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Certifications›GCDL›Objectives›Google Cloud products, services, and solutions
Objective 3.0

Google Cloud products, services, and solutions

GCDL Practice Questions

Use this page to practise Google Cloud products, services, and solutions questions for this certification. Focus on how the exam tests google cloud products, services, and solutions in scenario format — understanding the why behind each answer builds more durable knowledge than memorising options.

Full Practice Test →All Objectives

What this objective tests

GCDL Google Cloud products, services, and solutions — Key Topics

Google Cloud products, services, and solutions questions on this certification test your ability to deploy and manage google cloud products, services, and solutions concepts in scenario-based situations.

  • Core Google Cloud products, services, and solutions concepts and how they apply in real-world cloud scenarios.
  • How to deploy google cloud products, services, and solutions correctly and verify the outcome.
  • Troubleshooting google cloud products, services, and solutions issues by interpreting error output and system state.
  • Cloud best practices and Google Cloud products, services, and solutions design trade-offs tested by this certification.

Common exam traps

Where candidates lose marks on Google Cloud products, services, and solutions

  • ⚠Selecting the most expensive service when a simpler managed option meets the requirement.
  • ⚠Forgetting that cloud resources must be explicitly secured — defaults are rarely secure.
  • ⚠Choosing a global service fix when the issue is region-specific.
  • ⚠Overlooking cost implications of cross-region data transfer in architecture questions.

GCDL Google Cloud products, services, and solutions — Practice Questions

30 questions from this objective

Question 2easymultiple choice
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A data analytics team needs to analyze petabytes of structured data using SQL queries without managing any database infrastructure. Query results must return within seconds for most queries. Which Google Cloud service is designed for this use case?

Question 3easymultiple choice
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A developer wants to deploy a containerized web application without managing servers, clusters, or Kubernetes configuration. The application should automatically scale to zero when not in use and handle bursts of traffic. Which Google Cloud service is the best fit?

Question 4mediummultiple choice
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A retail company wants to build a recommendation engine that suggests products to customers based on their browsing history. The team has ML expertise but wants to use Google's pre-built ML infrastructure to train and deploy models at scale without managing compute resources. Which Google Cloud service should they use?

Question 5easymultiple choice
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A company needs to store large volumes of unstructured data (images, videos, backups, documents) with high durability and global accessibility. Which Google Cloud service is designed for object storage at any scale?

Question 6mediummultiple choice
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A business intelligence team wants to create interactive dashboards and reports from their BigQuery data without writing code. They need to share reports with stakeholders who don't have GCP accounts. Which Google Cloud tool is most appropriate?

Question 7mediummultiple choice
Read the full NAT/PAT explanation →

A company wants to build an application that can understand and respond to natural language queries from customers (e.g., a customer support chatbot). Which Google Cloud capability should they use?

Question 8easymultiple choice
Read the full NAT/PAT explanation →

A company needs to send messages between different microservices in a decoupled way. When one service publishes an event, multiple downstream services should receive and process it independently. Which Google Cloud service enables this publish-subscribe messaging pattern?

Question 9hardmultiple choice
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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?

Question 10mediummultiple choice
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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?

Question 11easymultiple choice
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A company wants to use pre-trained Google AI models to add vision capabilities to their application — specifically to detect objects in images and extract text from scanned documents — without training their own models. Which Google Cloud APIs provide these capabilities?

Question 12mediummultiple choice
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A company runs many containerized microservices that need orchestration — automatic scheduling, scaling, self-healing, and rolling updates. They want a managed service so they don't maintain the control plane themselves. Which Google Cloud service is purpose-built for this?

Question 13easymultiple choice
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A development team builds a mobile app using Firebase. They need a real-time database that syncs data across all connected clients instantly (e.g., a collaborative to-do app where all users see updates in real-time). Which Firebase/Google Cloud service provides this?

Question 14mediummultiple choice
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A company's web application faces DDoS attacks and SQL injection attempts from the internet. They need a service that sits in front of their load balancer to block malicious traffic before it reaches their application servers. Which Google Cloud service provides this protection?

Question 15mediummultiple choice
Read the full VPN explanation →

An enterprise wants employees to access internal web applications securely from any location (including remote work from home) without using a VPN. Employees should only access apps they're authorized for, based on their identity and device context. Which Google Cloud service enables this zero-trust access model?

Question 16hardmultiple choice
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A company runs workloads across Google Cloud and on-premises environments. They want a single management plane to deploy and manage containerized applications consistently across both environments using the same tooling and policies. Which Google Cloud product provides this unified hybrid/multi-cloud management?

