Vce Professional-Cloud-Security-Engineer Questions Latest

The problem requires automating user provisioning to a Cloud Identity security group using a service account, adhering to Google-recommended practices and the principle of least privilege.

Cloud Identity Groups and Google Workspace: Cloud Identity groups are managed as part of Google Workspace. To programmatically manage Google Workspace resources (like groups), you typically use the Admin SDK APIs.

Domain-Wide Delegation: Service accounts cannot directly authenticate to Google Workspace APIs using IAM roles. Instead, they require "domain-wide delegation" to impersonate a user with the necessary administrative privileges within Google Workspace. This allows a service account to access user data or perform administrative tasks across the domain. The correct scope for managing groups is Reference: "To allow a service account to access user data on behalf of users in a Google Workspace domain, you must delegate domain-wide authority to your service account." (Google Cloud documentation:

Extract Reference (Admin SDK Scopes): The scope is explicitly listed for "View and manage all groups on the domain." (Google Workspace Admin SDK documentation:

Application Default Credentials (ADC) with Resource-Attached Service Account: Google-recommended practices strongly advise against using service account keys directly for authentication when running on Google Cloud infrastructure. Instead, it's recommended to use Application Default Credentials (ADC) with a service account attached to the resource (e.g., a Compute Engine VM, Cloud Run service, or Cloud Functions). This method manages credentials automatically and securely, reducing the risk associated with managing and rotating keys.Extract Reference: "For most Google Cloud services, Application Default Credentials (ADC) is the recommended way to authenticate." and "When running code in a Google Cloud environment, such as Compute Engine, Cloud Run, or Cloud Functions, use the built-in service account to authenticate automatically with ADC. This is the most secure approach, as you don't need to manually create or manage service account keys." (Google Cloud documentation:

Options C and D are incorrect because granting an IAM role like "Groups Editor" in Google Cloud does not enable a service account to manage Google Workspace (Cloud Identity) group memberships; domain-wide delegation is required for that. Option A uses a service account key, which is less secure than ADC with a resource-attached service account according to Google's recommendations.

Therefore, option B is the most aligned with Google's recommended practices for securely automating group provisioning using a service account and domain-wide delegation.

To mitigate the risk posed by long-running Google Cloud CLI sessions, it is essential to enforce a reauthentication frequency. This ensures that users must periodically reauthenticate, reducing the window of opportunity for an attacker to exploit an open session. Setting the reauthentication frequency to one hour forces users to reauthenticate after this period, thereby limiting the duration an attacker can use a compromised session.

Access Google Cloud Console: Log in to your Google Cloud Console using your admin credentials.

Navigate to Security Settings: Go to the "Security" section of the Cloud Console.

Set Session Control: Under the session management settings, locate the "Reauthentication frequency" setting. This controls how often users must reauthenticate.

Configure Reauthentication Frequency: Set the reauthentication frequency to "1 hour". This configuration will force users to reauthenticate every hour, thus limiting the duration of each session.

Save Changes: Confirm and save your changes. This setting will now apply to all users, ensuring that open sessions are minimized to a duration of one hour.

TCP Proxy Load Balancing is implemented on GFEs that are distributed globally. If you choose the Premium Tier of Network Service Tiers, a TCP proxy load balancer is global. In Premium Tier, you can deploy backends in multiple regions, and the load balancer automatically directs user traffic to the closest region that has capacity. If you choose the Standard Tier, a TCP proxy load balancer can only direct traffic among backends in a single region.

For massive daily data transfers (250 TB) between cloud providers, traditional VPNs or routing through on-premises "hairpinning" are inefficient and costly. Cross-Cloud Interconnect is the architecturally correct solution for high-bandwidth, low-latency, and secure cloud-to-cloud connectivity.

According to Google Cloud Documentation (Cross-Cloud Interconnect Overview):

"Cross-Cloud Interconnect helps you establish high-bandwidth dedicated connectivity between Google Cloud and another cloud service provider (CSP) such as Microsoft Azure... It simplifies multi-cloud setup by providing a direct physical connection between Google's network and the other CSP's network."

Calculation of Requirement:

Data Volume: 250 TB per day.

Time: 86,400 seconds (1 day).

Required Bandwidth: $250 \times 10^{12} \text{ bytes} \times 8 \text{ bits/byte} / 86,400 \text{ seconds} \approx 23.1 \text{ Gbps}$.

A standard VPN (Option B) typically caps out at 3 Gbps per tunnel, making it insufficient.

The existing 20Gbps Interconnect (Option C) is already used for on-premises data and would be overwhelmed by an additional 23.1 Gbps requirement, not to mention the latency of routing Azure traffic through an on-premises data center.

Why other options are incorrect:

B is incorrect: VPN throughput is insufficient for 250 TB/day and lacks the reliability of a dedicated circuit.

C is incorrect: Routing through on-premises (hairpinning) introduces unnecessary latency and would exceed the 20Gbps capacity of the existing Interconnect.

D is incorrect: SFTP over the public internet is neither efficient for petabyte-scale data nor as secure as a private interconnect.