. is not right.
While this works, it makes no sense to use Cloud Scheduler job to read from Stackdriver and store the logs in BigQuery when Google provides a feature (export sinks) that does exactly the same thing and works out of the box.Ref: https://cloud.google.com/logging/docs/export/configure_export_v2 Create a Stackdriver Logging Export with a Sink destination to Cloud Storage. Create a lifecycle rule to delete objects after 60 days. is not right.
You can export logs by creating one or more sinks that include a logs query and an export destination.
Supported destinations for exported log entries are Cloud Storage, BigQuery, and Pub/Sub.Ref: https://cloud.google.com/logging/docs/export/configure_export_v2 Sinks are limited to exporting log entries from the exact resource in which the sink was created: a Google Cloud project, organization, folder, or billing account. If it makes it easier to exporting from all projects of an organication, you can create an aggregated sink that can export log entries from all the projects, folders, and billing accounts of a Google Cloud organization.Ref: https://cloud.google.com/logging/docs/export/aggregated_sinks Either way, we now have the data in Cloud Storage, but querying logs information from Cloud Storage is harder than Querying information from BigQuery dataset. For this reason, we should prefer Big Query over Cloud Storage.
Create a Stackdriver Logging Export with a Sink destination to a BigQuery dataset. Configure the table expiration to 60 days. is the right answer.
You can export logs by creating one or more sinks that include a logs query and an export destination.
Supported destinations for exported log entries are Cloud Storage, BigQuery, and Pub/Sub.Ref: https://cloud.google.com/logging/docs/export/configure_export_v2 Sinks are limited to exporting log entries from the exact resource in which the sink was created: a Google Cloud project, organization, folder, or billing account. If it makes it easier to exporting from all projects of an organication, you can create an aggregated sink that can export log entries from all the projects, folders, and billing accounts of a Google Cloud organization.Ref: https://cloud.google.com/logging/docs/export/aggregated_sinks Either way, we now have the data in a BigQuery Dataset. Querying information from a Big Query dataset is easier and quicker than analyzing contents in Cloud Storage bucket. As our requirement is to Quickly analyze the log contents, we should prefer Big Query over Cloud Storage.
Also, You can control storage costs and optimize storage usage by setting the default table expiration for newly created tables in a dataset. If you set the property when the dataset is created, any table created in the dataset is deleted after the expiration period. If you set the property after the dataset is created, only new tables are deleted after the expiration period.For example, if you set the default table expiration to 7 days, older data is automatically deleted after 1 week.Ref: https://cloud.google.com/bigquery/docs/best-practices-storage
NEW QUESTION # 39
You deployed a new application inside your Google Kubernetes Engine cluster using the YAML file specified below.
You check the status of the deployed pods and notice that one of them is still in PENDING status:
You want to find out why the pod is stuck in pending status. What should you do?
- A. View logs of the container in myapp-deployment-58ddbbb995-lp86mpod and check for warning messages.
- B. Review details of the myapp-service Service object and check for error messages.
- C. Review details of myapp-deployment-58ddbbb995-lp86mPod and check for warning messages.
- D. Review details of the myapp-deploymentDeployment object and check for error messages.
Answer: C
Explanation:
Explanation/Reference: https://cloud.google.com/run/docs/gke/troubleshooting
NEW QUESTION # 40
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Google Associate-Cloud-Engineer Certification Exam consists of multiple-choice questions and is designed to test the candidate’s knowledge and understanding of Google Cloud Platform. Associate-Cloud-Engineer exam covers topics such as deploying applications, managing virtual machines, networking, storage, and security. Associate-Cloud-Engineer exam also tests the candidate’s ability to use Google Cloud Console, Google Cloud SDK, and other command-line tools.
Google Associate-Cloud-Engineer Exam is a certification exam offered by Google that tests an individual's knowledge and skills in cloud computing. Associate-Cloud-Engineer exam is designed to assess the examinee's ability to deploy and manage Google Cloud Platform (GCP) services, including computing, storage, networking, and security. Associate-Cloud-Engineer exam is intended for individuals who have experience in cloud computing and are looking to validate their skills and knowledge.
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