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To become a Google Associate Cloud Engineer, candidates must pass the Associate-Cloud-Engineer Exam, which is an online, proctored exam that can be taken from anywhere in the world. Associate-Cloud-Engineer exam fee is $125, and candidates can register for the exam on the Google Cloud Platform website. Google Associate Cloud Engineer Exam certification is valid for two years, after which candidates must renew their certification by passing the current version of the exam.

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Google Associate-Cloud-Engineer exam consists of multiple-choice questions and requires the candidate to demonstrate their proficiency in various cloud computing concepts, including cloud computing fundamentals, storage and compute resources, network fundamentals, and security and compliance. Associate-Cloud-Engineer Exam is designed to assess the candidate's ability to use Google Cloud Platform to design and deploy cloud-based solutions that meet the needs of the organization.

Google Associate Cloud Engineer Exam Sample Questions (Q249-Q254):

NEW QUESTION # 249
You have an application running inside a Compute Engine instance. You want to provide the application with secure access to a BigQuery dataset. You must ensure that credentials are only valid for a short period of time, and your application will only have access to the intended BigQuery dataset. You want to follow Google-recommended practices and minimize your operational costs.
What should you do?

A. Attach a new service account to the instance every hour, and grant the service account the BigQuery Data Viewer IAM role on the dataset.
B. Attach a custom service account to the instance, and grant the service account the BigQuery Data Viewer IAM role on the project.
C. Attach a custom service account to the instance, and grant the service account the BigQuery Data Viewer IAM role on the dataset.
D. Attach a new service account to the instance every hour, and grant the service account the BigQuery Data Viewer IAM role on the project.

Answer: C

Explanation:
Attaching a new service account to the instance every hour and granting the service account the BigQuery Data Viewer IAM role on the dataset ensures that the credentials are valid only for a short period of time and restrict access to the specific BigQuery dataset. This approach follows the principle of least privilege, minimizing the scope of access and ensuring secure and time- limited credentials.

NEW QUESTION # 250
Your existing application running in Google Kubernetes Engine (GKE) consists of multiple pods running on four GKE n1-standard-2 nodes. You need to deploy additional pods requiring n2- highmem-16 nodes without any downtime. What should you do?

A. Create a new cluster with n2-highmem-16 nodes.
Redeploy the pods and delete the old cluster.
B. Create a new Node Pool and specify machine type n2-highmem-16.
Deploy the new pods.
C. Use gcloud container clusters upgrade.
Deploy the new services.
D. Create a new cluster with both n1-standard-2 and n2-highmem-16 nodes.
Redeploy the pods and delete the old cluster.

Answer: B

Explanation:
When you need to change the machine profile of your Compute Engine cluster, you can create a new node pool and then migrate your workloads over to the new node pool.

NEW QUESTION # 251
You have a Google Cloud Platform account with access to both production and development projects. You need to create an automated process to list all compute instances in development and production projects on a daily basis. What should you do?

A. Go to Cloud Shell and export this information to Cloud Storage on a daily basis.
B. Go to GCP Console and export this information to Cloud SQL on a daily basis.
C. Create two configurations using gsutil config. Write a script that sets configurations as active, individually. For each configuration, use gsutil compute instances list to get a list of compute resources.
D. Create two configurations using gcloud config. Write a script that sets configurations as active, individually. For each configuration, use gcloud compute instances list to get a list of compute resources.

Answer: D

Explanation:
gcloud compute instances list - list Google Compute Engine instances
gcloud compute instances list displays all Google Compute Engine instances in a project.
By default, instances from all zones are listed. The results can be narrowed down using a filter: -- filter="zone:( ZONE ... )".
https://cloud.google.com/sdk/gcloud/reference/compute/instances/list

NEW QUESTION # 252
Your team has developed a stateless application which requires it to be run directly on virtual machines. The application is expected to receive a fluctuating amount of traffic and needs to scale automatically. You need to deploy the application. What should you do?

A. Deploy the application on a managed instance group and configure autoscaling.
B. Deploy the application on Cloud Functions and configure the maximum number instances.
C. Deploy the application on Cloud Run and configure autoscaling.
D. Deploy the application on a Kubernetes Engine cluster and configure node pool autoscaling.

Answer: A

Explanation:
Managed Instance Groups (MIGs): MIGs are designed to manage groups of identical VMs, making them ideal for running stateless applications. They provide features like auto-scaling, auto-healing, and load balancing, which are crucial for handling fluctuating traffic.
Autoscaling: You can configure autoscaling policies to automatically add or remove VM instances based on metrics like CPU utilization, HTTP load balancing traffic, or Stackdriver Monitoring metrics. This ensures that your application can scale up to handle peak traffic and scale down during periods of low demand.

NEW QUESTION # 253
You need to select and configure compute resources for a set of batch processing jobs. These jobs take around
2 hours to complete and are run nightly. You want to minimize service costs. What should you do?

A. Select Google Kubernetes Engine. Use a three-node cluster with micro instance types.
B. Select Compute Engine. Use preemptible VM instances of the appropriate standard machine type.
C. Select Google Kubernetes Engine. Use a single-node cluster with a small instance type.
D. Select Compute Engine. Use VM instance types that support micro bursting.

Answer: B

Explanation:
Explanation
If your apps are fault-tolerant and can withstand possible instance preemptions, then preemptible instances can reduce your Compute Engine costs significantly. For example, batch processing jobs can run on preemptible instances. If some of those instances stop during processing, the job slows but does not completely stop.
Preemptible instances complete your batch processing tasks without placing additional workload on your existing instances and without requiring you to pay full price for additional normal instances.
https://cloud.google.com/compute/docs/instances/preemptible

NEW QUESTION # 254
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