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Question 181.
Which solution ensures that Cloud Storage objects cannot be modified or deleted for a legally required time period?
A) IAM roles
B) Object Versioning
C) Bucket Lock with Retention Policy
D) VPC Firewall
Answer: C
Explanation:
Bucket Lock with a defined Retention Policy is designed to ensure that Cloud Storage objects cannot be modified, overwritten, or deleted until the legally mandated retention period expires. In industries like finance, healthcare, and government, strict regulatory compliance is necessary to preserve data for specified periods. Regulations such as SEC 17a-4, HIPAA, or GDPR often mandate long-term data retention, and the retention policy helps ensure data immutability. Once the Bucket Lock is enabled, even administrators cannot reduce or remove the retention perioD) IAM roles are not sufficient for this purpose, as they grant permissions to users, but they do not prevent the deletion of objects by authorized users. Object versioning helps retain older versions of objects, but it does not completely prevent data deletion. VPC firewall rules pertain to network security and cannot prevent object modification or deletion. Therefore, Bucket Lock with a retention policy is critical for achieving compliance and safeguarding data integrity in regulated industries. The retention lock is irreversible, providing a tamper-proof mechanism for reliable long-term data governance, crucial for audits and preventing data tampering by insiders or malware.
Question 182
Which method prevents Cloud Run services from invoking Cloud Storage APIs unless explicitly permitted?
A) VPC firewall rules
B) IAM Deny Policies
C) Cloud NAT
D) DNSSEC
Answer: B
Explanation:
IAM Deny Policies allow organizations to explicitly block specific identities, such as Cloud Run service accounts, from accessing Cloud Storage APIs unless explicitly alloweD) This is a powerful mechanism for enforcing security policies that prevent unauthorized access to resources. IAM Deny Policies are particularly useful in governance models where even permissions granted by other IAM roles (such as Storage Admin) are overridden by the deny rule, ensuring strict control over API usage. VPC firewall rules apply to network traffic and cannot control access to Google Cloud APIs because they do not route through the VPC network. Cloud NAT handles outbound traffic but does not provide identity-based access controls, and DNSSEC protects the integrity of DNS records but is unrelated to API security. IAM Deny Policies ensure that API access is strictly controlled, even if service accounts have broad roles that would normally allow access to the Cloud Storage APIs. This mechanism strengthens security by preventing the inadvertent or unauthorized use of resources and ensuring compliance with internal security policies.
Question 183
Which solution protects Dataflow pipelines from reading or writing data outside an approved VPC perimeter?
A) Cloud NAT
B) VPC Service Controls
C) IAM roles only
D) Cloud Armor
Answer: B
Explanation:
VPC Service Controls (VPC-SC) is a security feature that protects Google Cloud resources by creating secure perimeters around them. With VPC-SC, you can ensure that Dataflow pipelines only interact with data within a defined VPC perimeter and do not access resources outside of it, such as Storage, BigQuery, or Pub/Sub, located in other networks. This feature is essential for preventing data exfiltration and ensuring data residency compliance in regulated industries. IAM roles alone do not provide network-level restrictions, and they cannot prevent cross-network data access. Cloud NAT does not address data boundaries or network access restrictions. Cloud Armor is primarily used for HTTP-based traffic and cannot be applied to API access, which is the nature of Dataflow operations. VPC-SC is therefore the most effective solution for enforcing network-level access restrictions and protecting data from unauthorized access or leakage.
Question 184
Which Google Cloud feature ensures that GKE cluster credentials cannot be retrieved using the gcloud CLI from outside trusted networks?
