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Quiz 2025 Fantastic Google Professional-Cloud-Architect: Google Certified Professional - Cloud Architect (GCP) Actual Braindumps

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Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q142-Q147):

NEW QUESTION # 142
Your company has successfully migrated to the cloud and wants to analyze their data stream to optimize operations. They do not have any existing code for this analysis, so they are exploring all their options. These options include a mix of batch and stream processing, as they are running some hourly jobs and live-processing some data as it comes in. Which technology should they use for this?

  • A. Google Container Engine with Bigtable
  • B. Google Compute Engine with Google BigQuery
  • C. Google Cloud Dataflow
  • D. Google Cloud Dataproc

Answer: C

Explanation:
Cloud Dataflow is a fully-managed service for transforming and enriching data in stream (real time) and batch (historical) modes with equal reliability and expressiveness -- no more complex workarounds or compromises needed.
References: https://cloud.google.com/dataflow/
Reference:
Dataflow is for processing both the Batch and Stream.


NEW QUESTION # 143
You want to enable your running Google Container Engine cluster to scale as demand for your application changes.
What should you do?

  • A. Add additional nodes to your Container Engine cluster using the following command:
    gcloud container clusters resize
    CLUSTER_Name - -size 10
  • B. Add a tag to the instances in the cluster with the following command:
    gcloud compute instances add-tags
    INSTANCE - -tags enable-
    autoscaling max-nodes-10
  • C. Update the existing Container Engine cluster with the following command:
    gcloud alpha container clusters
    update mycluster - -enable-
    autoscaling - -min-nodes=1 - -max-nodes=10
  • D. Create a new Container Engine cluster with the following command:
    gcloud alpha container clusters
    create mycluster - -enable-
    autoscaling - -min-nodes=1 - -max-nodes=10
    and redeploy your application

Answer: B

Explanation:
Explanation/Reference:
Explanation:
Cluster autoscaling
--enable-autoscaling
Enables autoscaling for a node pool.
Enables autoscaling in the node pool specified by --node-pool or the default node pool if --node-pool is not provided.
Where:
--max-nodes=MAX_NODES
Maximum number of nodes in the node pool.
Maximum number of nodes to which the node pool specified by --node-pool (or default node pool if unspecified) can scale.
Incorrect Answers:
C, D: Warning: Do not use Alpha Clusters or alpha features for production workloads.
Note: You can experiment with Kubernetes alpha features by creating an alpha cluster. Alpha clusters are short-lived clusters that run stable Kubernetes releases with all Kubernetes APIs and features enabled.
Alpha clusters are designed for advanced users and early adopters to experiment with workloads that take advantage of new features before those features are production-ready. You can use Alpha clusters just like normal Kubernetes Engine clusters.
References: https://cloud.google.com/sdk/gcloud/reference/container/clusters/create


NEW QUESTION # 144
For this question, refer to the JencoMart case study.
JencoMart has decided to migrate user profile storage to Google Cloud Datastore and the application servers to Google Compute Engine (GCE). During the migration, the existing infrastructure will need access to Datastore to upload the data. What service account key-management strategy should you recommend?

  • A. Provision service account keys for the on-premises infrastructure and for the GCE virtual machines (VMs).
  • B. Provision service account keys for the on-premises infrastructure and use Google Cloud Platform (GCP) managed keys for the VMs
  • C. Authenticate the on-premises infrastructure with a user account and provision service account keys for the VMs.
  • D. Deploy a custom authentication service on GCE/Google Container Engine (GKE) for the on-premises infrastructure and use GCP managed keys for the VMs.

Answer: A

Explanation:
Explanation
https://cloud.google.com/iam/docs/understanding-service-accounts
Migrating data to Google Cloud Platform
Let's say that you have some data processing that happens on another cloud provider and you want to transfer the processed data to Google Cloud Platform. You can use a service account from the virtual machines on the external cloud to push the data to Google Cloud Platform. To do this, you must create and download a service account key when you create the service account and then use that key from the external process to call the Cloud Platform APIs.
References:
https://cloud.google.com/iam/docs/understanding-service-accounts#migrating_data_to_google_cloud_platform


NEW QUESTION # 145
Your company wants to start using Google Cloud resources but wants to retain their on-premises Active Directory domain controller for identity management. What should you do?

  • A. Use Google Cloud Directory Sync to synchronize Active Directory usernames with cloud identities and configure SAML SSO.
  • B. Use Cloud Identity-Aware Proxy configured to use the on-premises Active Directory domain controller as an identity provider.
  • C. Use Compute Engine to create an Active Directory (AD) domain controller that is a replica of the on- premises AD domain controller using Google Cloud Directory Sync.
  • D. Use the Admin Directory API to authenticate against the Active Directory domain controller.

Answer: A


NEW QUESTION # 146
You are developing a globally scaled frontend for a legacy streaming backend data API. This API expects events in strict chronological order with no repeat data for proper processing.
Which products should you deploy to ensure guaranteed-once FIFO (first-in, first-out) delivery of data?

  • A. Cloud Pub/Sub to Stackdriver
  • B. Cloud Pub/Sub to Cloud SQL
  • C. Cloud Pub/Sub to Cloud DataFlow
  • D. Cloud Pub/Sub alone

Answer: C

Explanation:
Explanation
Reference https://cloud.google.com/pubsub/docs/ordering


NEW QUESTION # 147
......

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