Cloud Digital Leader Google Cloud Products and Services Practice Test 5 — 15 Questions

Question 1

A company runs batch processing jobs on scheduled intervals. They want to minimise costs by using short-lived compute capacity that can be interrupted but offers significant discounts. Which type of Compute Engine VM should they use?

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

Accepted Answer

Preemptible VMs. Preemptible VMs (and Spot VMs) offer up to 60-91% discount but can be terminated at any time, making them ideal for batch jobs that can tolerate interruptions.

Answer

E2 high-memory VMs

Answer

Sole-tenant nodes

Answer

Confidential VMs

Question 2

Which Google Cloud service provides a serverless data warehouse for running SQL queries on petabyte-scale data with no need to manage infrastructure?

Accepted Answer

BigQuery. BigQuery is a fully managed, serverless data warehouse that supports SQL queries on massive datasets.

Answer

Cloud SQL

Answer

Dataflow

Answer

Pub/Sub

Question 3

A developer needs to trigger a serverless function whenever a new file is uploaded to a Cloud Storage bucket. The function will process the file and store results in Firestore. Which Google Cloud service should they use for the function?

Accepted Answer

Cloud Functions. Cloud Functions is an event-driven serverless compute service that can be triggered by Cloud Storage events.

Answer

App Engine

Answer

Compute Engine

Answer

Cloud Run

Question 4

An organisation must store archival data that is accessed less than once a year. They need the lowest storage cost and can tolerate a retrieval time of several hours. Which Cloud Storage class should they use?

Accepted Answer

Archive. Archive storage is the cheapest storage class, designed for data accessed less than once a year with retrieval times in hours.

Answer

Coldline

Answer

Nearline

Answer

Standard

Question 5

A data science team needs to train a custom machine learning model using their own data. They want a unified platform that manages the entire ML lifecycle, including data preparation, training, tuning, and deployment. Which service should they use?

Accepted Answer

Vertex AI. Vertex AI is Google Cloud's unified ML platform that covers the full lifecycle from data to deployment.

Answer

AutoML

Answer

AI Platform

Answer

Cloud Functions

Question 6

A company uses Google Workspace for email, documents, and meetings. They want to leverage an AI assistant that can help draft emails, create slides, and summarise meeting notes. Which product provides this functionality?

Accepted Answer

Gemini for Workspace. Duet AI (now Gemini for Workspace) provides AI-powered assistance across Gmail, Docs, Slides, Meet, and more.

Answer

Vertex AI

Answer

Cloud Natural Language

Answer

Dialogflow

Question 7

An engineer needs to distribute incoming HTTP traffic across multiple backend VM instances in different regions, with automatic failover and SSL termination. Which load balancing product should they use?

Accepted Answer

Cloud Load Balancing. Cloud Load Balancing (External HTTP(S) Load Balancer) provides global, multi-region load balancing with SSL termination and health checks.

Answer

Cloud CDN

Answer

Cloud NAT

Answer

Cloud Armor

Question 8

A company wants to migrate its on-premises Oracle database to Google Cloud. They need PostgreSQL compatibility with high performance for transaction processing and built-in support for AI-driven optimisations. Which database service should they choose?

Accepted Answer

AlloyDB. AlloyDB is a PostgreSQL-compatible database with 4x faster transaction processing than standard PostgreSQL and AI-powered features for performance optimization.

Answer

Cloud Spanner

Answer

Bigtable

Answer

Cloud SQL for PostgreSQL

Question 9

Which Google Cloud service is used for monitoring and alerting on the performance and health of cloud resources?

Accepted Answer

Cloud Monitoring. Cloud Monitoring (formerly Stackdriver Monitoring) provides visibility into the performance, uptime, and health of cloud applications.

Answer

Cloud Logging

Answer

Cloud Profiler

Answer

Cloud Trace

Question 10

A company is building a real-time analytics pipeline on Google Cloud. They need to ingest streaming data from IoT devices, process it with low latency, and then store the results for real-time querying. Which TWO services should they use? (Choose TWO.)

