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You will need to pass the Google Associate Cloud Engineer Exam (Associate-Cloud-Engineer) exam to achieve the Google Associate Cloud Engineer Exam (Associate-Cloud-Engineer) certification. Due to extremely high competition, passing the Google Associate-Cloud-Engineer exam is not easy; however, possible. You can use Prep4sureGuide products to pass the Associate-Cloud-Engineer Exam on the first attempt. The Google Associate Cloud Engineer Exam (Associate-Cloud-Engineer) practice exam gives you confidence and helps you understand the criteria of the testing authority and pass the Google Associate-Cloud-Engineer exam on the first attempt.
Google Associate Cloud Engineer Certification Exam is a valuable certification that can help individuals boost their career prospects and increase their earning potential. Google Associate Cloud Engineer Exam certification is recognized globally and is highly respected in the cloud computing industry. By obtaining this certification, professionals can demonstrate their ability to design, develop, and manage cloud solutions on the Google Cloud Platform, which can open up numerous job opportunities in various industries. Overall, the Google Associate Cloud Engineer Certification Exam is an excellent choice for professionals who want to enhance their skills and advance their career in cloud computing.
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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.
The last module of the certification exam measures the skills of the learners in managing identity & access management (IAM). Besides that, they should know how to perform the management of service accounts. They also need to be able to view audit logs for the project as well as managed services.
NEW QUESTION # 219
You need to verify that a Google Cloud Platform service account was created at a particular time. What should you do?
Answer: D
Explanation:
Explanation
https://developers.google.com/cloud-search/docs/guides/audit-logging-manual
NEW QUESTION # 220
You recently discovered that your developers are using many service account keys during their development process. While you work on a long term improvement, you need to quickly implement a process to enforce short-lived service account credentials in your company. You have the following requirements:
* All service accounts that require a key should be created in a centralized project called pj-sa.
* Service account keys should only be valid for one day.
You need a Google-recommended solution that minimizes cost. What should you do?
Answer: C
Explanation:
According to the Google Cloud documentation, you can use organization policy constraints to control the creation and expiration of service account keys. The constraints are:
* constraints/iam.allowServiceAccountKeyCreation: This constraint allows you to specify which projects or folders can create service account keys. You can set the value to true or false, or use a condition to apply the constraint to specific service accounts. By setting this constraint to false for the organization and adding an exception for the pj-sa project, you can prevent developers from creating service account keys in other projects.
* constraints/iam.serviceAccountKeyMaxLifetime: This constraint allows you to specify the maximum lifetime of service account keys. You can set the value to a duration in seconds, such as 86400 for one day. By setting this constraint to 86400 for the organization, you can ensure that all service account keys expire after one day.
These constraints are recommended by Google Cloud as best practices to minimize the risk of service account key misuse or compromise. They also help you reduce the cost of managing service account keys, as you do not need to implement a custom solution to rotate or delete them.
References:
* 1: Associate Cloud Engineer Certification Exam Guide | Learn - Google Cloud
* 5: Create and delete service account keys - Google Cloud
* Organization policy constraints for service accounts
NEW QUESTION # 221
You have been asked to create robust Virtual Private Network (VPN) connectivity between a new Virtual Private Cloud (VPC) and a remote site. Key requirements include dynamic routing, a shared address space of 10.19.0.1/22, and no overprovisioning of tunnels during a failover event. You want to follow Google-recommended practices to set up a high availability Cloud VPN. What should you do?
Answer: B
Explanation:
https://cloud.google.com/network-connectivity/docs/vpn/concepts/best-practices
NEW QUESTION # 222
After a recent security incident, your startup company wants better insight into what is happening in the Google Cloud environment. You need to monitor unexpected firewall changes and instance creation. Your company prefers simple solutions. What should you do?
Answer: D
Explanation:
This answer is the simplest and most effective way to monitor unexpected firewall changes and instance creation in Google Cloud. Cloud Logging filters allow you to specify the criteria for the log entries that you want to view or export. You can use the Logging query language to write filters based on the LogEntry fields, such as resource.type, severity, or protoPayload.methodName. For example, you can filter for firewall-related events by using the following query:
resource.type="gce_subnetwork" logName="projects/PROJECT_ID/logs/compute.googleapis.com%2Ffirewall" You can filter for instance-related events by using the following query:
resource.type="gce_instance" logName="projects/PROJECT_ID/logs/compute.googleapis.com%2Factivity_log" You can create log-based metrics from these filters to measure the rate or count of log entries that match the filter. Log-based metrics can be used to create charts and dashboards in Cloud Monitoring, or to set up alerts based on the metric values. For example, you can create an alert policy that triggers when the log-based metric for firewall changes exceeds a certain threshold in a given time interval. This way, you can get notified of any unexpected or malicious changes to your firewall rules.
Option B is incorrect because it is unnecessarily complex and costly. Installing Kibana on a compute instance requires additional configuration and maintenance. Creating a log sink to forward Cloud Audit Logs to Pub/Sub also incurs additional charges for the Pub/Sub service. Analyzing the logs on Kibana in real time may not be feasible or efficient, as it requires constant monitoring and manual intervention.
Option C is incorrect because Google Cloud firewall rules logging is a different feature from Cloud Audit Logs. Firewall rules logging allows you to audit, verify, and analyze the effects of your firewall rules by creating connection records for each rule that applies to traffic. However, firewall rules logging does not log the insert, update, or delete events for the firewall rules themselves. Those events are logged by Cloud Audit Logs, which record the administrative activities in your Google Cloud project.
Option D is incorrect because it is not a real-time solution. Creating a log sink to forward Cloud Audit Logs to Cloud Storage requires additional storage space and charges. Using BigQuery to periodically analyze log events in the storage bucket also incurs additional costs for the BigQuery service. Moreover, this option does not provide any alerting mechanism to notify you of any unexpected or malicious changes to your firewall rules or instances.
NEW QUESTION # 223
2. Your auditor wants to view your organization's use of data in Google Cloud. The auditor is most interested in auditing who accessed data in Cloud Storage buckets. You need to help the auditor access the data they need. What should you do?
Answer: A
NEW QUESTION # 224
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