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Google Associate Cloud Engineer Exam Sample Questions (Q292-Q297):

NEW QUESTION # 292
You have an application on a general-purpose Compute Engine instance that is experiencing excessive disk read throttling on its Zonal SSD Persistent Disk. The application primarily reads large files from disk. The disk size is currently 350 GB. You want to provide the maximum amount of throughput while minimizing costs.
What should you do?

A. Increase the allocated CPU to the instance.
B. Increase the size of the disk to 1 TB.
C. Migrate to use a Local SSD on the instance.
D. Migrate to use a Regional SSD on the instance.

Answer: C

Explanation:
Standard persistent disks are efficient and economical for handling sequential read/write operations, but they aren't optimized to handle high rates of random input/output operations per second (IOPS). If your apps require high rates of random IOPS, use SSD persistent disks. SSD persistent disks are designed for single-digit millisecond latencies. Observed latency is application specific.

NEW QUESTION # 293
You are using Container Registry to centrally store your company's container images in a separate project. In another project, you want to create a Google Kubernetes Engine (GKE) cluster. You want to ensure that Kubernetes can download images from Container Registry. What should you do?

A. Configure the ACLs on each image in Cloud Storage to give read-only access to the default Compute Engine service account.
B. When you create the GKE cluster, choose the Allow full access to all Cloud APIs option under 'Access scopes'.
C. In the project where the images are stored, grant the Storage Object Viewer IAM role to the service account used by the Kubernetes nodes.
D. Create a service account, and give it access to Cloud Storage. Create a P12 key for this service account and use it as an imagePullSecrets in Kubernetes.

Answer: C

Explanation:
Explanation
Configure the ACLs on each image in Cloud Storage to give read-only access to the default Compute Engine service account. is not right.As mentioned above, Container Registry ignores permissions set on individual objects within the storage bucket so this isnt going to work.
Ref: https://cloud.google.com/container-registry/docs/access-control

NEW QUESTION # 294
You have production and test workloads that you want to deploy on Compute Engine. Production VMs need to be in a different subnet than the test VMs. All the VMs must be able to reach each other over internal IP without creating additional routes. You need to set up VPC and the 2 subnets. Which configuration meets these requirements?

A. Create a single custom VPC with 2 subnets. Create each subnet in a different region and with a different CIDR range.
B. Create a single custom VPC with 2 subnets. Create each subnet in the same region and with the same CIDR range.
C. Create 2 custom VPCs, each with a single subnet. Create each subnet is a different region and with a different CIDR range.
D. Create 2 custom VPCs, each with a single subnet. Create each subnet in the same region and with the same CIDR range.

Answer: A

Explanation:
Explanation/Reference:

NEW QUESTION # 295
(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 project.
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 dataset.

Answer: C

Explanation:
Comprehensive and Detailed In Depth Explanation:
The core requirements are secure access to a specific BigQuery dataset from a Compute Engine instance, using short-lived credentials, adhering to Google's best practices, and minimizing operational overhead.
A: Project-level IAM role: Granting the BigQuery Data Viewer role at the project level gives the service account broad access to all BigQuery datasets within that project. This violates the principle of least privilege, a fundamental security best practice, as the application should only have access to the designated dataset.
B: Hourly new service account with dataset-level role: While this aims to achieve short-lived credentials, the operational burden of creating, attaching, and managing IAM policies for a new service account every hour is significant and not a Google-recommended practice for routine access. It introduces unnecessary complexity and potential for errors.
C: Custom service account with dataset-level IAM role: This is the recommended and most efficient approach. You create a dedicated Google Cloud service account specifically for this application. You then grant this service account the necessary IAM role (e.g., BigQuery Data Viewer, or a more specific custom role) directly on the target BigQuery dataset. When the Compute Engine instance runs as this service account, the Google Cloud client libraries automatically handle the acquisition and rotation of short-lived OAuth 2.0 access tokens from the instance's metadata server. This eliminates the need to manage long-lived credentials (like service account keys) and ensures the application only has access to the intended dataset. This adheres to the principle of least privilege and minimizes operational costs.
D: Hourly new service account with project-level role: This option combines the high operational overhead of frequently creating new service accounts with the security risk of granting overly permissive project-level access. It is not a recommended practice.
Therefore, the most secure, cost-effective, and operationally efficient solution is to create a custom service account, attach it to the Compute Engine instance, and grant it the appropriate BigQuery IAM role specifically on the target dataset. The platform handles the short-lived credentials automatically.
Google Cloud Documentation References:
Creating and enabling service accounts for instances: https://cloud.google.com/compute/docs/access/create- enable-service-accounts-for-instances - Explains how to create and associate service accounts with Compute Engine VMs.
Granting, changing, and revoking access to resources: https://cloud.google.com/iam/docs/granting-changing- revoking-access - Details how to manage IAM policies and grant roles to service accounts on specific resources (like BigQuery datasets).
BigQuery IAM roles: https://cloud.google.com/bigquery/docs/control-access - Provides information on the various IAM roles available for controlling access to BigQuery resources at different levels (project, dataset, table, etc.).
Best practices for using service accounts: https://cloud.google.com/iam/docs/best-practices-for-using-service- accounts - Emphasizes the importance of the principle of least privilege and avoiding the management of long- lived service account keys when possible (relying on the metadata server for short-lived tokens).

NEW QUESTION # 296
Your company has an internal application for managing transactional orders. The application is used exclusively by employees in a single physical location. The application requires strong consistency, fast queries, and ACID guarantees for multi-table transactional updates. The first version of the application is implemented inPostgreSQL, and you want to deploy it to the cloud with minimal code changes. Which database is most appropriate for this application?

A. BigQuery
B. Cloud Spanner
C. Cloud Datastore
D. Cloud SQL

Answer: D

Explanation:
Explanation
https://cloud.google.com/sql/docs/postgres

NEW QUESTION # 297
......

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Pass Guaranteed Quiz 2025 Google Associate-Cloud-Engineer: Google Associate Cloud Engineer Exam First-grade Brain Exam

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Google Associate Cloud Engineer Exam Sample Questions (Q292-Q297):

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