Objective 3.012% of exam

Google Cloud products, services, and solutions

GCDL Practice Questions

This domain covers the Google Cloud product portfolio: compute, storage, databases, networking, data analytics, and AI/ML, plus how each maps to business needs. The exam tests this through scenario questions asking which Google Cloud service best fits a stated requirement, cost, or workload, rather than deep configuration detail.

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What this objective tests

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

Map each requirement to the right Google Cloud service: Compute Engine vs GKE vs Cloud Run, Cloud Storage classes, BigQuery, Pub/Sub, Vertex AI. Nail the deciding constraint—managed vs serverless, cost, or latency—before choosing.

Selecting Compute Engine, GKE, Cloud Run, or App Engine for a given workload
Choosing among Cloud Storage classes, Cloud SQL, Spanner, and BigQuery by use case
Identifying networking services like VPC, Cloud Load Balancing, and Cloud CDN
Mapping AI/ML and analytics tools such as Vertex AI and Pub/Sub to needs

Common exam traps

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

⚠Confusing Cloud Run with Cloud Functions, or GKE with Compute Engine, when the scenario hinges on containers versus VMs versus event-driven code.
⚠Assuming BigQuery is a transactional database; it is an analytics warehouse, so OLTP workloads belong to Cloud SQL or Spanner.
⚠Treating Cloud Storage classes as interchangeable, ignoring that Nearline, Coldline, and Archive trade retrieval cost and latency for storage price.

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

30 questions from this objective · 12% of your GCDL exam

Question 2hardmultiple choice

Google Cloud products, services, and solutions

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

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

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

A company uses BigQuery for analytics and needs to enforce row-level security based on user department. Only users from the 'Sales' department should see rows where department = 'Sales'. Which BigQuery feature should they use?

Exhibit

Given the Cloud Run service configuration above, what happens when a new revision is created after deploying a change to the container image?

Exhibit

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?

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?

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?

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?

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?

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?

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?

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?

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?

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?

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?

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?

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?

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?

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?

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?

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?

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?

All GCDL Objectives

Google Cloud products, services, and solutions

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

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

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

A company uses BigQuery for analytics and needs to enforce row-level security based on user department. Only users from the 'Sales' department should see rows where department = 'Sales'. Which BigQuery feature should they use?

Exhibit

Given the Cloud Run service configuration above, what happens when a new revision is created after deploying a change to the container image?

Exhibit

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?

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?

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?

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?

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?

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?

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?

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?

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?

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?

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?

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?

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?

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?

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?

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?

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?

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?

All GCDL Objectives