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Google Associate Cloud Engineer certification is a highly respected and in-demand certification offered by Google Cloud. It is designed for individuals who want to demonstrate their expertise in deploying applications, monitoring operations, and managing enterprise solutions on the Google Cloud Platform. Google Associate Cloud Engineer Exam certification is ideal for IT professionals, developers, and engineers who want to advance their careers and become Google Cloud experts.

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In order to apply for the Associate Cloud Engineer, You have to follow these steps

Go to the Associate Cloud Engineer Official Site
Read the instruction Carefully
Follow the given steps
Apply for the Associate Cloud Engineer

Google Associate-Cloud-Engineer Certification is an excellent opportunity for individuals who are looking to establish themselves as experts in the Google Cloud platform. With the right preparation and dedication, candidates can demonstrate their knowledge and expertise in using this platform to create innovative solutions for their clients.

Google Associate Cloud Engineer Exam Sample Questions (Q269-Q274):

NEW QUESTION # 269
Your company has a Google Cloud Platform project that uses BigQuery for data warehousing.
Your data science team changes frequently and has few members. You need to allow members of this team to perform queries.
You want to follow Google-recommended practices. What should you do?

A. 1. Create an IAM entry for each data scientist's user account.
2. Assign the BigQuery dataViewer user role to the group.
B. 1. Create an IAM entry for each data scientist's user account.
2. Assign the BigQuery jobUser role to the group.
C. 1. Create a dedicated Google group in Cloud Identity.
2. Add each data scientist's user account to the group.
3. Assign the BigQuery jobUser role to the group.
D. 1. Create a dedicated Google group in Cloud Identity.
2. Add each data scientist's user account to the group.
3. Assign the BigQuery dataViewer user role to the group.

Answer: C

Explanation:
Provides permissions to run jobs, including queries, within the project. This role can check the existence of all jobs, enumerate their own jobs, and cancel their own jobs.
https://cloud.google.com/bigquery/docs/access-control

NEW QUESTION # 270
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:
Explanation/Reference: https://cloud.google.com/compute/docs/access

NEW QUESTION # 271
You are planning to migrate your on-premises VMs to Google Cloud. You need to set up a landing zone in Google Cloud before migrating the VMs. You must ensure that all VMs in your production environment can communicate with each other through private IP addresses. You need to allow all VMs in your Google Cloud organization to accept connections on specific TCP ports. You want to follow Google-recommended practices, and you need to minimize your operational costs. What should you do?

A. Create individual VPCs for each Google Cloud project. Peer all the VPCs together. Apply hierarchical firewall policies on the organization level.
B. Create a host VPC project with each production project as its service project. Apply hierarchical firewall policies on the organization level.
C. Create individual VPCs per Google Cloud project. Peer all the VPCs together. Apply organization policies on the organization level.
D. Create a host VPC project with each production project as its service project. Apply organization policies on the organization level.

Answer: B

Explanation:
Shared VPC (host and service projects) is the Google-recommended practice for enabling centralized network management while allowing production workloads to run in separate projects.
It enables VMs to communicate via private IPs across projects. Hierarchical firewall policies allow you to define and enforce organization-wide security rules (like allowing specific TCP ports) at the organization or folder level, minimizing repetitive configuration and improving security posture.
This architecture is cost-effective and supports scalable, secure, and centralized operations.

NEW QUESTION # 272
You have a number of compute instances belonging to an unmanaged instances group. You need to SSH to one of the Compute Engine instances to run an ad hoc script. You've already authenticated gcloud, however, you don't have an SSH key deployed yet. In the fewest steps possible, what's the easiest way to SSH to the instance?

A. Run gcloud compute instances list to get the IP address of the instance, then use the ssh command.
B. Use the gcloud compute ssh command.
C. Create a key with the ssh-keygen command. Then use the gcloud compute ssh command.
D. Create a key with the ssh-keygen command. Upload the key to the instance. Run gcloud compute instances list to get the IP address of the instance, then use the ssh command.

Answer: B

Explanation:
gcloud compute ssh ensures that the user's public SSH key is present in the project's metadata. If the user does not have a public SSH key, one is generated using ssh-keygen and added to the project's metadata. This is similar to the other option where we copy the key explicitly to the project's metadata but here it is done automatically for us. There are also security benefits with this approach. When we use gcloud compute ssh to connect to Linux instances, we are adding a layer of security by storing your host keys as guest attributes.
Storing SSH host keys as guest attributes improve the security of your connections by helping to protect against vulnerabilities such as man-in-the-middle (MITM) attacks. On the initial boot of a VM instance, if guest attributes are enabled, Compute Engine stores your generated host keys as guest attributes.
Compute Engine then uses these host keys that were stored during the initial boot to verify all subsequent connections to the VM instance.
Ref: https://cloud.google.com/compute/docs/instances/connecting-to-instanceRef: https://cloud.google.com
/sdk/gcloud/reference/compute/ssh

NEW QUESTION # 273
You are about to deploy a new Enterprise Resource Planning (ERP) system on Google Cloud. The application holds the full database in-memory for fast data access, and you need to configure the most appropriate resources on Google Cloud for this application. What should you do?

A. Provision preemptible Compute Engine instances.
B. Provision Compute Engine instances with GPUs attached.
C. Provision Compute Engine instances with M1 machine type.
D. Provision Compute Engine instances with local SSDs attached.

Answer: C

Explanation:
M1 machine series Medium in-memory databases such as SAP HANA Tasks that require intensive use of memory with higher memory-to-vCPU ratios than the general-purpose high-memory machine types. In-memory databases and in-memory analytics, business warehousing (BW) workloads, genomics analysis, SQL analysis services. Microsoft SQL Server and similar databases.
https://cloud.google.com/compute/docs/machine-types
https://cloud.google.com/compute/docs/machine-types#:~:text=databases%20such%20as-,SAP%20HANA,-In%2Dmemory%20databases
https://www.sap.com/india/products/hana.html#:~:text=is%20SAP%20HANA-,in%2Dmemory,-database%3F

NEW QUESTION # 274
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