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Google Associate-Cloud-Engineer Exam Overview:

Certification Vendor:	Google Cloud
Exam Name:	Google Cloud Associate Cloud Engineer
Exam Number:	GCP ACE
Certificate Validity Period:	2 years
Exam Format:	Multiple Choice, Multiple Select
Available Languages:	Japanese, Spanish, Portuguese, English
Related Certifications:	Professional Cloud Architect Professional Data Engineer Professional Cloud Developer
Exam Duration:	120 minutes
Passing Score:	70%
Exam Price:	$125 USD
Real Exam Qty:	50
Sample Questions:	Google Associate-Cloud-Engineer Sample Questions
Exam Way:	Online proctored or in-person testing center
Pre Condition:	No formal prerequisites required. Recommended: hands-on experience with GCP Console and command-line tools, basic understanding of cloud computing concepts.
Official Syllabus URL:	https://cloud.google.com/certification/associate-cloud-engineer

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Google Associate Cloud Engineer Exam Sample Questions (Q311-Q316):

NEW QUESTION # 311
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. Fill in persistent disk storage and snapshot storage.
B. Fill in local SSD. Add estimated cost for cluster management.
C. Select Add GPUs. Add estimated cost for cluster management.
D. Fill in local SSD. Fill in persistent disk storage and snapshot storage.

Answer: A

NEW QUESTION # 312
You need to set up permissions for a set of Compute Engine instances to enable them to write data into a particular Cloud Storage bucket. You want to follow Google-recommended practices. What should you do?

A. Create a service account and add it to the IAM role 'storage.objectAdmin' for that bucket.
B. Create a service account and add it to the IAM role 'storage.objectCreator' for that bucket.
C. Create a service account with an access scope. Use the access scope 'https://www.googleapis.com/auth/cloud-platform'.
D. Create a service account with an access scope. Use the access scope 'https://www.googleapis.com/auth/devstorage.write_only'.

Answer: B

Explanation:
https://cloud.google.com/iam/docs/understanding-service-accounts#using_service_accounts_with_compute_engine
https://cloud.google.com/storage/docs/access-control/iam-roles

NEW QUESTION # 313
You have developed a web application that serves traffic for a local event and are expecting unpredictable traffic. You have containerized the application, and you now want to deploy the application on Google Cloud.
You also want to minimize costs. What should you do?

A. Deploy the web application as a Cloud Run service.
B. Deploy the web application on Google Kubernetes Engine in Autopilot mode.
C. Deploy the web application as a Cloud Run job.
D. Deploy the web application on Google Kubernetes Engine In Standard mode.

Answer: A

Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
The key requirements are a containerized web application that handles unpredictable traffic and must minimize costs.
Cloud Run is the ideal solution because it is a fully managed, serverless platform for containers that automatically scales to zero instances when there is no traffic. This directly fulfills the cost requirement by eliminating charges for idle resources. It excels at handling unpredictable, bursty traffic.
GKE Standard and Autopilot (Options B and D) incur costs for the cluster or nodes even when not serving traffic (unless carefully scaled down), making them less cost-efficient than Cloud Run's native scale-to-zero for unpredictable, non-constant workloads.
Reference: Google Cloud Documentation - Cloud Run (Overview):
"Cloud Run is a managed compute platform that enables you to run containers that are invocable via HTTP requests... Because Cloud Run is serverless, it abstracts away all infrastructure management. It scales up or down automatically, including scaling to zero to minimize your cost."

NEW QUESTION # 314
Your company has multiple projects linked to a single billing account in Google Cloud. You need to visualize the costs with specific metrics that should be dynamically calculated based on company-specific criteria. You want to automate the process. What should you do?

A. In the Google Cloud console, visualize the costs related to the projects in the Cost breakdown section.
B. In the Google Cloud console, use the export functionality of the Cost table. Create a Looker Studio dashboard on top of the CSV export.
C. Configure Cloud Billing data export to BigQuery for the billing account. Create a Looker Studio dashboard on top of the BigQuery export.
D. In the Google Cloud console, visualize the costs related to the projects in the Reports section.

Answer: C

Explanation:
Cloud Billing export to BigQuery enables you to export detailed Google Cloud billing data (such as usage, cost estimates, and pricing data) automatically throughout the day to a BigQuery dataset that you specify. Then you can access your Cloud Billing data from BigQuery for detailed analysis, or use a tool like Looker Studio to visualize your data.
https://cloud.google.com/billing/docs/how-to/export-data-bigquery

NEW QUESTION # 315
You have several hundred microservice applications running in a Google Kubernetes Engine (GKE) cluster.
Each microservice is a deployment with resource limits configured for each container in the deployment. You
' ve observed that the resource limits for memory and CPU are not appropriately set for many of the microservices. You want to ensure that each microservice has right sized limits for memory and CPU. What should you do?

A. Configure a Vertical Pod Autoscaler for each microservice.
B. Modify the cluster ' s node pool machine type and choose a machine type with more memory and CPU.
C. Configure a Horizontal Pod Autoscaler for each microservice.
D. Configure GKE cluster autoscaling.

Answer: D

NEW QUESTION # 316
......

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