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Google Associate-Cloud-Engineer Certification Exam is an entry-level certification exam that tests an individual's ability to deploy, monitor, and manage Google Cloud Platform (GCP) projects. Google Associate Cloud Engineer Exam certification exam is designed for individuals who are looking to start a career in cloud engineering and want to demonstrate their foundational knowledge of GCP. Google Associate Cloud Engineer Exam certification exam covers a variety of topics related to GCP, including cloud services, compute, networking, storage, security, and management.

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The Google Associate-Cloud-Engineer Exam consists of multiple-choice and multiple-select questions, and candidates have two hours to complete the exam. Associate-Cloud-Engineer exam tests the candidate's knowledge of Google Cloud Platform services such as Compute Engine, App Engine, Cloud Storage, Cloud SQL, Cloud Datastore, Cloud Spanner, Cloud Pub/Sub, and Cloud Functions.

Google Associate Cloud Engineer Exam Sample Questions (Q188-Q193):

NEW QUESTION # 188
Every employee of your company has a Google account. Your operational team needs to manage a large number of instances on Compute Engine. Each member of this team needs only administrative access to the servers. Your security team wants to ensure that the deployment of credentials is operationally efficient and must be able to determine who accessed a given instance. What should you do?

A. Ask each member of the team to generate a new SSH key pair and to send you their public key. Use a configuration management tool to deploy those keys on each instance.
B. Ask each member of the team to generate a new SSH key pair and to add the public key to their Google account. Grant the "compute.osAdminLogin" role to the Google group corresponding to this team.
C. Generate a new SSH key pair. Give the private key to each member of your team. Configure the public key in the metadata of each instance.
D. Generate a new SSH key pair. Give the private key to each member of your team. Configure the public key as a project-wide public SSH key in your Cloud Platform project and allow project-wide public SSH keys on each instance.

Answer: B

Explanation:
Explanation
https://cloud.google.com/compute/docs/instances/managing-instance-access

NEW QUESTION # 189
During a recent audit of your existing Google Cloud resources, you discovered several users with email addresses outside of your Google Workspace domain.
You want to ensure that your resources are only shared with users whose email addresses match your domain.
You need to remove any mismatched users, and you want to avoid having to audit your resources to identify mismatched users. What should you do?

A. Create a Cloud Scheduler task to regularly scan your resources and delete mismatched users.
B. Set an organizational policy constraint to limit identities by domain, and then retroactively remove the existing mismatched users.
C. Set an organizational policy constraint to limit identities by domain to automatically remove mismatched users.
D. Create a Cloud Scheduler task to regularly scan your projects and delete mismatched users.

Answer: B

Explanation:
https://cloud.google.com/resource-manager/docs/organization-policy/org-policy-constraints This list constraint defines the set of domains that email addresses added to Essential Contacts can have. By default, email addresses with any domain can be added to Essential Contacts. Theallowed/denied list must specify one or more domains of the form @example.com. If this constraint is active and configured with allowed values, only email addresses with a suffix matching one of the entries from the list of allowed domains can be added in Essential Contacts. This constraint has no effect on updating or removing existing contacts. constraints
/essentialcontacts.allowedContactDomains

NEW QUESTION # 190
You need to run an important query in BigQuery but expect it to return a lot of records. You want to find out how much it will cost to run the query. You are using on-demand pricing. What should you do?

A. Use the command line to run a dry run query to estimate the number of bytes read.
Then convert that bytes estimate to dollars using the Pricing Calculator.
B. Arrange to switch to Flat-Rate pricing for this query, then move back to on-demand.
C. Use the command line to run a dry run query to estimate the number of bytes returned.
Then convert that bytes estimate to dollars using the Pricing Calculator.
D. Run a select count (*) to get an idea of how many records your query will look through.
Then convert that number of rows to dollars using the Pricing Calculator.

Answer: A

Explanation:
On-demand pricing
Under on-demand pricing, BigQuery charges for queries by using one metric: the number of bytes processed (also referred to as bytes read). You are charged for the number of bytes processed whether the data is stored in BigQuery or in an external data source such as Cloud Storage, Drive, or Cloud Bigtable. On-demand pricing is based solely on usage.
https://cloud.google.com/bigquery/pricing#on_demand_pricing

NEW QUESTION # 191
You are developing a financial trading application that will be used globally. Data is stored and queried using a relational structure, and clients from all over the world should get the exact identical state of the data. The application will be deployed in multiple regions to provide the lowest latency to end users. You need to select a storage option for the application data while minimizing latency. What should you do?

A. Use Cloud SQL for data storage.
B. Use Firestore for data storage.
C. Use Cloud Bigtable for data storage.
D. Use Cloud Spanner for data storage.

Answer: D

Explanation:
Cloud Spanner, keywords are globally, relational structure and lastly "clients from all over the world should get the exact identical state of the data" which implies strong consistency is needed.

NEW QUESTION # 192
You have an application running in Google Kubernetes Engine (GKE) with cluster autoscaling enabled. The application exposes a TCP endpoint. There are several replicas of this application. You have a Compute Engine instance in the same region, but in another Virtual Private Cloud (VPC), called gce-network, that has no overlapping IP ranges with the first VPC. This instance needs to connect to the application on GKE. You want to minimize effort. What should you do?

A. 1. In GKE, create a Serviceof type LoadBalancerthat uses the application's Pods as backend.
2. Add a Cloud Armor Security Policy to the load balancer that whitelists the internal IPs of the MIG's instances.
3. Configure the Compute Engine instance to use the address of the load balancer that has been created.
B. 1. In GKE, create a Serviceof type LoadBalancerthat uses the application's Pods as backend.
2. Add an annotation to this service: cloud.google.com/load-balancer-type: Internal
3. Peer the two VPCs together.
4. Configure the Compute Engine instance to use the address of the load balancer that has been created.
C. 1. In GKE, create a Service of type NodePortthat uses the application's Pods as backend.
2. Create a Compute Engine instance called proxy with 2 network interfaces, one in each VPC.
3. Use iptables on this instance to forward traffic from gce-network to the GKE nodes.
4. Configure the Compute Engine instance to use the address of proxyin gce-networkas endpoint.
D. 1. In GKE, create a Serviceof type LoadBalancer that uses the application's Pods as backend.
2. Set the service's externalTrafficPolicyto Cluster.
3. Configure the Compute Engine instance to use the address of the load balancer that has been created.

Answer: D

NEW QUESTION # 193
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