Scenario: A company needs to process large amounts of streaming data in real-time. Which Google Cloud service would be the most suitable for this requirement?
- Google Cloud Dataflow
- Google BigQuery
- Google Cloud Dataprep
- Google Cloud Pub/Sub
Understanding the capabilities and use cases of different Google Cloud services is essential for selecting the right tool for specific data processing requirements. In this scenario, Google Cloud Dataflow stands out as the most suitable option for processing large amounts of streaming data in real-time.
_______ is a feature of Cloud Storage that enables data to be stored across multiple regions for redundancy and disaster recovery.
- Multi-Regional
- Regional
- Nearline
- Coldline
Understanding the different storage classes offered by Google Cloud Storage, including their features and use cases, is essential for optimizing storage costs and ensuring data availability and durability. Multi-Regional storage provides redundancy across geographically diverse locations, making it suitable for critical data requiring high availability and disaster recovery capabilities.
Which component of AI Platform facilitates the deployment of trained machine learning models?
- AI Platform Prediction
- AI Platform Training
- AI Platform Notebooks
- AI Platform Vertex
Understanding the components of AI Platform and their respective functionalities is crucial for designing and deploying machine learning solutions on Google Cloud Platform. Knowing which component handles model deployment helps streamline the development and deployment process.
Nearline and Coldline storage offer _______ access to data compared to Standard storage.
- Lower-latency
- Higher-latency
- No-latency
- Variable-latency
Understanding the performance characteristics of different storage classes helps in choosing the most suitable option based on access patterns and cost considerations. Nearline and Coldline storage offer cost-effective solutions for storing infrequently accessed data, albeit with slightly higher access latency.
In Cloud DNS, what is the significance of DNS resolution?
- Converting domain names to IP addresses
- Allocating IP addresses to devices
- Balancing load across servers
- Encrypting data transmissions
DNS resolution is a critical function that enables the internet to be user-friendly by allowing users to connect to websites and services using domain names instead of numeric IP addresses. This process underpins the accessibility and functionality of the web.
Scenario: A developer is building a microservices architecture and needs to decouple services for better scalability and reliability. Which messaging service would be the most suitable for this requirement?
- Cloud Pub/Sub
- Cloud Firestore
- Cloud Spanner
- Cloud Storage
Building a microservices architecture requires careful consideration of communication patterns and technologies. Pub/Sub is well-suited for decoupling services and enabling asynchronous communication, making it the most suitable choice for this scenario.
Scenario: An e-commerce website needs to resize images uploaded by users before storing them in Cloud Storage. Which Google Cloud service can be used to achieve this efficiently?
- Cloud Functions
- App Engine
- AI Platform
- Cloud Vision API
Cloud Functions is well-suited for handling image resizing tasks in response to Cloud Storage events due to its serverless nature, scalability, and ease of integration with other Google Cloud services. Understanding the appropriate use cases for different serverless services helps architects design efficient and cost-effective solutions.
Google Cloud Load Balancing provides _______ for both HTTP and HTTPS traffic.
- Content Caching
- SSL Termination
- Session Affinity
- URL Rewriting
SSL Termination is essential for managing secure traffic efficiently, offloading the decryption process from backend servers and ensuring smooth, secure connections.
Scenario: A company needs to store and retrieve large volumes of unstructured data with high availability. Which Google Cloud service should they choose, considering scalability and consistency requirements?
- Cloud Storage
- Bigtable
- Cloud SQL
- Firestore
Cloud Firestore is well-suited for storing unstructured data with high availability requirements. Its flexible data model and horizontal scalability make it an excellent choice for this scenario.
The _______ command-line tool in Google Cloud Shell provides powerful management capabilities for GCP resources.
- gcloud
- kubectl
- terraform
- ansible
The gcloud command-line tool is essential for managing Google Cloud Platform resources, providing comprehensive functionalities directly within Google Cloud Shell.