Cloud Digital Leader Practice Test 5 — 10 Questions

Question 1

A company runs a customer-facing web application with a published SLA of 99.95% monthly availability. In the past month, the application experienced two outages: a 12-minute outage and a 7-minute outage. Did the company meet its SLA?

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

Accepted Answer

Yes — 99.95% availability in a 30-day month allows approximately 21.6 minutes of downtime; total outage of 19 minutes is within the budget, meaning the SLA was met. The SLA of 99.95% monthly availability permits a maximum downtime of approximately 21.6 minutes in a 30-day month (total minutes in month × (1 - 0.9995) = 43,200 × 0.0005 = 21.6 minutes). The combined outage of 19 minutes (12 + 7) is within this budget, so the SLA was met. This calculation assumes a 30-day month; if the month had 31 days, the allowable downtime would be about 22.3 minutes, still exceeding 19 minutes.

Answer

No — the company missed the SLA because any outage automatically constitutes an SLA breach

Answer

The answer cannot be determined without knowing the cause of the outages

Answer

No — two separate outages in one month always constitute an SLA breach regardless of duration

Question 2

A multinational retail company has an on-premises infrastructure with a mix of Windows and Linux servers. They are planning to migrate their e-commerce platform to Google Cloud to take advantage of scalability and reduce latency. The platform consists of a web frontend (Apache), a backend API (Node.js), and a MySQL database. They want to minimize downtime during the migration. They have a limited budget and need a solution that is cost-effective and quick to implement. The IT team has experience with containers but prefers to avoid managing Kubernetes. Which approach should they take?

Accepted Answer

Migrate the frontend to App Engine Standard, the backend to Cloud Run, and the database to Cloud SQL with read replicas.. It combines fully managed, serverless services (App Engine Standard for the web frontend and Cloud Run for the backend API) with Cloud SQL for the database, which meets the requirements of minimizing downtime, being cost-effective, and avoiding Kubernetes management. App Engine Standard and Cloud Run automatically scale to zero when not in use, reducing costs, and Cloud SQL with read replicas provides high availability and low-latency reads without complex orchestration. This approach also allows for a gradual migration with minimal disruption, as the existing code can be adapted with minimal changes.

Answer

Use Compute Engine for the web frontend, Cloud Functions for the backend API, and Cloud Spanner for the database.

Answer

Lift and shift all components to Compute Engine with an autoscaling managed instance group, and migrate the database to Cloud SQL.

Answer

Containerize all components using GKE, use Cloud SQL for the database, and deploy using a CI/CD pipeline.

Question 3

A company wants to allow a third-party security firm to conduct a penetration test against their Google Cloud environment to identify vulnerabilities. What is Google Cloud's policy on penetration testing?

Accepted Answer

Customers are authorized to penetration test their own GCP resources without prior Google approval, within the Acceptable Use Policy.. Google Cloud's policy explicitly authorizes customers to conduct penetration testing on their own GCP resources without prior approval from Google, as long as the testing complies with the Acceptable Use Policy. This is because Google treats the customer's environment as their own responsibility, and the shared responsibility model places security testing under the customer's control. Option B correctly reflects this policy, which is documented in Google Cloud's security testing guidelines.

Answer

Customers must submit a formal request to Google and wait for written approval before any penetration testing.

Answer

Penetration testing is illegal in cloud environments and customers should use vulnerability scanners instead.

Answer

Google automatically performs penetration testing on all customer resources monthly and shares the report.

Question 4

An architect is evaluating trade-offs between using Google Cloud's global network backbone for application traffic versus routing traffic over the public internet. She notes that Google's global network is one of the largest private networks in the world. What is the primary performance advantage of routing application traffic over Google's private backbone?

Accepted Answer

Traffic on Google's private backbone avoids public internet congestion and variable routing, providing consistently lower latency and higher throughput for traffic between regions and to users near Google PoPs. Google's private backbone is a dedicated, software-defined network that uses Google's own fiber infrastructure and BGP routing policies to keep traffic entirely within Google's controlled environment. This avoids the unpredictable congestion, packet loss, and variable routing paths of the public internet, resulting in consistently lower latency and higher throughput for traffic between Google Cloud regions and to users near Google Points of Presence (PoPs).

Answer

Google's private backbone uses faster optical fiber than public internet service providers

Answer

Google's private backbone is free for customers while public internet egress incurs data transfer charges

Answer

Using Google's backbone eliminates the need for application-level TLS encryption because the network is inherently secure

Question 5

A company wants to create a customer-facing conversational AI assistant that understands natural language and can answer questions about its products, integrated into their website and mobile app. Which Google Cloud AI product is the most appropriate starting point?

