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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Ensuring data protection | 23% | - Protecting sensitive data and preventing data loss
|
| Topic 2: Configuring access | 25% | - Managing Cloud Identity
|
| Topic 3: Supporting compliance requirements | 14% | - Determining security requirements
|
| Topic 4: Configuring network security | 19% | - Designing network security
|
| Topic 5: Managing operations | 19% | - Automating infrastructure and application security
|
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NEW QUESTION # 254
Which two implied firewall rules are defined on a VPC network? (Choose two.)
Answer: B,E
Explanation:
Explanation/Reference: https://cloud.google.com/vpc/docs/firewalls
NEW QUESTION # 255
Your organization needs to restrict the types of Google Cloud services that can be deployed within specific folders to enforce compliance requirements. You must apply these restrictions only to the designated folders without affecting other parts of the resource hierarchy. You want to use the most efficient and simple method.
What should you do?
Answer: B
Explanation:
The problem requires restricting the types of Google Cloud services that can be deployed within specific folders to enforce compliance, without affecting other parts of the resource hierarchy, using the most efficient and simple method.
Organization Policies: Organization policies allow you to define centralized, programmatic controls over your Google Cloud resources. They apply hierarchically, meaning a policy set on a folder applies to all projects and resources within that folder and its descendants.
Restrict Resource Service Usage Constraint: This specific organization policy constraint is designed precisely for controlling which Google Cloud services can be used (and thus deployed/created resources for) within a given part of the resource hierarchy. It supports both allowlists and denylists of service API identifiers.
Extract Reference: "The Restrict Resource Service Usage constraint controls the runtime access to all in- scope resources." and "This constraint can be used in two mutually exclusive ways: Denylist - resources of any service that isn't denied are allowed. Allowlist - resources of any service that isn't allowed are denied." (Google Cloud Documentation: "Restricting resource usage | Resource Manager Documentation" -
https://cloud.google.com/resource-manager/docs/organization-policy/restricting-resources) Folder-Level Application: Applying this organization policy at the folder level directly meets the requirement of applying restrictions "only to the designated folders without affecting other parts of the resource hierarchy." This is more efficient and simpler than applying a global policy with numerous exceptions.
Let's evaluate the other options:
B). Implement IAM conditions on service account creation within each folder: IAM conditions control permissions for who can do what. While they can be used for very fine-grained access control, they are not designed to restrict the types of services that can be deployed directly. Controlling service account creation doesn't prevent a user with appropriate permissions from deploying other resources.
C). Create a global organization policy... and apply exceptions: While technically possible, this is less efficient and simple if the goal is to only restrict specific folders. Managing exceptions for the entire rest of the organization would be more complex than simply applying the policy directly where it's needed.
D). Configure VPC Service Controls perimeters around each folder: VPC Service Controls primarily prevent data exfiltration and restrict API access at a network perimeter level. They are not designed to restrict which types of Google Cloud services can be deployed within a project or folder; rather, they control how allowed services interact with each other and with external endpoints.
Therefore, creating an organization policy with the "Restrict Resource Service Usage" constraint at the folder level is the most efficient, simple, and direct method to achieve the stated goal.
NEW QUESTION # 256
You are setting up a CI/CD pipeline to deploy containerized applications to your production clusters on Google Kubernetes Engine (GKE). You need to prevent containers with known vulnerabilities from being deployed. You have the following requirements for your solution:
Must be cloud-native
Must be cost-efficient
Minimize operational overhead
How should you accomplish this? (Choose two.)
Answer: B,E
Explanation:
* A. Create a Cloud Build pipeline that will monitor changes to your container templates in a Cloud Source Repositories repository. Add a step to analyze Container Analysis results before allowing the build to continue:
* Use Cloud Build to automate your CI/CD pipeline.
* Integrate Container Analysis to scan container images for vulnerabilities during the build process.
* If vulnerabilities are found, configure the build to fail, preventing deployment of insecure containers.
* E. In your CI/CD pipeline, add an attestation on your container image when no vulnerabilities have been found. Use a Binary Authorization policy to block deployments of containers with no attestation in your cluster:
* Use Binary Authorization to enforce deploy-time security policies.
* Configure your CI/CD pipeline to generate attestations for container images that pass vulnerability scans.
* Binary Authorization will then block deployments of any containers without valid attestations, ensuring only secure images are deployed.
References:
* Cloud Build Overview
* Container Analysis
* Binary Authorization
NEW QUESTION # 257
Your company's users access data in a BigQuery table. You want to ensure they can only access the data during working hours.
What should you do?
Answer: A
Explanation:
o ensure that users can only access the data in a BigQuery table during working hours, you can assign the BigQuery Data Viewer role with an IAM condition that specifies the allowed access times. This method leverages IAM Conditions, which allow you to define and enforce time-based access policies. Here's how to do it:
* Identify the BigQuery Table: Determine which BigQuery table(s) require restricted access.
* Create an IAM Policy with Conditions: Define an IAM policy that includes a condition for time- based access. You can do this using the Google Cloud Console, gcloud command-line tool, or directly editing the IAM policy JSON.
* Specify Working Hours: In the IAM condition, specify the time frame during which access is allowed.
For example, you can set access to be allowed from 9 AM to 5 PM on weekdays.
* Assign the Role with Conditions: Apply the policy to the users or groups who need access. Ensure that the condition is correctly attached to the BigQuery Data Viewer role.
Example using gcloud:
gcloud projects add-iam-policy-binding [PROJECT_ID] \
--member=user:[USER_EMAIL] \
--role=roles/bigquery.dataViewer \
--condition=expression="(request.time.getFullYear() == 2024) && (request.time.getDayOfWeek() in [1, 2, 3,
4, 5]) && (request.time.getHours() >= 9) && (request.time.getHours() < 17)",title="Working hours condition",description="Access limited to working hours" References
* Google Cloud IAM Conditions
* Google Cloud BigQuery IAM Roles
NEW QUESTION # 258
You are responsible for managing your company's identities in Google Cloud. Your company enforces 2-Step Verification (2SV) for all users. You need to reset a user's access, but the user lost their second factor for 2SV. You want to minimize risk. What should you do?
Answer: D
NEW QUESTION # 259
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