Question # 1
You are troubleshooting access denied errors between Compute Engine instances connected to a Shared VPC and BigQuery datasets. The datasets reside in a project protected by a VPC Service Controls perimeter. What should you do? |
A. Add the host project containing the Shared VPC to the service perimeter. | B. Add the service project where the Compute Engine instances reside to the service perimeter. | C. Create a service perimeter between the service project where the Compute Engine instances reside and the host project that contains the Shared VPC. | D. Create a perimeter bridge between the service project where the Compute Engine instances reside and the perimeter that contains the protected BigQuery datasets. |
A. Add the host project containing the Shared VPC to the service perimeter.
Question # 2
A customer has an analytics workload running on Compute Engine that should have limited internet access.
Your team created an egress firewall rule to deny (priority 1000) all traffic to the internet.
The Compute Engine instances now need to reach out to the public repository to get security updates. What should your team do? |
A. Create an egress firewall rule to allow traffic to the CIDR range of the repository with a priority greater than 1000. | B. Create an egress firewall rule to allow traffic to the CIDR range of the repository with a priority less than 1000. | C. Create an egress firewall rule to allow traffic to the hostname of the repository with a priority greater than 1000. | D. Create an egress firewall rule to allow traffic to the hostname of the repository with a priority less than 1000. |
B. Create an egress firewall rule to allow traffic to the CIDR range of the repository with a priority less than 1000.
Explanation:
To allow Compute Engine instances to access public repositories for security updates while an egress firewall rule is in place to deny all internet traffic, you need to create a more specific egress rule that permits traffic to the CIDR range of the repository. The priority of this rule should be lower (i.e., a higher priority number) than the deny rule.
Steps:
Identify the CIDR Range: Determine the CIDR range of the public repository from which the security updates will be fetched.
Create Egress Firewall Rule: Create a new egress firewall rule allowing traffic to the identified CIDR range with a priority less than 1000.
Apply Firewall Rule: Use the Google Cloud Console or gcloud command-line tool to apply the new firewall rule.
References:
Google Cloud: Firewall rules
Creating firewall rules
Question # 3
Applications often require access to “secrets” - small pieces of sensitive data at build or run time. The administrator managing these secrets on GCP wants to keep a track of “who did what, where, and when?” within their GCP projects.
Which two log streams would provide the information that the administrator is looking for? (Choose two.) |
A. Admin Activity logs | B. System Event logs | C. Data Access logs | D. VPC Flow logs | E. Agent logs |
A. Admin Activity logs
C. Data Access logs
Explanation:
To keep track of "who did what, where, and when?" within GCP projects, the administrator should focus on Admin Activity logs and Data Access logs. Here’s a detailed explanation of why these two log streams are essential:
Admin Activity Logs:
These logs capture administrative actions performed in your Google Cloud resources. This includes actions like creating, modifying, or deleting resources.
Admin Activity logs provide detailed information about the user who performed the action, the resource that was affected, the action performed, and the timestamp.
Data Access Logs:
These logs capture read and write operations on data within your Google Cloud services. This includes actions like accessing or modifying data stored in databases, storage buckets, etc.
Data Access logs help track the access patterns of users and services to sensitive data, providing insights into who accessed which data and when.
Steps to Enable and Access Logs:
Navigate to the Google Cloud Console.
Go to Logging in the left-hand menu.
Enable Admin Activity and Data Access logs if not already enabled.
Use Logs Explorer to filter and view specific logs based on your requirements.
By monitoring both Admin Activity and Data Access logs, administrators can gain comprehensive visibility into the actions performed on their GCP resources and data, ensuring robust security and compliance tracking.
References:
Google Cloud Logging Documentation
Audit Logs Overview
Question # 4
Your organization is using GitHub Actions as a continuous integration and delivery (Cl/CD) platform. You must enable access to Google Cloud resources from the Cl/CD pipelines in the most secure way.
What should you do? |
A. Create a service account key and add it to the GitHub pipeline configuration file. | B. Create a service account key and add it to the GitHub repository content. | C. Configure a Google Kubernetes Engine cluster that uses Workload Identity to supply credentials to GitHub. | D. Configure workload identity federation to use GitHub as an identity pool provider. |
D. Configure workload identity federation to use GitHub as an identity pool provider.
Explanation:
Challenge:
Ensuring secure access to Google Cloud resources from GitHub Actions CI/CD pipelines without directly managing service account keys.
