Exam Associate-Cloud-Engineer Introduction | Associate-Cloud-Engineer Test Dumps Demo
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Google Associate-Cloud-Engineer (Google Associate Cloud Engineer) Exam is a certification exam designed for individuals who have basic knowledge and experience with Google Cloud Platform (GCP) products and services. Associate-Cloud-Engineer exam focuses on testing the candidate's ability to deploy applications, monitor operations, and manage enterprise solutions on GCP. Since the exam is designed for entry-level candidates, it is a great starting point for those who are looking to establish their careers as cloud engineers.
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Google Associate-Cloud-Engineer (Google Associate Cloud Engineer) Certification Exam is designed for individuals who want to demonstrate their understanding of Google Cloud Platform (GCP) and their ability to deploy, manage, and operate applications on GCP. Google Associate Cloud Engineer Exam certification is ideal for IT professionals who are responsible for managing and deploying applications on cloud platforms. Associate-Cloud-Engineer Exam Tests your knowledge of GCP services, networking, security, and application deployment.
Google Associate Cloud Engineer Exam Sample Questions (Q230-Q235):
NEW QUESTION # 230
You've found that your Linux server keeps running low on memory. It's currently using 8 Gigs of memory, and you want to increase it to 16. What is the simplest way to do that?
- A. Stop the instance and change the machine type.
- B. Create a new instance with the correct amount of memory.
- C. Use the Linux memincr command to increase the memory.
- D. Use the gcloud compute add-memory command to increase the memory.
Answer: A,C
NEW QUESTION # 231
Your organization has decided to deploy all its compute workloads to Kubernetes on Google Cloud and two other cloud providers. You want to build an infrastructure-as-code solution to automate the provisioning process for all cloud resources. What should you do?
- A. Build the solution by using Terraform, and provision the resources.
- B. Build the solution by using Config Connector, and provision the resources.
- C. Build the solution by using Python and the cloud SDKs from all providers to provision the resources.
- D. Build the solution by using YAML manifests, and provision the resources.
Answer: A
Explanation:
The requirement is for an infrastructure-as-code (IaC) solution that can manage Kubernetes resources and other cloud resources across multiple cloud providers (Google Cloud and two others).
Option A (YAML manifests): YAML manifests are primarily used for defining Kubernetes objects, not for provisioning general cloud resources (like VPCs, IAM policies, databases) across different cloud providers.
Option C (Python + SDKs): While possible, writing custom scripts using each provider's SDK requires significant development effort to handle state management, dependencies, and provider differences. It essentially reinvents much of what dedicated IaC tools provide and is not a standard IaC approach.
Option D (Config Connector): Config Connector allows managing Google Cloud resources using Kubernetes- style manifests and APIs. It is specific to Google Cloud and cannot manage resources in other cloud providers.
Option B (Terraform): Terraform is an open-source IaC tool explicitly designed for building, changing, and versioning infrastructure safely and efficiently across multiple cloud providers and on-premises data centers.
It uses providers for different platforms (GCP, AWS, Azure, Kubernetes, etc.), allowing a unified workflow to manage diverse resources across the required environments (Google Cloud, other clouds, Kubernetes).
Terraform is the standard tool for multi-cloud IaC automation as described in the scenario.
References:
Terraform on Google Cloud: "Terraform is an open source infrastructure as code (IaC) tool... Terraform lets you manage Google Cloud resources with declarative configuration files..." - https://cloud.google.com/docs
/terraform
Terraform Providers (General): Terraform supports numerous providers for various cloud platforms and services. - https://registry.terraform.io/browse/providers Config Connector Overview: "Config Connector is a Kubernetes addon that allows you to manage Google Cloud resources through Kubernetes." (Google Cloud specific) - https://cloud.google.com/config-connector
/docs/overview
NEW QUESTION # 232
You are performing a monthly security check of your Google Cloud environment and want to know who has access to view data stored in your Google Cloud Project. What should you?
- A. Create a Data Loss Prevention job.
- B. Review the Identity-Aware Proxy settings for each resource.
- C. Enable Audit Logs for all APIs that are related to data storage.
- D. Review the IAM permissions for any role that allows for data access.
Answer: D
Explanation:
Only use audit logs to look at history (PAST)
If you need current, up-to-date, info regarding permissions always go to IAM.
NEW QUESTION # 233
You create a new Google Kubernetes Engine (GKE) cluster and want to make sure that it always runs a supported and stable version of Kubernetes. What should you do?
- A. Select "Container-Optimized OS (cos)" as a node image for your GKE cluster.
- B. Enable the Node Auto-Upgrades feature for your GKE cluster.
- C. Select the latest available cluster version for your GKE cluster.
- D. Enable the Node Auto-Repair feature for your GKE cluster.
Answer: B
Explanation:
https://cloud.google.com/kubernetes-engine/versioning-and-upgrades
NEW QUESTION # 234
You are hosting an application on bare-metal servers in your own data center. The application needs access to Cloud Storage. However, security policies prevent the servers hosting the application from having public IP addresses or access to the internet. You want to follow Google-recommended practices to provide the application with access to Cloud Storage. What should you do?
- A. 1. Using Cloud VPN or Interconnect, create a tunnel to a VPC in GCP.2. Use Cloud Router to create a custom route advertisement for 199.36.153.4/30. Announce that network to your on-premises network through the VPN tunnel.3. In your on-premises network, configure your DNS server to resolve *.googleapis.com as a CNAME to restricted.googleapis.com.
- B. 1. Use Migrate for Compute Engine (formerly known as Velostrata) to migrate those servers to Compute Engine.2. Create an internal load balancer (ILB) that uses storage.googleapis.com as backend.3. Configure your new instances to use this ILB as proxy.
- C. 1. Using Cloud VPN, create a VPN tunnel to a Virtual Private Cloud (VPC) in Google Cloud Platform (GCP).2. In this VPC, create a Compute Engine instance and install the Squid proxy server on this instance.3. Configure your servers to use that instance as a proxy to access Cloud Storage.
- D. 1. Use nslookup to get the IP address for storage.googleapis.com.2. Negotiate with the security team to be able to give a public IP address to the servers.3. Only allow egress traffic from those servers to the IP addresses for storage.googleapis.com.
Answer: B
NEW QUESTION # 235
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