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Google Associate Cloud Engineer Exam Sample Questions (Q35-Q40):

NEW QUESTION # 35
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. 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.
B. 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.
C. 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.
D. 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.

Answer: B

Explanation:
https://cloud.google.com/logging/docs/export/configure_export_v2

NEW QUESTION # 36
You are building a product on top of Google Kubernetes Engine (GKE). You have a single GKE cluster. For each of your customers, a Pod is running in that cluster, and your customers can run arbitrary code inside their Pod. You want to maximize the isolation between your customers' Pods. What should you do?

A. Use Binary Authorization and whitelist only the container images used by your customers' Pods.
B. Use the Container Analysis API to detect vulnerabilities in the containers used by your customers' Pods.
C. Create a GKE node pool with a sandbox type configured to gvisor. Add the parameter runtimeClassName: gvisor to the specification of your customers' Pods.
D. Use the cos_containerdimage for your GKE nodes. Add a nodeSelector with the value cloud.google.com/gke-os-distribution: cos_containerdto the specification of your customers' Pods.

Answer: C

Explanation:
You can enable GKE Sandbox on your cluster to isolate untrusted workloads in sandboxes on the node. GKE Sandbox is built using gVisor, an open source project.
https://cloud.google.com/kubernetes-engine/docs/concepts/security-
overview?hl=en#protecting_nodes_from_untrusted_workloads

NEW QUESTION # 37
You host a static website on Cloud Storage. Recently, you began to include links to PDF files on this site. Currently, when users click on the links to these PDF files, their browsers prompt them to save the file onto their local system. Instead, you want the clicked PDF files to be displayed within the browser window directly, without prompting the user to save the file locally. What should you do?

A. Enable Cloud CDN on the website frontend.
B. Add a label to the storage bucket with a key of Content-Type and value of application/pdf.
C. Set Content-Type metadata to application/pdf on the PDF file objects.
D. Enable `Share publicly' on the PDF file objects.

Answer: C

NEW QUESTION # 38
You have been asked to migrate a docker application from datacenter to cloud. Your solution architect has suggested uploading docker images to GCR in one project and running an application in a GKE cluster in a separate project. You want to store images in the project img-278322 and run the application in the project prod-278986. You want to tag the image as acme_track_n_trace:v1. You want to follow Google-recommended practices. What should you do?

A. Run gcloud builds submit --tag gcr.io/prod-278986/acme_track_n_trace
B. Run gcloud builds submit --tag gcr.io/prod-278986/acme_track_n_trace:v1
C. Run gcloud builds submit --tag gcr.io/img-278322/acme_track_n_trace
D. Run gcloud builds submit --tag gcr.io/img-278322/acme_track_n_trace:v1

Answer: D

Explanation:
Run gcloud builds submit tag gcr.io/img-278322/acme_track_n_trace:v1. is the right answer.
This command correctly tags the image as acme_track_n_trace:v1 and uploads the image to the img-278322 project.
Ref: https://cloud.google.com/sdk/gcloud/reference/builds/submit

NEW QUESTION # 39
You are deploying an application to App Engine. You want the number of instances to scale based on request rate. You need at least 3 unoccupied instances at all times. Which scaling type should you use?

A. Basic Scaling with min_instances set to 3.
B. Manual Scaling with 3 instances.
C. Basic Scaling with max_instances set to 3.
D. Automatic Scaling with min_idle_instances set to 3.

Answer: D

Explanation:
App Engine calculates the number of instances necessary to serve your current application traffic based on scaling settings such as target_cpu_utilization and target_throughput_utilization. Setting min_idle_instances specifies the number of instances to run in addition to this calculated number.
For example, if App Engine calculates that 5 instances are necessary to serve traffic, and min_idle_instances is set to 2, App Engine will run 7 instances (5, calculated based on traffic, plus 2 additional per min_idle_instances).
https://cloud.google.com/appengine/docs/standard/go/config/appref

NEW QUESTION # 40
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