Google spoto sure Pass Exam Associate-cloud-engineer Pdf by Oakley q22 vce pdf

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Exam Name:	Google Cloud Certified - Associate Cloud Engineer
Exam Code:	Associate-Cloud-Engineer Dumps
Vendor:	Google	Certification:	Google Cloud Certified
Questions:	321 Q&A's	Shared By:	oakley

Question 8

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?

Options:

BigQuery

Cloud SQL

Cloud Spanner

Cloud Datastore

Discussion

Question 9

You are deploying an application to Google Kubernetes Engine (GKE) that needs to call an external third-party API. You need to provide the external API vendor with a list of IP addresses for their firewall to allow traffic from your application. You want to follow Google-recommended practices and avoid any risk of interrupting traffic to the API due to IP address changes. What should you do?

Options:

Configure your GKE cluster with one node, and set the node to have a static external IP address. Ensure that the GKE cluster autoscaler is off. Send the external IP address of the node to the vendor to be added to the allowlist.

Configure your GKE cluster with private nodes. Configure a Cloud NAT instance with static IP addresses. Provide these IP addresses to the vendor to be added to the allowlist.

Configure your GKE cluster with public nodes. Write a Cloud Function that pulls the public IP addresses of each node in the cluster. Trigger the function to run every day with Cloud Scheduler. Send the list to the vendor by email every day.

Configure your GKE cluster with private nodes. Configure a Cloud NAT instance with dynamic IP addresses. Provide these IP addresses to the vendor to be added to the allowlist.

Discussion

Answer:

Explanation:

The requirement is for a stable set of egress IP addresses from a GKE cluster for allowlisting by a third party, following best practices.

Option A is not recommended: Using a single node lacks scalability and high availability. Relying on a single node's static IP creates a single point of failure and doesn't align with GKE's design principles. Disabling autoscaling hinders elasticity.

Option C is complex and unreliable: Public nodes typically have ephemeral external IPs (unless manually configured per node, which is difficult to manage with autoscaling). Dynamically tracking and emailing IPs daily is operationally burdensome and prone to race conditions where the allowlist might lag behind IP changes.

Option D uses Cloud NAT but with dynamic IPs. Dynamic IPs change over time, making them unsuitable for stable firewall allowlists.

Option B is the Google-recommended practice: Configuring the GKE cluster with private nodes enhances security as nodes don't have direct external IPs. Cloud NAT provides managed network address translation for these private nodes to access the internet. By configuring Cloud NAT with a static allocation of external IP addresses, all egress traffic from the private GKE nodes will appear to originate from this stable, predictable set of IPs. This set can be given to the vendor for allowlisting without worrying about node IP changes due to scaling or maintenance.

This approach decouples the application's egress IP from the individual nodes, providing stability and adhering to the principle of least privilege (private nodes).

[References:, , Cloud NAT Overview: "Cloud NAT lets certain resources without external IP addresses create outbound connections to the internet." - https://cloud.google.com/nat/docs/overview, Cloud NAT IP Addresses: "When you configure a NAT gateway... You can configure the NAT gateway to automatically allocate regional external IP addresses... Alternatively, you can manually assign a fixed number of static external IP addresses to the gateway." - https://cloud.google.com/nat/docs/overview#ip-addresses, GKE and Cloud NAT: "Configure Cloud NAT with GKE... Use Case: You want a GKE pod to deterministically egress traffic from a static set of IP addresses that you control." - https://cloud.google.com/nat/docs/gke-example, Private Clusters: "Private nodes do not have endpoint-accessible external IP addresses." - https://cloud.google.com/kubernetes-engine/docs/how-to/private-clusters , , , ]

Question 10

You are working for a hospital that stores Its medical images in an on-premises data room. The hospital wants to use Cloud Storage for archival storage of these images. The hospital wants an automated process to upload any new medical images to Cloud Storage. You need to design and implement a solution. What should you do?

Options:

Deploy a Dataflow job from the batch template "Datastore lo Cloud Storage" Schedule the batch job on the desired interval

In the Cloud Console, go to Cloud Storage Upload the relevant images to the appropriate bucket

Create a script that uses the gsutil command line interface to synchronize the on-premises storage with Cloud Storage Schedule the script as a cron job

Create a Pub/Sub topic, and enable a Cloud Storage trigger for the Pub/Sub topic. Create an application that sends all medical images to the Pub/Sub lope

Discussion

Question 11

You are using Deployment Manager to create a Google Kubernetes Engine cluster. Using the same Deployment Manager deployment, you also want to create a DaemonSet in the kube-system namespace of the cluster. You want a solution that uses the fewest possible services. What should you do?

Options:

Add the cluster’s API as a new Type Provider in Deployment Manager, and use the new type to create the DaemonSet.

Use the Deployment Manager Runtime Configurator to create a new Config resource that contains the DaemonSet definition.

With Deployment Manager, create a Compute Engine instance with a startup script that uses kubectl to create the DaemonSet.

In the cluster’s definition in Deployment Manager, add a metadata that has kube-system as key and the DaemonSet manifest as value.

Discussion

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