A) IAM roles
B) Access Context Manager + VPC-SC
C) OS Login
D) NAT rules
Answer: B
Explanation:
The combination of Access Context Manager and VPC-SC ensures that requests for GKE cluster credentials are restricted to trusted networks or devices. Access Context Manager allows administrators to define access policies based on factors like IP address or device identity, while VPC-SC enforces boundaries around Google Cloud services, such as GKE, limiting access to the API based on network context. This setup ensures that only authorized devices or networks can access sensitive credentials, such as GKE cluster credentials. IAM roles manage identity and permissions, but do not control the origin of requests. OS Login is designed for managing SSH access to virtual machines and does not apply to GKE credentials. NAT rules handle IP address translation for outbound traffic,, ic but do not restrict access to APIs based on network location or device. Therefore, Access Context Manager combined with VPC-SC is the most effective method to enforce strict, network-based access controls for GKE credentials.
Question 185
Which method ensures that Cloud KMS keys cannot be used unless requests originate from workloads within a securely defined service perimeter?
A) IAM only
B) VPC Service Controls
C) Public IP allowlists
D) DNS forwarding
Answer: B
Explanation:
VPC Service Controls (VPC-SC) help enforce boundaries around Cloud KMS, ensuring that only requests originating from within an approved VPC perimeter can access Cloud KMS encryption keys. This is crucial for maintaining security in a zero-trust architecture, where resources are segregated by network boundaries. While IAM roles control who can access resources, they do not restrict access based on network location. Public IP allowlists are unreliable because IP addresses can be spoofed or change over time. DNS forwarding does not enforce security at the API level. By using VPC-SC, organizations can apply strict network-level access controls to protect sensitive cryptographic operations, ensuring that Cloud KMS keys are only used within a controlled, trusted environment. This is especially important in industries with strict regulatory requirements regarding data residency and encryption key management.
Question 186
Which mechanism provides end-to-end encryption between GKE pods while also verifying pod identity?
A) SSL certificates from an external CA
B) Network Policies
C) Anthos Service Mesh mutual TLS
D) Cloud Router
Answer: C
Explanation:
Anthos Service Mesh (ASM) provides mutual TLS (mTLS) for pod-to-pod communication in Google Kubernetes Engine (GKE), ensuring both encryption of data in transit and verification of pod identity. mTLS encrypts all traffic between services, preventing eavesdropping and man-in-the-middle attacks, which are critical for maintaining confidentiality and integrity in a zero-trust security model. Furthermore, ASM validates the identity of pods via service identities, ensuring that only authorized services can communicate with each other. Network policies help enforce network-level isolation but do not provide encryption or identity verification. SSL certificates from an external Certificate Authority (CA) could provide encryption,, but do not automate pod identity verification. Cloud Router manages routing for network traffic and does not apply to the encryption or identity verification of pod-to-pod communication. ASM is therefore the most comprehensive solution for ensuring both encryption and authentication in a GKE environment.
Question 187
Which Google Cloud feature alerts you if API keys, OAuth tokens, or service account credentials appear in your public GitHub repositories?
A) Cloud DNS
B) Secret Manager
C) Sensitive Data Protection (DLP) GitHub Scanning
D) Cloud Router
Answer: C
Explanation:
Sensitive Data Protection (DLP) GitHub Scanning automatically scans public GitHub repositories for secrets, such as API keys, OAuth tokens, or service account credentials, that may have been inadvertently exposeD) This feature is essential for securing credentials that could be misused by malicious actors. When secrets are detected, alerts are generated, enabling quick remediation actions to protect the organization’s assets. Secret Manager is designed for securely storing and managing sensitive information,o,n but does not provide automated scanning of GitHub repositories. Cloud DNS and Cloud Router are networking and routing services and have no relevance to secret detection or GitHub scanning. DLP GitHub Scanning is a crucial tool for maintaining security best practices in software development and preventing credential leaks that could lead to data breaches or unauthorized access.
Question 188
Which control prevents admin users from granting themselves elevated access to Cloud KMS keys?