Workload Identity Federation:
Allows for the delegation of access to Google Cloud resources based on federated identities, such as those from GitHub.
Benefits:
This approach eliminates the need to manage service account keys, reducing the risk of key leakage.
It leverages GitHub's identity provider capabilities to authenticate and authorize access.
Steps to Configure Workload Identity Federation:
Step 1: Create a workload identity pool in Google Cloud.
Step 2: Add GitHub as an identity provider within the pool.
Step 3: Configure the necessary permissions and bindings for the identity pool to allow GitHub Actions to access Google Cloud resources.
Step 4: Update the GitHub Actions workflow to use the identity federation for authentication.
References:
Workload Identity Federation
Configuring Workload Identity Federation with GitHub
Question # 5
You are creating an internal App Engine application that needs to access a user’s Google Drive on the user’s behalf. Your company does not want to rely on the current user’s credentials. It also wants to follow Google- recommended practices.
What should you do? |
A. Create a new Service account, and give all application users the role of Service Account User. | B. Create a new Service account, and add all application users to a Google Group. Give this group the role of Service Account User. | C. Use a dedicated G Suite Admin account, and authenticate the application’s operations with these G Suite credentials. | D. Create a new service account, and grant it G Suite domain-wide delegation. Have the application use it to impersonate the user. |
D. Create a new service account, and grant it G Suite domain-wide delegation. Have the application use it to impersonate the user.
Explanation:
To access a user's Google Drive on their behalf without relying on the user's credentials and following Google-recommended practices, you should use a service account with domain-wide delegation.
Create a Service Account:
Go to the Cloud Console, navigate to IAM & Admin > Service Accounts.
Click "Create Service Account" and provide necessary details.
Grant Domain-Wide Delegation:
Edit the service account to enable "G Suite Domain-wide Delegation".
Download the JSON key file.
Configure API Access in G Suite:
Go to the Google Admin Console.
Navigate to Security > API Controls > Domain-wide Delegation.
Add a new API client and use the client ID from the service account.
Authorize the necessary API scopes (e.g., https://www.googleapis.com/auth/drive).
Implement in Application:
Use the Google API Client Library for the desired language.
Load the service account credentials and perform user impersonation to access Google Drive.
References:
Domain-wide Delegation of Authority
Using OAuth 2.0 for Server to Server Applications
Question # 6
How should a customer reliably deliver Stackdriver logs from GCP to their on-premises SIEM system? |
A. Send all logs to the SIEM system via an existing protocol such as syslog. | B. Configure every project to export all their logs to a common BigQuery DataSet, which will be queried by the SIEM system. | C. Configure Organizational Log Sinks to export logs to a Cloud Pub/Sub Topic, which will be sent to the SIEM via Dataflow. | D. Build a connector for the SIEM to query for all logs in real time from the GCP RESTful JSON APIs. |
C. Configure Organizational Log Sinks to export logs to a Cloud Pub/Sub Topic, which will be sent to the SIEM via Dataflow.
Explanation:
Scenarios for exporting Cloud Logging data: Splunk This scenario shows how to export selected logs from Cloud Logging to Pub/Sub for ingestion into Splunk. Splunk is a security information and event management (SIEM) solution that supports several ways of ingesting data, such as receiving streaming data out of Google Cloud through Splunk HTTP Event Collector (HEC) or by fetching data from Google Cloud APIs through Splunk Add-on for Google Cloud. Using the Pub/Sub to Splunk Dataflow template, you can natively forward logs and events from a Pub/Sub topic into Splunk HEC. If Splunk HEC is not available in your Splunk deployment, you can use the Add-on to collect the logs and events from the Pub/Sub topic.
https://cloud.google.com/solutions/exporting-stackdriver-logging-for-splunk
Question # 7
Your company’s new CEO recently sold two of the company’s divisions. Your Director asks you to help migrate the Google Cloud projects associated with those divisions to a new organization node. Which preparation steps are necessary before this migration occurs? (Choose two.)
