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Upon passing the Google Associate Cloud Engineer certification exam, you will receive a certificate that demonstrates your proficiency in operating and deploying applications, infrastructure, and services on the Google Cloud Platform. Google Associate Cloud Engineer Exam certification can help boost your career prospects, as it is recognized by employers and demonstrates that you have a strong understanding of cloud computing and the Google Cloud Platform.
To prepare for the Google Associate-Cloud-Engineer Certification Exam, candidates can take advantage of various resources provided by Google Cloud, such as online training courses, practice exams, and study guides. Candidates can also gain hands-on experience working with Google Cloud Platform by using the free trial offered by Google Cloud. Google Associate Cloud Engineer Exam certification exam is a great way for individuals to demonstrate their knowledge and expertise in Google Cloud Platform and to enhance their career prospects in the field.
Google Associate Cloud Engineer Exam Sample Questions (Q103-Q108):
NEW QUESTION # 103
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 a Secret object. Modify the YAML file to populate the DB_PASSWORD environment variable from the Secret.
- B. Store the database password inside a ConfigMap object. Modify the YAML file to populate the DB_PASSWORD environment variable from the ConfigMap.
- C. Store the database password inside the Docker image of the container, not in the YAML file.
- 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.
Answer: A
Explanation:
https://cloud.google.com/config-connector/docs/how-to/secrets#gcloud
NEW QUESTION # 104
Your company has a 3-tier solution running on Compute Engine. The configuration of the current infrastructure is shown below.
Each tier has a service account that is associated with all instances within it. You need to enable communication on TCP port 8080 between tiers as follows:
* Instances in tier #1 must communicate with tier #2.
* Instances in tier #2 must communicate with tier #3.
What should you do?
- A. 1. Create an egress firewall rule with the following settings:* Targets: all instances* Source filter: IP ranges (with the range set to 10.0.2.0/24)* Protocols: allow TCP: 80802. Create an egress firewall rule with the following settings:* Targets: all instances* Source filter: IP ranges (with the range set to
10.0.1.0/24)* Protocols: allow TCP: 8080 - B. 1. Create an ingress firewall rule with the following settings:* Targets: all instances with tier #2 service account* Source filter: all instances with tier #1 service account* Protocols: allow all2. Create an ingress firewall rule with the following settings:* Targets: all instances with tier #3 service account* Source filter: all instances with tier #2 service account* Protocols: allow all
- C. 1. Create an ingress firewall rule with the following settings:* Targets: all instances* Source filter: IP ranges (with the range set to 10.0.2.0/24)* Protocols: allow all2. Create an ingress firewall rule with the following settings:* Targets: all instances* Source filter: IP ranges (with the range set to 10.0.1.0/24)* Protocols: allow all
- D. 1. Create an ingress firewall rule with the following settings:* Targets: all instances with tier #2 service account* Source filter: all instances with tier #1 service account* Protocols: allow TCP:80802. Create an ingress firewall rule with the following settings:* Targets: all instances with tier #3 service account* Source filter: all instances with tier #2 service account* Protocols: allow TCP: 8080
Answer: D
Explanation:
1. Create an ingress firewall rule with the following settings:
* Targets: all instances with tier #2 service account
* Source filter: all instances with tier #1 service account
* Protocols: allow TCP:8080 2. Create an ingress firewall rule with the following settings:
* Targets: all instances with tier #3 service account
* Source filter: all instances with tier #2 service account
* Protocols: allow TCP: 8080
NEW QUESTION # 105
You are configuring service accounts for an application that spans multiple projects. Virtual machines (VMs) running in the web-applications project need access to BigQuery datasets in crm-databases-proj. You want to follow Google-recommended practices to give access to the service account in the web-applications project.
What should you do?
- A. Give "project owner" role to crm-databases-proj and bigquery.dataViewer role to web-applications.
- B. Give bigquery.dataViewer role to crm-databases-proj and appropriate roles to web-applications.
- C. Give "project owner" role to crm-databases-proj and the web-applications project.
- D. Give "project owner" for web-applications appropriate roles to crm-databases- proj
Answer: B
NEW QUESTION # 106
(You are deploying an application to Google Kubernetes Engine (GKE). The application needs to make API calls to a private Cloud Storage bucket. You need to configure your application Pods to authenticate to the Cloud Storage API, but your organization policy prevents the usage of service account keys. You want to follow Google-recommended practices. What should you do?)
- A. Create the GKE cluster and deploy the application. Request a security exception to create a Google service account key. Set the constraints/iam.serviceAccountKeyExpiryHours organization policy to 8 hours.
- B. Create the GKE cluster with Workload Identity Federation. Create a Google service account and a Kubernetes ServiceAccount, and configure both service accounts to use Workload Identity Federation.Attach the Kubernetes ServiceAccount to the application Pods and configure the Google service account to access the bucket with Identity and Access Management (IAM).
- C. Create the GKE cluster with Workload Identity Federation. Configure the default node service account to access the bucket. Deploy the application into the cluster so the application can use the node service account permissions. Use Identity and Access Management (IAM) to grant the service account access to the bucket.
- D. Create the GKE cluster and deploy the application. Request a security exception to create a Google service account key. Set the constraints/iam.serviceAccountKeyExpiryHours organization policy to 24 hours.
Answer: B
Explanation:
The organization policy explicitly prevents the use of service account keys, so options A and B, which involve requesting exceptions to create them, are not in line with the policy and Google's recommended practices for secure authentication.
NEW QUESTION # 107
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 group for the instance. Verify that the 'Advanced creation options' setting for 'do not retry machine creation' is set to off.
- B. Create an instance template for the instances. Set 'Automatic Restart' to off. Set 'On-host maintenance' to Terminate VM instances. Add the instance template to an instance group.
- C. 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 instance group.
- D. Create an instance group for the instances. Set the 'Autohealing' health check to healthy (HTTP).
Answer: C
Explanation:
Create an instance template for the instances so VMs have same specs. Set the "":Automatic Restart' to on to VM automatically restarts upon crash. Set the ""On-host maintenance' to Migrate VM instance. This will take care of VM during maintenance window. It will migrate VM instance making it highly available Add the instance template to an instance group so instances can be managed.
* 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 stops an instance instead of migrating it.
* automaticRestart: Determines the behavior when an instance crashes or is stopped by the system.
* [Default] true, so Compute Engine restarts an instance if the instance crashes or is stopped.
* false, so Compute Engine does not restart an instance if the instance crashes or is stopped.
Enabling automatic restart ensures that compute engine instances are automatically restarted when they crash.
And Enabling Migrate VM Instance enables live migrates i.e. compute instances are migrated during system maintenance and remain running during the migration.
Automatic Restart If your instance is set to terminate when there is a maintenance event, or if your instance crashes because of an underlying hardware issue, you can set up Compute Engine to automatically restart the instance by setting the automaticRestart field to true. This setting does not apply if the instance is taken offline through a user action, such as calling sudo shutdown, or during a zone outage.Ref: https://cloud.google.com/compute/docs/instances/setting-instance-scheduling-options#autorestart Enabling the Migrate VM Instance option migrates your instance away from an infrastructure maintenance event, and your instance remains running during the migration. Your instance might experience a short period of decreased performance, although generally, most instances should not notice any difference. This is ideal for instances that require constant uptime and can tolerate a short period of decreased performance.Ref: https://cloud.google.com/compute/docs/instances/setting-instance-scheduling-options#live_mi
NEW QUESTION # 108
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