[2024-Feb-New]Braindump2go Professional-Cloud-Developer PDF Dumps(102-268)
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A. Deploy Zonal clusters<br />
B. Deploy Regional clusters<br />
C. Deploy Multi-Zone clusters<br />
D. Deploy GKE on-premises clusters<br />
Answer: B<br />
Explanation:<br />
https://cloud.google.com/kubernetes-engine/docs/concepts/types-of-clusters#regional_clusters<br />
A regional cluster has multiple replicas of the control plane, running in multiple zones within a given region. Nodes in a<br />
regional cluster can run in multiple zones or a single zone depending on the configured node locations. By default, GKE<br />
replicates each node pool across three zones of the control plane's region. When you create a cluster or when you add<br />
a new node pool, you can change the default configuration by specifying the zone(s) in which the cluster's nodes run.<br />
All zones must be within the same region as the control plane.<br />
QUESTION 174<br />
Your team develops services that run on Google <strong>Cloud</strong>. You want to process messages sent to a Pub/Sub topic, and<br />
then store them. Each message must be processed exactly once to avoid duplication of data and any data conflicts.<br />
You need to use the cheapest and most simple solution. What should you do?<br />
A. Process the messages with a Dataproc job, and write the output to storage.<br />
B. Process the messages with a Dataflow streaming pipeline using Apache Beam's PubSubIO<br />
package, and write the output to storage.<br />
C. Process the messages with a <strong>Cloud</strong> Function, and write the results to a BigQuery location where<br />
you can run a job to deduplicate the data.<br />
D. Retrieve the messages with a Dataflow streaming pipeline, store them in <strong>Cloud</strong> Bigtable, and use<br />
another Dataflow streaming pipeline to deduplicate messages.<br />
Answer: B<br />
Explanation:<br />
https://cloud.google.com/blog/products/data-analytics/handling-duplicate-data-in-streaming-pipeline-using-pubsubdataflow<br />
Pub/Sub provides each message with a unique message_id, Dataflow uses it to deduplicate messages by default if you<br />
use the built-in Apache Beam PubSubIO.<br />
QUESTION 175<br />
You are running a containerized application on Google Kubernetes Engine. Your container images are stored in<br />
Container Registry. Your team uses CI/CD practices. You need to prevent the deployment of containers with known<br />
critical vulnerabilities. What should you do?<br />
A. - Use Web Security Scanner to automatically crawl your application<br />
- Review your application logs for scan results, and provide an attestation that the container is<br />
free of known critical vulnerabilities<br />
- Use Binary Authorization to implement a policy that forces the attestation to be provided before<br />
the container is deployed<br />
B. - Use Web Security Scanner to automatically crawl your application<br />
- Review the scan results in the scan details page in the <strong>Cloud</strong> Console, and provide an<br />
attestation that the container is free of known critical vulnerabilities<br />
- Use Binary Authorization to implement a policy that forces the attestation to be provided before<br />
the container is deployed<br />
C. - Enable the Container Scanning API to perform vulnerability scanning<br />
- Review vulnerability reporting in Container Registry in the <strong>Cloud</strong> Console, and provide an<br />
attestation that the container is free of known critical vulnerabilities<br />
- Use Binary Authorization to implement a policy that forces the attestation to be provided before<br />
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