A) IAM Owner role
B) IAM Deny Policies
C) VPC Firewall rules
D) Cloud Logging
Answer: B
Explanation:
IAM Deny Policies are a critical control for preventing privilege escalation, including the unauthorized granting of elevated access to sensitive resources such as Cloud KMS keys. When an IAM Deny Policy is applied, it explicitly blocks actions that are otherwise allowed by other IAM roles, ensuring that even admin users cannot grant themselves or others elevated permissions. This helps enforce the principle of least privilege and prevents internal users from escalating their access to sensitive resources. The IAM Owner role gives broad administrative privileges but does not inherently prevent users from granting elevated permissions to themselves. VPC firewall rules and Cloud Logging do not control access to Cloud KMS keys or prevent IAM privilege escalation, making them unsuitable for this use case. IAM Deny Policies offer the best protection for controlling who can and cannot modify key access permissions.
Question 189
Which method ensures that Cloud Storage objects can only be accessed through authenticated, time-limited URLs instead of publicly accessible endpoints?
A) Private Google Access
B) Signed URLs
C) DNSSEC
D) NAT Gateway
Answer: B
Explanation:
Signed URLs provide temporary, authenticated access to Cloud Storage objects, allowing users to access them without making the objects publicly available. Signed URLs are a critical method for controlling access to specific resources, as they grant permissions for a limited period and can be scoped to specific actions (such as read or write). This approach is ideal for sharing sensitive data securely and temporarily, without exposing the object to the publiC) Private Google Access is intended for Google Cloud VM instances to access Google services without public IP addresses, but it does not relate to controlling access to Cloud Storage objects via signed URLs. DNSSEC protects the integrity of DNS communications,, but does not control access to Cloud Storage. NAT Gateway is used for network address translation and is irrelevant to the management of access to Cloud Storage objects. Signed URLs are the most secure and flexible method for granting time-limited, authenticated access to Cloud Storage.
Question 190
Which approach ensures that Compute Engine VMs adhere to corporate OS configurations and security baselines during startup?
A) OS Login
B) VM Manager + OS Configuration
C) Cloud DNS
D) IAM Managed Roles
Answer: B
Explanation:
VM Manager, combined with OS Configuration, ensures that Compute Engine VMs are configured according to corporate security baselines and OS configurations at startup. This includes tasks like applying patch management, enforcing security configurations, and ensuring compliance with industry standards such as CIS benchmarks. VM Manager allows administrators to apply these configurations to multiple VMs at scale, ensuring consistency and preventing configuration drift. OS Login, while essential for managing SSH access, does not handle OS configuration or security baseline enforcement. Cloud DNS is unrelated to VM configuration, as it handles domain name resolution. IAM Managed Roles control permissions at the resource level, but do not enforce security baselines on VMs. VM Manager + OS Configuration is therefore the best solution for automating and ensuring compliance with security policies during VM startup.
Question 191
Which solution guarantees that BigQuery data cannot be copied to external datasets hosted in other organizations?
A) IAM Viewer
B) Access Context Manager
C) VPC Service Controls
D) Cloud Scheduler
Answer: C
Explanation:
VPC Service Controls (VPC-SC) is a critical security feature that prevents data exfiltration across boundaries defined by the organization. Specifically, it can block actions such as copying or extracting data from BigQuery to external datasets that reside in other organizations. This is essential for organizations that need to enforce strict data residency policies and prevent accidental or malicious data leaks. VPC-SC allows you to create a secure perimeter around sensitive resources, and within that perimeter, only authorized users and services can access the data, while preventing any data movement outside the boundary.
IAM Viewer provides read access to resources within the cloud, but it does not enforce any boundaries or prevent copying data outside the approved perimeter. While IAM roles can control who can access BigQuery, they do not control where or how that data can be moveD) Access Context Manager works in tandem with IAM roles and controls access to resources based on the context of the access request, such as device or location. However, it does not provide the same level of data boundary enforcement that VPC-SC offers. Cloud Scheduler is used to schedule tasks and does not have any functionality related to access control or data residency.
VPC-SC works by restricting the ability of BigQuery to access data outside the defined perimeter. This enforcement is particularly important in industries with strict regulatory requirements, such as healthcare, finance, or government, where data privacy and compliance are paramount. For instance, organizations can use VPC-SC to ensure that data queried from BigQuery does not inadvertently end up in external cloud environments or third-party systems, thus reducing the risk of compliance violations and ensuring that all data remains within the boundaries of the defined network.
