Cloud Digital Leader Practice Test 3 — 10 Questions

Question 1

A company has a Google Cloud environment with 50 projects and 200 engineers. The security team wants to ensure that a new security policy — requiring all Cloud Storage buckets to have uniform bucket-level access enabled — applies to all existing and future buckets across all projects. Which approach scales to the entire organization?

Choose an answer to begin — your selection is scored in the full session.

Accepted Answer

Apply an Organization Policy constraint ('storage.uniformBucketLevelAccess') at the organization level to enforce the setting automatically across all current and future projects and buckets. Organization Policy constraints, such as `storage.uniformBucketLevelAccess`, are enforced at the organization level and automatically apply to all existing and future projects and resources within the organization. This ensures uniform compliance without manual intervention, scaling seamlessly across 50 projects and 200 engineers.

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Send an email to all 200 engineers explaining the policy and asking them to manually enable uniform bucket-level access on their buckets

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Create a Cloud Function that checks bucket configurations hourly and enables uniform access on non-compliant buckets

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Grant the security team Owner access to all 50 projects so they can manually enforce the policy in each project

Question 2

A company wants to expose its internal backend services to external partners through a managed API layer that handles authentication, rate limiting, traffic management, and analytics — without modifying the underlying services. Which Google Cloud product is designed for this API management use case?

Accepted Answer

Apigee, Google Cloud's full-featured enterprise API management platform for authentication, rate limiting, analytics, and developer portal without modifying backend services. Apigee is Google Cloud's full-featured enterprise API management platform designed to expose backend services to external partners without requiring modifications to those services. It provides built-in authentication, rate limiting, traffic management, and analytics, along with a developer portal for partner onboarding. This makes it the correct choice for the described use case.

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Cloud Load Balancing, which distributes API requests across backend instances

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Cloud Endpoints, a lighter-weight API gateway for Google Cloud-hosted APIs

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Cloud Armor, Google Cloud's web application firewall and DDoS protection service

Question 3

A software team wants to host their container images securely within Google Cloud and integrate with Cloud Build for CI/CD pipelines and GKE for deployments. Which Google Cloud product serves as the managed repository for storing and managing container images?

Accepted Answer

Artifact Registry, Google Cloud's managed repository for container images and build artifacts with native CI/CD integration. Artifact Registry is Google Cloud's fully managed, next-generation repository for storing, managing, and securing container images and build artifacts. It natively integrates with Cloud Build for CI/CD pipelines and GKE for deployments, providing features like vulnerability scanning, access control via IAM, and support for multiple formats (Docker, Maven, npm, etc.). This makes it the correct choice for the team's requirements.

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Cloud Storage, by storing container images as objects in a bucket

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Container Registry (gcr.io), the legacy Google container image service

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Cloud Source Repositories, for storing source code and container build files

Question 4

An operations team wants to receive an automated alert when their web application's HTTP error rate exceeds 5% for more than 5 minutes. Which Google Cloud product is used to configure this type of metric-based alert?

Accepted Answer

Cloud Monitoring, by creating an alerting policy on the HTTP error rate metric with a 5-minute evaluation window and notification channel. Cloud Monitoring is the correct service because it is purpose-built for creating alerting policies based on metrics like HTTP error rates. You can define a condition that triggers when the error rate exceeds 5% for a specified evaluation window (e.g., 5 minutes) and route the alert through a notification channel (e.g., email, Slack). This directly matches the requirement for a metric-based alert with a time-based threshold.

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Cloud Logging, by configuring a log-based metric and email notification

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Cloud Trace, by setting a trace sampling threshold for error requests

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Security Command Center, by configuring a finding for high error rates

Question 5

A company wants to use computing resources over the internet without managing physical servers. The cloud provider manages the underlying hardware and virtualization, while the company manages the operating system, middleware, and applications. Which cloud service model does this describe?

Accepted Answer

Infrastructure as a Service (IaaS). This scenario describes Infrastructure as a Service (IaaS) because the cloud provider manages the physical hardware and virtualization layer, while the customer retains control over the operating system, middleware, and applications. In IaaS, the provider offers virtualized computing resources (e.g., virtual machines, storage, networks) via APIs or dashboards, and the customer is responsible for OS patches, application configuration, and middleware management. This matches the given split of responsibilities exactly.