Accepted Answer

Dialogflow CX, Google Cloud's managed conversational AI platform for building natural language understanding chatbots integrated into web and mobile apps. Dialogflow CX is the correct choice because it is Google Cloud's managed conversational AI platform specifically designed for building natural language understanding (NLU) chatbots that can be integrated into websites and mobile apps. It provides advanced state management, flow-based conversation design, and seamless integration with web and mobile channels, making it the most appropriate starting point for a customer-facing conversational AI assistant.

Answer

BigQuery ML, for building machine learning models on customer data to predict product recommendations

Answer

Cloud Vision API, for analyzing images to understand customer product photos

Answer

Cloud Natural Language API, for analyzing the sentiment of customer product reviews

Question 6

A company's finance team wants to understand why their cloud bills vary significantly month to month, unlike their fixed on-premises IT costs. Which fundamental cloud pricing characteristic explains this variability?

Accepted Answer

Consumption-based pricing means cloud costs scale directly with actual usage, unlike fixed on-premises costs. Cloud computing operates on a consumption-based (pay-as-you-go) pricing model, where costs are directly tied to the amount of resources consumed (e.g., compute hours, storage GB, data transfer). Unlike fixed on-premises IT costs, which are incurred regardless of actual usage (e.g., hardware depreciation, facility leases), cloud bills fluctuate as usage scales up or down. This fundamental characteristic explains the month-to-month variability observed by the finance team.

Answer

Cloud providers change their prices frequently, causing unpredictable costs

Answer

Cloud providers apply hidden fees that vary randomly each month

Answer

Cloud costs are fixed like on-premises costs; the variability must be caused by billing errors

Question 7

A team needs to process and analyze streaming data in real-time as it arrives from IoT sensors. The pipeline must apply transformations, filter events, and write results to BigQuery. Which Google Cloud service is designed for this stream processing use case?

Accepted Answer

Cloud Dataflow. Cloud Dataflow is the correct choice because it is a fully managed, serverless service designed specifically for stream and batch data processing. It uses Apache Beam as its programming model, enabling you to apply transformations, filter events, and write results to BigQuery in real-time, exactly matching the described pipeline requirements.

Answer

Cloud Dataproc

Answer

Cloud Composer

Answer

BigQuery Streaming Insert

Question 8

A global fintech company needs a database that can handle financial transactions across 50+ countries with consistent, ACID-compliant operations, SQL queries, and automatic global replication with no downtime for maintenance. Which Google Cloud database service meets all these requirements?

Accepted Answer

Cloud Spanner. Cloud Spanner is the only Google Cloud database that provides ACID-compliant transactions, full SQL support, and automatic synchronous global replication with no downtime for maintenance. It is designed for horizontally scalable, globally distributed applications that require strong consistency across regions, making it the ideal choice for a fintech company operating in 50+ countries.

Answer

Cloud SQL (PostgreSQL)

Answer

Cloud Bigtable

Answer

Firestore

Question 9

A media company stores video files, images, and static website assets that must be served globally with low latency. They want an object storage solution that is highly durable, accessible via standard HTTPS, and can be configured to make specific assets publicly accessible. Which Google Cloud storage product is most appropriate?

Accepted Answer

Cloud Storage, Google Cloud's object storage for unstructured data accessible via HTTPS with configurable public access. Cloud Storage is Google Cloud's object storage service designed for unstructured data such as video files, images, and static website assets. It provides global accessibility via standard HTTPS, offers 99.999999999% (11 9's) durability, and supports granular access control through IAM and ACLs, allowing specific assets to be made publicly accessible. This directly matches all the requirements in the question.

Answer

Filestore, Google Cloud's managed NFS file storage service

Answer

Persistent Disk, Google Cloud's block storage for virtual machine instances

Answer

Cloud SQL, Google Cloud's managed relational database service

Question 10

A chief digital officer is designing a transformation roadmap. She argues that cloud adoption must be accompanied by organizational changes to be effective. Which organizational change is most critical for realizing the full potential of cloud technology?

Accepted Answer

Shifting from project-based, siloed IT teams to persistent, cross-functional product teams that own services end-to-end — enabling continuous delivery and rapid iteration aligned with cloud-native operating models. Cloud-native operating models (e.g., microservices, containers, CI/CD) require persistent, cross-functional product teams that own services end-to-end. This structure enables continuous delivery, rapid iteration, and aligns with DevOps practices, which are essential for leveraging cloud elasticity and automation. Without this organizational shift, technical cloud adoption alone often fails to deliver expected agility and cost efficiencies.

Answer

Replacing all existing employees with new hires who have cloud certifications

Answer

Moving IT from a cost center to a profit center by charging business units market rates for cloud services

Answer

Outsourcing all cloud operations to a managed service provider so internal teams can focus on business strategy