The feature also allows organizations to better control data access between different projects and services within Google Cloud, ensuring that data is not inadvertently shared across projects that may belong to different teams, departments, or business units. Additionally, VPC-SC can help protect against insider threats, where a user with valid access rights might attempt to exfiltrate data to an unauthorized location.
For organizations that deal with sensitive data or are required to adhere to privacy regulations such as GDPR or HIPAA, VPC-SC ensures that data does not leave approved regions or cross organizational boundaries, ensuring compliance and protecting against unauthorized data access and transfers. Thus, VPC-SC offers a comprehensive solution for managing data access and exfiltration risks in a multi-cloud environment.
Question 192
Which feature ensures that Cloud Run services perform only allowed outbound network traffic to pre-approved internal destinations?
A) Global Load Balancers
B) Serverless VPC Connector + Firewall rules
C) API keys
D) Cloud CDN
Answer: B
Explanation:
The Serverless VPC Connector, combined with firewall ruruless is the correct solution for ensuring that Cloud Run services can only send outbound network traffic to pre-approved internal destinations. This setup allows you to connect your Cloud Run services securely to a Virtual Private Cloud (VPC), which is essentially an isolated network in Google ClouD) By routing traffic through the VPC, you can control and restrict outbound traffic from Cloud Run services using firewall rules, ensuring that these services can only reach specific internal resources such as databases, other services, or private endpoints that are within your network perimeter.
Cloud Run is a fully managed compute platform that automatically scales your application without requiring you to manage the underlying infrastructure. However, this automatic scaling and flexibility also pose potential risks, as Cloud Run services can, by default, send traffic to any destination on the internet. This can lead to accidental data exposure or misconfigured services communicating with unintended external resources. To mitigate these risks, you can configure the Serverless VPC Connector to ensure that Cloud Run services only send traffic to allowed destinations inside your VPC)
Once the VPC connector is established, firewall rules can be applied to control which internal destinations the Cloud Run service can communicate with. For example, you might want to allow access only to certain databases or other internal APIs and block all outbound traffic to the public internet. This ensures that only trusted services and destinations within your organization can be accessed by your Cloud Run services, providing an extra layer of security by preventing the accidental exposure of internal services.
Global Load Balancers are designed to distribute incoming traffic across multiple backend services, but they do not manage or restrict outbound traffic from services like Cloud Run. API keys provide authentication for accessing APIs, but do not control the flow of network traffiC) Cloud CDN (Content Delivery Network) accelerates the delivery of content but does not play a role in restricting or managing outbound traffic from services.
Using the Serverless VPC Connector along with firewall rules is an effective way to enforce strict network access control, helping to meet compliance requirements for data security and ensuring that Cloud Run services operate within the security perimeter defined by the organization. This solution also minimizes the risk of misconfiguration and ensures that all communication between services is controlled and monitoreD)
Question 193
Which method ensures that only specific Kubernetes namespaces can access sensitive Cloud SQL instances?
A) NAT gateway
B) Kubernetes RBAC
C) Workload Identity + IAM
D) SSL cert rotation
Answer: C
Explanation:
The most secure method for ensuring that only specific Kubernetes namespaces can access sensitive Cloud SQL instances is the combination of Workload Identity and IAM (Identity and Access Management). Workload Identity allows Kubernetes service accounts to be mapped to Google Cloud IAM roles, which are then used to control access to Google Cloud resources such as Cloud SQL. This approach ensures that only workloads running in specified Kubernetes namespaces that have been granted the appropriate IAM permissions can access Cloud SQL instances, providing fine-grained control over which services can communicate with the database.
Kubernetes Role-Based Access Control (RBAC) is a key mechanism for managing permissions within Kubernetes clusters, but it does not apply to Google Cloud resources like Cloud SQL. RBAC can limit access to Kubernetes resources within a cluster, but it does not have the capability to manage or restrict access to external services or cloud resources outside of Kubernetes.
