Free Access Google.Associate-Cloud-Engineer.v2025-08-21.q142 Practice Test (Page 26)

Question 121

For analysis purposes, you need to send all the logs from all of your Compute Engine instances to a BigQuery dataset called platform-logs. You have already installed the Stackdriver Logging agent on all the instances. You want to minimize cost. What should you do?

A.1. In Stackdriver Logging, create a logs export with a Cloud Pub/Sub topic called logsas a sink.
2. Create a Cloud Function that is triggered by messages in the logstopic.
3. Configure that Cloud Function to drop logs that are not from Compute Engine and to insert Compute Engine logs in the platform-logsdataset.

B.1. Give the BigQuery Data Editor role on the platform-logsdataset to the service accounts used by your instances.
2. Update your instances' metadata to add the following value: logs-destination:
bq://platform-logs.

C.1. In Stackdriver Logging, create a filter to view only Compute Engine logs.
2. Click Create Export.
3. Choose BigQuery as Sink Service, and the platform-logsdataset as Sink Destination.

D.1. Create a Cloud Function that has the BigQuery User role on the platform-logsdataset.
2. Configure this Cloud Function to create a BigQuery Job that executes this query:
INSERT INTO dataset.platform-logs (timestamp, log)
SELECT timestamp, log FROM compute.logs
WHERE timestamp > DATE_SUB(CURRENT_DATE(), INTERVAL 1 DAY)
3. Use Cloud Scheduler to trigger this Cloud Function once a day.

Question 122

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.Review details of the myapp-service Service object and check for error messages.

B.Review details of the myapp-deployment Deployment object and check for error messages.

C.Review details of myapp-deployment-58ddbbb995-lp86m Pod and check for warning messages.

D.View logs of the container in myapp-deployment-58ddbbb995-lp86m pod and check for warning messages.

Question 123

(You are developing an internet of things (IoT) application that captures sensor data from multiple devices that have already been set up. You need to identify the global data storage product your company should use to store this data. You must ensure that the storage solution you choose meets your requirements of sub- millisecond latency. What should you do?)

A.Store the IoT data in Spanner. Use caches to speed up the process and avoid latencies.

B.Store the IoT data in Bigtable.

C.Capture IoT data in BigQuery datasets.

D.Store the IoT data in Cloud Storage. Implement caching by using Cloud CDN.

Correct Answer: B

Let's evaluate each option based on the requirement of sub-millisecond latency for globally stored IoT data:
A: Spanner with Caching: While Spanner offers strong consistency and global scalability, the base latency might not consistently be sub-millisecond for all read/write operations globally. Introducing caching adds complexity and doesn't guarantee sub-millisecond latency for all initial reads or cache misses.
B: Bigtable: Bigtable is a highly scalable NoSQL database service designed for low-latency, high-throughput workloads. It excels at storing and retrieving large volumes of time-series data, which is typical for IoT sensor data. Its architecture is optimized for single-key lookups and scans, providing consistent sub-millisecond latency, making it a strong candidate for this use case.
C: BigQuery: BigQuery is a fully managed, serverless data warehouse designed for analytical queries on large datasets. While it's excellent for analyzing IoT data in batch, it's not optimized for the low-latency, high- throughput ingestion and retrieval required for real-time IoT applications with sub-millisecond latency needs.
D: Cloud Storage with Cloud CDN: Cloud Storage is object storage and is not designed for low-latency transactional workloads. Cloud CDN is a content delivery network that caches content closer to users for faster delivery, but it's not suitable for the primary storage of rapidly incoming IoT sensor data requiring sub- millisecond write latency.
Google Cloud Documentation References:
Cloud Bigtable Overview: https://cloud.google.com/bigtable/docs/overview - This document highlights Bigtable's suitability for low-latency and high-throughput applications, including IoT. It mentions its ability to handle massive amounts of data with consistent performance.
Spanner Overview: https://cloud.google.com/spanner/docs/overview - While Spanner offers low latency, Bigtable is generally preferred for extremely high-throughput, low-latency use cases like raw sensor data ingestion due to its optimized architecture for such workloads.
BigQuery Overview: https://cloud.google.com/bigquery/docs/introduction - This emphasizes BigQuery's analytical capabilities rather than low-latency operational workloads.
Cloud Storage Overview: https://cloud.google.com/storage/docs/overview - This describes Cloud Storage as object storage, not ideal for sub-millisecond latency reads and writes required for real-time IoT data.

Question 124

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.Review details of the myapp-service Service object and check for error messages.

B.Review details of the myapp-deployment Deployment object and check for error messages.

C.Review details of myapp-deployment-58ddbbb995-lp86m Pod and check for warning messages.

D.View logs of the container in myapp-deployment-58ddbbb995-lp86m pod and check for warning messages.

Question 125

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" for web-applications appropriate roles to crm-databases- proj

B.Give "project owner" role to crm-databases-proj and the web-applications project.

C.Give "project owner" role to crm-databases-proj and bigquery.dataViewer role to web- applications.

D.Give bigquery.dataViewer role to crm-databases-proj and appropriate roles to web-applications.

Other Version: 2764Google.Associate-Cloud-Engineer.v2025-07-09.q185; 1866Google.Associate-Cloud-Engineer.v2024-12-02.q208; 2333Google.Associate-Cloud-Engineer.v2023-07-15.q135; 1791Google.Associate-Cloud-Engineer.v2023-04-01.q81; 2089Google.Associate-Cloud-Engineer.v2023-02-27.q85; 1805Google.Associate-Cloud-Engineer.v2023-02-04.q73; 5706Google.Associate-Cloud-Engineer.v2022-07-24.q230; 8225Google.Associate-Cloud-Engineer.v2022-04-13.q194; 81Google.Trainingdump.Associate-Cloud-Engineer.v2021-10-18.by.alvis.136q.pdf

Latest Upload: 200PaloAltoNetworks.NGFW-Engineer.v2026-05-01.q43; 290Nokia.4A0-113.v2026-05-01.q69; 250EC-COUNCIL.312-49v11.v2026-04-30.q214; 226Microsoft.MB-820.v2026-04-30.q101; 205Salesforce.MC-202.v2026-04-30.q57; 203BICSI.INSTC_V8.v2026-04-29.q53; 332NMLS.MLO.v2026-04-28.q82; 241NCARB.Project-Management.v2026-04-28.q27; 454EMC.D-AV-DY-23.v2026-04-27.q184; 1107ServiceNow.CSA.v2026-04-27.q483

Question 121

Question 122

Question 123

Question 124

Question 125

Download PDF File