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Google Associate-Cloud-Engineer Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Ensuring successful operation of a cloud solution	20%	- Monitoring and logging - Managing cloud resources
Topic 2: Configuring access and security	15%	- Securing data and services - Managing IAM roles and permissions
Topic 3: Planning and configuring a cloud solution	25%	- Configuring storage and database solutions - Configuring compute resources
Topic 4: Deploying and implementing a cloud solution	20%	- Deploying applications and services - Implementing networking components
Topic 5: Setting up a cloud solution environment	20%	- Managing billing and identity access - Setting up cloud projects and accounts

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Google Associate Cloud Engineer Exam Sample Questions (Q281-Q286):

NEW QUESTION # 281
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?

A. Create a log sink to forward Cloud Audit Logs filtered for firewalls and compute instances to Cloud Storage. Use BigQuery to periodically analyze log events in the storage bucket.
B. Turn on Google Cloud firewall rules logging, and set up alerts for any insert, update, or delete events.
C. Install Kibana on a compute Instance. Create a log sink to forward Cloud Audit Logs filtered for firewalls and compute instances to Pub/Sub. Target the Pub/Sub topic to push messages to the Kibana instance.
Analyze the logs on Kibana in real time.
D. Use Cloud Logging filters to create log-based metrics for firewall and instance actions. Monitor the changes and set up reasonable alerts.

Answer: A

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 # 282
You built an application on your development laptop that uses Google Cloud services. Your application uses Application Default Credentials for authentication and works fine on your development laptop. You want to migrate this application to a Compute Engine virtual machine (VM) and set up authentication using Google- recommended practices and minimal changes. What should you do?

A. Store credentials for service accounts with appropriate access for Google services in a config file, and deploy this config file with your application.
B. Store credentials for your user account with appropriate access for Google services in a config file, and deploy this config file with your application.
C. Create a service account with appropriate access for Google services, and configure the application to use this account.
D. Assign appropriate access for Google services to the service account used by the Compute Engine VM.

Answer: C

Explanation:
Reference:
https://cloud.google.com/compute/docs/access/create-enable-service-accounts-for-instances

NEW QUESTION # 283
Your organization uses G Suite for communication and collaboration. All users in your organization have a G Suite account. You want to grant some G Suite users access to your Cloud Platform project. What should you do?

A. Enable Cloud Identity in the GCP Console for your domain.
B. Grant them the required IAM roles using their G Suite email address.
C. In the G Suite console, add the users to a special group called cloud-console-users@yourdomain.com. Rely on the default behavior of the Cloud Platform to grant users access if they are members of this group.
D. Create a CSV sheet with all users' email addresses. Use the gcloud command line tool to convert them into Google Cloud Platform accounts.

Answer: B

Explanation:
Reference:
Default behavior does not grant access to the "your GCP Project" Default behavior allow only create billing account and project - When the organization is created, all users in your domain are automatically granted Project Creator and Billing Account Creator IAM roles at the organization level. This enables users in your domain to continue creating projects with no disruption.

NEW QUESTION # 284
You have a Bigtable instance that consists of three nodes that store personally identifiable information (PII) data. You need to log all read or write operations, including any metadata or configuration reads of this database table, in your company's Security Information and Event Management (SIEM) system. What should you do?

A. - Navigate to Cloud Monitoring in the Google Cloud console, and create a custom monitoring job for the Bigtable instance to track all changes.
- Create an alert by using webhook endpoints, with the SIEM endpoint as a receiver.
B. - Navigate to the Audit Logs page in the Google Cloud console, and enable Data Read, Data Write and Admin Read logs for the Bigtable instance.
- Create a Pub/Sub topic as a Cloud Logging sink destination, and add your SIEM as a subscriber to the topic.
C. - Navigate to the Audit Logs page in the Google Cloud console, and enable Admin Write logs for the Bigtable instance.
- Create a Cloud Functions instance to export logs from Cloud Logging to your SIEM.
D. - Install the Ops Agent on the Bigtable instance during configuration.
- Create a service account with read permissions for the Bigtable instance.
- Create a custom Dataflow job with this service account to export logs to the company's SIEM system.

Answer: B

Explanation:
https://cloud.google.com/bigtable/docs/audit-logging

NEW QUESTION # 285
You are using multiple configurations for gcloud. You want to review the configured Kubernetes Engine cluster of an inactive configuration using the fewest possible steps. What should you do?

A. Use gcloud config configurations describe to review the output.
B. Use kubectl config use-context and kubectl config view to review the output.
C. Use kubectl config get-contexts to review the output.
D. Use gcloud config configurations activate and gcloud config list to review the output.

Answer: B

Explanation:
Reference:
kubectl config view -o jsonpath='{.users[].name}' # display the first user kubectl config view -o jsonpath='{.users[*].name}' # get a list of users kubectl config get-contexts # display list of contexts kubectl config current-context # display the current-context kubectl config use-context my-cluster-name # set the default context to my-cluster-name
https://kubernetes.io/docs/reference/kubectl/cheatsheet/

NEW QUESTION # 286
......

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