By using Workload Identity, Kubernetes workloads can be given the appropriate IAM roles that are needed to access Cloud SQL, while ensuring that only those service accounts that are linked to the correct namespace are allowed to do so. This method also improves security by reducing the need to use static service account credentials and instead leveraging dynamic identity mapping between Kubernetes and IAM.
NAT Gateway is used to provide internet access to private resources within a VPC,b butas no role in managing access to Cloud SQL instances. SSL certificate rotation is important for maintaining secure communication between services, but it does not restrict or control access to resources at the identity level. Therefore, Workload Identity combined with IAM roles is the most effective method for controlling access to Cloud SQL from Kubernetes namespaces.
This method enables organizations to implement strict security controls and ensure that only authorized services, running in trusted namespaces, can access sensitive Cloud SQL instances. This solution is particularly valuable in environments with strict data privacy regulations. It is important to limit access to databases based on the identity of the services accessing them.
Question 194
Which service helps detect that a Compute Engine VM has been compromised and is running crypto-mining workloads?
A) Cloud Scheduler
B) VM Threat Detection
C) BigQuery audits
D) IAM Analyzer
Answer: B
Explanation:
VM Threat Detection is a specialized service within Google Cloud that is designed to detect suspicious activity on virtual machines, including crypto-mining workloads. Crypto-mining is a form of unauthorized activity where attackers use a compromised VM to mine cryptocurrency without the knowledge or consent of the legitimate user. This can lead to significant performance degradation, increased costs, and potential security breaches.
VM Threat Detection uses a variety of techniques to identify signs of crypto-mining, including the analysis of system behavior, process analysis, and the identification of known crypto-mining signatures. It can automatically detect if a VM is running crypto-mining software or other forms of unauthorized mining activities and alert administrators, enabling them to take immediate action to mitigate the risk.
Cloud Scheduler is a service that allows users to schedule tasks within Google Cloud but does not provide any functionality for detecting security incidents or compromised VMs. BigQuery audits track user interactions with BigQuery resources, but do not focus on the monitoring of VM activity. IAM Analyzer is a tool that analyzes IAM permissions but does not perform security monitoring or detect compromised systems.
VM Threat Detection is a valuable tool for maintaining security and operational integrity, especially in environments where VMs are used extensively. Proactively identifying and addressing threats like crypto-mining helps to maintain the health of cloud infrastructure and prevent unauthorized resource consumption.
This solution is particularly important in large-scale cloud environments, where manual monitoring may be insufficient to detect malicious activities that can go unnoticed for long periods. VM Threat Detection automates this process, reducing the time to identify and mitigate security threats.
Question 195
Which feature ensures that only approved service accounts can access GKE metadata endpoints?
A) Workload Identity
B) VPC routes
C) Cloud NAT
D) API Gateway
Answer: A
Explanation:
Workload Identity is the feature that ensures only approved service accounts can access Google Kubernetes Engine (GKE) metadata endpoints. GKE metadata endpoints are critical resources that provide information about the GKE cluster, and they can be exploited if access is not properly controlleD) By using Workload Identity, Kubernetes service accounts are linked to Google Cloud IAM roles, which control who can access the metadata endpoints. This provides fine-grained access control and ensures that only services with the correct permissions are allowed to retrieve metadata information.
VPC routes are used to manage network traffic within Google Cloud, but do not control access to metadata endpoints. Cloud NAT is used for outbound network traffic from private VMs, but does not apply to metadata access control. API Gateway is used for managing API traffic but does not control access to metadata within GKE clusters. Therefore, Workload Identity is the most effective solution for ensuring that only authorized workloads can interact with GKE metadata endpoints.
Workload Identity helps secure GKE environments by eliminating the need for metadata server exploitation, providing strong authentication for workloads, and ensuring that only authorized services can retrieve metadatA) This is essential for reducing the attack surface and ensuring that sensitive information is protecteD)
Question 196
Which mechanism blocks users from creating resources in unapproved Google Cloud regions?
