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Google Associate-Cloud-Engineer Exam is an entry-level exam that assesses the candidates' abilities to use GCP services to build secure and scalable cloud solutions. Associate-Cloud-Engineer exam covers a wide range of topics such as cloud architecture, compute and storage, networking, security, and operations. Associate-Cloud-Engineer exam also focuses on real-world scenarios that test the candidates' problem-solving skills.

Configuring Security & Access

Manage Service Account: the candidates should know how to manage service accounts with restricted privileges; grant access to service accounts within another project; assign service accounts to virtual machine instances;
View audit logs or managed services and projects.
Manage IAM: this domain involves your ability to view IAM role allocations; assign IAM roles to Google Groups or accounts; define custom IAM duties;

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Target audience and other prerequisites

This certification is intended for the Cloud Engineers who know how to plan and configure Cloud solutions, install Cloud solution environments, implement and deploy Cloud solutions, configure security and access, ensure the successful operation of Cloud solutions.

There are no official requirements for this certificate and its qualifying test. However, before taking the certification exam, it is recommended that you possess at least six months of practical experience with Google Cloud solutions and products.

Google Associate Cloud Engineer Exam Sample Questions (Q334-Q339):

NEW QUESTION # 334
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. Review the IAM permissions for any role that allows for data access.
D. Enable Audit Logs for all APIs that are related to data storage.

Answer: C

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 # 335
You have deployed an application on a Compute Engine instance. An external consultant needs to access the Linux-based instance. The consultant is connected to your corporate network through a VPN connection, but the consultant has no Google account. What should you do?

A. Instruct the external consultant to use the gcloud compute ssh command line tool by using Identity- Aware Proxy to access the instance.
B. Instruct the external consultant to use the gcloud compute ssh command line tool by using the public IP address of the instance to access it.
C. Instruct the external consultant to generate an SSH key pair, and request the public key from the consultant.
Add the public key to the instance yourself, and have the consultant access the instance through SSH with their private key.
D. Instruct the external consultant to generate an SSH key pair, and request the private key from the consultant.Add the private key to the instance yourself, and have the consultant access the instance through SSH with their public key.

Answer: C

Explanation:
The best option is to instruct the external consultant to generate an SSH key pair, and request the public key from the consultant. Then, add the public key to the instance yourself, and have the consultant access the instance through SSH with their private key. This way, you can grant the consultant access to the instance without requiring a Google account or exposing the instance's public IP address. This option also follows the best practice of using user-managed SSH keys instead of service account keys for SSH access1.
Option A is not feasible because the external consultant does not have a Google account, and therefore cannot use Identity-Aware Proxy (IAP) to access the instance. IAP requires the user to authenticate with a Google account and have the appropriate IAM permissions to access the instance2. Option B is not secure because it exposes the instance's public IP address, which can increase the risk of unauthorized access or attacks. Option D is not correct because it reverses the roles of the public and private keys. The public key should be added to the instance, and the private key should be kept by the consultant. Sharing the private key with anyone else can compromise the security of the SSH connection3.

NEW QUESTION # 336
(You manage a VPC network in Google Cloud with a subnet that is rapidly approaching its private IP address capacity. You expect the number of Compute Engine VM instances in the same region to double within a week. You need to implement a Google-recommended solution that minimizes operational costs and does not require downtime. What should you do?)

A. Delete the existing subnet, and create a new subnet with double the IP range available.
B. Create a second VPC with the same subnet IP range, and connect this VPC to the existing VPC by using VPC Network Peering.
C. Permit additional traffic from the expected range of private IP addresses to reach your VMs by configuring firewall rules.
D. Use the Google Cloud CLI tool to expand the primary IP range of your subnet.

Answer: D

Explanation:
Comprehensive and Detailed In Depth Explanation:
The problem states that a subnet is nearing its IP address capacity, and the requirement is to expand it without downtime and with minimal operational cost, following Google-recommended practices.
A: Creating a second VPC with the same subnet IP range and peering: While VPC Network Peering allows communication between VPCs, having overlapping IP ranges is generally not recommended and can lead to routing complexities if not managed carefully. It also adds operational overhead of managing two VPCs. This is not the most straightforward or cost-effective solution for simply expanding IP capacity within the same logical network.
B: Deleting and recreating the subnet: Deleting a subnet that contains active VM instances will cause downtime for those instances, violating a key requirement.
C: Using the Google Cloud CLI tool to expand the primary IP range of your subnet: Google Cloud allows you to expand the primary IP range of an existing subnet after it's created, as long as there are no conflicting subnets in the VPC. This operation does not require deleting the subnet or restarting the existing VMs within it, thus avoiding downtime. It's a direct and cost-effective way to increase the available IP address space within the existing subnet. This is a Google-recommended practice for handling subnet capacity issues.
D: Permitting additional traffic with firewall rules: Firewall rules control network traffic based on IP ranges, protocols, and ports. They do not increase the number of available private IP addresses within the subnet. This option does not address the core issue of IP address exhaustion.
Therefore, expanding the primary IP range of the existing subnet using the Google Cloud CLI is the recommended solution that meets all the requirements: addressing IP capacity, minimizing operational costs, and avoiding downtime.
Google Cloud Documentation References:
Expanding Subnet IP Ranges: https://cloud.google.com/vpc/docs/expand-subnet - This documentation explicitly describes how to expand the IP range of an existing subnet without downtime. It outlines the prerequisites and steps involved using the gcloud CLI or the Google Cloud Console.
VPC Network Overview: https://cloud.google.com/vpc/docs/vpc - Provides context on subnet IP ranges and their management.

NEW QUESTION # 337
You are building a pipeline to process time-series data. Which Google Cloud Platform services should you put in boxes 1,2,3, and 4?

A. Cloud Pub/Sub, Cloud Dataflow, Cloud Datastore, BigQuery
B. Firebase Messages, Cloud Pub/Sub, Cloud Spanner, BigQuery
C. Cloud Pub/Sub, Cloud Storage, BigQuery, Cloud Bigtable
D. Cloud Pub/Sub, Cloud Dataflow, Cloud Bigtable, BigQuery

Answer: D

Explanation:
Reference:
https://cloud.google.com/blog/products/data-analytics/handling-duplicate-data-in-streaming-pipeline-using-pubsub-dataflow
https://cloud.google.com/bigtable/docs/schema-design-time-series

NEW QUESTION # 338
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. 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.
C. 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.
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: A

NEW QUESTION # 339
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