Question 17easymultiple choice
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A company wants to send transactional emails (receipts, password resets) and marketing emails at scale from their application. Which approach is recommended when using Google Cloud?

Question 18mediummultiple choice
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A data engineering team needs to orchestrate a complex data pipeline that involves multiple steps: extracting data from various sources, transforming it with Dataflow, loading it into BigQuery, and running validation jobs — all in a specific sequence with retry logic and scheduling. Which Google Cloud service manages this workflow orchestration?

Question 19easymultiple choice
Read the full DNS explanation →

A company wants its internal applications to be accessible via a custom domain name (e.g., `app.company.com`) that routes to their Google Cloud load balancer. Which Google Cloud service manages DNS records for this?

Question 20hardmultiple choice
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A company wants to use Google Cloud's Generative AI capabilities to build an internal assistant that can answer questions about company policies using documents stored in Google Drive. Which Google Cloud product provides pre-built infrastructure for building this type of AI application?

Question 21mediummultiple choice
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A company currently uses Hadoop and Spark for batch data processing on a large on-premises cluster. They want to migrate these workloads to Google Cloud with minimal rewriting of existing Spark and Hadoop jobs. Which Google Cloud service is the best fit?

Question 22easymultiple choice
Read the full NAT/PAT explanation →

A development team needs a managed relational database (MySQL or PostgreSQL) for their web application. They want automatic backups, patching, and high availability without managing a database server. Which Google Cloud service provides this?

Question 23mediummultiple choice
Read the full NAT/PAT explanation →

A power utility company collects electricity meter readings from 10 million smart meters every 15 minutes — generating billions of rows of time-series data per year. They need to query this data to detect anomalies and patterns. Which Google Cloud database is optimized for this massive-scale time-series IoT data?

Question 24easymultiple choice
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A developer wants to run a small piece of code that resizes images whenever a new image is uploaded to Cloud Storage. The code runs for less than a second and should only be triggered by the upload event. No always-on server is needed. Which Google Cloud service is ideal?

Question 25mediummultiple choice
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A development team uses Cloud Build to automatically build, test, and create container images whenever code is pushed to their repository. The resulting Docker images need to be stored securely and made available to their GKE deployment pipelines. Which Google Cloud service stores and manages these container images?

Question 26hardmultiple choice
Read the full NAT/PAT explanation →

An enterprise needs advanced business intelligence capabilities: governed semantic models that business users query with natural language, embedded analytics in their customer-facing application, and centralized data access controls. Which Google Cloud analytics product is purpose-built for these enterprise BI requirements?

Question 27mediummultiple choice
Read the full NAT/PAT explanation →

A healthcare organization wants to build an application that ingests FHIR-formatted patient records from multiple hospital systems, normalizes them, and makes them queryable by clinical researchers. Which Google Cloud service is purpose-built for healthcare data interoperability?

Question 28easymultiple choice
Review the full routing breakdown →

A company wants to add location-based features to their mobile app: showing nearby stores, calculating driving routes, and embedding interactive maps. Which Google Cloud platform provides these mapping and location services?

Question 29mediummultiple choice
Read the full NAT/PAT explanation →

A company's PostgreSQL database has grown to 50 TB and their application requires near-zero downtime, automatic failover, and the ability to scale reads horizontally without the migration complexity of switching to Spanner. Which Google Cloud database product is specifically designed as a fully managed, highly scalable PostgreSQL-compatible database?

Question 30easymultiple choice
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A global e-commerce company wants to build a product recommendation engine that suggests items to customers based on their real-time browsing behavior and purchase history. They want a pre-built solution that doesn't require building an ML recommendation model from scratch. Which Google Cloud product is purpose-built for retail recommendations?

Question 31mediummultiple choice
Read the full NAT/PAT explanation →

A team uses multiple cloud services and wants to deploy all resources — VPCs, Cloud SQL databases, GKE clusters, and IAM roles — using a declarative, open-source infrastructure-as-code tool that works across multiple cloud providers. Which tool integrates natively with Google Cloud for this purpose?

More Google Cloud products, services, and solutions questions available in the full practice test.

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Fundamental cloud concepts

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Scaling with Google Cloud operations

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All GCDL Objectives

  • 1.Why cloud technology is transforming business
  • 2.Fundamental cloud concepts
  • 3.Google Cloud products, services, and solutions
  • 4.Scaling with Google Cloud operations
  • 5.Trust and security with Google Cloud