Accepted Answer

Cloud Pub/Sub. Pub/Sub ingests streaming data reliably, and Dataflow processes it with low latency. Other options are not suitable for real-time streaming analytics.

Answer

Cloud Storage

Answer

Cloud Functions

Answer

BigQuery

Question 11

A developer wants to deploy a containerised microservice that can scale to zero when not in use and automatically scale up based on HTTP requests. The microservice is stateless and runs a custom Docker image. Which Google Cloud compute service is BEST suited for this workload?

Accepted Answer

Cloud Run. Cloud Run is a serverless compute platform that runs stateless containers and can scale to zero when idle. It automatically scales based on incoming requests, making it ideal for event-driven microservices. GKE requires a cluster to run even when idle, Compute Engine VMs are always on, and App Engine Standard does not support custom containers.

Answer

Google Kubernetes Engine (GKE)

Answer

Compute Engine with managed instance groups

Answer

App Engine Standard environment

Question 12

An organisation needs to run a batch analytics job every night that processes terabytes of data stored in Cloud Storage. The job is expected to run for 3 hours and can tolerate interruptions. The compute resources should be as cost-effective as possible. Which Compute Engine VM type should be used?

Accepted Answer

Preemptible VMs. Preemptible VMs are significantly cheaper than standard VMs and are ideal for batch jobs that can tolerate interruptions. They can be preempted at any time but can be restarted. Standard VMs are for long-running, fault-intolerant workloads. Sole-tenant nodes are for compliance, not cost savings. Custom machine types allow tailoring resources but do not inherently save cost like preemptible VMs.

Answer

Standard (on-demand) VMs

Answer

Custom machine types

Answer

Sole-tenant nodes

Question 13

A data engineer needs to process a continuous stream of events from a global user base, perform real-time transformations, and write the results to both Cloud Storage and BigQuery. The solution must handle sudden traffic spikes and be fully managed (no server management). Which combination of services should the engineer use?

Accepted Answer

Pub/Sub, Dataflow, Cloud Storage, BigQuery. Pub/Sub ingests and buffers the stream, Dataflow (a fully managed stream processing service) reads from Pub/Sub, performs transformations, and writes to Cloud Storage and BigQuery with exactly-once semantics. Cloud Functions is for lightweight event-driven code, not heavy stream processing. Cloud Scheduler is for cron jobs. Composer is for workflow orchestration.

Answer

Pub/Sub, Cloud Functions, Cloud Storage

Answer

Pub/Sub, Dataflow, Cloud Functions

Answer

Cloud Scheduler, Cloud Functions, BigQuery

Question 14

A company runs a global web application hosted on Compute Engine behind a Cloud Load Balancer. They want to protect against DDoS attacks and filter incoming traffic based on IP reputation and geolocation. Which Google Cloud service should they use?

Accepted Answer

Cloud Armor. Cloud Armor is a web application firewall (WAF) and DDoS protection service that integrates with Cloud Load Balancing. It allows IP allow/deny lists, rate limiting, and predefined rules to block traffic based on geo-location and threat intelligence. VPC firewall rules operate at the network level but cannot inspect application-layer traffic or use IP reputation. Cloud CDN caches content but does not filter traffic. Cloud NAT provides outbound connectivity only.

Answer

Cloud CDN

Answer

Cloud NAT

Answer

VPC firewall rules

Question 15

A startup is building a mobile app backend that requires a scalable NoSQL database with real-time synchronisation across devices. The database should support offline access and automatic conflict resolution. Which Google Cloud database service meets these requirements?

Accepted Answer

Firestore. Firestore is a NoSQL document database that offers real-time listeners, offline data persistence, and automatic multi-device synchronisation. It is designed for mobile and web apps. Bigtable is for high-throughput time-series, Cloud SQL is relational, and Cloud Spanner is for globally distributed relational workloads without built-in offline syncing.

Answer

Cloud Spanner

Answer

Cloud SQL

Answer

Cloud Bigtable