Google Cloud Digital Leader practice questions

Question 1 · Digital Transformation with Google Cloud

Thornbury Linens, a 40-year-old textile wholesaler, still runs order intake through a mainframe that only the two remaining COBOL contractors understand. The CEO wants to sell direct to consumers within 18 months but the board keeps framing the cloud discussion as a hosting-cost exercise. Which framing best describes what digital transformation actually requires here?

1. A.Rebuilding how Thornbury creates and delivers value to customers, with technology as the enabler rather than the goal
2. B.Standardizing every department on the same office productivity suite before any customer-facing work begins
3. C.Negotiating a lower per-gigabyte storage rate to fund the direct-to-consumer initiative from savings
4. D.Relocating the mainframe workload to rented virtual machines so the contractors can be released sooner

Question 2 · Exploring Data Transformation with Google Cloud

Wexler Farms Cooperative collects soil moisture readings from 4,800 field sensors that each publish a small message every 30 seconds. The data engineering lead needs a service that accepts this continuous flood of messages, buffers them, and lets several downstream consumers read the same stream independently. Which Google Cloud service fits this ingestion role?

1. A.Pub/Sub, which decouples publishers from subscribers with a scalable messaging layer
2. B.Cloud Storage, using one object per sensor reading
3. C.Looker Studio, which connects directly to the sensor fleet
4. D.Cloud SQL, configured with a high-throughput write replica

Question 3 · Innovating with Google Cloud Artificial Intelligence

Sabelo Ntuli manages customer support for a home appliance brand and wants to route the 9,000 emails his team receives each week into repair, billing, and warranty queues. He has three years of manually tagged historical emails and no data scientists on staff. Which approach should he evaluate first?

1. A.Hire a data science team to build a bespoke classifier as a prerequisite to any automation
2. B.Train a custom foundation model from scratch on the tagged email archive
3. C.Write an exhaustive keyword rule set covering every phrasing customers use
4. D.Use a pre-trained natural language service or a foundation model via API, grounded in his labeled examples, before considering custom training

Question 4 · Modernize Infrastructure and Applications with Google Cloud

Ashgrove Tickets runs a Java web application on aging on-premises servers whose lease ends in five months. The application cannot be rewritten in that window, but the hardware must be vacated. Which migration approach fits the constraint?

1. A.Rebuild the application as event-driven functions on Cloud Run functions
2. B.Replace the application with a commercial ticketing SaaS product before the lease ends
3. C.Rehost the application on Compute Engine virtual machines with minimal code change
4. D.Refactor the application into microservices deployed on Google Kubernetes Engine

Question 5 · Trust and Security with Google Cloud

During an access review at Quillon Biotech, an auditor finds that eight members of the data engineering team hold the Owner role on the production project so they can occasionally restart a pipeline. What should the security team recommend?

1. A.Grant the narrower predefined or custom roles that permit restarting pipelines, applying least privilege
2. B.Move the eight users into a group and grant the Owner role to that group instead
3. C.Keep Owner but require the team to document each restart in a shared log
4. D.Replace the eight individual grants with one shared account holding the Owner role

Question 6 · Scaling with Google Cloud Operations

Callum Shrewsbury, an SRE at a streaming service, needs a single measurable target that expresses how reliable the checkout API must be for the business, so that the team can decide when to slow feature work and stabilize instead. What should he define?

1. A.A service level objective, a target value for a chosen reliability metric over a defined window
2. B.A runbook describing the steps to restart the checkout service
3. C.A capacity forecast projecting checkout traffic for the next four quarters
4. D.A postmortem template to be completed after each checkout incident

Question 7 · Digital Transformation with Google Cloud

Marisol Vantaa runs facilities for a chain of 62 parking garages. Her team owns the gate hardware, the ticket kiosks, and a small server room in each garage, and she is frustrated that a hardware refresh consumes most of her budget every four years. She wants to keep her existing custom gate-control application code but stop buying, racking, and patching physical machines. Which cloud service model most directly addresses this?

1. A.A managed detection and response contract, because a third party assumes operational duty
2. B.Software as a Service, because the vendor supplies a finished parking application
3. C.A colocation agreement, because the servers move to a shared facility she still owns
4. D.Infrastructure as a Service, because compute and storage are consumed on demand while she keeps her application

Question 8 · Exploring Data Transformation with Google Cloud

The analytics group at Duncastle Cinemas has 14 years of ticketing history, roughly 90 terabytes, and wants analysts to run ad hoc SQL across the whole history without a team managing clusters or capacity. Which Google Cloud service is the appropriate destination for this workload?

1. A.BigQuery, a serverless data warehouse for large-scale SQL analytics
2. B.Filestore, a managed network file system
3. C.Firestore, a document database for application data
4. D.Cloud Bigtable, optimized for single-row lookups at very low latency