|
A. Remove all project-level custom Identity and Access Management (1AM) roles. | B. Disallow inheritance of organization policies. | C. Identify inherited Identity and Access Management (1AM) roles on projects to be migrated. | D. Create a new folder for all projects to be migrated. | E. Remove the specific migration projects from any VPC Service Controls perimeters and bridges. |
C. Identify inherited Identity and Access Management (1AM) roles on projects to be migrated.
E. Remove the specific migration projects from any VPC Service Controls perimeters and bridges.
Explanation:
To prepare for migrating Google Cloud projects to a new organization node, it's crucial to ensure that the projects' current configurations and dependencies are appropriately managed. The two necessary preparation steps are:
Identify inherited Identity and Access Management (IAM) roles on projects to be migrated (C):
Projects inherit IAM roles from their parent resources. Identifying these roles is essential to understand the permissions and access levels that users have on the projects. This will help in ensuring that after migration, the appropriate roles and permissions are applied correctly.
Remove the specific migration projects from any VPC Service Controls perimeters and bridges (E):
VPC Service Controls provide security boundaries around your Google Cloud resources to mitigate data exfiltration risks. Before migrating the projects, they need to be removed from any existing VPC Service Controls perimeters and bridges to prevent any disruption in access or network communication. After migration, the projects can be added back to the necessary perimeters.
References
Google Cloud IAM documentation
VPC Service Controls documentation
Question # 8
Your company conducts clinical trials and needs to analyze the results of a recent study that are stored in BigQuery. The interval when the medicine was taken contains start and stop dates The interval data is critical to the analysis, but specific dates may identify a particular batch and introduce bias You need to obfuscate the start and end dates for each row and preserve the interval data.
What should you do? |
A. Use bucketing to shift values to a predetermined date based on the initial value. | B. Extract the date using TimePartConfig from each date field and append a random month and year | C. Use date shifting with the context set to the unique ID of the test subject | D. Use the FFX mode of format preserving encryption (FPE) and maintain data consistency |
A. Use bucketing to shift values to a predetermined date based on the initial value.
Explanation:
"Date shifting techniques randomly shift a set of dates but preserve the sequence and duration of a period of time. Shifting dates is usually done in context to an individual or an entity. That is, each individual's dates are shifted by an amount of time that is unique to that individual."
Question # 9
An organization adopts Google Cloud Platform (GCP) for application hosting services and needs guidance on setting up password requirements for their Cloud Identity account. The organization has a password policy requirement that corporate employee passwords must have a minimum number of characters.
Which Cloud Identity password guidelines can the organization use to inform their new requirements? |
A. Set the minimum length for passwords to be 8 characters. | B. Set the minimum length for passwords to be 10 characters. | C. Set the minimum length for passwords to be 12 characters. | D. Set the minimum length for passwords to be 6 characters. |
A. Set the minimum length for passwords to be 8 characters.
Explanation:
The minimum length for passwords in Cloud Identity can be set to 8 characters. This aligns with common security best practices for password policies, ensuring a basic level of complexity and security.
Step-by-Step:
Access Admin Console: Log in to the Google Admin console.
Navigate to Security Settings: Go to Security > Password Management.
Set Minimum Length: Set the minimum length for passwords to 8 characters.
Save Changes: Save the settings and ensure that all user accounts adhere to the new policy.
References:
Google Cloud Identity Security Settings
Password Policy Best Practicesv
Question # 10
Which two implied firewall rules are defined on a VPC network? (Choose two.) |
A. A rule that allows all outbound connections | B. A rule that denies all inbound connections | C. A rule that blocks all inbound port 25 connections | D. A rule that blocks all outbound connections | E. A rule that allows all inbound port 80 connections |
A. A rule that allows all outbound connections
B. A rule that denies all inbound connections
Explanation:
Implied IPv4 allow egress rule. An egress rule whose action is allow, destination is 0.0.0.0/0, and priority is the lowest possible (65535) lets any instance send traffic to any destination
Implied IPv4 deny ingress rule. An ingress rule whose action is deny, source is 0.0.0.0/0, and priority is the lowest possible (65535) protects all instances by blocking incoming connections to them.
https://cloud.google.com/vpc/docs/firewalls?hl=en#default_firewall_rules
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