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GCP Core Services Overview (GCP CDL) Flashcards
GCP Cloud Digital Leader Flashcards
Study our GCP Core Services Overview (GCP CDL) flashcards for the GCP Cloud Digital Leader exam with 30+ flashcards. View as flashcards, a searchable table, or as a fun matching game.
| Front | Back |
| How does BigQuery achieve high performance for large queries | By leveraging massively parallel processing and columnar storage architecture. |
| How does Cloud Data Fusion help with data integration | It provides a graphical interface for designing, building, and managing data pipelines. |
| How does Cloud Run differ from Compute Engine | Cloud Run is fully managed and designed for containerized applications, while Compute Engine provides virtual machines for customization. |
| How does Compute Engine compare to App Engine | Compute Engine offers more customization and control over infrastructure, while App Engine is fully managed for app development. |
| How does Compute Engine support scalability | By allowing users to create and manage virtual machine instances that can scale up or down based on demand. |
| How does Vertex AI support machine learning projects | Offers an end-to-end platform for building, deploying, and scaling ML models. |
| What are Cloud Storage multi-region locations used for | Providing high availability and redundancy across multiple geographic areas. |
| What are key advantages of using Cloud SQL | Fully-managed relational databases with high availability, automatic backups, and scalability. |
| What are the key use cases of BigQuery | Data warehousing, business intelligence, customer behavior analysis, and real-time analytics. |
| What does Cloud Endpoints offer | Tools for managing APIs, including traffic management, authentication, and monitoring. |
| What is a key feature of Compute Engine's pricing model | Pay-as-you-go billing with sustained use discounts for long-running instances. |
| What is BigQuery | A fully-managed serverless data warehouse for performing analytics on large datasets. |
| What is Cloud Spanner | A globally distributed and horizontally scalable relational database service. |
| What is Cloud Storage | A globally distributed, object storage service for unstructured data like images, videos, and backups. |
| What is Compute Engine | Google Cloud's Infrastructure-as-a-Service (IaaS) offering for running virtual machines. |
| What is preemptible VM in Compute Engine | A cost-effective, short-lived virtual machine type suitable for batch processing and fault-tolerant workloads. |
| What is the benefit of using BigQuery ML | Enables data scientists and analysts to build and operationalize machine learning models directly within BigQuery. |
| What is the benefit of using Memorystore | Fully-managed in-memory data storage for caching and real-time analytics. |
| What is the difference between Persistent Disk and Cloud Storage | Persistent Disk is block storage for Compute Engine instances, while Cloud Storage is object storage for unstructured data. |
| What is the key feature of Stackdriver | Provides monitoring, logging, and diagnostics services for applications in GCP. |
| What is the primary function of Cloud Storage buckets | To store, organize, and manage your data in a hierarchical structure. |
| What is the purpose of Cloud Functions | Allows developers to execute code in response to events without managing servers or infrastructure. |
| What is the purpose of Cloud Pub/Sub | A messaging service for building event-driven systems and real-time analytics. |
| What is the role of an IAM policy in Cloud Storage | Defines who has access to storage buckets and what actions they can perform. |
| What is the role of interconnect options like Cloud VPN | Provides secure and encrypted connections between GCP and on-premises infrastructure. |
| What is the role of Kubernetes Engine in GCP | A managed platform for deploying, scaling, and managing containerized applications using Kubernetes. |
| What is the use case of Cloud Firestore | A NoSQL document database ideal for building mobile, web, and server applications. |
| What makes BigQuery serverless | It does not require infrastructure management, allowing users to focus on querying data directly. |
| What problem does Dataflow solve | Simplifies streaming and batch data processing with a unified programming model. |
| What storage classes does Cloud Storage offer | Standard, Nearline, Coldline, and Archive for different access needs and pricing. |
About the Flashcards
Flashcards for the GCP Cloud Digital Leader exam walk you through essential Google Cloud products and concepts tested on the certification. Review how Compute Engine delivers scalable virtual machines, how BigQuery powers serverless analytics, and how Cloud Storage protects data with multiple classes and IAM control. Each card reinforces definitions, benefits, and practical use cases.
The deck also covers managed databases like Cloud SQL, Spanner, and Firestore; event-driven tools such as Pub/Sub and Cloud Functions; and container solutions including Kubernetes Engine and Cloud Run. Networking, monitoring, and security services-Cloud VPN, interconnects, and Stackdriver-round out the content, ensuring you can compare features, identify best-fit services, and answer scenario questions confidently.
Topics covered in this flashcard deck:
- Virtual machine compute
- Serverless & containers
- Storage classes & options
- Data warehousing & analytics
- Managed databases
- Monitoring & security