A) VPC firewall rules
B) Organization Policy: allowedLocations
C) IAM Owner role
D) DNS filtering
Answer: B
Explanation:
The Organization Policy: allowedLocations is the mechanism that blocks users from creating resources in unapproved Google Cloud regions. This is crucial for organizations that need to ensure compliance with data residency requirements, such as those imposed by regulatory bodies like GDPR or HIPAA) By defining an allowed set of locations (regions or zones), organizations can enforce geographic restrictions on where resources can be provisioneD)
VPC firewall rules are designed to manage traffic flow within a network, controlling access to services and resources within a VPC, but they do not control the creation of resources or enforce geographic restrictions. IAM Owner roles grant broad permissions for managing resources, but do not limit the regions in which those resources can be createD) DNS filtering is a technique used to control domain name resolution, but it does not manage cloud resource provisioning or geographic constraints. Therefore, the Organization Policy with allowedLocations is the best mechanism for controlling where resources can be created, providing an essential tool for governance and regulatory compliance.
By restricting resource creation to specific regions, this policy ensures that sensitive data is kept within regions that are compliant with industry standards and local laws. This mechanism also mitigates the risk of unintentional data residency violations and ensures that cloud resources are deployed in regions that meet specific compliance requirements. The ability to enforce regional restrictions at the organizational level helps organizations maintain control over their global infrastructure and prevent unauthorized deployments.
Question 197
Which tool helps verify if service accounts are granted excess permissions beyond what they use?
A) Cloud NAT
B) IAM Recommender
C) DNS Resolver
D) Cloud Functions
Answer: B
Explanation:
IAM Recommender is the tool that helps verify if service accounts have been granted excessive permissions beyond what they are actively using. It analyzes logs of service account activity and recommends reducing or revoking unnecessary permissions, thereby helping organizations follow the principle of least privilege. This ensures that service accounts only have the permissions they need to perform their tasks, reducing the attack surface and mitigating the risks associated with overly permissive access.
Cloud NAT is used for providing outbound internet access to private resources within a Virtual Private Cloud (VPC) but does not relate to managing or analyzing IAM permissions. DNS Resolver manages the resolution of domain names but is unrelated to service account permissions or access control. Cloud Functions is a serverless compute service for running event-drivecocode but it does not offer functionality for analyzing IAM permissions or making recommendations about excess privileges.
IAM Recommender uses data from activity logs to identify permissions that are not being used and suggests adjustments, helping organizations enforce tighter security controls and reduce the likelihood of privilege escalation or accidental exposure of sensitive resources. This tool is especially valuable in large-scale environments where manually reviewing each service account’s permissions could be time-consuming and prone to oversight.
By using IAM Recommender, organizations can automate the process of reviewing and refining access control policies, ensuring that users and services only have the necessary permissions to perform their roles. This tool helps maintain security hygiene and improves compliance by ensuring that permissions are always aligned with actual usage, reducing the risk of security breaches and misuse.
Question 198
Which mechanism ensures that Compute Engine boot disks are encrypted using keys fully controlled by the customer’s on-premise HSM?
A) Google-managed keys
B) CMEK
C) Cloud EKM
D) VPC Peering
Answer: C
Explanation:
Cloud EKM (External Key Manager) ensures that Compute Engine boot disks are encrypted using keys fully controlled by the customer’s on-premise Hardware Security Module (HSM). Cloud EKM allows customers to use their own keys, which are stored in an external HSM, to encrypt Google Cloud resources such as boot disks. This provides the highest level of control over encryption keys, as the keys never leave the customer’s on-premise HSM and are not managed by Google ClouD)
Google-managed keys are automatically used for encryption of resources in Google Coud,, but do not give the customer full control over the keys. CMEK (Customer-Managed Encryption Keys) allows customers to use their own keys managed through Google Cloud’s Key Management Service (KMS), but the keys are still controlled and managed by Google ClouD) VPC Peering is a method for connecting Virtual Private Clouds across projects or organizations, but it does not relate to encryption or key management.