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Software as a Service (SaaS)

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Platform as a Service (PaaS)

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Function as a Service (FaaS)

Question 6

Google Cloud runs its own infrastructure operations using the Site Reliability Engineering (SRE) model, which Google invented. What is the core principle that distinguishes SRE from traditional IT operations?

Accepted Answer

SRE applies software engineering principles to operations — automating toil, using quantitative SLOs, and treating reliability as an engineered system property.. The core principle of SRE is applying software engineering practices to operations work. This means automating manual toil, defining quantitative Service Level Objectives (SLOs) to measure reliability, and treating reliability as an engineered property of the system — not as an afterthought. This contrasts with traditional IT operations, which often rely on manual processes and reactive troubleshooting.

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SRE teams never allow production deployments to ensure maximum stability.

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SRE relies entirely on external monitoring vendors to detect and respond to all incidents.

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SRE means development and operations teams are separate departments that communicate only via ticketing systems.

Question 7

What is the key difference between a virtual machine (VM) and a container in terms of how they package and run applications?

Accepted Answer

VMs include a full guest OS; containers share the host OS kernel and contain only the application and its dependencies.. The key difference is that a virtual machine (VM) includes a full guest operating system (OS) running on top of a hypervisor, which virtualizes the underlying hardware. In contrast, a container packages only the application and its dependencies (libraries, binaries, configuration files) and shares the host OS kernel via the container runtime (e.g., Docker, containerd). This makes containers lightweight and faster to start, as they avoid the overhead of a separate OS instance.

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VMs run on physical hardware; containers run in the cloud.

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Containers are less secure than VMs because they share hardware.

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VMs are only for Linux applications; containers support all operating systems.

Question 8

A security architect wants to implement a 'never trust, always verify' security approach where no user or service is assumed to be trustworthy based on network location alone. Every access request must be authenticated and authorized regardless of whether it comes from inside or outside the corporate network. Which security model describes this approach?

Accepted Answer

Zero Trust security model. The Zero Trust security model (Option B) is correct because it explicitly enforces the 'never trust, always verify' principle, requiring authentication and authorization for every access request regardless of network location. In Google Cloud, this aligns with BeyondCorp, which uses identity-aware proxy (IAP) and context-aware access to verify each request based on user identity, device posture, and other attributes, rather than trusting based on IP address or network perimeter.

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Perimeter security model

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Defense in depth model

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Principle of least privilege

Question 9

A company wants to migrate its existing on-premises virtual machines (VMware VMs) to Google Cloud with minimal changes to the operating system and applications. Which Google Cloud product is specifically designed for migrating on-premises VMs to Google Cloud with minimal modification?

Accepted Answer

Migrate to Virtual Machines (formerly Velostrata), which migrates on-premises VMware VMs to Compute Engine with minimal modification and downtime. Migrate to Virtual Machines (formerly Velostrata) is the correct choice because it is specifically designed to migrate on-premises VMware VMs to Compute Engine with minimal modification to the OS and applications. It uses a streaming migration approach that moves the VM's disk state incrementally while keeping the VM running, resulting in minimal downtime and no need to re-architect the workloads.

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Cloud Dataflow, by streaming data from on-premises VMs to Google Cloud storage

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Anthos, by registering on-premises Kubernetes clusters with Google Cloud's management plane

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Cloud Storage Transfer Service, by copying VM disk images from on-premises storage to Cloud Storage

Question 10

A company has a requirement from their security auditor to demonstrate that all administrative actions performed in Google Cloud (such as creating VMs, modifying IAM policies, and deleting storage buckets) are logged and tamper-evident. Which Cloud Logging log type fulfills this requirement?

Accepted Answer

Admin Activity audit logs — always-on, tamper-resistant logs of all administrative API calls.. Admin Activity audit logs are always-on, tamper-resistant logs that record all administrative API calls, such as creating VMs, modifying IAM policies, and deleting storage buckets. They cannot be disabled or modified by users, ensuring tamper-evident logging for security auditor requirements.

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Data Access audit logs — they capture all read and write operations.

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System Event audit logs — they capture all Google Cloud operations.

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Cloud Monitoring logs — they track all changes to monitored resources.