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| Section | Weight | Objectives |
|---|---|---|
| Supporting Compliance Requirements | 11% | - Regulatory compliance
|
| Managing Operations | 19% | - Security monitoring and logging
|
| Ensuring Data Protection | 23% | - Encryption implementation
|
| Configuring Access | 25% | - Designing access control
|
| Configuring Network Security | 20% | - Perimeter security
|
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NEW QUESTION # 305
Your company is deploying a large number of containerized applications to GKE. The existing CI/CD pipeline uses Cloud Build to construct container images, transfers the images to Artifact Registry, and then deploys the images to GKE. You need to ensure that only images that have passed vulnerability scanning and meet specific corporate policies are allowed to be deployed. The process needs to be automated and integrated into the existing CI/CD pipeline. What should you do?
Answer: D
Explanation:
The problem requires ensuring that only images that have passed vulnerability scanning and meet corporate policies are allowed to be deployed to GKE, with the process being automated and integrated into the existing CI/CD pipeline.
Binary Authorization: This Google Cloud service is purpose-built to enforce deployment policies on images before they are run on Google Kubernetes Engine (GKE), Cloud Run, and other deployable platforms. It acts as a policy gate that prevents the deployment of non-compliant images.
Extract Reference: "Binary Authorization is a deploy-time security control that ensures only trusted container images are deployed on Google Kubernetes Engine (GKE), Cloud Run, and Anthos clusters." and "With Binary Authorization, you can require images to be signed by trusted authorities and enforce validation policies during deployment." (Google Cloud Documentation: "Binary Authorization overview" - https://cloud.
google.com/binary-authorization/docs/overview)
Artifact Analysis (part of Container Analysis): Artifact Analysis (which includes Container Analysis) provides vulnerability scanning capabilities for container images stored in Artifact Registry. It generates findings and metadata about vulnerabilities.
Extract Reference: "Container Analysis is a service that scans your images for known vulnerabilities and provides metadata about them." (Google Cloud Documentation: "Overview | Container Analysis" -
https://cloud.google.com/container-analysis/docs/overview)
Binary Authorization can be configured to integrate with Artifact Analysis (or other attestors) to check for vulnerability scan results as part of its deployment policy.
Integration and Automation: Binary Authorization policies can require attestations before deployment. An attestation confirms that an image meets specific criteria (e.g., it has passed a vulnerability scan, it was signed by an approved CI/CD process, it adheres to corporate policies). Cloud Build can be configured to generate these attestations after a successful vulnerability scan (using Artifact Analysis). This fully automates the process and integrates directly into the CI/CD pipeline.
Extract Reference: "With Binary Authorization, you create a policy that enforces your requirements. The policy defines rules that govern deployment. For example, a policy can require all images to be signed by a trusted authority before deployment." (Google Cloud Documentation: "Binary Authorization overview" -
https://cloud.google.com/binary-authorization/docs/overview)
Let's evaluate the other options:
A). Custom script in Cloud Build... Fail the build: While scanning during the build is good practice (shift-left security), failing the build only prevents the image from being pushed. It doesn't prevent a developer or an automated process from manually deploying an old or non-compliant image that might already exist in Artifact Registry, or from bypassing the build system. The enforcement needs to happen at deployment time.
B). Configure GKE to use only images from a specific... trusted Artifact Registry repository. Manually inspect all images: Manually inspecting images is not automated and does not scale for a "large number of containerized applications." It also doesn't programmatically enforce vulnerability scan results or corporate policies.
D). Enable Artifact Analysis vulnerability scanning and regularly scan images... Remove any images that do not meet... before deployment: This describes scanning and remediation, which are important. However, it's a reactive approach ("remove any images") rather than a proactive enforcement ("only images that... are allowed to be deployed"). There's still a window where a non-compliant image could be deployed before it's removed. Binary Authorization is the enforcement gate.
Therefore, configuring Binary Authorization with a policy that integrates with Artifact Analysis (or requires attestations based on its findings) is the most robust, automated, and Google-recommended solution for enforcing deployment policies based on vulnerability scanning and corporate compliance.
NEW QUESTION # 306
Your team wants to centrally manage GCP IAM permissions from their on-premises Active Directory Service. Your team wants to manage permissions by AD group membership.
What should your team do to meet these requirements?
Answer: A
Explanation:
Reference:
https://cloud.google.com/blog/products/identity-security/using-your-existing-identity-management- system-with-google-cloud-platform
NEW QUESTION # 307
You want to prevent users from accidentally deleting a Shared VPC host project. Which organization-level policy constraint should you enable?
Answer: C
Explanation:
https://cloud.google.com/resource-manager/docs/organization-policy/org-policy- constraints#constraints-for-specific-services
- constraints/compute.restrictXpnProjectLienRemoval
- Restrict shared VPC project lien removal
This boolean constraint restricts the set of users that can remove a Shared VPC host project lien without organization-level permission where this constraint is set to True.
By default, any user with the permission to update liens can remove a Shared VPC host project lien. Enforcing this constraint requires that permission be granted at the organization level.
NEW QUESTION # 308
Your company wants to determine what products they can build to help customers improve their credit scores depending on their age range. To achieve this, you need to join user information in the company's banking app with customers' credit score data received from a third party. While using this raw data will allow you to complete this task, it exposes sensitive data, which could be propagated into new systems.
This risk needs to be addressed using de-identification and tokenization with Cloud Data Loss Prevention while maintaining the referential integrity across the database. Which cryptographic token format should you use to meet these requirements?
Answer: D
Explanation:
"This encryption method is reversible, which helps to maintain referential integrity across your database and has no character-set limitations." https://cloud.google.com/blog/products/identity-security/take-charge-of-your-data-how-tokenization-makes-data-usable-without-sacrificing-privacy
https://cloud.google.com/dlp/docs/pseudonymization
FPE provides fewer security guarantees compared to other deterministic encryption methods such as AES-SIV. For these reasons, Google strongly recommends using deterministic encryption with AES-SIV instead of FPE for all security sensitive use cases. Other methods like deterministic encryption using AES-SIV provide these stronger security guarantees and are recommended for tokenization use cases unless length and character set preservation are strict requirements-for example, for backward compatibility with a legacy data system.
NEW QUESTION # 309
You are on your company's development team. You noticed that your web application hosted in staging on GKE dynamically includes user data in web pages without first properly validating the inputted data. This could allow an attacker to execute gibberish commands and display arbitrary content in a victim user's browser in a production environment.
How should you prevent and fix this vulnerability?
Answer: C
Explanation:
Web Security Scanner cross-site scripting (XSS) injection testing *simulates* an injection attack by inserting a benign test string into user-editable fields and then performing various user actions.
https://cloud.google.com/security-command-center/docs/how-to-remediate-web-security-scanner- findings#xss
NEW QUESTION # 310
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