Cloud EKM is particularly valuable for organizations that have strict regulatory requirements regarding encryption key control, such as those in the finance, healthcare, or government sectors. By using Cloud EKM, organizations can ensure that their encryption keys are managed according to their internal security policies and can provide full auditability and compliance with industry standards. This solution also offers the ability to integrate Google Cloud resources with the customer’s existing HSM infrastructure, ensuring that encryption key management remains consistent across both on-premise and cloud environments.
With Cloud EKM, customers can take advantage of the cloud’s scalability and flexibility while maintaining control over the encryption process. This solution helps organizations maintain high security standards and comply with various regulatory frameworks that require full control over cryptographic keys.
Question 199
Which method ensures that Cloud Storage labels containing sensitive metadata cannot be viewed by unauthorized users?
A) IAM restricts storage.objectViewer
B) VPC-SC
C) Label-based ACLs
D) DNSSEC
Answer: A
Explanation:
The method that ensures Cloud Storage labels containing sensitive metadata cannot be viewed by unauthorized users is by using IAM to restrict the storage.objectViewer permission. The storage.objectViewer role allows users to view the contents of Cloud Storage objects, including any associated labels. By removing or restricting this permission, you can prevent unauthorized users from viewing sensitive metadata associated with objects in your Cloud Storage buckets.
VPC-SC (VPC Service Controls) is used to create security perimeters around resources, preventing data exfiltration, but it does not directly control access to labels within Cloud Storage objects. Label-based ACLs (Access Control Lists) do not exist within Google Cloud, as access to labels is controlled through IAM policies. DNSSEC (Domain Name System Security Extensions) is focused on securing DNS communications and does not apply to controlling access to Cloud Storage data or labels.
By using IAM to manage access to storage.objectViewer, organizations can ensure that only authorized users or service accounts with the appropriate roles can view metadata labels. This helps protect sensitive data and ensures that privacy regulations are adhered to, such as in scenarios where labels might contain personally identifiable information (PII), health data, or financial records.
Implementing strict IAM policies on storage object access is a fundamental practice in maintaining data security and preventing unauthorized access to sensitive information. Organizations can combine this approach with other security measures, such as data encryption and auditing, to further secure their Cloud Storage environments.
Question 200
Which Google Cloud service provides unified visibility into threats, misconfigurations, vulnerabilities, and compliance risk across all projects?
A) Cloud Trace
B) Security Command Center Premium
C) Cloud Billing
D) Pub/Sub
Answer: B
Explanation:
The correct service that provides unified visibility into threats, misconfigurations, vulnerabilities, and compliance risks across all Google Cloud projects is Security Command Center Premium. Security Command Center (SCC) is a comprehensive security and risk management service that provides organizations with centralized visibility into their Google Cloud environments. The Premium version offers advanced capabilities, including threat detection, vulnerability scanning, and compliance assessments, making it the ideal solution for monitoring and managing security risks across multiple cloud projects.
Cloud Trace is a performance monitoring tool that helps developers and operations teams analyze and optimize the performance of applications by collecting latency data, but it does not focus on security or risk management. Cloud Billing provides detailed insights into billing and usage, but it does not offer security visibility or vulnerability scanning. Pub/Sub is a messaging service that allows for communication between different services in Google Cloud, but it is not designed for threat detection or risk management.
Security Command Center Premium is crucial for organizations looking to protect their Google Cloud environment from security breaches, misconfigurations, and compliance violations. It aggregates security data from across Google Cloud services, providing actionable insights and detailed reports that help security teams identify vulnerabilities and threats early. This tool supports proactive risk management by offering continuous monitoring of cloud resources and providing compliance checks against industry standards and regulatory frameworks. It is an essential component for organizations with a strong focus on cloud security and compliance.
